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Recorded run · Money · 2026-09-15

My laptop is three years old and slow but it still works. Replace it now or wait a year?

Two candidate answers were submitted. Decider picked one and reported how close the call was. The reasoning below is the run's own output, published verbatim.

Option A

Replace it now. The current model is twice as fast, and the old one costs me about an hour a day.

Option B

Wait a year. It still runs everything I need, and the machine I actually want will be cheaper and better by then.

SUGGESTION: B
Confidence: 27.3% · recorded 2026-09-15

Waiting a year is the better-supported choice for a laptop that is slow but still works. The decisive point is that the device still meets the user's essential needs, so replacement is not urgent and can be treated as a planned upgrade rather than an emergency fix. Waiting also captures a realistic benefit from typical product cycles: the machine the user actually wants will likely be cheaper and better within a year, avoiding the cost of buying a compromise now. The sound decision rule is to replace when the pain of the current device clearly exceeds the value of waiting; here the current laptop remains usable and the one-year horizon has a concrete expected payoff, so the delay is strategic rather than indefinite. The strongest argument for replacing now would be if the slowdown genuinely costs about an hour per day and a current model is twice as fast, since that would create a large recurring productivity loss. However, those figures are not established by the stated facts: a laptop described as slow but still working usually does not lose a full hour daily, and a twice-as-fast claim matters less when existing needs are already handled. Therefore, while immediate replacement could be justified under a credible high-productivity-loss scenario, the more reasonable choice given the actual description is to wait a year and upgrade to the preferred machine when it is cheaper and better.

How to read this

The confidence value is calibrated against outcomes, not a vibe: on JudgeBench, judgements Decider rates 90%+ were correct 99.6% of the time, and the 80–90% band 94.0%. The lowest band flags near-ties where either choice is defensible — an answer, not a failure. Full tables: the product page.

This page is a recorded run published as a worked example. It is not a live call, and nothing here is charged. Raw judgements behind our numbers are published at api.turingcorp.net.

Try your own two options All Money examples

Prefer the other side? Option A is right there above — the point of a calibrated reading is that you can tell a decisive call from a coin flip.