⇩ Markdown

Anchoring Bias

Anchoring bias is the tendency to rely too heavily on the first piece of information offered (the "anchor") when making decisions. Once an anchor is set, subsequent judgments are made by adjusting away from that anchor — but the adjustments are usually insufficient.

Examples

Anchoring connects to Probabilistic Thinking because accurate probability estimates require you to start from Base Rates, not from whatever number happens to be salient. It's also why Inversion is valuable — inverting the problem gives you a second anchor point to triangulate from.

See also: Cognitive Biases for the broader landscape of systematic reasoning errors.

Prompts

How does Anchoring Bias distort decision-making? The first piece of information encountered (the "anchor") disproportionately influences subsequent judgments, even when adjustments are made. Why is Inversion valuable as a counter to Anchoring Bias? Inverting the problem gives you a second anchor point to triangulate from.

tag--flashcards--mental-models