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Aaron Brown, Wall Street Quant and Author: Wrong Number, Sonic AI
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Aaron Brown, Wall Street Quant and Author: Wrong Number
The Alpha Exchange
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Jun 30, 2026
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1:01:54
Interview
Aaron Brown, Wall Street Quant and Author: Wrong Number
From
The Alpha Exchange
Aaron Brown
(Wall Street Quant, Author, and former Risk Manager at AQR, guest)
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Executive Summary
Aaron Brown's book "Wrong Number" critiques the widespread misuse of statistics (e.g., p-values, poor data quality) in academic research and public policy, citing examples like a flawed NTSB study that shut down bus companies and falsified data at Duke University.
He argues that most published research findings are false due to flawed methodologies and incentive structures that reward surprising results over accuracy, making skepticism a crucial tool for analysts.
Brown is highly optimistic about AI's potential to revolutionize financial analysis by improving data cleaning and risk management, predicting it will overturn many existing research findings by scrutinizing data anomalies that are currently ignored.
He reframes prediction markets not as a tool for financial gain for most, but as a valuable mechanism for individuals to test their own judgment against the "wisdom of the crowds" and improve their decision-making process.
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The Misuse of Statistics in Public Discourse
Skepticism as an Antidote to Flawed Research
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