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Benjamin Bloom’s 2 Sigma Problem is one of the most repeated claims in education: that one-to-one tutoring can lift achievement by two standard deviations, shifting a typical student from the 50th to the 98th percentile. In this video, I explain why that headline claim does not survive careful scrutiny. I work directly through what Bloom (1984) wrote and, crucially, what his claim was built on. The “2 sigma” conclusion rests heavily on two very small studies conducted by two of Bloom’s graduate students in the early 1980s, plus a highly selective and error-prone table of effect sizes drawn from earlier summaries. The result is a story that sounds like the holy grail of education, but is far less solid than it is usually presented. After laying out Bloom’s argument, I walk through why we should be sceptical, using Paul von Hippel’s (2024) careful data sleuthing alongside broader, higher-quality evidence. I show how the 2 sigma claim became so sticky in education (and AI) circles, and why it conflicts with what the wider research literature actually shows. Finally, I contrast Bloom’s claim with the mainstream evidence from large syntheses and meta-analyses that show tutoring effects are real and meaningful, but they are typically closer to about 0.3 to 0.4 standard deviations on average, and often smaller on broader standardised measures. CHAPTERS 00:00 The “2 Sigma” problem (in Bloom’s own words) 02:52 Bloom’s core evidence from two graduate dissertations 05:47 Many problems with Blooms’ data 07:15 von Hippel’s data sleuthing: what the studies really did 12:25 What meta-analyses find: ~0.3 to 0.4 SD, not 2.0 SD (6 to 8 tomes smaller) 13:37 Why Sal Khan and many others were fooled: A fake figure and cherry-picked secondary sources 16:00 Unconvinced doctoral students? What this means for “AI tutors will solve 2σ” claims 17:10 Many major confounding variables 23:30 Is the 2 Sigma Problem Real? 25:40 What actually works and wrap up Key References: The most recent meta-analysis on the effect of tutoring on academic achievement (shows a SD using a Hedge's g of 0.288) experimental studies: Nickow, A., Oreopoulos, P., & Quan, V. (2024). The Promise of Tutoring for PreK–12 Learning: A Systematic Review and Meta-Analysis of the Experimental Evidence. American Educational Research Journal, 61(1), 74–107. https://doi.org/10.3102/0002831223120... A broader review by Nickow et al. showing a slightly larger effect (0.37 standard deviations): Nickow, A., Oreopoulos, P., & Quan, V. (2020). The impressive effects of tutoring on PreK–12 learning (NBER Working Paper No. 27476). National Bureau of Economic Research. Bloom's famous paper: Bloom, B. S. (1984). The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher, 13(6), 4–16. https://doi.org/10.3102/0013189X01300... The crtique of Bloom by von Hippel: von Hippel, P. T. (2024). Two-sigma tutoring: Separating science fiction from science fact. Education Next, 22–30. The secondary source that Bloom selectively cherry picked from: Walberg, H. J. (1984). Improving the productivity of America’s schools. Educational Leadership, 41(8), 19–27. An excellent paper by Matthew Kraft showing the average experimental effect sizes in educational research: Kraft, M. A. (2020). Interpreting Effect Sizes of Education Interventions. Educational Researcher, 49(4), 241–253. https://doi.org/10.3102/0013189X20912798 If you enjoy simple evidence based breakdowns of complex topics from the science of learning, please like, share, and subscribe. 🎓 About Me I’m Dr. Luke Rowe, PhD in learning sciences. I study the science of learning, human and artificial intelligence, study skills, and motivation to learn. My mission is to create these episodes to help students and educators everywhere, regardless of their access to university settings, apply evidence-based strategies that help them know more, do more, and be more. ✅ Want More? 🎙️ Listen to the Powerful Learning Podcast on Spotify, Apple, & YouTube Podcasts 👍 Like this video if you value learning about learning 🔔 Subscribe for more on metacognition, self-regulated learning, and the science of effective study 💬 Comment below with your favourite metacognitive question 📢 Share this video with someone who wants to level up their learning (or someone who has been misled by the 2 sigma problem) — DISCLAIMER: The views expressed in this episode are solely those of the creator, Dr. Luke Rowe, and do not represent the views or interests of any past, present, or future institutions or employers. © Luke Rowe. All rights reserved. The content of this episode (including audio, video, script, and description) is the original work of Dr. Luke Rowe. No part of this material may be reproduced, distributed, or adapted without prior written permission. Proper credit must be attributed to Dr. Luke Rowe, Ph.D., as the author.