Size the bet
Framing tells you what the decision is. Sizing tells you how much certainty to demand before you make it. The answer is rarely "as much as possible" — that is just a slower way of deciding, and delay has its own cost.
First, size the response
- Trivial — cheap to undo, small blast radius. Give the recommendation and the one thing that would change it. No table, no ceremony.
- Moderate — classify reversibility, name the stakes, surface alternatives, give a bet size.
- Consequential — everything below, including backcasting and the strongest counterargument, written to the bet file.
Confidence, with its basis
State how confident you are and immediately what that rests on. A confidence with no basis is decoration.
Never invent a percentage. "70%" implies you could be calibrated at 70%, and for most decisions nothing supports that. Prefer plain words with the evidence attached: "low — this rests entirely on one customer conversation" says more than any number. Use a number only when something real backs it: a base rate, a measurement, a track record over enough similar cases to mean something.
Take the outside view. Before reasoning from the specifics of this case, ask what usually happens in cases like it. Most migrations overrun. Most senior hires take longer to find than planned. Most features are used less than predicted. The inside view — the detailed story about why this time is different — is exactly the story everyone tells, and it is usually wrong. If your estimate departs sharply from the base rate, say what justifies the departure.
The wager test. Ask what you would actually bet on this at even odds. The question is uncomfortable in a useful way: people who say they are "pretty sure" often discover at £500 that they are not. Use it on yourself too.
Stakes
What happens if this is wrong, and who absorbs it. Cover the ones that apply: downside and its shape, upside, blast radius, opportunity cost, money, time, reputation, customers, safety or security, and — routinely forgotten — the cost of not deciding yet. Delay is a choice with a price.
The asymmetry usually matters more than the magnitude. A decision with a small expected loss but a catastrophic tail is a different animal from one with a steady moderate downside.
Reversibility
- Easy — undo cheaply, little trace. Most code, most copy, most pricing experiments.
- Moderate — real rework, recoverable. Schema changes with data in them, team restructures, vendor switches inside a year.
- Hard — expensive, slow, or genuinely one-way. Public API contracts, most hires and fires, acquisitions, anything that leaks into customer habits or the outside world's expectations.
Reversibility sets the evidence bar. Easy decisions do not deserve investigation; they deserve to be made and observed.
Alternatives
At least two real ones, and include one with more upside than the obvious choice — the option someone would pick if they were less worried about looking wrong. Present them before your recommendation. Leading with the answer anchors everyone to it, including you.
"Do nothing yet" is an alternative and often a good one. Say what it costs.
The sizing heuristic
| Confidence | Downside | Reversibility | Move |
|---|---|---|---|
| High | Low | High | Proceed |
| Low | Low | High | Try it and watch — the trial is cheaper than the analysis |
| Low | High | Low | Investigate before committing |
| High | High | Low | Seek disconfirming evidence, then commit deliberately |
Note the last row. At the highest stakes the instinct is to gather support for the answer you already like. Do the opposite: go looking for what would prove you wrong. If it does not turn up, commit with more warrant than you had.
This is a reasoning aid, not arithmetic. Cells not listed are judgment.
Backcasting
For anything hard to reverse, run this before recommending: it is a year from now and this went badly. What happened?
Write the failure as a story with a cause, not a risk-register line. "Adoption was lower than expected" is useless. "We shipped it, three customers tried it, the setup took an afternoon each, and word got round that it was not worth the afternoon" is a failure you can design against. Prospective hindsight surfaces failure paths that a risks list does not, because it forces a mechanism.
Then ask which of those paths you could cheaply detect early. Those become update criteria.
What this skill gets wrong
- False precision. You will be tempted to produce numbers because they look rigorous. They look rigorous to the user too, which is the danger.
- Agreeing with the framing's implied answer. If the framing leans towards an option, you will lean with it. Check whether the alternatives are real or decorative — if two of the three options are obviously bad, you built a justification, not a comparison.
- Treating your own reasoning as the evidence. A well-argued case for an option is not evidence that the option is right.
- Reversibility optimism. Things are usually harder to undo than they look, because the cost is rarely the technical rollback — it is the habits, the contracts, and the expectations built on top.
The bet record
A bet is one markdown file. Every skill in this pack reads and appends to the same file, so a decision framed today can be reviewed honestly months later.
Where it lives. To create a bet, resolve in order: a path given in the
request; a bets/ directory that already exists in the current project;
otherwise ~/bets/. Never create a bets/ directory in a project that does
not already have one — write to ~/bets/, or ask. To find an existing bet,
search both the project directory and ~/bets/; if the slug is missing or
matches more than one file, say what you found and ask rather than guessing.
~/bets/ is a literal default. This pack ships no configuration surface, so
changing it means editing this line in your installed copy.
Filename. YYYY-MM-DD-<slug>.md, slug kebab-cased from the decision.
Frontmatter.
---
bet: One line naming the decision
status: open # open | committed | resolved | abandoned
created: 2026-09-03
revisit_by: 2026-12-01 # check on this date even if nothing has happened
confidence: low # low | medium | high — state the basis in the body
reversibility: hard # easy | moderate | hard
update_criteria:
- Something you would actually recognise if you saw it
---
A bet reaches resolved when the outcome is known, or abandoned when the
decision stopped mattering. Only bet-review sets resolved.
Append, never rewrite. Each skill adds a dated section at the end,
## <skill-name> — YYYY-MM-DD. Do not edit or delete an earlier section. When
a belief is superseded, leave it and mark it in place:
We can absorb the migration in one sprint— superseded 2026-10-04, see the bet-update section below.
The file is worth keeping because it records what was believed before the outcome was known. Rewriting it destroys the only thing it is for.
Finding open bets. There is no index — the frontmatter is the query surface, so it cannot go stale:
grep -rl 'status: open' ~/bets/ ./bets/ 2>/dev/null
grep -rh 'revisit_by:' ~/bets/ ./bets/ 2>/dev/null | sort
Output
Confidence with its basis; the stakes that matter; reversibility; the
alternatives; the bet size and what it implies — proceed, experiment via
bet-experiment, or investigate further. Append to the bet file when one
exists.
References
references/stakes.md— the stakes checklist, including cost of delay.references/calibration.md— outside view, base rates, and the wager test.