Right now, the media attention around “fact resistance” makes it seem like it increases. But do we really know? To know such things we must measure it, and to our knowledge nobody has done that.
We're not taking the fact-checking powers of AI seriously enough. It's past time to start.
Some notes on the Nobel Prize hallucination that wasn't
A fact-based worldview for all | Gapminder
We live in a globalized world, not only in terms of trade and migration. More people than ever care about global development. But most people have severe misconceptions about contemporary global development. We know, because we have tested people’s knowledge. One of the main reasons for this is that students don’t learn to understand the world based on statistics and facts. Instead, we have a dramatic worldview formed by outdated school books and sensationalist news-stories. People intuitively believe that most things are getting worse. The dramatic worldview leads to irrational decisions by individuals, nonprofits, governments and business. For the first time in human history reliable statistics exist. There’s data for almost every aspect of global development. The data shows a very different picture: a world where most things improve; a world that is not divided; and a world where the fast population growth will soon be over. The world has never been less bad. But that doesn’t mean it’s perfect.
Markus J. Buehler on Twitter / X
After decades at MIT studying how nature builds - from spider silk to bone to nacre - I've become convinced of something: the biggest barrier to scientific progress isn't knowledge, it's connection. The insights we need already exist, scattered across millions of papers and… pic.twitter.com/EHUomaFyPj— Markus J. Buehler (@ProfBuehlerMIT) March 10, 2026
The Surprising Value of Obvious Insights | MIT Sloan Management Review
Confirming what people already believe can sometimes help organizations overcome barriers to change.
Stop trusting the extinction math
The AI industry's favourite 'statistic' isn't backed by data. And it distracts from what's really going on.
Why Facts Don’t Change Our Minds
New discoveries about the human mind show the limitations of reason.
Maybe scientific progress isn’t slowing, after all
A new paper takes aim at the claim that science has become less disruptive
Searching for explanations: How the Internet inflates estimates of internal knowledge.
People are not friction
The Gell-Mann Amnesia Effect of AI is a pretty well documented phenomenon: The Gell-Mann amnesia effect is a cognitive bias describing the tendency of individuals to critically assess media reports in a domain they are knowledgeable about, yet continue to trust reporting in other areas despite recognizing similar potential inaccuracies.
Sources on social media: Information context collapse and volume of content as predictors of source blindness - George Pearson, 2021
Although social media has become a primary news platform, the effects of social media features on users’ information processing remains under-explored. This stu...
Andreas De Block on Twitter / X
It took Nature three years to publish this rebuttal, which clearly demonstrates the fundamental flaws in the original paper. In the meantime, the paper's conclusions influenced scientific debate and policy decisions. Such delays in correcting flawed research do real damage. https://t.co/QI3Ei3PE70— Andreas De Block (@DeblockBlock) August 13, 2026
The AI Trust Gap: 82% Are Skeptical, Yet Only 8% Always Check Sources
Original Exploding Topics survey data explores public sentiment on AI Overviews and AI-generated content, highlighting trust, skepticism, and shifting content consumption habits.
The mistake we all make... and the simple experiment that reveals it
Your answer reveals how you see the world – and the common error that hampers our decision making. In an extract from his new book, psychologist Richard Nisbett reveals the ‘mindware’ to help us think smarter
Capturing our Attention by @neillevy.bsky.social "we possess sophisticated capacities of epistemic vigilance, which work reasonably well to distinguish reliable from unreliable information, but ... we do not have parallel defences against attentional capture" > tandfonline.com/doi/full/10.1080/00048402.202…
