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Coincidences: A fundamental consequence of rational cognition

By Thomas L. Griffiths and Joshua B. Tenenbaum · Study

Type
Study
By
Thomas L. Griffiths and Joshua B. Tenenbaum
Journal
New Ideas in Psychology
Source
New Ideas in Psychology ↗
Published
2015

A landmark paper showing that coincidence judgments fall directly out of rational Bayesian inference — the brain treats improbable matches as evidence for hidden causes.

Thomas Griffiths and Joshua Tenenbaum are two of the most influential cognitive scientists of their generation, and their 2015 paper in New Ideas in Psychology made a provocative claim: coincidence judgments fall directly out of rational inference. A brain that weighs evidence properly will treat an improbable match as a reason to suspect a hidden cause.

That reframing is the paper's lasting contribution. Experiencing coincidence is not a glitch in a well-working mind — it is what a well-working mind is supposed to do. It leaves the question of what, if anything, the coincidence signals entirely open, while dismantling the idea that the feeling itself is irrational.

In plain language

Coincidences happen when our brains make connections between unlikely events, and this is actually a normal part of thinking. Instead of seeing coincidences as mistakes, they should be viewed as signs that our brains are working well. The study suggests that feeling like something is connected doesn't mean we're thinking irrationally; it just means our minds are trying to find meaning in what we experience.

Coincidences are a fundamental consequence of rational cognition.
— Thomas L. Griffiths and Joshua B. Tenenbaum

The meaning

It shows the experience of meaningful coincidence is a feature of a well-working mind, not a glitch — which leaves room for the question of what, if anything, it signals.

The skeptic

The paper demonstrates that finding coincidence meaningful requires no paranormal mechanism at all: it is what a rational mind is supposed to do.

About the research

Cognitive scientists (Princeton and MIT) who model how the mind reasons about probability and surprise.

Key takeaways

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