© Jongpyo Hong 2025

Interdisciplinary synthesis of
engineering, law, and finance.

Exploring the convergence of systemic risk, constitutional logic, and memory thermodynamics. Currently serving in the 15th CBRN, V Corps.


Military Service

Battalion Commander’s Vehicle Operator

15th CBRN, V Corps

The Ethics of Proximity: Maintaining strict confidentiality and discipline while operating in high-stakes environments.

Technical Protocol: Driving Formula (Heavy-Duty Truck) Expand +

Context: As a Transportation Specialist, operating heavy-duty tactical vehicles required more than intuition; it required an algorithm. Due to limited visibility and manual transmission, relying on “feel” was a safety risk. This standardized protocol navigated L, S, and T licensure courses with zero error margins.

Transmission Gear Layout (Manual)

[R]  [2]  [5]
 |    |    |
 |    |    |
[1]  [3]  [4]
                            

*Spring tension exists between R and 2. To avoid accidental 5th gear entry, find the resistance point and push forward for 2nd gear.

L (Crooked Course)

  1. Position truck close to right lane.
  2. Stop when left mirror is parallel to 1st cornerstone.
  3. Full Left: Proceed until mid-line aligns with body.
  4. Full Right: Reverse (check right mirror for rear wheel).
  5. Approach next corner close to left lane.
  6. Stop when right mirror parallel to cornerstone.
  7. Full Right: Proceed until 1/3 of left fender aligns with lane.
  8. Full Left: Reverse slightly to create room.
  9. Full Right: Exit.

S (Curved Course)

  1. Locate truck close to right lane.
  2. Straight until left blinker is 30cm from lane.
  3. Full Left: Proceed until left blinker aligns with lane.
  4. Full Right: Reverse until right rear wheel touches lane.
  5. Straight, then rotate left accordingly.
  6. Rotate Right when 1/3 fender approaches left lane.
  7. Stop when 1/3 fender aligns with left lane.
  8. Full Left: Reverse until left rear wheel touches lane.
  9. Proceed/Rotate Right to exit.

T (Direction Change)

  1. Locate truck close to left lane.
  2. Straight until shoulders align with 2nd stone.
  3. Full Right: Proceed until shoulders align with 3rd stone.
  4. Full Left: Reverse until parallel to side pit.
  5. Reverse until rear wheels pass verification line.
  6. Full Left: Proceed until left fender aligns with yellow/black border.
  7. Full Right: Proceed until 1/3 left fender aligns with lane.
  8. Full Left: Reverse until rear wheel touches left lane.
  9. Exit course.

Research & Analysis

Engineering & Physics

Senior Thesis (Yonsei University)

Impact of applied external resistor and pulse variance in Te-based Ovonic Threshold Switching (SOM)

Simplified Explanation

"How does a material remember the electric pulses it has experienced before?"

Most computers separate memory (storage) and logic (processing). My research explores Selector-Only Memory (SOM), where a material acts like a "smart bouncer"—deciding whether to let current pass based on the history of previous electrical pulses.

By controlling the "rhythm" of these pulses (timing) and the "pressure" (resistance), we can teach the material to remember binary states (0 or 1) without traditional transistors. In short: timing writes history.

Read Full Technical Paper

Jongpyo Hong (2022199013)¹, Siwon Park², Su-Bong Lee², Young-Min Kim², Sangyeop Kim², and Jong-Souk Yeo (advisor)¹²

1. Nano Science and Engineering, Integrated Science and Engineering Division, Underwood International College, Yonsei University

2. School of Integrated Technology, College of Computing Yonsei University

jongsoukyeo@yonsei.ac.kr

Abstract

The integration of phase change memory (PCM) with ovonic threshold switching (OTS) selectors in a 3D crosspoint array has gained attention for its potential and its promising developments in memory technology. Stability and scalability of the integration of PCM with OTS remain a challenge, particularly due to the instability in the threshold voltage of OTS devices from the application of pulses. This research capitalizes on the instability of the threshold voltage and investigates the impact of pulse rise and fall time and external resistor on threshold voltage shift in a Te-based OTS device to enhance the read window margin (RWM), which is a crucial component to realize a reliable binary data storage in selector-only memory (SOM) applications. By varying pulse durations, this research demonstrates that shorter pulses show greater shifts in threshold voltage. This research also demonstrates that addition of higher resistance with external resistors increases the magnitude of both positive and negative threshold voltage shifts. These findings provide a pathway to optimizing OTS devices for better distinction between binary states, thereby enhancing memory reliability for SOM applications.

1. Introduction

Computers have become an indispensable part of our lives, handling from the most mundane tasks to the most demanding, specialized calculations. As the higher end of the spectrum became ever more challenging, especially with today’s furor with artificial intelligence (AI), the search for better memory that meets the requirements including, but not limited to, larger data storage, faster operating speed, better endurance, and greater density has become imperative [1]. The physical segregation of processor and memory units in the traditional von Neumann architecture heavily restricts the amount of data that can be transferred, a phenomenon known as the von Neumann bottleneck [2]. Not only that, but also the traditional charge-based memory devices have low scalability and are power inefficient [3]–[6].

The advent of 3D-stacking memory technology was a step toward satiating the greater density requirement. Employing phase change memory (PCM) cells in a cross-point architecture showed promising results in terms of endurance and scalability [7]. PCM, one of the resistive switching materials (RSMs) that takes advantage of phase transitions between amorphous and crystalline states that exhibit significantly different electrical resistance [2], secured its spot among the numerous candidates for revolutionizing memory.

The highly dense 3D crossbar architecture comes at a cost, however. Word and bit lines can be visualized as skew lines on parallel planes that are connected by the two opposite terminals of a single cell. The word and bit line to which the cell is connected are selected to select a target PCM cell. Since multiple cells belong to either the selected word line or bit line, these cells are half-selected, forming sneak currents [8] that could further entail system failure [9]. Something that selectively allows current to the target cell while suppressing sneak current in others was necessary.

Enter the ovonic threshold switching (OTS) selectors, chalcogenide-based materials that exhibit high electrical resistance below the threshold voltage and low electrical resistance above the threshold voltage. This makes it possible to apply a voltage to the word and bit line of the target memory cell so that the applied voltage to the target cell is above the threshold voltage while the half-selected cells receive less than the threshold voltage. Hence only the target memory cell is selected while the other half-selected cells have negligible current. The combination of PCM cells with OTS selectors in the 3D crosspoint array is thus vital.

However, this method of employing PCM with an OTS selector has problems of its own. The integration of the two different layers of PCM and OTS makes the fabrication process difficult, and the scaled distance between cells further worsens the thermal issues of PCM [11]. Although a selector is needed for PCM to function properly, the stack must be simplified further. Additionally, the threshold voltage of the OTS device is unstable, being noticeably influenced by the pulse applied. Previous studies have reported that an OTS selector exhibits a shift in its threshold voltage as a response to a change in the width, amplitude, ramp rate, and polarity of the pulse [12]–[15].

The shift in the threshold voltage induced by the polarity of the applied pulse, initially considered an undesirable instability, can be capitalized upon to simplify the PCM-OTS stack by using only the OTS device as a memory device without the PCM, creating a selector-only memory (SOM) device. The disparity between the subsequent threshold voltages due to the polarity-induced threshold voltage shift can be utilized to store and retrieve memory. Specifically, a pulse with a value between the two threshold voltages can be applied, and depending on the previously applied pulse, the resulting current will vary: if the pulse is higher than the threshold, there will be a significant current, and if the pulse is lower than the threshold, there will be negligible current. This measurement of resulting current will help ascertain whether the threshold voltage is high or low, which represent the binary values of 0 and 1.

The use of a pulse between the threshold voltage values necessitates that the read window margin (RWM), the difference between the high threshold voltage and the low threshold voltage, be as wide as possible. A greater shift in the threshold voltage is desired as it would allow a clearer distinction between the binary 0 and 1 and hence less prone to errors. Therefore, this research seeks to address the need to enlarge the RWM by modulating the applied pulse. An external resistor was added to the device to alleviate the stress applied to the device by sudden increases in current, and it was observed that resistance also affects the change in threshold voltage. This paper thus investigates the effect of pulse rise and fall time and an external resistor on the change in threshold voltage.

2. Methods

A previous research study discovered that Se-based OTS exhibits a strong polarity effect [16]. Although it showed a strong polarity effect, there are some disadvantages to using Se, including its toxicity [17]. The low melting point of Se also hinders its use as an ideal sputter target, complicating the fabrication process. Therefore, this research selected Te as a substitute for Se because of its expected similar properties for they belong to the same group.

After cleaning the prepared SiO2 wafer with acetone, isopropyl alcohol (IPA), and deionized (DI) water, a bottom electrode of Tungsten is deposited via PVD. SiO2 layer is deposited again on the W layer via CVD, and a photoresist is spin-coated on the topmost layer. After eliminating the desired portions via maskless photolithography, the selected portions of SiO2 are etched via ICP-RIE. After removing the photoresist, the photolithography process is repeated on the device. The OTS material is deposited onto the topmost layer via RF sputter, and after the top electrode of W is sputtered, the photoresist is removed. The bottom electrode and the top electrode are connected to the electrical probes when analyzing the electrical properties of the device.

Fabrication steps of Te-based OTS devices

Fig. 1 Fabrication steps of the Te-based OTS devices.

This paper focuses on NSiTe device. Fig. 2 depicts the simple model of the final product of the fabricated device. Using this device, the pulse rise and fall times were initially varied, and the effect on the magnitude of threshold voltage shift was measured. Next, the external resistor applied to the system was varied, and its effect on the threshold voltage shift was also measured.

Final product of fabricated device

Fig. 2 Final product of the fabricated device.

3. Results and Discussion
3.1. Polarity Effect in Device and Suitable Scheme

NSiTe, fabricated via the aforementioned RF co-sputtering process, exhibited a good general trend of polarity-induced threshold voltage shift. It is notable that the direction of the shift is different from the phenomenon referred to in a previous study: the aforementioned polarity effect described a decrease in the threshold voltage for same subsequent polarity pulses and an increase in the threshold voltage for opposite subsequent polarity pulses [15]. NSiTe analyzed in this research, however, exhibited an increase in the threshold voltage for the same subsequent polarity pulses and a decrease in the threshold voltage for the opposite subsequent polarity pulses.

This paper follows the convention of the threshold voltage shift as shown in Equation (1).

$$ \Delta V_{th} = |\!V_{th}^{opp}\!| - |\!V_{th}^{same}\!| $$

The superscript “opp” and “same” refer to the relative polarity of the read pulse to the previous write pulse. Therefore, Equation (1) can be further specified into two separate regions of the negative and positive branches, depicted in Equation (2) and (3).

$$ \Delta V_{th}^{\mathrm{POS}} = \left| V_{th,\mathrm{NEG}}^{\mathrm{POS}} \right| - \left| V_{th,\mathrm{POS}}^{\mathrm{POS}} \right| $$

$$ \Delta V_{th}^{\mathrm{NEG}} = \left| V_{th,\mathrm{POS}}^{\mathrm{NEG}} \right| - \left| V_{th,\mathrm{NEG}}^{\mathrm{NEG}} \right| $$

The superscript is the polarity of the read pulse, and the subscript is the polarity of the previous write pulse. Since the device of focus in this research generally showed an increase in threshold voltage from subsequent positive pulse and a decrease in the absolute value of threshold voltage from subsequent negative pulse, \( \left| V_{th,\mathrm{POS}}^{\mathrm{POS}} \right| \) is greater than \( \left| V_{th,\mathrm{NEG}}^{\mathrm{POS}} \right| \), and \( \left| V_{th,\mathrm{NEG}}^{\mathrm{NEG}} \right| \) is less than \( \left| V_{th,\mathrm{POS}}^{\mathrm{NEG}} \right| \), and hence, \( \Delta V_{th}^{\mathrm{POS}} < 0 \) and \( \Delta V_{th}^{\mathrm{NEG}} > 0 \).

Devices that showed SOM characteristics in previous studies have generally shown a decrease in the threshold voltage when the write and read pulses are of the same polarity and an increase in the threshold voltage when they are of opposite polarity [16]. Therefore, the application of the device to practical memory uses the following scheme depicted in Fig. 3: when there is no initial write pulse, the read pulse will be the first pulse applied. This read pulse will be lower than the high threshold voltage, so there will be negligible current. This negligible current is translated to binary value of 0, meaning no data is stored. If there was an initial write pulse, the write pulse sets the high threshold voltage. The following read pulse will decrease the threshold voltage. This read pulse is higher than the lower threshold voltage, so there will be significant current. This high current is translated to binary value of 1, meaning data was stored. A reset pulse in the opposite negative direction is applied, and the cycle continues.

Fabrication steps of Te-based OTS devices

Fig. 3 Scheme for application of previously studied OTS devices for SOM use.

The NST device of this research, however, exhibits a different polarity-induced threshold voltage shift: the threshold voltage increases when the write and read pulses are of the same polarity. Fig. 4 shows the increase in the threshold voltage from the first black pulse to the next red pulse. Therefore, the application of this device requires a new scheme depicted in Fig. 5. If there was no write pulse, the first pulse applied will be the read pulse. This read pulse will set a low threshold voltage, and since this read pulse is higher than the low threshold voltage, there will be significant current. This significant current is translated to binary value of 0, meaning no data is stored. On the other hand, if there was a write pulse, the low threshold voltage will be set initially. The following read pulse will increase the threshold voltage. Since this threshold voltage is higher than the read pulse, there will be negligible current. This negligible current is translated to binary value of 1, meaning that there is data stored. A reset pulse in the opposite negative direction is applied, and the cycle continues.

Fabrication steps of Te-based OTS devices

Fig. 4 Threshold voltage shift in positive branch.

Fabrication steps of Te-based OTS devices

Fig. 5 Scheme for application of NSiTe device.

3.2. Impact of Pulse Rise and Fall Time on Vth Shift

To explore the different responses of the device to different stimuli, the rise and fall time of pulse applied was first varied into 1, 2, 4, and 8microseconds. However, the input voltage values showed a distinct kink that represents an overshoot due to sudden surge of uncontrolled signal when the switching takes place. This kink hinders accurate reading of the threshold voltage and represented the wearing of the device due to the stress applied by the sudden increase in current. To eliminate this kink and mitigate the stress on the device, an external resistor of 330 ohms was added to the device.

With the external resistor fixed at 330 ohms, the rise and fall time of the applied pulse was again varied. Fig. 6 shows the change in the magnitude of the threshold voltage shift in the positive and negative branches as the pulse rise and fall time is varied. In both the positive and negative branch, the magnitude of the threshold voltage shift decreases as pulse rise and fall time increases. Therefore, to increase the RWM, shorter pulse rise and fall time should be chosen.

Fabrication steps of Te-based OTS devices

Fig. 6 Change in magnitude of threshold voltage shift.

It should be noted that there were no significant SOM characteristics exhibited by the device when a pulse time of nanoseconds was applied. It was at the microsecond regime in which the device began to show SOM characteristics. Therefore, a shorter pulse time in the microsecond regime should be chosen to optimize for SOM performance. The disparity between nanosecond regime and microsecond regime suggests that sufficient time is needed for a physical change to take place within the device. Perhaps ion migration, with their masses greater than mass of electrons, may be responsible for the longer pulse time required to observe SOM characteristics.

To observe why longer pulse rise and fall time leads to a decrease in the threshold voltage shift, the change in temperature from the different pulse times were compared to observe the effect of Joule heating. Using the applied voltage and current, power could be retrieved by Equation (4).

$$ P=VI $$

The power could be used to retrieve energy applied to the device by Equation (5).

$$ E = \int P\,dt $$

Since the specific heat capacity of the device is not known, proportionality Equation (6) of energy to the change in temperature is used.

$$ E \propto \Delta T $$

From these equations, the ratio of the change in temperatures for the pulse rise and fall time of \(1\ \mu s:2\ \mu s:4\ \mu s:8\ \mu s\) is \(62K:91K:236K:468K\), indicating that an increase in pulse rise and fall time leads to an increase in Joule heating effect. This increase in Joule heating may facilitate atomic migration [16], decreasing the threshold voltage and thereby decreasing the scope for change in the threshold voltage, which is measured as the change in the threshold voltage. Ravsher et al. noted that Joule heating in the high operating current regime may confirm the presence of atomic segregation [16], and the NSiTe device operating in the similar high operating current regime (»4 mA) seems to follow this previous study’s observation.

The extent of the change in threshold voltage can be further analyzed by observing percent changes from 1 to 2microseconds, 2 to 4microseconds, and 4 to 8microseconds. The percent change of threshold voltage shift and the percent change in temperature change can be compared to determine whether the changes parallel each other. As pulse time increased, the percent changes in change in temperature were 46.77%, 159.34%, and 98.31%. The percent change in the threshold voltage shifts in positive and negative branches were -40.01%, -0.97%, and -20.82%, and -25.35%, -15.11%, and -12.77%, respectively. The extent of temperature increase seems to generally increase as pulse time increases, but the extent of threshold voltage shift decreases. Assuming ion migration, as the rate of temperature change increases, the rate of threshold voltage shift should increase, but this is not the case as shown in percent changes. This may be due to the ion aggregation over same subsequent polarity pulses that exerts force on other ions in the opposite direction, making it more difficult for ions to migrate to conduct current. Hence, these aggregated ions may partially counteract the decrease in the threshold voltage, which is exhibited by the decreasing rate of threshold voltage shift. By applying the opposite reset pulse, the aggregated ions may return to their original locations either partially or completely, allowing the device to go through the cycle again.

3.3. Impact of External Resistor on Vth Shift

While varying the external resistor to eliminate the kink, differences in the threshold voltage shifts were observed. To explore more on the effect of external resistors on the polarity effect, various resistors that range from 110 ohms to 680 ohms were applied and measured. As shown in Fig. 7 (listed as Fig. 8 in text), the magnitude of threshold voltage shift in both the positive and negative branches increase as the resistance of the applied external resistor increases. Therefore, the application of an external resistor with higher resistance seems to be a better selection to achieve a greater RWM.

Fabrication steps of Te-based OTS devices

Fig. 7 Change in threshold voltage shift vs external resistor.

This disparity in the magnitude of the threshold voltage shift may also be explained by Joule heating effect. Joule heating is generated due to large current passing through the device as stated by Ravsher et al. [16]. The current that flows through the device with 680 ohms resistor (»2 mA) is still within the high operating current regime [16], indicating that Joule heating may still be sufficient to assist ion migration. Using the same set of Equations (4), (5), and (6), the ratio of the change in temperature for the external resistor of 110W: 330W:680W is 145K:91K:53K, indicating that an increase in resistance of the external resistor leads to a decrease in Joule heating effect. This decrease in Joule heating may decrease the extent of heat-assisted ion migration, increasing the threshold voltage. As the threshold voltage increases, the scope for change in the threshold voltage increases.

3.4 Future Works

To fully utilize the OTS devices for SOM applications, the threshold voltage must return to the initial threshold voltage after a full cycle (PNN or NPP sequence). The focus then shifts from increasing the RWM to stabilizing the threshold voltage value after applying the same sequence numerous times. Instead of utilizing write and read voltage solely to write and read, additional pulses may be applied after reading and before resetting the device (i.e., instead of PNNPNN, apply PNN…NPNN…N) may further optimize the stability of the set threshold voltage for SOM applications.

4. Conclusion

This study delves into the effects of pulse rise and fall time and external resistance on the shift in threshold voltage in NSiTe ovonic threshold switch (OTS) device. It highlights their significance for enhancing the read window margin (RWM) in selector-only memory (SOM) applications. The experimental results present a clear trend: decreasing pulse time leads to a greater threshold voltage shift, and increasing resistance of the external resistor leads to a more pronounced shift. Several factors including controlled current flow and resulting Joule heating effect are proposed as responsible for these shifting behaviors.

The findings highlight the crucial role of pulse time and external resistors in increasing RWM to improve the distinction between binary states and reducing error rates in memory operations. This research contributes insights into the optimization of OTS-based memory systems, paving the way for more robust yet simplified SOM solutions.

Future works should focus on further increasing the threshold voltage shift and stabilizing the set threshold voltage after repetitive cycle of set and reset pulses for practical use of SOM devices. Moreover, investigating long-term reliability and endurance of these devices will be essential for their practical implementation as SOM devices.

5. References
  • Zhu, Min & Ren, Kun & Song, Zhitang. (2019). Ovonic threshold switching selectors for three-dimensional stackable phase-change memory. MRS Bulletin. 44. 715-720.
  • Wang, Zhongrui et al. (2020). Resistive switching materials for information processing. Nature Reviews Materials. 5. 1-23.
  • Waser, Rainer & AONO, MASAKAZU. (2009). Nanoionics-based resistive switching memories.
  • Lee, Myoung-Jae et al. (2011). A Fast, High-Endurance and Scalable Non-Volatile Memory Device Made from Asymmetric Ta2O5−X/TaO2−X Bilayer Structures. Nature materials.
  • Yang, Jianhua Joshua et al. (2010). High switching endurance in TaOx memristive devices. Applied Physics Letters. 97. 232102.
  • Miao, Feng et al. (2011). Anatomy of a Nanoscale Conduction Channel Reveals the Mechanism of a High-Performance Memristor. Advanced materials. 23. 5633-40.
  • Lai, S. (2009). Non-Volatile memory technologies: The quest for ever lower cost. IEDM Tech. Dig. 1 - 6.
  • Burr, Geoffrey et al. (2014). Access devices for 3D crosspoint memory. Journal of vacuum science & technology B. 32. 040802.
  • Park, Chaebin. (2023). Toward Scalable and Sustainable Selector: Ovonic Threshold Switching N-Si-Ge-Te Chalcogenide Selector for 3D Crossbar Neuromorphic Applications [Master’s thesis]. Yonsei University.
  • Lee, Jangseop et al. (2023). Enhancing Se-based Selector-only Memory with Ultra-fast Write Speed (~ 10 ns)...
  • Hong, Seokman et al. (2022). Extremely high performance, high density 20nm self-selecting cross-point memory...
  • Ban, Sanghyun et al. (2020). Pulse Dependent Threshold Voltage Variation of the Ovonic Threshold Switch...
  • Ravsher, Taras et al. (2021). Polarity-dependent threshold voltage shift in ovonic threshold switches...
  • Chai, Zheng et al. (2019). Dependence of switching probability on operation conditions in GexSe1-x...
  • Ravsher, Taras et al. (2023). Self-Rectifying Memory Cell Based on SiGeAsSe Ovonic Threshold Switch...
  • Ravsher, Taras et al. (2023). Polarity‐Induced Threshold Voltage Shift in Ovonic Threshold Switching...
  • Hamilton, Steven. (2004). Review of selenium toxicity in the aquatic food chain. The Science of the Total Environment. 326. 1-31.
Mathematical Modeling

Kinematics of a Bus: Deriving Safety Margins

Deriving the underlying geometry of a 12m bus lane change.

Context: While serving as a heavy-vehicle operator, I realized standard safety manuals provided rules but not reasons. I used downtime to derive the geometry of a 12-meter bus lane change to mathematically verify safety margins.
I. Minimum Clearance for Lane Change

Q: What is the minimum distance to the vehicle in front to avoid scraping during a full-lock lane change?

Parameters
  • Rigid 12m city bus (Single-lane lateral shift)
  • Wheelbase (L) = 6.0 m
  • Max steering angle (θ) = 40°
  • Lane width (w) = 3.50 m
Calculations

Turning Radius (R):

R = L / tan(θ) = 7.15 m

Forward Advance (x):

φ = arccos(1 - w/R) ≈ 59.3°
x = R sin(φ) ≈ 6.15 m

Result: Adding a 0.5m safety pad, the minimum gap is 6.5 - 7.0 meters. If the driver waits until the rear bumper of the car ahead is 7m clear, the nose will not overlap.

Bus Clearance Diagram

Figure 1: Clearance geometry analysis.

II. The S-Curve Maneuver

Q: How far must the bus run straight before counter-steering to center in Lane 2?

Three-Phase Logic
  1. Full-Left Lock: Enter Lane 2.
  2. Straight Segment (S): Slide diagonally holding heading +φ.
  3. Full-Right Lock: Cancel heading to finish centered.

Total Lateral Shift Equation:

yfinal = R(1 - cosφ) + S sinφ + R sin²φ - R(1 - cosφ)cosφ = wlane

Solving for Straight Segment (S):

S = (wlane - R(1 - cosφ)² - R sin²φ) / sinφ

Result: For a half-width shift (1.25m), the bus must roll straight (yawed 34°) for approximately 1.8 meters before counter-steering.

Bus Clearance Diagram

Figure 1: Clearance geometry analysis.

Theoretical Physics

Derivations in Quantum Mechanics

Original handwritten derivations: Complex Analysis to Multi-Qubit Systems.

View PDF
History & Theory

Quantum Einstein, Bohr, and the Great Debate

Notes on the history of the quantum revolution & mathematical derivations.

I. The Discovery of the Nucleus
  • Rontgen (1895): Discovered X-rays ("I did not think; I investigated").
  • Becquerel & Curie: Discovered radioactivity; realized it was an atomic phenomenon.
  • Rutherford's Gold Foil: Alpha particles fired at gold foil. Most passed through, but some bounced back. Conclusion: Atoms have a tiny, dense, positive nucleus.
II. The Quantum Atom (Bohr)

Problem: Classical physics says orbiting electrons should radiate energy and crash into the nucleus.

Bohr's Solution: "Stationary States." Electrons only occupy orbits where angular momentum is quantized.

Technical Note: Deriving Hydrogen Energy Levels

1. Quantization Condition:

L = mevr = nℏ

2. Centripetal Force = Coulomb Force:

mev2/r = e2 / (4πε0r2)

3. Solving for Energy (En):

En = -13.6 eV / n2

Result: Explains the discrete spectral lines (Lyman, Balmer) of Hydrogen.

III. Wave-Particle Duality
Arthur Compton (Particle Nature)

X-rays colliding with electrons lose energy (wavelength increases). Proves light behaves as a particle (photon).

Δλ = (h/mec)(1 - cosθ)
De Broglie (Wave Nature)

If waves act like particles, particles act like waves. Electrons form "standing waves" around the nucleus.

λ = h / p
IV. The Quantum Magicians
  • Heisenberg: Abandoned unobservable "orbits." Developed Matrix Mechanics based only on observable spectral frequencies.
  • Pauli: Exclusion Principle. Introduced "Spin" (4th quantum number) to explain the Zeeman effect (splitting of spectral lines in magnetic fields).
  • Schrödinger: Developed the Wave Equation (Ψ) to describe probability density.
  • Born's Postulate: The square of the wavefunction |Ψ|2 represents the probability of finding a particle.
Ref: Manjit Kumar, "Quantum" / © Jongpyo Hong 2025

Law & Policy

Resolving Gödel’s Constitutional Loophole

A proposal to safeguard the Amendment Process against self-destruction.

Read Full Essay +
Introduction

In 1947, the logician Kurt Gödel famously claimed to have found a loophole in the United States Constitution that could allow the nation to legally transform into a dictatorship. During his U.S. citizenship exam, Gödel told a judge that “this [dictatorship] could not happen in the U.S.” under the Constitution—and then insisted, “Oh, yes, I can prove it,” before being hastily cut off. This mysterious “Gödel’s Loophole” has since been called “one of the great unsolved problems of constitutional law.”

In essence, Gödel had identified a self-referential flaw: an “inner contradiction” in the Constitution’s own amendment rules. The Constitution’s Article V prescribes how it can be amended, but—as Gödel noted—those rules can be used on themselves, potentially undermining any limits to change. This paper examines the nature of Gödel’s loophole and proposes a resolution to safeguard the Constitution’s core principles from self-destructive amendments.

The Self-Amendment Paradox

Article V of the U.S. Constitution outlines a strict process for amendments (requiring supermajority approval by Congress and the states). Gödel’s insight was that Article V can be amended by its own procedure, allowing a downward spiral of ever-easier changes. In other words, one could legally amend Article V to loosen the requirements for future amendments, then amend it again even more easily, and so on. Ultimately, nothing in the text would stop a sufficiently determined majority from amending away core democratic safeguards—for example, granting all power to a dictator—entirely through legal means.

This is the crux of Gödel’s loophole: the Constitution permits amendments, and thus (absent further restriction) even permits amending the amendment process itself in a way that could negate the Constitution’s fundamental character.

“If legal rules that authorize change can be used to change themselves, then we have paradox and contradiction; but if they cannot be used to change themselves… then we have immutable rules.” — Peter Suber

In other words, either the amendment power is absolute—in which case a constitution can legally destroy its own foundations—or there are untouchable rules—which would contradict the ideal of complete popular sovereignty. This dilemma forces us to “give up either a central element of legal rationality or a central element of democratic theory.”

Proposed Resolution: Entrenching a Constitutional Core

To resolve Gödel’s loophole, we propose embracing one horn of the self-amendment dilemma: accept that some constitutional principles must be beyond the reach of Article V. In practice, this means identifying and entrenching a fundamental core of the Constitution that cannot be amended through the normal process—for example, the republican form of government, basic separation of powers, or guaranteed individual rights.

By placing certain foundational elements off-limits to amendment, we impose a logical limitation that blocks the worst-case self-destruction scenario. This approach sacrifices a bit of theoretical “omnipotence” of amendment power in favor of preserving the Constitution’s identity. Rather than viewing the amendment process as an all-powerful tool that can even abolish the system itself, it becomes a delegated power bound by a higher trust.

Notably, many modern constitutional democracies already employ this strategy. Some constitutions explicitly contain unamendable clauses (often called “eternity clauses”) that forbid certain changes. Even where such clauses are absent, courts in various countries have developed a “basic structure doctrine,” holding that there are implicit limits to amendment.

Discussion

Implementing an inviolable constitutional core in the U.S. would mark a significant shift, raising questions about enforcement and definition. Who decides what principles are unamendable? The most likely answer is the judiciary. Just as courts elsewhere have stepped in to void “unconstitutional constitutional amendments,” the U.S. Supreme Court could conceivably do the same if faced with, say, an amendment abolishing elections or the Congress.

Critics might object that this solution undermines pure popular sovereignty. However, the practical necessity of constitutional endurance justifies some constraints. Even the founders built in partial super-majority entrenchment. Thus, the Constitution already favors stability over facile change in crucial areas.

Conclusion

Gödel’s loophole highlights a profound theoretical tension at the heart of constitutional law—a tension between limitless adaptability and the preservation of core values. The resolution proposed here is to resolve that tension by formalizing limits on the amendment power. By entrenching the Constitution’s basic democratic structure against amendment, we choose the side of constitutional continuity over theoretical omnipotence.

By adopting a principle of constrained amendment, America can elegantly answer Gödel’s paradox—preserving both legal rationality and democratic integrity—and ensure that the only way to end the Constitution’s reign is by forsaking the rule of law entirely.

© Jongpyo Hong

Putative Causal Link Between Tylenol and Autism

A review of scientific evidence, regulatory frameworks, and Kenvue’s future liability.

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Background

Tylenol (acetaminophen) is used by more than half of pregnant women worldwide. Recent claims linking acetaminophen use in pregnancy to autism have prompted international debate and new lawsuits. This report reviews the scientific evidence and examines statutory and case-law frameworks relevant to future lawsuits against Kenvue.

Scientific Evidence

Observational Associations: Numerous cohort studies (e.g., Boston Birth Cohort) report associations between prolonged use and ASD/ADHD. However, these rely on self-reporting and struggle to control for confounders like maternal fever.

High-Quality Cohort Studies: Large population-based studies using sibling comparisons refute a causal link:

  • Swedish National Cohort (2024): 2.48 million children. After controlling for genetics/environment via sibling comparison, the hazard ratio for autism was 0.98 (no increased risk).
  • Norwegian & Japanese Cohorts: Similarly found no association after controlling for familial confounders.

Consensus: ACOG, WHO, and the FDA acknowledge associations in some data but state that causation is unproven. They continue to recommend acetaminophen as the safest option for pain/fever in pregnancy, noting that untreated fever poses greater risks to the fetus.

Regulatory Framework

FDA Position: OTC drugs like Tylenol are governed by the Monograph System. While the FDA has initiated a process to add a cautionary label regarding "possible association," they explicitly state that a causal relationship has not been established.

Preemption (Merck v. Albrecht): State failure-to-warn claims are preempted only if there is "clear evidence" the FDA would have rejected the proposed warning. Kenvue can argue that a warning asserting causation would be rejected by the FDA as false/misleading given the current scientific consensus.

Analysis of Liability

Causation Challenges: Plaintiffs face a steep uphill battle. Without reliable scientific evidence establishing causation (general causation), expert testimony is unlikely to survive Daubert scrutiny, as seen in the 2024 dismissal of 500+ cases in MDL 3043.

Strategic Defenses: Kenvue will likely leverage the FDA’s recent statements to bolster preemption arguments. While new "cautionary" labeling might be mandated, liability for past "failure to warn" is mitigated by the lack of scientific consensus during the relevant periods.

Conclusion

Current scientific evidence does not support a causal link. While the legal landscape is shifting with new FDA labeling processes, the high bar for scientific causation in court protects manufacturers against claims based on correlation alone.

© Jongpyo Hong

Session: A Privacy and Security Haven

A comparative analysis of decentralized encryption vs. centralized vulnerability (Session vs. KakaoTalk).

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End-to-End Encryption

Session: Uses end-to-end encryption (E2EE) by default. Built on the Signal protocol (Double Ratchet), messages are encrypted on the device. Only the recipient can decrypt them.

KakaoTalk: Default chats are not E2EE; the server holds the keys (LOCO protocol). "Secret Chat" is optional and clumsy. Security researchers have found Kakao’s key exchange lacks robust authentication, leaving it vulnerable to Man-in-the-Middle (MITM) attacks if the server is compromised.

Metadata Protection

Session (Send messages, not metadata): Requires no phone number or email. Identity is a random 66-character public key. It uses onion-routing (3 hops) so no single node knows both your IP and your recipient.

KakaoTalk: Requires a valid phone number (linked to real ID in Korea). Servers log metadata: who talked to whom, when, and from which IP. This "social graph" is stored centrally.

Centralized vs. Decentralized

Session: Runs on the Oxen Service Node network—a decentralized layer of incentivized nodes. There is no central server to hack or shut down.

KakaoTalk: Centralized client/server model. All data flows through Kakao Corp’s data centers. A single point of failure (e.g., the 2022 fire) cripples the service, and a single warrant can expose user data.

Surveillance Resistance

Session’s design makes it resistant to government subpoenas because the developers literally do not have the data. Message content is not stored centrally, and metadata is obfuscated.

KakaoTalk, as a Korea-based centralized service, is legally obligated to comply with warrants. History has shown (e.g., 2014 surveillance scandal) that private chat records can and will be handed over.

Conclusion

Session prioritizes privacy through architecture: no central server, default E2EE, and onion routing. KakaoTalk prioritizes convenience but leaves users exposed to server-side breaches and state surveillance. For high-risk environments, Session is the only secure choice.

© Jongpyo Hong

Urban Mobility Crisis: Mitigating Infrastructure Saturation

Addressing Seoul's "Hell Trains" via smart policy and demand-responsive tech.

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The Commuter Nightmare

Commuters packed like sardines in a Seoul subway car reflect the severity of overcrowding. Media dubs these "hell trains," where riders sometimes faint due to lack of air. With over 4.6 million daily rides, lines like the Gimpo Gold Line hit 280% capacity—nearly three people per square meter.

This is a systemic issue driven by population growth (Gimpo's population doubled in a decade) and synchronized schedules: everyone moves at 8 AM. The result is a daily quality-of-life crisis for Seoul's youth and professionals.

Why Current Measures Fall Short

City authorities have added parallel buses (reducing subway load by only ~3.5%) and piloted "seatless" subway cars to increase standing room. While creative, these are band-aids. They address capacity slightly but fail to tackle the root cause: the peak-hour surge.

Proposed Tech-Based Solution
1. Real-Time Smart Routing

Use existing transit data to proactively alert commuters. A "smart commute" app could warn of crush capacity and suggest alternate multi-modal routes (bus + subway) that might take longer but guarantee a seat.

2. Demand-Responsive Shuttles

Utilize idle private/school buses as rush-hour shuttles. A city-backed dynamic routing system could match these shuttles to high-demand neighborhoods, offloading 10% of subway ridership.

3. Flexible Scheduling Policy

68% of young workers prefer flexible hours, yet only 15% have them. Incentivizing employers to stagger start times (7 AM, 9 AM, 10 AM) would systematically flatten the peak demand curve.

Conclusion

By combining real-time data, app-based mobility services, and flexible scheduling policy, Seoul can turn the tide on the "hell train." It is time to ensure the transit system is a shining example of technology serving the people, not a victim of its own success.

© Jongpyo Hong

Finance & Economics

Theoretical Frameworks

Quantitative Asset Pricing & Derivatives

From MPT to Black-Scholes: Mathematical foundations of risk and return.

I. Modern Portfolio Theory & CAPM

Core Concept: Diversification reduces unsystematic risk. The Efficient Frontier represents portfolios offering max return for a given risk level.

Portfolio Risk (Variance)

$$ \sigma_p^2 = \sum w_i^2\sigma_i^2 + \sum_{i \neq j} w_i w_j \sigma_i \sigma_j \rho_{ij} $$

CAPM Formula

$$ E(R_i) = R_f + \beta_i(E(R_m) - R_f) $$

Beta (β) measures systematic market risk.

II. Arbitrage Pricing & Factor Models

Moving beyond the single-factor market model to multi-factor explanations (Fama-French).

Fama-French 3-Factor Model:

$$ E(R_i) - R_f = \alpha + \beta_m(R_m - R_f) + \beta_s SMB + \beta_v HML $$

  • SMB: Small Minus Big (Size factor)
  • HML: High Minus Low (Value factor)
III. Continuous-Time Finance (Black-Scholes)

Using stochastic calculus (Ito's Lemma, Brownian Motion) to price derivatives.

Black-Scholes PDE

$$ \frac{\partial V}{\partial t} + rS\frac{\partial V}{\partial S} + \frac{1}{2}\sigma^2 S^2 \frac{\partial^2 V}{\partial S^2} - rV = 0 $$

Call Option Solution

$$ C(S,t) = S_t N(d_1) - K e^{-r(T-t)} N(d_2) $$

Macro-Prudential Analysis

Systemic Risk: US Subprime vs. Korean Housing Debt

A comparative study of the 2008 crisis mechanics and current risks in South Korea.

Housing Bubble and Key Structural Causes (1990s–2006)

In the years leading up to 2007, the United States experienced a dramatic housing boom fueled by easy credit and financial innovation. Home prices rose steadily from the mid-1990s through 2006, eventually forming a speculative housing price bubble. Several structural factors contributed to this bubble:

Expansion of Mortgage Credit

Lenders increasingly extended mortgages to subprime borrowers (those with poor credit or low income) who previously would not have qualified. Starting in the early 2000s, subprime lending grew exponentially, allowing many first-time or high-risk buyers to purchase homes. This expansion was both contributed to and facilitated by rising home prices—as home values climbed, lenders and borrowers grew confident that even risky loans could be refinanced or repaid via resale.

Securitization of Mortgages

Traditionally, banks held the mortgages they originated, but a “securitization” boom changed that model. Wall Street firms pooled thousands of home loans into mortgage-backed securities (MBS) and more complex collateralized debt obligations (CDOs), selling slices of these pools to investors around the globe. Crucially, credit rating agencies assigned high ratings (often AAA) to the senior tranches of these securities, believing various credit enhancements made them safe. This gave investors the impression that even subprime-based bonds carried minimal risk, which was a serious mispricing of reality.

Innovative but Risky Loan Products

To draw in more subprime borrowers, lenders created exotic mortgages—adjustable-rate mortgages (ARMs) with low teaser rates, loans requiring no down payment, and even “negative amortization” loans where the balance could increase. These loans often had payments that would spike after an initial period. They were only viable under the assumption that home prices would keep rising, letting borrowers refinance or sell before higher payments hit. By 2005–2006, many subprime ARMs were scheduled to reset at much higher interest rates by 2007, setting a time bomb of future defaults.

Deregulation and Lax Oversight

The period of the early 2000s also saw a permissive regulatory environment. Key safeguards from earlier decades were eroded—for example, the 1999 repeal of Glass-Steagall removed the separation between commercial banking and riskier investment banking, and a 2000 law left most over-the-counter derivatives (like credit default swaps) unregulated. In 2004, the SEC relaxed capital rules for major investment banks, allowing them to leverage up far more (ratios of 30:1 or higher vs. the old 12:1 limit). These changes enabled financial institutions to take on greater debt and concentrate more risk, with little government scrutiny. Regulators largely turned a “blind eye” to the mounting excesses during the boom.

Easy monetary policy amplified these trends. After the tech bust and 9/11, the Federal Reserve under Alan Greenspan slashed interest rates from about 6.5% in 2000 down to just 1% by 2003. Cheap credit made mortgages more affordable, encouraging a surge in home buying and refinancing. By mid-decade, home ownership rates hit a record ~69%. The abundance of low-interest loans, including to subprime borrowers, bid up housing demand and prices beyond fundamental values. This price appreciation created a self-reinforcing optimism: buyers, lenders, and investors assumed housing prices “would continue to rise” indefinitely. In reality, by 2006 the market was overheated and ripe for reversal.

Unraveling of the Subprime Crisis (2006–2008)

Home prices peaked in many U.S. markets in 2006, and by 2007 the housing bubble burst. Demand cooled and unsold inventory grew, causing nationwide prices to decline for the first time in years. As early as February 2007, the downturn had become stark: 2007 saw the largest single-year drop in U.S. home sales in decades. In response, subprime mortgage companies began imploding. Over 25 subprime lenders filed for bankruptcy in February–March 2007 alone. A notable casualty was New Century Financial, once the nation’s #2 subprime lender, which filed bankruptcy in April 2007. The demise of these lenders signaled that loans they originated were failing soon after origination—an alarming indicator of systemic trouble.

Mortgage defaults and foreclosures surged in 2007 as teaser rates on ARMs reset upward and homeowners found they couldn’t refinance in a falling market. Investors who had bought subprime MBS and CDOs now faced the reality that these securities were far riskier than advertised. In July 2007, two hedge funds managed by Bear Stearns (which had heavily invested in subprime securities) collapsed, erasing virtually all investor capital. This was one of the first clear signs that the crisis was spreading beyond mortgage lenders to the broader financial system. By August 2007, the panic went international—for example, France’s BNP Paribas froze withdrawals from funds citing “no liquidity” in U.S. mortgage markets. Global banks disclosed large subprime exposures, and credit markets seized up as institutions grew fearful of hidden losses. Central banks, including the U.S. Federal Reserve and European Central Bank, coordinated emergency liquidity injections to keep inter-bank lending alive.

Facing a deepening credit crunch, the Federal Reserve pivoted from raising to cutting interest rates in late 2007. Starting in September 2007, the Fed slashed the federal funds rate from 5.25% toward virtually 0% over the next year. These moves aimed to stabilize credit markets and the economy. Initially, stock markets remained buoyant—the Dow Jones index even hit a record above 14,000 in October 2007 —but this optimism was short-lived. By late 2007, major American banks and Wall Street firms began reporting huge losses on mortgage-related assets. Write-downs ran into the tens of billions at firms like Citigroup, Merrill Lynch, and others, forcing leadership changes and emergency capital raises.

The crisis entered a more acute phase in 2008, threatening the core of the financial system:

  • In March 2008, investment bank Bear Stearns teetered on the verge of default when creditors lost confidence. The Fed intervened to facilitate a fire-sale takeover of Bear Stearns by JPMorgan Chase (backed by $30 billion in Fed guarantees). Bear’s collapse (at $2 a share, down from $170 a year prior) sent shockwaves across Wall Street.
  • In July 2008, regulators also seized IndyMac Bank, one of the largest mortgage lenders, after a run by depositors. Around the same time, the government placed the mortgage giants Fannie Mae and Freddie Mac into conservatorship (September 7, 2008). These government-sponsored enterprises had suffered massive losses on both subprime MBS and traditional loans, and their failure would have been catastrophic. The federal takeover was “Washington’s most dramatic intervention” to date.
  • The crisis climaxed in September 2008. On September 15, Lehman Brothers—a 158-year-old investment bank—filed the largest bankruptcy in U.S. history after failing to find a rescuer. The government’s refusal to bail out Lehman (amid concerns about “moral hazard”) proved calamitous. The very next day, insurance titan AIG (American International Group) collapsed under the weight of subprime credit default swaps it had written. Fearing that AIG’s failure could trigger a chain reaction, the Fed stepped in on September 16 with an $85 billion emergency loan to save AIG. By this point, global financial markets were in free fall—lending had frozen, and stock indices plummeted by over 50% from their peaks.

In response to the chaos, U.S. authorities launched unprecedented rescue efforts. On September 19, 2008, Treasury Secretary Hank Paulson unveiled the Troubled Asset Relief Program (TARP), a $700 billion plan to inject capital into banks and purchase “toxic” assets. After intense debate, Congress passed the emergency bailout in early October 2008. The U.S. government (and Federal Reserve) ultimately backstopped the financial system through capital infusions, debt guarantees, and liquidity programs. These actions helped stem the panic: credit markets gradually thawed, and stocks found a bottom by March 2009.

The damage, however, was profound. By 2009 the U.S. was in the deepest recession since the Great Depression, dubbed the Great Recession. Unemployment hit 10%, some 3.8 million Americans lost their homes to foreclosure, and household wealth fell trillions of dollars. The housing market downturn and associated credit crisis had ripple effects that slashed construction activity, dried up consumer spending, and crippled lending—reinforcing the economic downturn. The events of 2007–2008 revealed fundamental weaknesses in the financial system and set the stage for major regulatory reforms (such as the 2010 Dodd-Frank Act) in hopes of preventing a similar meltdown.

Underlying Economic Mechanisms Leading to the Crisis

While the chronology above describes what happened, it is crucial to understand why it happened. Several economic mechanisms and policy failures underpinned the subprime crisis:

Mispricing of Risk and Rating Failures

In the run-up to the crisis, investors dramatically underestimated the true risk of mortgage-related assets. A chief culprit was the flawed system of credit ratings. Agencies like Moody’s and S&P gave inflated ratings to complex CDOs and MBS, often declaring risky subprime loan pools to be as safe as U.S. Treasuries. This occurred partly because of conflicts of interest—rating agencies were paid by the issuers of securities, giving them incentive to please clients with higher ratings. When housing prices were rising, default rates stayed low, masking the risk. But once the market turned, mass downgrades of mortgage securities in 2007 caught investors by surprise . Suddenly, bonds thought to be ultra-safe faced huge losses. This mispricing of risk extended to financial institutions’ models as well—many banks and insurers relied on historical data from prime mortgages, failing to recognize that subprime loans in a nationwide downturn were a different beast. In short, risk was “off the radar screen,” and both investors and regulators were blind to the true fragility of the system.

Ultra-Low Interest Rates and Excess Liquidity

Monetary policy in the early 2000s helped create an environment ripe for a credit bubble. The Federal Reserve’s “easy money” stance—holding rates well below historical norms—encouraged banks and investors to “reach for yield” by taking on more risk. Research indicates that if the Fed had followed a more normal interest rate policy (e.g. the Taylor Rule), the housing boom would likely have been far less dramatic. Instead, cheap credit flooded the system. Mortgage rates dropped to enticing levels, and global investors (flush with savings from emerging markets and oil exporters) eagerly lent into U.S. debt markets. This global savings glut kept long-term interest rates low and funneled vast capital into mortgage securities. Easy credit not only boosted housing demand but also squeezed lending margins, prompting financial firms to seek profits in riskier loans and securities to compensate. Thus, loose monetary conditions directly contributed to inflated home prices and high leverage.

Deregulation and Regulatory Gaps

Key regulatory shortcomings allowed risks to build unchecked. The shadow banking system—investment banks, off-balance-sheet vehicles, money market funds, etc.—grew to rival the traditional banking sector but without the same oversight or capital requirements. Investment banks, for example, successfully lobbied for lower capital requirements (the 2004 SEC rule change) and then operated with razor-thin equity cushions. Similarly, OTC derivatives like credit default swaps (CDS) were explicitly exempted from regulation in 2000. Institutions like AIG Financial Products sold huge quantities of CDS protection on MBS/CDOs—essentially acting like an insurance company—but faced no insurance regulatory regime or reserve requirements. When the bonds faltered, AIG could not fulfill collateral calls, nearly collapsing the system. Another gap was in mortgage origination: brokers and lenders had weak underwriting standards but no long-term stake in the loans (since they sold them). Traditional bank regulators did not adequately police the lending spree in nonbank mortgage companies. Overall, fragmented and permissive oversight (across the Fed, SEC, bank regulators, etc.) failed to constrain excessive risk-taking and leverage in both the regular banking sector and the shadow system.

Incentive Problems (“Originate-to-Distribute”)

A fundamental structural cause was the misalignment of incentives across the mortgage finance chain. Mortgage brokers and lenders were often paid based on loan volume, not loan quality. They could pass off loans to Wall Street via securitization, so they had little “skin in the game.” This led to deteriorating lending standards—the proliferation of so-called liar loans (no-documentation loans), loans to unqualified borrowers, and even fraudulent practices. As Michael Burry observed in 2005, lenders kept “degrading their own standards to grow loan volumes,” knowing they could offload the risk to investors. On the other end, investment banks structuring CDOs also faced perverse incentives: they earned fees upfront for packaging and selling these products, so they were motivated to keep the machine going, even if that meant stuffing CDOs with poor collateral. Rating agencies too were incentivized to give benign ratings to keep business. All these actors earned short-term profits while ultimately dumping long-term credit risk onto investors—who often underestimated that risk.

Excess Leverage and Short-Term Funding

By 2007, many financial institutions had become dangerously leveraged. Major investment banks were funding themselves with enormous amounts of short-term debt (like overnight repurchase agreements) to hold long-term, illiquid mortgage assets. Some banks also used off-balance-sheet Structured Investment Vehicles (SIVs) that borrowed short-term commercial paper to buy mortgages, attempting regulatory arbitrage. This heavy reliance on short-term funding made the system prone to a classic bank-run dynamic: when mortgage asset values fell, lenders quickly refused to roll over short-term loans, forcing fire sales. This dynamic played out in mid-2007 and again violently after Lehman’s failure, when trust in counterparties evaporated. Highly leveraged firms had no margin for error—small declines in asset values could wipe out their equity. In contrast, institutions that maintained more moderate leverage or had more stable funding fared better. (For example, JPMorgan Chase’s relatively cautious risk posture helped it avoid the worst of the subprime debacle .) The crisis underscored that excessive leverage is a key amplifier of financial instability.

In summary, a combination of easy credit, a speculative mania in housing, flawed financial engineering, and regulatory negligence set the stage for disaster. When home prices stopped rising, the entire edifice—built on optimistic assumptions and tightly wound leverage—came crashing down. Risk had been grossly underpriced and undercapitalized. As Chairman Ben Bernanke later described, vulnerabilities in the system (high leverage, poor underwriting, opaque derivatives) served to “propagate and amplify the initial shocks” from subprime trigger events. The result was not just a housing market correction, but a full-blown financial crisis.

Defensive Strategies During the Crisis

Investors and institutions that anticipated the crisis or reacted quickly were able to limit their losses (and in some cases profit) by shifting to defensive positions. Some of the general strategies employed included:

Moving into Cash and Safe Assets

A straightforward way to avoid losses in a market crash is to sell risky investments and hold cash or cash-like instruments. During 2007–2008, a number of savvy investors reduced their exposure to equities and risky bonds, choosing instead to hold cash or ultra-safe U.S. Treasury securities. Cash doesn’t depreciate when asset prices fall, and Treasuries actually tend to rise in price during panics as they are seen as havens. In fact, investors worldwide flocked to the safety of U.S. government bonds—yields on the 10-year Treasury fell sharply as bond prices rose. Gold, a traditional safe-haven commodity, also saw a surge in demand. From 2007 to 2011, gold prices nearly tripled as investors sought a store of value uncorrelated with the banking system. These moves protected wealth while most other assets (stocks, real estate, corporate bonds) were plunging in value.

Hedging or Shorting the Market

Some institutions didn’t just flee risky assets—they actively bet against them. One strategy was buying credit default swaps (CDS) as insurance against mortgage bond defaults. When the bonds collapsed, the CDS payouts generated huge profits (as discussed in case studies below). Others purchased put options on financial stocks or short-sold indices tied to housing. A notable example was Goldman Sachs, which in 2007 quietly adjusted its trading book to be net short on subprime mortgage instruments. By doing so, Goldman hedged its exposure and even made money during the mortgage meltdown, unlike many of its peers. In testimony and reports, Goldman executives noted they “effectively limited [the firm’s] exposure to U.S. subprime mortgages…in 2007. In doing so, it avoided [large losses].” This type of strategic hedging or outright short position was complex to execute but proved very lucrative for those who timed it right.

Reducing Leverage and Conserving Capital

As the crisis signs grew, the most prudent institutions deleveraged—they paid down debt, sold off marginal investments, and raised capital buffers. Lower leverage meant a larger cushion to absorb asset write-downs. For example, some hedge fund managers who foresaw trouble made sure not to use margin loans that could force them to liquidate holdings at the worst time. Avoiding high leverage was also a reason JP Morgan Chase entered the crisis relatively safely; under CEO Jamie Dimon, JPMorgan had tightened lending standards and kept more capital, enabling it to weather losses (and even acquire Bear Stearns and Washington Mutual on the cheap). On the individual level, some investors shifted their portfolios to defensive, low-debt companies or moved money into insured bank accounts and money market funds (though even money market funds briefly broke the buck after Lehman’s fall, showing no venue was completely risk-free).

Diversification and Global Assets

Another strategy was to diversify away from U.S. housing-related assets entirely. Investors who maintained broad global portfolios—or who held uncorrelated assets (like foreign currencies or commodities)—fared better than those concentrated in U.S. real estate or financial stocks. Certain foreign markets were less directly affected initially, and commodities like oil and gold had periods of strong performance. While the crisis eventually became global, a well-diversified portfolio still helped blunt the impact. For instance, holding some percentage of gold, defensive stocks, or foreign bonds provided offsets to losses elsewhere.

It’s important to note that even with good strategy, the timing was crucial. Many who took refuge in cash or shorts too early felt pain as the bubble kept inflating through 2006. Conversely, those who waited too long found it hard to sell assets once markets were in freefall. The general lesson, however, is that those who recognized the mounting risks—excessive housing prices, overleveraged banks, dubious loan quality—and took precautionary steps were able to avoid the worst of the wealth destruction. In the next section, we highlight a few specific investors who famously predicted the crisis and implemented successful strategies to profit from it.

Case Studies: Investors Who Predicted or Profited from the Crisis

Certain prescient individuals saw the writing on the wall before 2007 and made moves to profit from the subprime crash. Two of the most well-known are Dr. Michael Burry and John Paulson, each of whom managed funds that earned fortunes by betting against the U.S. housing market. Their experiences illustrate what indicators they noticed, the actions they took, and the outcomes they achieved.

Michael Burry (Scion Capital)

Michael Burry was a relatively unknown hedge fund manager who ran Scion Capital, but he became one of the first and most vocal prophets of the subprime crisis. Burry’s background in value investing and obsessive financial research led him to investigate mortgage lending trends in 2003–2004. Through painstaking analysis, he noticed that home prices were rising far faster than incomes, and that lenders were making increasingly risky loans with “teaser” interest rates. He dug into mortgage bond prospectuses and saw that many subprime loans originated in 2005 were scheduled to have major payment shocks in 2007 when their low introductory rates reset higher. To Burry, the conclusion was clear: a wave of defaults would hit in a couple of years, and securities backed by those mortgages would plummet in value.

Starting in 2005, Burry formulated a bold plan to short the subprime mortgage market—something that was not easy to do at the time. He had to persuade Wall Street firms to create new credit default swaps on subprime mortgage bonds, which were essentially insurance contracts paying off if those mortgage bonds failed. Burry specifically targeted the worst-quality subprime pools (those loaded with loans to the most dubious borrowers and with looming rate resets). He went to Goldman Sachs, Deutsche Bank, and others to buy CDS protection on hundreds of millions of dollars of subprime MBS. In essence, Scion Capital would pay a quarterly premium to the swap seller; if the underlying mortgage bonds defaulted, Scion would receive a large payout. Burry’s downside was limited to the premiums paid, but his upside—if the bonds collapsed—was enormous, an asymmetric bet he likened to “30- or 40-to-1” odds in his favor.

Initially, Burry’s bet seemed early and even crazy to many. In 2005 and 2006, the housing market was still booming and his investors grew frustrated paying premiums while the CDS hadn’t paid off yet. Some of Scion’s clients demanded to withdraw money, doubting Burry’s thesis. Burry stuck to his convictions, even implementing gates to prevent capital flight so he wouldn’t have to unwind his swaps prematurely. His conviction proved right on the money. As 2007 unfolded and subprime defaults skyrocketed, the very mortgage bonds Burry had bet against imploded in price. The credit default swaps soared in value, and Burry began selling his swap positions for massive profits mid-2007. In the end, Scion Capital’s bet netted over $700 million for his investors, and about $100 million in personal profit for Burry himself. This spectacular success (a return of roughly 489% for 2007 on his subprime positions) validated his analysis. Burry later noted that any diligent study of the data by 2003–2005 could have revealed the looming disaster, but most regulators and market participants simply didn’t want to believe it.

John Paulson (Paulson & Co.)

Another legendary winner from the crisis was John Paulson, a New York hedge fund manager who orchestrated what has been called “the greatest trade ever.” Paulson did not have a background in mortgages—he was known for merger arbitrage—but by early 2006 he grew suspicious that the housing boom was an unsustainable bubble. Along with his analyst Paolo Pellegrini, Paulson studied historical housing data and the surge in subprime lending. They observed that home prices were deviating far from fundamentals and that a huge number of recent mortgages would likely default if housing even stopped appreciating. Convicted of an oncoming crash, Paulson set up a dedicated Paulson Credit Opportunities Fund in 2006 to short the subprime market using credit default swaps.

Paulson’s strategy was similar in concept to Burry’s but on an even larger scale. He worked with banks (like Goldman Sachs, in the later-controversial ABACUS deals) to create synthetic CDOs where his fund took the short side. By buying CDS on mortgage bonds and CDO tranches, Paulson’s fund would profit as those assets lost value. The key indicators Paulson followed were, again, soaring housing prices disconnected from incomes, the prevalence of “NINJA” loans (no income, no job, no assets), and early signs in 2006 that housing prices had begun to dip in some markets. He famously remarked that he’d never before seen a trade with so much upside and so little downside—by paying a premium (a few percent per year of the insured amount), he could potentially make ten or even twenty times his money if the bonds collapsed.

The outcome for Paulson was staggering. When the subprime market unraveled in 2007, Paulson & Co. made an estimated $15 billion in profits from its short positions. Paulson personally earned nearly $4 billion in 2007—the biggest one-year payday in hedge fund history at that time. One of Paulson’s funds reportedly returned an almost 590% gain in 2007. Such gains were almost unheard of, but they reflected how mispriced the subprime risk had been and how effectively Paulson had capitalized on it. Interestingly, many on Wall Street had inklings that the mortgage market was unstable (there were analysts and traders voicing concerns), but Paulson distinguished himself by the sheer conviction and scale of his bet. As one observer noted, “He saw what many of us suspected, but had the courage of his convictions to put his money on it.” Paulson’s trade, however, did attract controversy—while he profited from the pain of homeowners and investors on the other side, he later faced questions about whether creating swaps to bet against CDOs (while others were unaware of his role) was ethical. Regardless, from a financial standpoint, his foresight and execution were undeniably successful.

Other Notable Examples

Burry and Paulson were not entirely alone. A handful of other investors and firms also predicted the crisis or took steps to protect themselves:

  • Steve Eisman of FrontPoint Partners (profiled in Michael Lewis’s The Big Short alongside Burry) investigated mortgage companies and was horrified by the lax lending. He shorted subprime CDOs and the stocks of lenders like Lehman Brothers, reaping large gains when they collapsed.
  • Kyle Bass of Hayman Capital in Texas similarly bought CDS on subprime bonds early, after studying the housing bubble data. His fund’s bet reportedly turned $30 million in premiums into roughly $500 million profit.
  • Goldman Sachs’ risk managers (like Chief Financial Officer David Viniar and others) noticed the firm’s mortgage positions losing value in 2007 and made the controversial decision to “get closer to home”—i.e. reduce net long exposure and add shorts. This aggressive pivot meant Goldman ended 2007 with relatively minimal mortgage losses, unlike competitors that stuck with their bullish bets. Goldman’s CEO later testified that these hedges were crucial to the firm’s survival.
  • A few contrarian financial analysts warned about looming bank losses—for example, analyst Meredith Whitney in late 2007 predicted major write-downs for Citigroup and was proven right as Citi nearly failed in 2008. Some large investors, heeding such warnings, rotated out of bank stocks in time.

On the whole, however, these individuals were the exception. The fact that their stories are so noteworthy underscores that most market participants did not see the crisis coming or were unwilling to act on it. Those who did were richly rewarded or at least spared catastrophic losses. They paid attention to indicators like surging default rates in mid-2006, frothy housing price-to-rent ratios, and the deteriorating quality of loan underwriting. By taking decisive (and often contrarian) action—whether shorting via derivatives, moving to cash, or hedging exposures—they navigated one of the worst financial storms in history and came out ahead.

Conclusion

In retrospect, the 2007 U.S. subprime mortgage crisis was the product of multiple interlocking factors: an unprecedented housing bubble, a breakdown in lending discipline, complex financial products that obscured risk, excessive borrowing by institutions and households, and policy lapses that failed to restrain the excesses. The crisis unfolded in a clear chronology—a frenzied boom in the early 2000s, initial cracks in 2007, and a cascading financial panic in 2008 that nearly toppled the global banking system. Understanding this sequence and the structural causes is critical for finance students and policymakers alike. The economic mechanisms at play—from mispriced credit risk to the vicious cycle of deleveraging—illustrate how vulnerabilities can build during good times and then accelerate a downturn when confidence falters.

Crucially, the crisis also offers lessons in risk management. Some individuals and institutions managed to avoid the worst outcomes by recognizing danger signals and adopting defensive strategies (such as shifting to safe assets or profiting from short positions). Their stories, particularly those of Michael Burry and John Paulson, demonstrate the value of independent analysis and contrarian thinking in the face of widespread complacency.

While this report has focused on the U.S. economy, the implications were global—many other countries felt the shockwaves of America’s subprime collapse. By examining the U.S. case in detail, one can draw parallels and warning signs relevant to other markets (including Korea’s, as the reader intends). Ultimately, the 2007–2010 crisis led to reforms and a more cautious outlook on housing finance, but the memory of how quickly things fell apart serves as a potent reminder: sound credit practices and vigilant oversight are vital for financial stability.


Will South Korea Face a Subprime-Style Mortgage Crisis?

Seoul’s skyline, featuring high-rise apartment complexes and the Lotte World Tower, reflects a real estate boom fueled by heavy borrowing. South Korea’s real estate market has seen surging household debt as buyers take out huge loans to bid up housing. This raises the pressing question: Could Korea be headed for a housing bust similar to the 2008 U.S. subprime mortgage crisis? To answer this, we should compare key risk indicators in Korea today with those preceding the subprime crisis—such as household debt ratios, loan-to-value levels, and bank liquidity—and explore possible scenarios. Below is an in-depth analysis of these factors, followed by potential outcomes and personal strategies to mitigate risk.

Key Risk Indicators in South Korea’s Housing Market
Household Debt-to-Income (and GDP) Ratio

South Korean households are highly leveraged. At the end of 2024, total household debt reached ₩1,927.3 trillion (about $1.34 trillion). This equals roughly 174.7% of disposable income for Korean households (including non-profit organizations)—in other words, debt is 1.75 times annual after-tax income on average. By comparison, during the U.S. subprime boom in 2007, American household debt peaked at about 128% of disposable income. Korea’s debt load is also extremely high relative to its economy: 91–93% of GDP in late 2024, the second-highest among major countries (only Canada is higher). Such high leverage means Korean families are more vulnerable to income shocks or interest rate rises than U.S. households were pre-2008.

Loan-to-Value (LTV) Ratios on Mortgages

Korean banks have maintained moderate LTV ratios on home loans thanks to strict regulations. The average mortgage LTV in Korea is around 60%, meaning buyers typically borrow about 60% of a property’s value (with 40% down payment). Regulators often cap LTVs in hot markets—for example, new loans in speculative areas have been limited to 50–60% LTV under macro-prudential rules. This is far more conservative than the U.S. subprime era, when many American borrowers could get 80–100% LTV mortgages and even “zero-down” loans. Korea also ties loan approvals to income through debt-service ratio (DSR) limits. These prudent lending standards reduce default risk because homeowners have more equity buffer; a drop in home prices is less likely to put them “underwater” on their loans. By contrast, in 2008 many U.S. homeowners had little or no equity, which led to mass defaults when prices fell.

Bank Liquidity and Loan Quality

Korean financial institutions currently appear stable but stretched. Banks are required to hold ample high-quality liquid assets; the aggregate Liquidity Coverage Ratio (LCR), which had been temporarily eased to 97.5% during COVID, is being restored to 100% in 2025. This means banks must keep liquid reserves equal to 100% of projected cash outflows, bolstering resilience. However, there are signs banks have aggressively expanded lending: for instance, smaller “savings banks” had been allowed a loan-to-deposit ratio (LDR) up to 110%, meaning they lent more than their deposit base. Regulators are now tightening that back down to 105% and eventually 100%, to ensure banks don’t overextend. Asset quality remains solid so far—the non-performing loan or delinquency ratio on household debt is still very low (around 0.4–0.5% as of early 2024). This suggests that most borrowers are managing to repay for now. (By comparison, U.S. bank mortgage delinquency rates soared well above 10% during the subprime crisis.) That said, delinquencies in Korea have been inching up—from a trough of 0.2% in mid-2022 to about 0.42% for household loans by early 2024—as higher interest rates pinch borrowers. Banks’ liquidity and capital buffers give some cushion, but rapid debt growth plus rising defaults could still strain the system if conditions worsen.

Parallels and Differences with the 2008 Subprime Crisis
Similar Risk Factors

Several warning signs in Korea’s current situation mirror the U.S. pre-2008 housing bubble. Most notably, household leverage is extremely high, even higher than U.S. levels before the crash. Korean real estate prices saw a sharp run-up in recent years (especially 2020–2021), fueled by cheap credit and speculative demand. Many Koreans assumed property values “only go up,” reminiscent of the mindset during the U.S. housing boom. Moreover, an external factor looms: interest rates rose rapidly, which in the U.S. triggered mortgage stress. In Korea, the Bank of Korea hiked the benchmark rate from record lows (0.5%) to 3.5% between mid-2021 and 2023 to fight inflation. This tripling of borrowing costs squeezed Korean homeowners with variable-rate loans, much like how U.S. subprime adjustable-rate mortgages (ARMs) reset to higher payments in 2006–2007. Signs of strain are emerging in Korea: household loan delinquencies are up, and court auctions of repossessed properties jumped to an 11-year high in 2024. These trends echo the early stages of the subprime crisis, where mounting defaults and foreclosures signaled a tipping point.

Key Differences and Mitigating Factors

Despite the similarities, there are critical differences that may prevent a 2008-style meltdown in Korea. First, lending standards have been tighter in Korea. Banks did not hand out loans to NINJAs (“no income, no job, no assets”) as happened in the U.S. subprime market. Average LTVs are around 50–60%, and debt-service ratio limits ensure borrowers have sufficient income. These policies mean the typical Korean borrower is less risky than many subprime borrowers were. Second, Korea’s financial system is less exposed to complex derivatives. In the U.S., risky mortgages were bundled into mortgage-backed securities (MBS) and sold worldwide, spreading and amplifying the risk. Korea’s mortgage debt largely stays on local bank balance sheets and isn’t massively securitized. As one analyst notes, “South Korea’s mortgage market is far less reliant on such instruments…the absence of risky mortgage-backed derivatives reduces the likelihood of a systemic financial collapse.” This contained structure means that even if borrowers default, the contagion may be limited mainly to domestic lenders rather than triggering a global credit freeze. Third, Korean authorities are proactively managing the situation. They have introduced “stress DSR” tests (factoring potential rate rises into loan approval), tightened LTV/DSR rules in overheated areas, and plan to cap household debt growth to around the pace of nominal GDP (~3–4%) to stabilize the debt-to-GDP ratio. The Bank of Korea is also signaling rate cuts in 2025 to ease pressure on borrowers. Such interventions contrast with the U.S. where regulators largely reacted after the crisis started. Finally, Korea’s banks entered this period with strong capital and liquidity positions (under Basel III standards) and very low default rates. In 2008, many U.S. financial institutions were highly leveraged and dependent on fragile short-term funding. Overall, these differences suggest that while Korea faces a serious debt problem, it may not implode in the chaotic fashion of the subprime collapse. As one report noted, rising repossessions are “unlikely to lead to a systemic financial collapse” in Korea, given the sturdier loan quality and regulatory oversight.

Possible Scenarios and Outcomes for Korea’s Housing Market

How might this situation play out? Below are three plausible scenarios—from a soft landing to a crisis—along with their potential outcomes:

Soft Landing (Managed Deleveraging)

In this optimistic scenario, Korea avoids a crisis through prudent policy and a bit of luck. The government and central bank successfully rein in credit growth without crashing the housing market. Interest rates gradually come down (as the BOK has hinted) which lowers monthly payments, and household incomes slowly rise, allowing debt ratios to improve. Housing prices stabilize or inch up moderately, so homeowners maintain equity. Under these conditions, default rates remain low—perhaps a small uptick but not enough to threaten banks. The outcome would be a controlled deleveraging: the household debt-to-income ratio might plateau or fall slightly each year, and banks continue meeting liquidity and capital requirements. Economic growth might be modest as consumers pay down debt, but a financial crisis is averted. This scenario is feasible if the global economy remains stable and if authorities stay vigilant. Indeed, keeping debt growth at or below GDP growth (≈3-4% annually) is an explicit goal to hold the debt-to-GDP ratio around 90%.

Probability: Many analysts view this as achievable but challenging—it requires disciplined policy and no major external shocks.

Extended Slowdown (Strain but No Meltdown)

This scenario envisions a tougher road—years of sluggish growth and financial stress, but not a full collapse. Household debt stays very high and acts as a drag on consumption (high debt service costs mean families spend less on other goods). Housing prices could stagnate or decline slightly, especially in over-supplied or less desirable regions, leaving some recent buyers with minimal equity gains. Loan delinquencies would likely rise in this case—perhaps from ~0.4% into the 1–2% range—as pockets of borrowers (especially those who over-leveraged at peak prices or took out loans for jeonse deposits) default. Banks might see their profits squeezed by more loan-loss provisions and a flat property market. However, the financial system endures the strain: big banks have capital buffers and the government could step in with support programs (e.g. refinancing aid for distressed borrowers) to prevent a spiral. The outcome here is akin to a slow bleed rather than an acute shock. Korea could face a “balance-sheet recession” dynamic where households focus on paying down debt for several years, dampening domestic demand. Unemployment might tick up in construction and finance sectors due to the housing cooldown. But critically, any crisis remains localized—some small lenders or developers might go bust, yet the core banking system stays intact. This scenario would be painful (in terms of weaker growth and personal bankruptcies) but manageable without a Lehman-style event.

Probability: This is considered a realistic scenario if housing prices don’t rebound strongly—essentially a grinding adjustment period for the economy.

Sharp Housing Downturn (Crisis Scenario)

In a worst-case scenario, South Korea could indeed face a financial crisis triggered by the housing market, though likely not identical in scale to the U.S. 2008 crash. This might unfold if, for example, global interest rates stay higher for longer or a recession hits Korea, causing housing demand to collapse. A steep drop in property prices (say, a 20%+ decline nationwide) would be devastating given the debt levels—many homeowners would fall into negative equity despite the lower LTVs. If unemployment rises at the same time, defaults could surge beyond the banking system’s comfort zone. Remember, a significant share of Korean mortgages are on variable rates; if rates can’t be cut enough or if the won currency weakens (forcing higher rates to defend it), monthly payments could become unmanageable for a large number of households. In this crisis scenario, banks would face mounting bad loans, and liquidity could dry up if panic sets in. Smaller financial institutions or non-bank lenders heavily exposed to housing could fail. The government and central bank would almost certainly intervene—perhaps freezing rates, injecting capital into banks, or even bailing out lenders—to prevent a total collapse. The outcome would be a recession accompanied by a credit crunch. Housing wealth would evaporate for many families, and consumer spending would contract sharply. However, due to the mitigating factors discussed (e.g. no widespread toxic derivatives, substantial bank buffers), experts believe even a severe housing downturn in Korea would likely be contained domestically. It might resemble crises that other high-debt countries have experienced (for example, the early-1990s housing bust in Finland or the 1997 Asian Financial Crisis in Korea’s own past) rather than the global contagion of 2008.

Probability: This worst case is considered low probability by most observers—not impossible, but would probably require a perfect storm of negative events (global recession, policy mistakes, etc.). Notably, Korea’s regulators are actively trying to avert this, learning lessons from past crises and the U.S. experience.

Current consensus:

While household debt is undeniably a serious vulnerability (some call it the “biggest risk to Korea’s economy” in 2024), the general view is that a U.S.-style systemic meltdown is unlikely if corrective measures continue. We may see stresses and a bumpy adjustment (as in scenario 2), but not necessarily a sudden collapse. Of course, predicting crises is difficult—a cautious stance is warranted. It will be important to watch indicators like debt-to-income trends, delinquency rates, and housing price indexes over the next 1-2 years for signs of which scenario is unfolding.

Risk Mitigation Strategies

Even if a nationwide crisis doesn’t materialize, high household debt can pose risks to individual borrowers. It’s wise to take precautions so we can withstand economic shocks or a housing downturn. Here are some steps we (as an individual or household) can consider to avoid or mitigate financial pain even if Korea’s broader economy falters:

Keep Debt-to-Income Manageable

Avoid taking on excessive debt relative to income. As a rule of thumb, be cautious if total debt payments (mortgage, credit cards, etc.) exceed ~30-40% of monthly income. In practical terms, this might mean not borrowing the absolute maximum the bank will lend for a home. A more conservative loan will give breathing room if interest rates rise or income dips.

Maintain an Equity Buffer (Limit LTV)

When buying property, try to put down a substantial down payment if possible. A lower LTV (e.g. 50-60% or less) protects us by ensuring we have equity in the home. This way, even if housing prices drop, we’re less likely to owe more than the house is worth. If we already own a home and its value has risen, consider prepaying some of the principal on our mortgage with extra savings—effectively increasing your equity. This reduces our leverage and interest burden over time.

Build Liquid Savings

In a debt-driven crisis, cash is king. Make sure to have an emergency fund (covering at least 3-6 months of expenses, if not more) set aside in a safe, liquid form. This buffer can help us keep up with loan payments during tough times (for example, if we face job loss or if rent from a tenant is delayed). It also prevents us from having to fire-sell assets at a loss. High household debt often goes hand-in-hand with low savings, so buck that trend by prioritizing some savings even while paying down debt.

Consider Fixed Interest Rates

If we fear interest rates may spike again, look into refinancing variable-rate loans into fixed-rate loans. Many Korean mortgages are variable, which means our payments can jump if the base rate rises. Locking in a fixed rate (even if slightly higher initially) provides certainty and shields us from rate volatility. This was a lesson from the subprime crisis—those with fixed rates fared better than those with ARMs when rates climbed. If full refinancing isn’t feasible, see if our lender offers interest rate caps or conversion options.

Diversify Our Assets

It’s risky to have all our wealth concentrated in real estate, especially if that real estate is funded by debt. To protect ourselves, try to diversify our investments and assets. For instance, we might invest some savings in other areas: stocks or bonds (domestic and international), or even keep a portion in foreign currency deposits or gold as a hedge. Diversification means that if Korean property values fall or the won currency weakens, not everything we own loses value at once. It provides balance—other assets may hold value or even rise, offsetting losses.

Stay Informed and Avoid Hype

In bubbly markets, there’s often a frenzy of optimism (“housing will only go up!”) right before things turn bad. Make decisions based on fundamentals—our financial capacity and long-term needs—rather than short-term market sentiment. Keep an eye on indicators like interest rate trends, government policy changes (e.g. new loan restrictions), and housing supply/demand data. Being informed will help us anticipate risks. For example, if we see debt levels and delinquency rates worsening significantly in the news , we might choose to delay a home purchase or sell an investment property while prices are still high. Essentially, don’t get caught up in speculative mania or panic—act prudently and have a plan B.

Plan for the Worst-Case

While no one likes to imagine a severe crisis, it’s smart to have a contingency plan. Ask ourselves how we would cope if, say, our home’s value fell 20% and our income dropped. If the answer is “I’d struggle to pay the mortgage,” then proactively consider steps to reduce that risk (such as those above, or even downsizing our home or reducing debt now while times are relatively good). If we own multiple properties or highly leveraged investments, assess whether we could weather a downturn—if not, it might be wise to trim risky positions now. It’s easier to prevent a debt problem than to dig out of one. Ensuring adequate insurance (health, unemployment, etc.) is also part of crisis-proofing our finances.

By following the above strategies, we can improve our financial resilience. Even if South Korea were to experience a banking or housing crisis, we’ll be better positioned to ride it out. History shows that those who keep debt at prudent levels and maintain flexibility can survive downturns, whereas those who are over-extended often face the harshest consequences when bubbles burst.

Conclusion

South Korea’s situation shares some alarming traits with the pre-2008 subprime crisis—chiefly a rapid build-up of household debt and frothy real estate prices. Key risk indicators like the household debt-to-income ratio (175%+) are flashing red, and any further deterioration (for instance, rising interest costs or falling incomes) could push vulnerable borrowers into default. However, important buffers are in place: banks and regulators in Korea have tightened lending standards and maintained higher liquidity, unlike the lax environment of the U.S. before 2008. These measures should not breed complacency, but they do make a sudden catastrophic collapse less likely. The more probable outcome is a period of financial adjustment—potentially painful for the economy, yet short of a full meltdown.

Bottom line: A crisis in Korea’s housing market is not inevitable, but the risks are real. Much will depend on policy responses and external economic conditions in the coming months. As individuals, we cannot control macro outcomes, but we can control our own financial choices. By managing our debt prudently and preparing for adverse scenarios, we’ll protect ourselves even if the broader market stumbles. In uncertain times, caution and preparedness are our best allies.

Investment Thesis

Equity Research: Niche Moats

Analysis of 5 under-the-radar companies with quasi-monopolistic advantages.

Strategy: Identifying U.S. small/mid-cap stocks ($500M - $10B) with dominant niche positions, strong financials, and reasonable valuations that have been overlooked by hype cycles.
Miller Industries (MLR)
Machinery | Cap: ~$460M

The Moat: Tow Truck Titan

Undisputed leader in tow/recovery vehicles (Century, Vulcan brands). High switching costs due to extensive dealer network and brand loyalty.

Thesis: Stock down ~34% LTM despite dominant market share. Conservative balance sheet (D/E 0.13) and normalized demand creates a deep value opportunity (EV/Sales < 0.5).
Verra Mobility (VRRM)
Smart Mobility | Cap: ~$3.9B

The Moat: Infrastructure Lock-in

Operates toll/speed camera systems for governments. Long-term contracts and integration into city infrastructure create high barriers to entry.

Thesis: High recurring revenue and EBITDA margins (~45%). Market underestimates cash generation capacity to deleverage.
Addus HomeCare (ADUS)
Healthcare | Cap: ~$2.1B

The Moat: Local Density

Dominant provider of home-based personal care (Medicaid). Deep local ties and regulatory expertise create a "local monopoly" effect.

Thesis: Stable double-digit growth with defensive characteristics. Positive reimbursement trends (IL/TX) ignored by market.
RCI Hospitality (RICK)
Hospitality | Cap: ~$267M

The Moat: Regulatory Protection

Owns adult venues (Rick's Cabaret). Zoning laws prevent new competitors, granting existing licenses a legal monopoly.

Thesis: Trading at fire-sale valuations (~5x EBITDA) due to temporary legal news. High cash flow + active buybacks + real estate backing provide margin of safety.
Acushnet (GOLF)
Consumer | Cap: ~$4.5B

The Moat: Brand Loyalty

Parent of Titleist/FootJoy. #1 ball in golf creates recurring revenue stream similar to razor/blade model.

Thesis: Steady compounder (ROIC > WACC) trading at reasonable ~15x earnings. Low volatility "quasi-monopoly" in sports.

Philosophy

Essay I

Thermodynamics of the Soul

A four-part meditation on entropy, emotion, and the physics of memory.

When I left home for the military, I thought separation would just mean distance—a temporary disconnection from the world I knew. Instead, it became a kind of experiment in physics.

The more I watched the world shrink into repetition and silence, the more I realized that the same laws that govern matter also govern feeling. Entropy, decay, containment, conservation—all exist within the soul.

I. The Half-Life of Emotion

Every emotion decays. Not suddenly, but predictably—like a radioactive element losing its brilliance with time. Love, grief, excitement, shame—they all obey the same quiet law: the more we revisit them, the more they weaken.

“The heart, like the atom, cannot stay excited forever.”

II. Echoes in Closed Systems

Military life is a closed system. From the outside, it looks like stability. But inside, the mind reverberates. Memory bounces back louder each time. The result is not silence, but resonance.

“Confinement doesn’t destroy the self. It concentrates it.”

III. The Geometry of Longing

In physics, gravity bends space. Longing does the same thing to time. Desire dilates time; absence compresses it. We live inside the geometry of our own distortions.

IV. The Conservation of Presence

Physics tells us that energy cannot be created or destroyed. The same must be true of presence. People disappear from our lives, but not from the system. Their absence becomes echo.

Author’s Note: Writing this was calibration. A reminder that decay is not destruction.

Essay II

Philosophical Parallel

Entropy, The Observer Effect, and the Collapse of Memory.

We can never go back the same way. Entropy is the tendency for systems to move from order to disorder—a directionality we perceive as time. The more interactions, the more randomness, the more the system becomes irreversible.

In life, that one high school afternoon, a breeze through an open window, a song playing in the background while laughing with a friend—it was one microstate among trillions. And because every variable has shifted since—the friend, the breeze, my thoughts—it can never happen again in that exact configuration.

Just like entropy, nostalgia is asymmetric—it flows in one direction. I can recall the past, but I cannot re-enter it.

The Improbability of the Moment

That specific combination of conditions—what song was playing, what I felt, what my friend said, the angle of sunlight, my emotional state—was one microstate chosen out of an almost infinite space.

“It wasn’t designed, and yet it became sacred.”

This creates a paradox: How could something so unplanned feel so important? That moment becomes meaningful precisely because it cannot happen again.

Why nostalgia hurts: the emotional ache of nostalgia isn’t just missing the past—it’s the recognition that the configuration is unrecoverable. The brain knows it will never perfectly align again. No adult re-creation with the same people can truly reconstruct the feeling because I am no longer the same observer.

The Observer Effect

This mirrors the quantum idea that observation changes the state. When I recall a memory, I disturb it. When I try to re-create the past, I fail because the act of seeking already alters my state. So even chasing that feeling bends it further from reach.

The moment has already collapsed. Like a wave function in quantum mechanics, the original moment existed as a unique configuration—one precise combination of time, emotion, environment, and self. The instant we try to observe it, replicate it, or remake it, we collapse the possibility space into something narrower—something less real.

The Distortion of Replication

The attempt itself introduces distortion. Every act of replication becomes performance. We replay the song that once made us feel free—but now we’re watching ourselves for emotional reaction, measuring it, noting its dullness.

“We boot up the game we once loved—but it’s too quiet, too empty, the interface feels dated. It’s not the place that’s different—it’s us.”

Every attempt confirms what we’ve lost. The emotional feedback loop of nostalgia has a dark symmetry: the harder we chase the past, the more we realize we cannot catch it. That realization becomes a second kind of loss.

Toward Reverence

So what do we do? We don’t re-create the past, but we can sense its rarity. That sense teaches appreciation—a kind of emotional thermodynamics. We become someone who notices the entropy of joy, and that noticing itself becomes a new kind of wisdom.

In the entropy of experience, replication is impossible—but reverence is not. And from that reverence, a new kind of meaning can emerge: not in imitation, but in living fully now, so that someday, today’s ordinary might ache just as sweetly.

Essay III

Physics of Separation

Entropy, Order, and the Irreversibility of Home.

When you leave home, you expect to miss the people, the streets, the late-night walks. You don’t expect to miss the air between moments—the invisible medium that once carried your life’s warmth. But distance has a way of revealing what truly mattered. It’s not the buildings or the objects that haunt you. It’s the configurations—those fleeting alignments of time, emotion, and presence that entropy quietly erased.

Order and Rebellion

In the military, order defines everything. The bed corners are exact, routines repeat with mechanical precision, and every gesture belongs to a collective rhythm. The system is designed to minimize randomness—entropy reduced to near zero. Yet inside that structure, the mind becomes the only place where disorder still thrives. Memory, unregulated, leaks through like heat through metal. And the more the body adapts to uniformity, the louder the past begins to hum.

Each night, after the drills and commands fade, I find myself remembering not events but textures: the half-light of my room back home, the hum of a refrigerator, the way my friend’s voice used to break into laughter. These summon themselves—they surface, uninvited, as if entropy itself were reminding me that nothing stable lasts.

“The paradox is cruel: the stricter my environment becomes, the freer my memories feel. In a world engineered for sameness, nostalgia becomes rebellion.”

Home as a State Function

Entropy is supposed to be the measure of disorder in a system. But in human terms, maybe it’s the measure of irreversibility—the impossibility of reassembling what has already scattered. Every time I think of home, I realize I am not recalling a place but a state function—a combination of variables (youth, freedom, expectation) that can no longer coexist. The moment I try to hold it still, I collapse its probability. I am, once again, the observer disturbing the system.

That’s the hidden cruelty of nostalgia: it asks you to return as the same observer when the very act of missing has changed you. The soldier who recalls the student cannot be the same person who once sat by the window; the act of service alters the conditions of observation. Even if I returned home today, it would no longer be home—only a set of coordinates that once hosted a life I’ve already outgrown.

Distillation

And yet, within that irreversibility lies something sacred. Entropy may dissolve the structures we love, but it ensures that each moment is unrepeatable. The ache we feel is not just pain—it’s evidence that something once burned bright enough to leave an afterimage. To live fully, then, is to accept the decay as part of the design. Meaning doesn’t survive entropy; it emerges from it.

Perhaps this is what “home” becomes, over time: not a place to return to, but a collection of decayed microstates we carry as warmth. The physics of missing is not about recovery but recognition—the realization that loss is not the end of experience, but its transformation into memory.

“Entropy doesn’t destroy the past. It distills it.
And if we pay attention, even the fading becomes a form of light.”

Essay IV

Discipline

Obedience, Responsibility, and the Architecture of Self.

What is the army for? Not just in theory—defense, deterrence, national security—but in human terms. What function does a military service serve inside the minds of those who inhabit it?

At its core, an army exists to impose order on uncertainty. War, danger, and human fear are chaotic; the military converts that chaos into a chain of command, procedures, and predictability. Every uniform, every salute, every routine is an attempt to domesticate disorder.

But here’s the paradox: this order only works if individuals surrender part of their judgment. Soldiers are trained to act as extensions of a system—to obey instantly, suppress doubt, and rely on the structure.

“The promise is safety through obedience; the cost is personal autonomy.”

Responsibility vs. Function

What does the army actually teach people about responsibility? In daily life, responsibility isn’t about moral reflection or abstract virtue. It’s about function. You’re told what to do, how to do it, and when. Responsibility means being accountable for execution, not for judgment. It’s not about why you did something, but whether you did it right.

But here’s the tension: the system depends on people not thinking too much—yet it also punishes anyone who “should have known better.” Soldiers quickly learn that what’s rewarded isn’t initiative, but predictable reliability. So people internalize a rule of survival: don’t make waves, don’t get noticed, don’t get blamed.

The Gray Zone of Discipline

What is discipline, really, in the army? It’s easy to mistake it for blind obedience—the ability to follow orders instantly. But in practice, discipline isn’t just about control; it’s about stability under pressure. It’s what keeps a unit functioning when everything else—fear, confusion, fatigue—breaks down.

Yet the strange thing is this: the more rigid the system tries to make discipline, the more improvised it becomes on the ground. In theory, every action should be ordered. In reality, soldiers constantly adjust, cut corners, anticipate—not out of defiance, but to keep things efficient. So what we call “discipline” often lives in a gray zone between obedience and adaptation.

“Discipline demands conformity, but survival depends on discretion.”

Internalizing the Rhythm

How does a soldier learn discipline? Not from lectures, and not really from punishments either. It’s learned through repetition until reflex replaces hesitation. Every inspection, every shouted command, every synchronized movement trains the body first—then the mind follows. Discipline starts as external pressure but slowly becomes internal rhythm.

You begin to measure time differently: wake-up, formation, meal, drill. The structure starts to live inside you. Even when you’re off duty, part of you still listens for orders that aren’t coming. That’s the subtle victory of the system—it rewires instinct.

Obedience vs. Submission

Some internalize discipline while others resist it. The difference lies in where each person locates meaning. I’ve tried to perfect even small routines—cleaning, walking properly—and discipline became a personal code. It’s a way to preserve agency in a place where agency is mostly taken away.

Others, though, see the same structure as purely external. To them, the army’s demands feel like an imposition to be endured, not integrated. To internalize discipline requires a certain philosophical acceptance—the idea that form itself can be a kind of freedom.

So in the army, obedience is constant, but submission is optional. Some obey with resentment, others with intention. Both are compliant—only one is transformed.

“Discipline isn’t what’s done to you; it’s what you decide it means. It’s the act of reclaiming authorship over what looks like constraint.”
Essay V

Six Days of Ordinary Freedom

Nov 3-8: Brief awakenings into the life once took for granted.

It’s strange how much changes in four months. This was my first leave—from November 3 to 8—and somehow it felt both busy and fleeting. Between banks, errands, and catching up, the days disappeared before I could even settle in.

When I first came home, my cat Haku did not recognize me right away. He sniffed, hesitated—and then seemed to remember. It was a small moment, but it hit me harder than I expected.

The Texture of Normal Days

The bed felt softer than I remembered. The desk, the iPad, even the quiet of the study—all of it felt unfamiliar at first, then suddenly indispensable. Four months ago, these were just parts of everyday life. Now, they feel like luxuries.

“What changed isn’t the house—it’s the awareness.”

Just sitting still, hearing the music from my laptop or the faint sound of Mom watching videos while I’m in another room—those moments feel sacred now. They remind me of how absurdly restrictive this military life can be, how much it erases the texture of normal days.

Brief Awakenings

When I walked home from the barbershop today—down the familiar Maple Xi road—Mom told me she hadn’t walked that way much since I enlisted. I could sense the quiet that settled over the house in my absence. Dad hadn’t talked much, and my sister had kept her door closed. For a brief moment during my first leave, my family was whole.

Tomorrow I go back. I’ve taken pictures of the house, the jogging path next to the Han River, the streets I used to walk without thinking. I know that once I’m back in uniform, these memories will start to blur—like the visits after basic training. They always feel like dreams once they’re over.

Maybe that’s what these short leaves are: brief awakenings into the life you once took for granted.

Essay VI

The Ethics of Proximity

Confidentiality, The Black Box Theory, and Fiduciary Duty.

In the military, the hierarchy is usually visible: rank patches, salutes, the rigid spacing of a formation. But inside the Battalion Commander’s vehicle (vehicle code no.1), the hierarchy compresses into a space of less than three cubic meters.

As the designated driver for the Battalion Commander (Lieutenant Colonel), I operated in a unique intersection of logistics and intimacy. While my peers in the transport company wrestled with the brute mechanics of heavy-duty tactical trucks—fighting torque and terrain—my role required a different kind of friction management: the maintenance of absolute, professional silence and procedural integrity.

The Black Box Theory

In legal theory, "privilege" protects communications between certain parties to encourage full disclosure. The Commander’s vehicle operates on a similar, albeit unwritten, social contract. The car is a sanctuary. It is the only place where a Commander can remove the mask of infallibility.

For this ecosystem to function, the driver must essentially become a "black box": recording the inputs (routes, schedules, conversations) but strictly sealing the outputs. I learned quickly that the most critical skill was not the smoothness of the turn, but the discipline of retaining without disclosure.

“Integrity is often passive; it is the disciplined act of remaining silent when speaking would be easy.”

The Mobile Secretariat

Beyond the silence, the role demanded an active participation in the battalion’s bureaucracy. I wasn't just transporting a person; I was transporting authority. I often acted as the temporary custodian of the "approval folder"—the physical stack of promotions, disciplinary actions, and operational orders.

This was an exercise in chain of custody. I learned to treat every piece of paper not as stationery, but as a trigger for kinetic action. It required an "anticipatory logic"—predicting which briefing notes would be needed for a Brigade meeting or ensuring the previous inspection report was ready on the dashboard before it was asked for.

The Architecture of Trust

My time driving heavy-duty trucks taught me the physics of momentum. Driving the Commander taught me the physics of trust.

Whether I was guarding the privacy of a conversation or the security of a personnel file, the principle remained the same: reliability reduces entropy. As I look toward a future in law, where the confidentiality of a client and the precision of a brief are the bedrocks of practice, I realize my first lesson in fiduciary duty didn't happen in a classroom.

It happened in the driver’s seat, ensuring that the conversations in the back remained as ephemeral as the landscape rushing past us, while the documents on the seat next to me arrived exactly where they needed to be.

Creative Works

B-flat Clarinet

Served as band concert master at Takoma Park Magnet School.

"I always had a sense of pride when playing in the band..."

Arrangements & AI Composition

  • Turandot Act 2 (Transcribed)
  • Pirates of the Caribbean (French Horn adaptation)

Better Days.mp3

AI Composition (Suno)

Generated using Suno AI. Exploring the intersection of algorithmic creativity and musical form.

Archive

The Architecture of Forgetting

Narrative Reconstruction in Nolan’s Memento
Wall Street Journal Archives

Tylenol Crisis & Kenvue

  • Promoter of COVID19 misinformation was connecting autism with acetaminophen, the active ingredient in Tylenol
  • CEO Kirk Perry’s efforts to convince Kennedy that there was no science behind such claims had failed
  • Extraordinary public announcement that contradicted widespread medical consensus and even his own top health advisers
  • President Trump warned that acetaminophen is a potential cause of autism, urging expecting mothers to “tough it out” without the drug if they could
  • Kenvue, the company that makes Tylenol, thrown into crisis just 70 days into Perry’s tenure as CEO
  • Tylenol set the gold standard for corporate crisis management in 1982 after people died from taking its pain medication that had been tempered with and laced with cyanide
  • Won back public trust with a quick recall, a redesign of its bottles to be tamper-resistant, and lots of coupons
  • Direct assault on the brand by the president of the US could open up the company to legal challenges. One reason that Kenvue’s stock hit an all-time low this past week
  • Millions of pregnant women around the world will avoid Tylenol when they have fevers, infections, or other symptoms. Leaving those ailments untreated could increase birth defects and could itself contribute to a rise in autism
  • Perry retired earlier this year after a career in marketing that included stints at Google and Procter & Gamble
  • Kenvue became independent two years ago when Johnson & Johnson split off its consumer-health unit
  • Kenvue fought attacks linking Tylenol to autism, but it didn’t get much attention
  • Some 500 lawsuits had been filed against Kenvue and other makers of acetaminophen products in federal courts. Alleging that use of the drug during pregnancy caused autism and attention-deficit/hyperactivity disorder in children
  • Expert witness for plaintiffs was Dr. Andrea Baccarelli, dean of the faculty of Harvard T.H. Chan School of Public Health. Federal judge in New York concluded that Baccarelli’s opinions about causation weren’t admissible in the litigation
  • Kenvue argued in court that there was no credible evidence of a causal link
  • Judge sided with Kenvue in December 2023 and the cases were dismissed, though plaintiffs are appealing and some lawsuits have been filed in state courts
  • The board ousted its CEO, a J&J veteran who had led the company since the spinoff. Brought in Perry while it searched for a permanent replacement
  • Perry suggested that they streamline the product portfolio because the company made too many items that were generating only a small fraction of its sales
  • Journal called BMC Environmental Research published the results of an analysis by researchers from Harvard’s public-health school and other institutions. A majority of the studies found an association between acetaminophen and neurodevelopmental disorders including autism, though they stopped short of saying there was definitive evidence of causation
  • Baccarelli discussed his findings in recent weeks with Kennedy and Dr. Jay Bhattacharya, the director of the National Institutes of Health
  • Tylenol bottle says women who are pregnant should speak to a health professional before taking the medicine.
  • Perry and Kenvue’s chief scientific officer, Caroline Tillett, made their case that there was no clear evidence linking autism and acetaminophen, and that there weren’t good alternatives to acetaminophen during pregnancy
  • Perry and Tillett came away from the meeting with Kennedy thinking it had gone well, thinking that Kennedy’s request to set up additional meetings with Oz and Bhattacharya was a good sign that they could work with the administration
  • Kennedy texted Perry the link to a Substack written by Sayer Ji, the founder of an alternative-health information platform (GreenMedInfo). Vaccinations, prenatal ultrasounds and “stressors” from cesarean sections are among other factors that can increase autism risk
  • Perry and his management team briefed the board on Kennedy’s impending autism report
  • Trump promised a Monday announcement about “an answer to autism” in a packed football stadium for the memorial service for assassinated conservative activist Charlie Kirk
  • Company issued a statement worded more strongly than its prior public comments: “Science clearly shows that taking acetaminophen doesn’t cause autism”
  • Kenvue canceled its meetings with Oz and Bhattacharya
  • At the start of his press conference televised from the White House’s Roosevelt Room, Trump said acetaminophen was associated with a “very increased” risk of autism
  • US Food and Drug Administration guidance on the link between acetaminophen and autism was far more nuanced. While an association between acetaminophen and autism has been described in many studies, a causal relationship has not been established and there are contrary studies in the scientific literature
  • Nuance went out the window as social media blew up. 2017 tweet from the Tylenol account that read: “We actually don’t recommend using any of our products while pregnant” was seized upon by advocates for Kennedy’s MAHA initiative
  • Tylenol → “we do not recommend pregnant women take any medication without talking to their doctor” & the 2017 tweet was “incomplete and did not address our full guidance on the safe use of Tylenol”
  • Kenvue is evaluating its potential liability, in the event that the statements from Trump and his administration spark a new round of lawsuits

Meeting with Tylenol’s Maker & Leucovorin

  • Kennedy found Kenvue’s evidence in support of the drug to be poor, and became convinced that he had a moral duty to get the word out about the risk of acetaminophen as soon as possible
  • Bhattacharya, Oz, and Makary had advocated for putting the emphasis on leucovorin
  • Top doctors agreed generally that acetaminophen was worth warning women about, and that the evidence pointed to the need to be cautious with the drug
  • POTUS laid out in no uncertain terms that pregnant women should avoid Tylenol
  • Leucovorin became more of an afterthought
  • Spokeswoman for Kenvue: “The facts are that over a decade of rigorous research, endorsed by leading medical professionals and global health regulators, confirms there is no credible evidence linking acetaminophen to autism”
  • Promise of leucovorin: Chemically related to vitamin B9. Typically used to ward off side effects of chemotherapy. Helped improve communication and behavioral symptoms in some autistic people
  • Some autism researchers claim that the studies are too small to make a sweeping recommendation of the drug

Kenvue Braces for Lawsuits

  • Kenvue is preparing for an explosion of litigation over its popular pain reliever Tylenol after the Trump administration warned that the drug’s active ingredient is a potential cause of autism
  • Finding by President Trump’s health officials could provide ammunition to plaintiff’s attorneys who are seeking to reverse losses in older lawsuits alleging the medicine caused the neurodevelopmental disorders
  • Food and Drug Administration is notifying physicians of the potential link, recommending that pregnant women use the lowest dose and for the shortest duration if their doctors determine it is necessary for pain or fever
  • There can be risks for untreated fever in pregnancy for both the mother and the fetus
  • Tylenol, one of the most widely used OTC medicines, is a top-selling product for Kenvue, generating an estimated 10% of the company’s $15 billion in annual sales
  • New federal warning on the link to autism could hurt sales, but the sales impact might be modest because pregnant women’s use of Tylenol makes up only a small part of the product’s sales. Bigger complication might be an increase in the lawsuits alleging Tylenol caused autism in children whose mothers used it during pregnancy
  • To date, Kenvue has been successful in fending off the lawsuits. In 2023, a federal judge ruled there wasn’t sufficient evidence that acetaminophen caused autism
  • Plaintiff’s lawyers have appealed that 2023 ruling in a bid to revive the federal lawsuits. Now likely include the Trump administration’s warning in their argument to the appellate court that the lower-court dismissals should be reserved
  • Even if federal lawsuits aren’t revived, the new federal warning could prompt thousands of lawsuits to be filed in state courts. Plaintiff’s attorneys represent tens of thousands of families with autistic children who haven’t yet filed lawsuits
  • Statute of limitations for filing lawsuits on behalf of minors is paused until they turn 18 → lawsuits could roll in for many years to come
  • A label change warning of the potential risk could pose a challenge for Kenvue because it could strengthen the plaintiff’s arguments that the company failed to warn of the risk
  • Kenvue said that Tylenol is safe and that the science shows no clear link between it and autism

Markets & Finance

  • Stocks rise after investors brush off sticky inflation, tariffs
  • Stocks climbed Friday, with investors looking past sticky inflation data and President Trump’s new round of tariffs
  • Personal-consumption expenditures price index showed that price pressures remained stubbornly above the central bank’s 2% target last month. In line with expectations, easing concerns that inflation might be accelerating
  • Traders continue to expect two additional rate reductions from the Fed in October and December after Friday’s report
  • Treasury yields: Rise when bond prices fall. Little changed
  • President Trump unveiled new tariffs on drugs, trucks, and furniture late Thursday. Didn’t spark the kind of market volatility seen in April. Due to take effect on Wednesday, Oct. 1
  • Big U.S. and European drugmakers largely shrugged off Trump’s new pharmaceutical tariffs. Shares of U.S. drugmakers, including Eli Lilly, Merck, and Pfizer, rose after Trump said the 100% levy would apply only to patented or branded drugs, and to those sold by companies that aren’t building plants in America
  • Fueled by investor optimism for rate cuts and solid corporate earnings, stocks have notched repeated new highs in September, historically the worst month for the stock market
  • Pervasive sense of complacency is sparking caution among some investors who suggest that the market’s advance appears disconnected from the underlying economic anxiety
  • Recent market gains. Consumer sentiment declined this month

Investment Taxes & ETFs

  • Two heaviest drags on future returns: Fees and taxes
  • Market-tracking exchange-traded funds have reduced fees to nearly nothing. Enabled investors to defer much of the tax drag
  • New ETFS and other vehicles are aiming to reduce the remaining tax drag to nearly nothing as well
  • Seek to pass the total return of a market index through to you, and defer tax on it, until you eventually sell the fund
  • If they can pull it off over the long run, they will stop Uncle Sam from taking a cut every year
  • Exchange funds: Not ETFs. Only recently undergone a revival. Enable someone who holds appreciated shares to exchange them for a stake in a diversified pool of stocks without having to pay immediate capital-gains tax.
  • You want to diversify after the stock you bought a decade ago gained a massive increase, but you can’t bear to pay hundreds of thousands of dollars in capital-gains taxes. You can put your shares into an exchange fund, instantly diversifying without incurring a current tax bill.
  • To defer the tax, you must hold the exchange fund for seven years, after which you may either sell it or hang on. Cost basis on the fund will be the same as it was on the original shares of stock. Not taxed until you sell the exchange fund.
  • You need to be an “accredited investor,” with high annual income or net worth. You must be able to weather that seven-year holding period. Trading liquidity for tax deferral. An ultraconcentrated position in a single stock becomes a low-cost, broadly diversified holding.
  • Funds that trade options contracts: Mimic the returns of a market index. Alpha Architect 1-3 Month Box ETF seeks to meet or beat the return of a basket of short-term treasury securities. Return isn’t in the form of ordinary income, taxable at rates that can exceed 37%. Return comes as growth in value per share. Sell after at least a year, and that growth should be taxable at long-term capital-gains rates.
  • Dividend stripping: ETF holds a stock or another ETF that tracks a market index. Right before the underlying asset distributes an interest or dividend payment, the ETF swaps it for a substantially similar position. Returns to its original holding at a lower price that accounts for the income payout. ETF didn’t receive the income → doesn’t have to pass it through to investors. By re-establishing its position in the same asset at a newly reduced price, it slightly increases its stake. Converts what would have been income to a potential capital gain–taxable at a lower rate, only when the investor sells.
  • Except for exchange funds, the other funds are new to the marketplace and largely untested by the Internal Revenue Service. Could challenge at least some of them on the basis of being tax dodges.

High Yield Option Funds

  • Dividend yield on the S&P 500 is 1.3%. Nearly a dozen exchange-traded funds were offering payouts of at least 100% this week. For every $100 you invest, you might expect to earn more than $100 in yearly income. Several of these ETFs boasted yields of 130% to 230%.
  • Funds generate high weekly or monthly income by trading options contracts on a single stock. Many of these ETFs are tied to such volatile stocks as Coinbase, MicroStrategy, Nvidia, or Tesla. Much of the “yield” is just your own money handed back to you. Principal value of your investment could shrivel.
  • “Risky enough to go into a single volatile stock, but then you’re gearing it up with additional layers of risk”
  • At least 95% of some of these ETFs are held by individual investors or small financial advisors
  • By selling options, most of these funds trade away some of a stock’s future upside to earn higher income now. When the stock goes up, these ETFs won’t do nearly as well. When it goes down, the funds will do a little less badly.
  • YieldMax TSLA Option Income Strategy ETF: Sells options on Tesla stock. Distribution rate, or implied yield, was 62.8% this week. Fund launched in Nov. 2022 at a split-adjusted $40 per share. Traded this week under $8.50–roughly an 80% decline even though Tesla’s stock is up nearly 70% over the same period.
  • After all those huge payouts, the fund’s total return has averaged only a bit above 7% annually. Rest of the ETF’s value shaved down in monthly installments, handing shareholders their own money back as a return of capital.
  • Higher the yield you’re generating, the higher the risk you’re taking with the principal. Options are more volatile than the stock itself.
  • Reminiscent of funds that rolled out right before the crash of 1929. Led by Goldman Sachs, firms built pyramids in which one fund bought another inside yet another, with leverage at each level.
  • You should be more concerned about the return of your money than the return on your money.

Timeline of Key Moments in American Capitalism

The Early Republic (1776-1820)
  • 1776: Independence. Declaration of Independence was as much economic as political. Resisting the mercantilist system favored by the British. Adam Smith published “The Wealth of Nations” that provided theoretical underpinning for the American experiment in free markets.
  • 1787: Commodifying land. Northwest Ordinance established a framework for converting indigenous land into settled territory. Set the stage for American land markets and Westward expansion.
  • 1803: Continental Expansion. France ceded its “territory” to the U.S. (though the indigenous peoples there didn’t consent). Louisiana Purchase enabled Americans to imagine continental ambitions as a reality.
  • 1791-93: The Factory and the Cotton Gin. Eli Whitney’s invention of the cotton gin brought the expansion of slavery in the U.S. South. The first industrial mill, Slater Mill, opened in Rhode Island to process that cotton into fabric. Set the course of the intertwined antebellum economy in the North and South–an enslaved workforce in the South and an industrialized workforce in the North.
  • 1799: Napoleonic America. Excluded from the British mercantilist system, the new nation struggled until Napoleon’s rise created opportunities for Americans as neutral suppliers to both France and Britain. Huge shipping fortunes emerged, creating demand for banks and insurers. These fortunes underpinned the first large-scale mechanized textile production, completely replacing household production for the first time in U.S. history.
  • 1817-19: Free market. Corporation was initially a state-chartered monopoly for the public good. NYSE created the first open securities markets in the U.S. Supreme Court’s Dartmouth v. Woodward decision established clear limits on state power to intrude on private corporations, strengthening corporate rights and autonomy. Nearly all states still retained the right on whether to charter corporations, which needed to have a public purpose. Only slowly over the 19th century did states make creating a corporation a matter of paperwork rather than legislation.
  • 1820: New England Mills. Textile mills of Lawrence and Lowell, Mass., were a distinctly American approach to industrialization. Mill towns employed young women from rural New England, providing dormitory housing and attempting to maintain moral oversight while maximizing efficiency.
  • 1816: A National Vision. Henry Clay pushed the Whig Party’s nationalized economic vision through Congress. High tariffs would protect nascent industrialization and increase federal revenue. Second Bank of the U.S. would stabilize currency and backstop riskier state banks. Internal improvements (roads and turnpikes) received investment to control the vast territory beyond the coasts.
The Market Revolution (1820-60)
  • 1825: Canals and Connections. Erie Canal connected the Great Lakes to the Atlantic, transforming upstate New York and the Midwest into international wheat exporters, especially to Caribbean slave plantations dependent on food imports.
  • 1830: Westward Ho. Baltimore & Ohio, the first long-distance East-West railroad company, allowed goods from the West to flow East like never before, launching a half-century of innovation, building and speculation. Congress passed the Indian Removal Act, seeking to eliminate or relocate Native Americans east of the Mississippi. Combination of rail and rifle consolidated U.S. control in the east.
  • 1837: Financialized Enslavement. Panic of 1837 revealed the connections between slavery, land speculation and banking. Southern banks had issued currency backed by enslaved people as collateral, creating a volatile financial system that collapsed when cotton prices fell and land speculation schemes failed. Underpin the latter credibility of Confederate finances.
  • 1838: Electronic Communication. Samuel Morse’s telegraph enabled instantaneous long-distance communication, beginning the integration of global financial markets and revolutionizing business coordination across vast distances.
  • 1839: Married Women’s Property Acts. Began ending the practice of coverture, allowing women to own property and conduct business independent of husbands.
  • 1849: California Gold Rush. Increased global gold supply, establishing San Francisco as a financial center and creating new networks of investment and speculation that connected the West Coast to global markets. Influx of gold underpinned the global currency expansion that facilitated economic growth.
National Consolidation (1860-90)
  • 1863-64: The End of These United States. Legal Tender Act enabled federal paper money–greenbacks–that became the sole official U.S. currency within years. Homestead Act settled Americans in large numbers in the trans-Mississippi West. Pacific Railway Act chartered the first transcontinental railway, the Union Pacific. National Banking Acts created a uniform national bank system. Nation now mattered more than the states. United States was now singular, not plural.
  • 1863: Emancipation Proclamation. Issued during the Civil War. Offered freedom for all enslaved people within the Confederacy. End of slavery wouldn’t occur until the war’s end.
  • 1869: Transcontinental Railroad. Leland Stanford drove a golden spike to connect the Central Pacific and Union Pacific Railroads at Promontory Summit, Utah. Stanford became wealthy and famous. Most work was done by tens of thousands of Chinese immigrants who comprised 90% of the workforce building the Western portion.
  • 1860s: Department Store. New York department stores like A.T. Stewart’s Marble Palace and Macy’s revolutionized retail by offering fixed prices, return policies, and vast selections, essentially bringing a long street of shops under one roof. Created new forms of consumer culture and employment opportunities, particularly for women as shopgirls and clerks.
  • 1872: Montgomery Ward. Aaron Montgomery Ward introduced the first mail-order catalog to bring city prices to rural Americans. Proliferating railroad network had reduced distribution costs. Ward realized there was a large market for delivering dry goods to railroad depots. First catalog was just one page. By the 1880s’ end, it exceeded 500 pages with 24,000 items.
  • 1873: Andrew Carnegie and Coinage. Coinage Act placed the U.S. on a de facto gold standard amid the global panic of 1873. Jay Cooke, and other investment houses, collapsed in the panic. Andrew Carnegie began acquiring companies that would form Carnegie Steel, which made the steel for the nation’s rail system.
  • 1865-77: The Failure of Reconstruction. The Civil War’s aftermath began with hope soon dashed. Full citizenship with political and economic equality was elusive. Federal troop withdrawal as part of the Compromise of 1877 to make Rutherford Hayes president, Reconstruction-era optimism ended.
The Industrial Age (1870-1913)
  • 1870: Business Avoids the Market. Jay Cooke received a Pennsylvania charter for a corporation that would only own other companies–a holding company that began an era when the biggest businesses actively avoided market forces. Alternative was the trust, which required no corporate charter. John Rockefeller’s Standard Oil Trust, whose major successor is Exxon Mobil, launched the American oil industry. After the Sherman Antitrust Act, purposeful monopoly became formally illegal but remained difficult to enforce.
  • 1877: Strike. First national railroad workers’ strike in 1877 was the beginning of industrial-era struggles between labor and capital, as Army and National Guard forces suppressed worker rebellions along rail lines.
  • 1883: Segregated Markets. American racial segregation system known as Jim Crow is often misunderstood as emerging immediately after slavery, but actually began two decades later. In a series of rulings in 1883, the Supreme Court found the Civil Rights Act of 1875 unconstitutional, ruling that the federal government lacked power to prevent private business discrimination. After this decision, segregation spread to consumption sites like restaurants, hotels, and trains. Only after constraints on Black purchasing did constraints on Black voting appear.
  • 1882-85: A Shrinking World. Railroads in the 1880s and 1890s drove not only economic but cultural transformation. Sunday, Nov. 18, 1883, railroad workers and much of the population simultaneously adjusted their watches from local time to one of four standardized time zones created by railroads to ease scheduling. AT&T became the foundation of a national telecom network creating near-instantaneous cross-country communication. West Coast white-labor movement pushed for Chinese immigrant labor exclusion from railroads, resulting in the Chinese Exclusion Act, the first but not last U.S. immigration-restriction law.
Urbanization (1911-29)
  • 1913: The First Chain Store. A&P opened its first “economy” store pushing customers to pay cash in return for lower prices. Chain-store models were imitated, driving down prices everywhere they spread in the 1920s.
  • 1911-13: Stabilizing Capitalism. Frederick Winslow Taylor released his book on efficiently optimizing factory workers. Set the stage for 20th-century management theory. Henry Ford established the assembly line, revolutionizing worker productivity and enabling higher wages through the Five Dollar Day. Federal Reserve attempted to stabilize the U.S. credit and monetary system. 16th Amendment simultaneously allowed national income tax. Beginning of an economy where state and corporation planned for growth and abundance.
  • 1913-24: The Inward Turn. World War I ended a long century of global free trade. Rural America entered a slump lasting until after World War II. 1920 census was the first showing more Americans in towns and cities than countryside. Broad nativist fear of immigrants, and their labor, led to 1921 and 1924 acts creating restrictive quota systems basically eliminating immigration from anywhere but northwest Europe and the New World.
  • 1921: Corporate Innovation for the Industrial Age. Alfred Sloan at General Motors. Multidivisional corporation allowed for the complex bureaucracy necessary to oversee corporate growth in the 20th century.
The New Deal Era (1929-45)
  • 1934: Fair Markets. After the 1929 stock-market crash, the SEC sought to transform free markets into fair markets where insider information would no longer rule. SEC and accompanying public-accounting overhauls, made the U.S. stock market the most stable and growing in history, allowing broad, confident corporate investment.
  • 1931-40: New Deal Finance. Federal Housing Administration created a novel mechanism channeling idle investment capital into a nationwide building spree that became suburbia. This mechanism along with creative tax incentives was replicated throughout the New Deal. Jump-started technical and financial innovation in consumer credit, rural electrification, aluminum mining, and aerospace industry.
  • 1933-35: Organized Labor. National Labor Relations Act became the first enduring foundation for U.S. labor-management relations. Struggles between labor and capital moved from streets to courtrooms, establishing workers’ rights to organize and bargain collectively while creating legal frameworks for resolving disputes. Industrial unions, like the CIO, represent entire workforces at major corporations for the first time.
The Postwar Moment (1945-70)
  • 1941-45: Pax Americana. World War II brought the U.S. out of isolation into the world as a superpower. After a Great Depression decade, policymakers wanted continued government spending to avoid another downturn. This took the form of massive European rebuilding investment, the Marshall Plan. Military spending was seen as protection against a Great Depression return. While permanent standing armies existed since World War I, military spending was now central to both industrial strength and economic prosperity.
  • 1947-50: Industrial Peace. Taft-Hartley Act limited union organizing ability, banning closed shops and secondary strikes, but didn’t roll back many of labor’s key newfound rights. Treaty of Detroit, the 1950 GM-UAW contract, represented a new postwar industrial peace combining rising industrial wages with rising corporate profits.
  • 1955: Franchising America. America’s most beloved food, the hamburger, popularized a new business model, the franchise, when Ray Kroc founded the McDonald’s corporation in 1955. Franchise offered all corporate management advice, branding support and procurement security while still promising small-business independence.
  • 1960s: The Conglomerate. A new corporation form emerged, fueled by management faith and bullish stock markets: the conglomerate. These companies assembled unrelated businesses under single ownership, believing professional management could improve any enterprise. Conglomerate model’s 1969 collapse would set the stage for rethinking the corporation during the 1970s.
  • 1960: Key Moment in Civil Rights. College students in Greensboro, N.C., refused to leave the segregated Woolworth’s lunch counter. Simple demand to spend money spread to other cities, forming a key part of the civil-rights movements’ success by targeting economic discrimination directly.
  • 1962: The Big Box. Quintessential big-box store, Wal-Mart, leveraged containerization, computers and globalization in ways other retailers attempted to imitate–revolutionizing retail through supply-chain efficiency and scale economies.
  • 1963: Equal Pay Act. First step toward eliminating pay inequality between men and women. Actual pay and employment gaps weren’t easily eliminated, but the Act established legal machinery for change.
  • 1964: Second Reconstruction. Just as Jim Crow’s political project began through consumption and work segregation, so too did it end before political segregation ended in the following year’s Civil Rights Act of 1965. 1964 Civil Rights Act forbade discrimination in public spaces while connecting this to hiring freedom from discrimination by establishing the Equal Employment Opportunity Commission.
  • 1964: New Standards for a New Economy. Shipping containers became the railway standard for intermodal transportation, revolutionizing global trade through standardization. International Business Machines’ IBM 360 was the first computer that standardized hardware, which allowed software to be used again and again across installations. Container and the computer set standards that enabled a new globalized, tech-driven economy.
  • 1965: America Reopens. Immigration and Nationality Act of 1965 (Hart-Celler) abolished the longstanding national origins quota system that had favored northern and western Europeans since the 1920s. A new system gave priority to family reunification and skilled labor, unintentionally setting the stage for large-scale immigration from Asia, Latin America, and Africa.
Neoliberalism (1975-2008)
  • 1975: Software Eats the World. Microsoft’s DOS marked software and digital goods emergence more generally. Industrial material age slowly gave way to the postindustrial digital age, transforming how value was created and distributed.
  • 1970: Shareholder Value and the Lean Corporation. Milton Friedman’s 1970 essay “The Social Responsibility of Business is to Increase its Profits” provided the intellectual foundation for the shareholder-value revolution that would transform American capitalism. Friedman argued that corporations had no responsibility beyond maximizing profits for shareholders, rejecting the notion that businesses should serve broader social purposes. Most influential practitioner in Jack Welch at General Electric. Popularized the shareholder value movement by focusing corporate strategy on stock price maximization rather than stakeholder balance.
  • 1978: Cheap Flights and Low Taxes. Airline Deregulation Act ended federal airline price regulation, the beginning of a deregulation flurry enabling market-based overhauls across industries. California passed Proposition 13 limiting home tax increases. Inspired nationwide tax revolt movements. Signaled deep shifts in how Americans understood the value, or lack thereof, of government intervention in the economy.
  • 1980s-91: Deindustrialization and Downsizing. 1970s had brought the closing of many traditional Rust Belt factories. New industrialization of Silicon Valley happened with nonunionized labor forces, whose own factories would close by the end of the 1980s. Office workers were next to take the hit in the 1990s. 1991 recession marked the first time that jobs didn’t return after a recession. Roles were automated away, or increasingly, replaced by temps and consultants.
  • 1994-95: E-Commerce. Jeff Bezos founded Amazon.com in 1994 as an online bookstore. Pierre Omidyar launched eBay in 1995 as an auction site. Transformed retail by eliminating geographic constraints and proving consumers would trust online transactions.
  • 2006: The Cloud. E-commerce transformed retail, but the Cloud transformed everything. Starting with Amazon Web Services in 2006, clouds enabled businesses to run on standardized software and hardware they didn’t need to manage, like factories and farms had shipped on industrial-age railroads. Cloud data centers became some of the economy’s largest energy users.
The Decline of Neoliberalism (2008-Present)
  • 2008: Subprime Mortgage Crisis, Tea Party, Occupy. 2008 subprime-mortgage crisis revealed deregulated capitalism’s limits. Exposed neoliberalism’s core inequality. On both left (Occupy) and right (the tea-party movement), new politics emerged criticizing free-trade economy gains. MAGA politics brought neoliberalism and free trade to an end.
  • 2022: AI Revolution. OpenAI released ChatGPT in 2022. Behind all AI was hardware company Nvidia, founded in 1993, which started making videogame graphics cards. Same calculations required for games were needed for AI. Pure design company outsourcing manufacturing. 21st century hardware is mostly about ideas, not things.

Berkshire Hathaway Near $10 Billion Deal for Occidental’s Petrochemical Unit

  • Warren Buffett’s Berkshire Hathaway is in talks to buy Occidental Petroleum’s petrochemical business for around $10 billion, according to people familiar with the matter
  • Deal would be Berkshire’s largest since 2022
  • Houston-based Occidental is largely known for its oil-and-gas operations. Market value of around $46 billion. Already counts Berkshire as its largest shareholder
  • OxyChem: Occidental’s petrochemical division. Manufactures and sells chemicals for use in applications including chlorinating water, recycling batteries and producing paper
  • OxyChem deal would be Buffet’s second big bet on chemicals
  • In 2011, Berkshire acquired specialty-chemicals producer, Lubrizol, for close to $10 billion, including debt. Emphasize durable competitive advantage, predictable earnings, and strong management
  • Strategic motive: Stable cash flows / predictability. Lubrizol operates in specialty chemicals, particularly additives (for engines, industrial uses, etc.), which tend to have less volatile demand compared to raw commodity chemicals. “Predictable and proven earnings” was a key factor
  • Industry leadership and differentiated products: Lubrizol was a global leader in several application areas (lubricant additives, specialty resins, etc.), giving it pricing power and technological differentiation. Buffett himself praised it as “exactly the sort of company with which we love to partner–the global leader in several market applications”
  • Fit with Berkshire’s capital deployment needs: Berkshire had accumulated large cash reserves and was seeking large-scale acquisitions
  • Minimal disruption / keeping management autonomy: Berkshire often acquires companies that can operate relatively autonomously. Berkshire didn’t overhaul management; it trusted Lubrizol’s existing team to carry on, subject to the standard expectations of performance
  • Long-term growth opportunities in “cleaner” transportation / regulation-driven demand: Analysts cited expectation of rising demand for cleaner-burning engines and higher regulatory standards for emissions, favoring specialty additive businesses
  • Diversification into chemical / industrial sectors: Berkshire had relatively little direct exposure to the specialty chemicals space prior to Lubrizol. Broadened its industrial portfolio
  • Oxychem is a significant unit of Occidental. Sale would be part of Occidental’s drive to reduce its heavy debt burden (stemming from prior large acquisitions like Anadarko and CrownRock)
  • Berkshire already holds a ~27% stake in Occidental’s equity. Closer inside view and possibly better negotiating leverage
  • Strategic motive: Chemical / industrial diversification. Cash deployment / using dry powder. Leverage on existing relationship / intelligence advantage. Debt reduction for Occidental. Scale & synergies. Strategic control in chemical value chain. Timing and bargain opportunity.
  • Buffett agreed to buy $10 billion of preferred shares in Occidental to bolster her $38 billion offer
  • Occidental’s fortunes have waxed and waned since then. Saddled the company with debt and attracted criticism from activist investor Carl Icahn
  • Buffett doubled down, eventually buying up roughly 28% of its shares
  • Company’s shares more recently have come under pressure with oil prices lower
  • Occidental has been selling noncore assets to raise cash to pay down debt