Probabilistic Thinking: Reasoning Under Uncertainty With Bayesian Logic
You make thousands of decisions under uncertainty every year — and most of them wrong, for a specific and fixable reason.
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Calibration Test: How Well-Calibrated Are Your Predictions?
A 20-scenario, evidence-based self-reflection across five dimensions of probabilistic thinking – confidence calibration, base-rate use, outside-view discipline, belief updating, and overconfidence patterns – to surface where systematic biases are shaping your decisions.
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90-Day Probabilistic Thinking Protocol: Build Bayesian Intuition
A 90-day programme in calibrated reasoning and probability estimation
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The Overconfidence Effect: Why Experts Are Wrong More Often Than They Think
The science of overconfidence bias: experts at 98% confidence are right 68% of the time. Research on why certainty fails and how to calibrate judgment.
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The Placebo Effect: The Neuroscience of How Belief Physically Changes Biology
The neuroscience of the placebo effect: how expectation activates opioids, dopamine, and endocannabinoids to produce measurable biological change. 52 sources.
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Bayes’ Theorem: Definition and How to Update Beliefs in Light of Evidence
Bayes’ theorem is a rule for revising probability estimates in light of new evidence. Learn the formula, base-rate neglect, and how to apply it.
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Prospect Theory: Kahneman & Tversky’s Definition of How Humans Actually Weigh Probability
Prospect theory describes how people evaluate outcomes relative to a reference point, with losses weighing roughly twice as heavily as equivalent gains.
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Antifragility: Taleb’s Definition and Why Some Things Gain From Disorder
Antifragility is the property of gaining capability from disorder, not just surviving it. Taleb’s framework for systems that improve under stress.
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Black Swan: Taleb’s Definition and the High-Impact Unpredictable Event
A black swan is a rare, high-impact event outside normal probability models, rationalised as foreseeable only in hindsight. Coined by Nassim Taleb.
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Expected Value: Definition and the Probabilistic Decision Rule
Expected value is the probability-weighted average of possible outcomes. The EV formula, how cognitive biases distort it, and professional applications.
