Confirmation Bias and the Narrative Fallacy

We scour the world for evidence confirming our existing beliefs (confirmation bias) and ignore disconfirming evidence. This is hardwired into human cognition, not a correctable error.

The narrative fallacy: our compulsion to fit a neat story to a sequence of disconnected facts. We cannot look at a series of events without imposing a causal explanation that makes them appear inevitable.

The Wason selection task (1966) demonstrates that fewer than 10% of subjects can correctly identify which cards to turn over to test a conditional rule, revealing a deep human tendency toward confirmation rather than falsification.

The narrative fallacy is the human tendency to construct post-hoc causal stories from sequences of facts, making random or unpredictable events seem inevitable in retrospect. This connects to Kahneman's System 1 (fast, narrative-driven) vs System 2 (slow, analytical) thinking.

After major events like 9/11 or the 2008 financial crisis, experts routinely constructed post-hoc narratives claiming the events were 'predictable,' despite having failed to predict them beforehand.

Confirmation bias leads people to seek information that supports their existing beliefs while ignoring contradictory evidence. Wason's 2-4-6 task (1960) demonstrated that subjects overwhelmingly test confirming rather than disconfirming examples.

Historical events that seemed random or surprising at the time -- the rise of the internet, the fall of the Soviet Union, the success of Google -- are routinely explained as 'inevitable' by historians after the fact, exemplifying the narrative fallacy.

People compress complex causal chains into simple stories. The brain is wired for narrative -- we remember stories better than statistics, and we instinctively assign causation to correlated events (post hoc ergo propter hoc).