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title: RookLift | daily.dev
description: A developer built a custom Garmin watch app to predict cognitive performance using chess ELO fluctuations as a proxy for mental clarity. Using logistic...
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og:title: RookLift | daily.dev
og:description: A developer built a custom Garmin watch app to predict cognitive performance using chess ELO fluctuations as a proxy for mental clarity. Using logistic...
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# RookLift

**[Hacker News](https://daily.dev/sources/hn)** · 5 min read · 0 upvotes · 0 comments

## Summary

A developer built a custom Garmin watch app to predict cognitive performance using chess ELO fluctuations as a proxy for mental clarity. Using logistic regression on 1.5 years of sleep and exercise data, they achieved 60% prediction accuracy and discovered counterintuitive findings: REM sleep and moderate stress positively correlated with performance, while recent exercise and deep sleep showed negative or no correlation. The custom model often contradicts Garmin's built-in metrics, leading to behavioral changes like reducing alcohol for better REM sleep and scheduling cognitively demanding tasks based on daily predictions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://dmvaldman.github.io/rooklift/>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science)

[View this post on daily.dev](https://daily.dev/posts/rooklift-wd4av0aef)

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