The Lucas Bean Show

The Reality Filter MAGA Never Built

The Lucas Bean Show

Show Notes

There is a question that comes up every time you watch a Trump supporter defend something that is obviously, provably, measurably false. It is not why do they believe this. It is something more basic than that. How can a grown adult not see that this is nonsense? They believe vaccines cause autism. They believe the election was stolen. They believe a billionaire who has never done a single thing for a working person in his life is fighting for the working class. They believe climate change is a hoax, that January 6th was peaceful, that a man who bankrupted casinos is a business genius, and that a wall will fix immigration. None of it survives five minutes of checking. They do not check. And when you check for them and hand them the results, they call your evidence fake and keep going. The instinct is to call them brainwashed, or stubborn, or just liars who know better. But a peer reviewed study from 2015 offers an answer that is simpler and far worse than any of those. Some people physically cannot tell the difference between something that sounds true and something that is true. And the data on who those people are will not surprise you at all.

The Gibberish Test In 2015, a psychologist named Gordon Pennycook sat people down and showed them sentences that meant nothing. Not sentences that were wrong, or misleading, or biased. Sentences that contained no meaning at all. A computer had generated them by jamming buzzwords together at random. “Hidden meaning transforms unparalleled abstract beauty.” “Wholeness quiets infinite phenomena.” Grammatically flawless. Structurally familiar. Completely, verifiably empty. Then he asked a simple question. Do these sentences mean anything? The results, published in the peer-reviewed journal Judgment and Decision Making, split the room clean in half. One group looked at the sentences and saw exactly what they were: noise dressed up in a nice outfit. The other group looked at the same sentences and rated them as profound, meaningful, even wise. They read words a machine had shuffled together like a deck of cards and walked away believing they had encountered a deep truth. Pennycook gave the phenomenon a name that does not soften what it describes. He called it b******t receptivity. The clinical inability to distinguish between something that sounds like it means something and something that actually does. Who Falls for It What came next was the part that should have made national news and never did. Pennycook measured who these people were. He tested their cognitive ability, their analytical thinking, their reasoning skills, and their belief systems. The pattern that emerged was not subtle and it was not ambiguous. The people who fell for the fake sentences scored lower on every measure of intelligence the study tested. Lower cognitive ability. Lower analytical thinking. Lower verbal reasoning. Higher faith in gut instinct over evidence. And they were significantly more likely to believe in conspiracy theories, the paranormal, and religion. Every marker pointed the same direction. The people who could not detect nonsense on a page were the same people who built their entire worldview on nonsense they encountered everywhere else. The study won an Ig Nobel Prize in 2016, which is an award given to real, published, peer-reviewed research that makes you laugh before it makes you think. But there is nothing funny about what happens when you scale the finding up from a psychology lab to a country of three hundred and thirty million people, because the pattern Pennycook identified in a controlled setting is the pattern that explains the last decade of American politics.

The Trump Frequency Consider how Donald Trump speaks. Not what he says, because what he says is almost never anything at all, but how the words are arranged. “We’re going to win so much you’re going to get tired of winning.” Parse it and there is nothing there. No policy, no plan, no mechanism, no promise that can be measured or he

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