Confirmation Bias

Type: Information — Selection Also Known As: Myside bias, confirmatory bias


Definition

Seeking, interpreting, and remembering information in ways that confirm pre-existing beliefs while ignoring or dismissing contradictory evidence. We see what we expect to see.

“I knew the project would fail — look at all these problems I’m finding.”


Form

  1. A belief or hypothesis is formed
  2. Information is selectively sought that supports it
  3. Contradictory information is ignored or discounted
  4. Ambiguous information is interpreted as confirming
  5. Belief becomes stronger regardless of evidence

Examples

Example 1: Political Beliefs

A person convinced their preferred candidate is honest dismisses corruption allegations as “political attacks” while accepting unverified positive claims uncritically.

Problem: The same evidence standard applied differently based on bias.

Example 2: Medical Diagnosis

A doctor convinced a patient has anxiety interprets physical symptoms as psychosomatic, missing an underlying autoimmune condition.

Problem: The anxiety diagnosis created a confirmation trap.

Example 3: Investment Decisions

An investor bullish on crypto celebrates price increases as validation while explaining away drops as “temporary corrections.”

Problem: Contradictory data never actually registers as falsification.

Example 4: Relationship Judgments

“I knew they were selfish — look, they didn’t hold the door.” One action confirms a character judgment; previous helpful acts are forgotten.

Problem: Memory itself becomes selective to maintain the narrative.


Why It Happens

  • Cognitive dissonance is uncomfortable
  • Changing beliefs requires mental effort
  • Ego protection — admitting error feels like failure
  • We prefer coherent narratives over messy reality
  • Evolution favored quick commitment over perpetual uncertainty

How to Counter

  1. Seek falsification: Actively look for disconfirming evidence
  2. Devil’s advocate: Seriously argue the opposite position
  3. Bayesian thinking: Update beliefs incrementally with evidence
  4. Premortem: Assume you’re wrong — what would explain it?
  5. Diverse inputs: Follow sources that challenge your views

When It’s NOT a Bias

Focusing on confirmatory evidence IS valid when:

  • Testing requires specific positive results (scientific method)
  • Practical constraints limit investigation scope
  • The hypothesis has extremely high prior probability
  • Seeking disconfirmation is dangerous or impossible


References

  • Nickerson, R.S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises
  • Klayman, J. & Ha, Y.W. (1987). Confirmation, disconfirmation, and information in hypothesis testing
  • Lord, C.G. et al. (1979). Biased assimilation and attitude polarization

Part of the Convergence Protocol — Clear thinking for complex times.