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NOBODY'S FOOL, my second book co-authored with @profsimons, was published today by @BasicBooks! It's about how deception works—the patterns inherent in successful frauds and scams, and the cognitive science of how we respond to them. Much more info here: dansimons.com/NobodysFool.ht…
🤣 How have I never heard this one before?
“When you think there’s no hope left, remember the lobsters in the tank at the Titanic’s restaurant.”
Readers added context they thought people might want to know
The second half of this video is AI generated. Around the 7 second mark the background changes color and some background elements change.
gijn.org/resource/guide…
Christopher Chabris retweeted
Former professor at Cambridge. In case you were wondering who is now drawn to academic jobs: newstatesman.com/cover-story…
Christopher Chabris retweeted
One more time for this one: dtwuva.substack.com/p/studen…
Christopher Chabris retweeted
New Substack: : Students should only use AI for things that they already know how to do well.
dtwuva.substack.com/p/studen…
Is this development of persistent, distinctive, “AI mannerisms” caused by each model being trained excessively on LLM-generated text, concentrated on its own model family’s own output?
We're still open to new applications!
POSTDOC HIRING: Our lab in the Dept. of Bioethics and Decision Sciences in the Geisinger College of Health Sciences is hiring a Postdoctoral Research Fellow in the Behavioral Science of Health-Related Beliefs, Judgment, and Decision-Making. Ideal for an experimental psychologist, behavioral economist, or experimental philosopher/bioethicist. Start date is ASAP. Can be remote from anywhere in the U.S.
Job ad and application instructions: michellenmeyer.com/uploads/2…
It's not just a length/time problem, but also the aversive inhuman qualities of the content itself, even when it's concise.
POSTDOC HIRING: Our lab in the Dept. of Bioethics and Decision Sciences in the Geisinger College of Health Sciences is hiring a Postdoctoral Research Fellow in the Behavioral Science of Health-Related Beliefs, Judgment, and Decision-Making. Ideal for an experimental psychologist, behavioral economist, or experimental philosopher/bioethicist. Start date is ASAP. Can be remote from anywhere in the U.S.
Job ad and application instructions: michellenmeyer.com/uploads/2…
This “workflow,” besides not actually being a way to “read a complete book” as advertised, is a nice example of the summary fallacy: the belief that reading a summary of a book or long work delivers all the value of actually attending to the entire work. A gist, a main point, a central argument, or a key lesson is not a substitute for a whole work, but something that experiencing the whole work is meant to leave us with.
I accidentally discovered how to read a complete book in 30 minutes.
A Harvard student showed me the workflow. Here's exactly what he does.
He doesn't open a book and start reading from page one.
He said that's the slowest, most inefficient way to absorb a book ever invented. You read linearly, your brain has no context for what matters, and by chapter four you've already forgotten chapter one.
He does something different.
He uploads the entire book into NotebookLM first.
Then he runs one prompt before touching a single page.
"What is the single central argument this book is making? What does the author believe that most people don't? And what are the 5 most important ideas I need to understand before everything else makes sense?"
That prompt does something most people don't realize. It gives your brain a skeleton before the flesh goes on. You are no longer reading to discover what the book is about. You already know. Now every page you read is confirming, extending, or challenging something you already hold in your head.
That is a completely different cognitive experience.
The second prompt is the one that saves the most time.
"Which chapters or sections contain the core ideas? Which ones are examples, case studies, or repetition of things already said?"
Most nonfiction books are 60 to 70 percent padding. Not because the authors are dishonest. Because publishers want 250 pages, not 80. The actual argument usually lives in four or five chapters. The rest is illustration.
NotebookLM tells him exactly which four chapters to read. He reads those. He skips the rest.
He is not missing anything. He is cutting everything that was never the point.
The third prompt is what separates this from summarizing.
After reading the core chapters, he goes back and asks: "What questions does this book not answer? What would a hostile critic say is wrong with the central argument? Where does the evidence feel weakest?"
This is the move that most people never make. They read. They absorb. They move on. They have opinions given to them by the author and they carry those opinions around as if they built them themselves.
He stress-tests the book before he closes it. He knows where it holds and where it doesn't. That is not reading. That is thinking with the book as a sparring partner.
The final prompt is the one I use every time now.
"If I had to explain this book's core idea to a smart 14-year-old in three sentences, what would I say? And what is the single most actionable thing the author wants the reader to do differently after finishing?"
That prompt forces compression. And compression forces understanding. You cannot compress what you do not actually understand.
I read four books last month this way.
I retained more from each one than I have from any book I read cover to cover in the last two years.
The average person reads a 300-page book in six hours and forgets most of it within a week. He reads the same book in 30 minutes and can still argue its central thesis six months later.
The book didn't change. The interface did.
Most people are reading books the way they were designed to be sold.
He reads them the way they were designed to be understood.
Christopher Chabris retweeted
In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests.
Here's our new preprint doi.org/10.64898/2026.05.17.… led by @tianchuzeng @kkli20111 @ZShaoshi @ten_photos 1/N
Christopher Chabris retweeted
Today I'm thrilled to welcome Paul Han to the Department of Bioethics and Decision Sciences in @GeisingerRsrch & @geisingercohs at @GeisingerHealth. A recent Fulbright Scholar who studies medical decision-making, uncertainty, and risk communication, Dr. Han joins us from NCI/NIH.
Surely Google realizes how central the quality of its search result displays are to most people's understanding of what's real and what's not? Could they devote more resources/attention to the problem of keeping them non-fake?


























