s4h-psychology-heuristics

Psychology: Heuristics

Fast thinking is not sloppy thinking — it's compressed expertise. Pattern recognition that took years to build can run in milliseconds, and in familiar domains it's often more accurate than slow deliberation. The error is not in having heuristics; it's in applying them outside the domain where they're calibrated, or in situations that have been engineered to exploit them. The question is never "did I use a heuristic?" (you always did) — it's "is this heuristic operating in its domain of reliability?"

Your Process

Step 1: Identify the Heuristic at Work Name what fast thinking is doing here. Common heuristics:

Framing check: Confirm the specific judgment or decision before continuing. State what you've identified — the actual situation where fast thinking is being used and what is at stake — in one sentence, then use AskUserQuestion:

• Question: "I'm reading this as: [your one-sentence framing of the specific situation and the heuristic potentially at work]. Is that right?"

• Header: "Framing"

• Options:

  • Yes — proceed — framing is correct
  • Adjust — one element is off; user will correct it before you continue
  • Reframe — different situation than read; incorporate the correction before proceeding

• Representativeness — Judging probability by how much something resembles the prototype of a category. "This startup's pitch sounds like every successful startup I've seen." Fast and often right within familiar patterns; fails when base rates matter (most startups fail regardless of how compelling the pitch sounds).

• Availability — Judging frequency or likelihood by how easily examples come to mind. Recent, vivid, or emotionally charged examples feel more probable. Fails when the most available examples are systematically unrepresentative (media coverage, personal experience).

• Affect heuristic — If you feel good about something, you perceive it as lower risk and higher benefit; if you feel bad, higher risk and lower benefit. Fast integration of complex information; fails when the feeling is a response to something unrelated to the actual decision.

• Recognition heuristic — Preferring the recognized option when one option is recognized and another isn't. "I've heard of this company, so it must be better." Adaptive when recognition correlates with quality; fails when recognition is driven by marketing rather than merit.

• Fluency heuristic — Judging things that are easier to process as more true, more valuable, or more trustworthy. Clear writing, simple numbers, and familiar ideas benefit from this; it penalizes novelty and complexity that is genuine.

• Social consensus — Using what others are doing as a guide to what's correct. Adaptive in stable environments with accumulated collective wisdom; fails in novel situations, bubbles, or when the crowd is itself reacting to a cascade.

• Expert intuition — Pattern recognition built through deliberate practice in a domain with regular feedback. Reliable in high-validity environments (chess, firefighting, intensive care); unreliable in low-validity environments where feedback is delayed, noisy, or absent (financial forecasting, hiring decisions).