--- title: The effect distribution: The missing piece in... description: Experimentation programs can appear rigorous while still producing misleading results if teams ignore the effect distribution — the distribution of true... canonical: https://daily.dev/posts/the-effect-distribution-the-missing-piece-in-experimentation-programs-oxdrblabh twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: The effect distribution: The missing piece in experimentation programs | daily.dev og:description: Experimentation programs can appear rigorous while still producing misleading results if teams ignore the effect distribution — the distribution of true... og:url: https://daily.dev/posts/the-effect-distribution-the-missing-piece-in-experimentation-programs-oxdrblabh og:image: https://api.daily.dev/og/posts/OxDRBLaBH.png og:image:alt: The effect distribution: The missing piece in experimentation programs 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. # The effect distribution: The missing piece in experimentation programs **[Datadog](https://daily.dev/sources/datadog)** · 8 min read · 0 upvotes · 0 comments ## Summary Experimentation programs can appear rigorous while still producing misleading results if teams ignore the effect distribution — the distribution of true effects across all experiments. When only 5% of experiments show significance, that matches the false positive rate alone, meaning every win could be noise. The post explains how observed effects overestimate true effects due to sampling error, introduces the Expected Value of Sample Information (EVSI) framework to quantify what experiments are actually worth, and shows how estimating separate effect distributions per product category can guide resource allocation. References to Netflix's work on optimal p-value thresholds and the A/B Testing Intuition Busters paper round out the strategic framing. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Why Most A/B Tests Are Lying to You](https://daily.dev/posts/why-most-a-b-tests-are-lying-to-you-qelwpywxf) · Towards Data Science · 0 upvotes · 0 comments - [Two ways to measure the cumulative impact of experiments](https://daily.dev/posts/two-ways-to-measure-the-cumulative-impact-of-experiments-3tqdh1srd) · Datadog · 0 upvotes · 0 comments --- Tags: [#devops](https://daily.dev/tags/devops), [#ab-testing](https://daily.dev/tags/ab-testing), [#statistical-analysis](https://daily.dev/tags/statistical-analysis) [View this post on daily.dev](https://daily.dev/posts/the-effect-distribution-the-missing-piece-in-experimentation-programs-oxdrblabh) ```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":"The effect distribution: The missing piece in experimentation programs","url":"https://daily.dev/posts/the-effect-distribution-the-missing-piece-in-experimentation-programs-oxdrblabh","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/the-effect-distribution-the-missing-piece-in-experimentation-programs-oxdrblabh"},"datePublished":"2026-07-10T17:34:45.435Z","dateModified":"2026-07-10T17:35:15.583Z","description":"Experimentation programs can appear rigorous while still producing misleading results if teams ignore the effect distribution — the distribution of true...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/9d9e93d954a344febff0985332d5346d?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/9d9e93d954a344febff0985332d5346d?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Datadog","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Datadog","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/8f9d7e3e4bd64bd7b9db9b2ea83e0c6a","url":"https://daily.dev/sources/datadog"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/the-effect-distribution-the-missing-piece-in-experimentation-programs-oxdrblabh","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"devops,ab-testing,statistical-analysis","timeRequired":"PT8M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Datadog","item":"https://daily.dev/sources/datadog"},{"@type":"ListItem","position":3,"name":"The effect distribution: The missing piece in experimentation programs"}]} ```