This Bitcoin Investment Strategy Changes Everything | Jeff Park

— Intelligent investing versus ideological investing: The traditional value-investing framework built on the Washington Consensus and risk-free rates no longer applies in a world where geopolitical considerations and state sovereignty now dominate market dynamics.

— Radical portfolio theory: Moving beyond 60-40 bond-equity allocation toward "resistance assets" (Bitcoin, gold, scarce assets) that are not subject to institutional financialization and manufactured liquidity.

— Prediction markets as asymmetric opportunities: These platforms enable individuals to bet on fat-tail, improbable outcomes that AI cannot fully front-run, offering uncorrelated returns of 8–12% regardless of macro conditions.

— Bitcoin treasury companies and endogenous yield: Operating entities that use Bitcoin as the unit of account and generate native Bitcoin returns through mining, options strategies, and network activity rather than leverage alone.

— MicroStrategy preferred equity trade: STRD preferreds trade at a 30-point spread despite identical bankruptcy status; the market misprices them due to retail dominance and failure to adjust for dividends at ex-date.

— Portfolio construction and fat-tail exposure: Investors should over-index to improbable outcomes and develop probabilistic thinking rather than binary views to navigate heightened geopolitical and technological uncertainty.

— Consider STRD preferreds on MicroStrategy ahead of the ex-dividend date (Monday following interview): The security yields double digits and historically does not drop by the full dividend amount at ex-date due to retail participation; potential gain from dividend capture plus principal appreciation if Fed rate cuts compress yields.

— Build portfolio exposure to "resistance assets" and fat-tail bets: Allocate 10% to uncorrelated prediction-market traders or scarce assets (Bitcoin, gold, IP tokenization) that generate returns disconnected from macro or equity markets and capture improbable outcomes AI cannot predict.

— Shift mental model from certainty to probabilistic thinking: Embrace the view that geopolitical upheaval, AI acceleration, and ideological polarization create a distribution of outcomes far wider than historical models suggest; over-weight to positions that profit from unlikely but high-impact scenarios.