What is Vibe Science?

Vibe Science is the applied study of how weak human signals and machine inference become validated decisions under uncertainty. It formalizes the discipline between intuition and metrics using the VSV (Vibe → Signal → Validation) loop.

What is the VSV Loop?

The VSV Loop is a three-phase methodology: Vibe (human perception, intuition, discomfort, excitement), Signal (weak data amplified by machines), and Validation (structured experiments, often co-designed with AI). The novelty is that machines enter before certainty, not after.

How is a Vibe Scientist different from a Vibe Coder?

Vibe Coding is tactical prototyping. Vibe Science is systems-level inquiry. A Vibe Scientist designs and validates hypotheses at the boundary between human intuition and machine inference — creating probes, instruments, simulations, and falsifiable narratives.

Who is already doing vibe science work?

Many existing roles already practice aspects of vibe science: Chief Product Officers synthesizing weak signals, CTOs making architectural bets under uncertainty, Heads of Design holding ambiguity, Chiefs of Staff detecting organizational drift, UX Researchers clustering qualitative data, and early-stage founders operating on pattern recognition daily.

Field Notes

2026-07-18

Killing an idea is a result

In every review deck I have seen this year, the killed ideas are missing. They are not framed as losses — they are simply absent. What survives is a curated slide of shipped features and dashboards trending up-and-to-the-right. The graveyard is unmarked.

This is not a documentation problem. It is a definition problem. If killing an idea does not count as a result, then teams have no incentive to kill quickly, and no way to compound the judgment that killing well requires. Every deprecated bet is treated as a small embarrassment instead of a small experiment that returned useful information.

The correction is small and unromantic: write the kill criterion at the same time you write the hypothesis, in the same document, in the same session. Not later. Later never happens. If you cannot describe the observation that would make you stop, you are not running an experiment — you are financing an opinion.

The teams that ship best are not the teams that pick correctly more often. They are the teams that abandon incorrectly faster, and can prove — from their own notes — why.

falsifiabilitydecision hygiene