--- title: False Discovery Rates, FDR, clearly explained | daily.dev description: A clear explanation of False Discovery Rates (FDR) and the Benjamini-Hochberg method, motivated by the problem of multiple testing in genomics. When comparing... canonical: https://daily.dev/posts/false-discovery-rates-fdr-clearly-explained-agzdjm8nf twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: False Discovery Rates, FDR, clearly explained | daily.dev og:description: A clear explanation of False Discovery Rates (FDR) and the Benjamini-Hochberg method, motivated by the problem of multiple testing in genomics. When comparing... og:url: https://daily.dev/posts/false-discovery-rates-fdr-clearly-explained-agzdjm8nf og:image: https://api.daily.dev/og/posts/agZDJM8NF.png og:image:alt: False Discovery Rates, FDR, clearly explained og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # False Discovery Rates, FDR, clearly explained **[StatQuest with Josh Starmer](https://daily.dev/sources/statquest)** · 18 min read · 0 upvotes · 0 comments ## Summary A clear explanation of False Discovery Rates (FDR) and the Benjamini-Hochberg method, motivated by the problem of multiple testing in genomics. When comparing 10,000 genes simultaneously, a 5% significance threshold yields ~500 false positives. The video explains how P-values distribute uniformly under the null hypothesis versus skewing toward zero when a true effect exists, then walks through the Benjamini-Hochberg algorithm step-by-step: rank P-values, compute adjusted values as min(previous adjusted P, current P × total tests / rank), and use an FDR threshold of 0.05 to ensure fewer than 5% of significant results are false positives. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Bonferroni vs. Benjamini-Hochberg: Choosing Your P-Value Correction](https://daily.dev/posts/bonferroni-vs-benjamini-hochberg-choosing-your-p-value-correction-u2dkiejyb) · Towards Data Science · 1 upvotes · 0 comments - [What Does the p-value Even Mean?](https://daily.dev/posts/what-does-the-p-value-even-mean--pgpusb6nm) · Towards Data Science · 0 upvotes · 0 comments - [Distribution of p-values under the null hypothesis for discrete data by @ellis2013nz](https://daily.dev/posts/distribution-of-p-values-under-the-null-hypothesis-for-discrete-data-by-ellis2013nz-rmlmjzusq) · R-bloggers · 0 upvotes · 0 comments - [The effect distribution: The missing piece in experimentation programs](https://daily.dev/posts/the-effect-distribution-the-missing-piece-in-experimentation-programs-oxdrblabh) · Datadog · 0 upvotes · 0 comments - [Stop Calling the First Significant Day a Win](https://daily.dev/posts/stop-calling-the-first-significant-day-a-win-u17yzbxeg) · Towards Data Science · 0 upvotes · 0 comments --- Tags: [#statistics](https://daily.dev/tags/statistics), [#biotech](https://daily.dev/tags/biotech) [View this post on daily.dev](https://daily.dev/posts/false-discovery-rates-fdr-clearly-explained-agzdjm8nf) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"False Discovery Rates, FDR, clearly explained","url":"https://daily.dev/posts/false-discovery-rates-fdr-clearly-explained-agzdjm8nf","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/false-discovery-rates-fdr-clearly-explained-agzdjm8nf"},"datePublished":"2026-06-08T15:16:57.212Z","dateModified":"2026-06-08T15:17:16.496Z","description":"A clear explanation of False Discovery Rates (FDR) and the Benjamini-Hochberg method, motivated by the problem of multiple testing in genomics. 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