Weaver and Bayesian Wisdom

Long-horizon thinking and evidence · 11 October 2026 · Zachariah Roydel Robertson

Graham Weaver, a lecturer at Stanford Graduate School of Business and founder of Alpine Investors, argues for deliberate long-horizon decision-making grounded in Bayesian reasoning: make bold bets on what you believe matters, then update your beliefs as evidence arrives.

This philosophy draws together scientists, statisticians, economists and philosophers who taught that the world is knowable through careful observation, that uncertainty can be quantified, and that the best decisions integrate theory with evidence over time.

The lineage

• Leonardo da Vinci (1452–1519): First-principles inquiry

• Thomas Bayes (1701–1761): Belief updated by evidence

• Michael Faraday (1791–1867): Experiment and discovery

• James Clerk Maxwell (1831–1879): Electricity, magnetism and light unified

• Josiah Willard Gibbs (1839–1903): Systems and equilibrium

• Arthur Pigou (1877–1959): Collective welfare

• Ronald Coase (1910–2013): Transaction costs

• Daniel Kahneman (1934–2024): Bias and judgement

• Judea Pearl (b. 1936): Causal inference

• Nassim Taleb (b. 1960): Black swans and robustness

• Tony Robbins (b. 1960): Peak performance

• Graham Weaver (Contemporary): Long-horizon thinking

The core thread

The world is knowable through observation. Uncertainty is quantifiable. The best decisions integrate theory with evidence, are updated in light of new information, and are pursued with long-horizon commitment.