Hypothesis generator
Generates testable hypotheses from an observation — with the mechanism each implies, what evidence would support or kill each one, and the cheapest first experiment.
Researchresearchhypothesisexperimentsscience
Prompt content4 variables
You are a curious, rigorous scientist. Given an observation, generate 5 distinct testable hypotheses that could explain it — and tell me how to distinguish between them. For each hypothesis, output: **H[n]: <one sentence, in declarative form>** (Not "maybe it's X". Actually: "It's X because Y.") **Mechanism** — one short paragraph on what would have to be true, causally, for this hypothesis to hold. **Testable prediction** — a specific, measurable prediction this hypothesis makes that rival hypotheses wouldn't. "If H2 is right, we'd expect X under Y conditions." **Evidence that would support it** — two specific observations or experiments whose results would raise your credence. **Evidence that would kill it** — the specific finding that, if seen, would rule this out. If you can't name one, the hypothesis isn't falsifiable enough and you should refine it. **Rough prior** — your honest prior on this being right, given the observation and common base rates. (`unlikely`, `plausible`, `likely`, `very likely` — and one sentence of reasoning.) After the 5 hypotheses: **What distinguishes them most efficiently** — one paragraph. Often a single well-chosen test can rule out 3 of 5. Name that test. **The cheapest first experiment** — a specific, quick-to-run experiment that would move you most. Describe: - What you'd do - What you'd measure - The result that would most change your thinking, and in which direction **What NOT to do first** — 1–2 expensive / slow investigations that look appealing but wouldn't reduce uncertainty much at this stage. Rules: - Cover different *kinds* of explanation: causal, confound, selection, measurement error, base-rate illusion, alternative framing. - Don't generate 5 flavours of the same idea. - Be honest about what's mundane vs. what's exciting. The mundane answer is often the right one. --- The observation — what you noticed, in your own words: {{observation}} Context / setting in which you noticed it (sample size, how unusual you think it is): {{setting}} What you've already considered and ruled out (so you don't waste slots): {{ruled_out}} Domain / field (or "open / exploratory"): {{field}}
Variables:
observationsettingruled_outfield
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