Branded: How the Experts Lost the Country
Intro to the Predictions Trilogy
By Jim Reynolds
www.reynolds.com
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What if I told you the people most credentialed to explain the world haven’t just been wrong for a decade—they’ve been wrong on purpose?
This isn’t a story about policy. It’s a story about power—how it cloaks itself in jargon, fails upward, and punishes truth. It’s about the expert class: the pollsters who misread the public, the scientists who bend reality to fit the grant, the media elites who confuse sneering for thinking. They don’t forecast. They narrate. Their job isn’t accuracy—it’s mood management.
But something happened they didn’t expect.
Donald Trump descended an escalator, and every institutional brain in the country melted. Not because he was dangerous. But because he was visible. Loud, vulgar, and unfiltered—he exposed their blindspots in real time. And the public saw it.
This trilogy is about that exposure.
The first piece, The Experts Were Never Trying to Be Right, pulls back the curtain. It shows the long con—how “expert failure” is a feature, not a bug. The second, The Experts vs. Trump, delivers the case study: how one man, by refusing to play their game, broke the machine and forced the masks to drop. The third, Future Imperfect, does what they never do—it predicts, not by ideology, but by pattern recognition. If you know how these people think, you already know what they’ll get wrong next.
Together, these essays are a reckoning. They mark a return of clarity, ridicule, and truth-telling. They restore the power of saying, “No. You were wrong. And we’re not forgetting.”
It’s not just a trilogy. It’s a blueprint for seeing through the fog.
And Bob’s riding shotgun.
About the Author
Jim Reynolds is a writer and technologist who spent years decoding complex systems—then turned his attention to the mess of modern expertise. His essays combine sharp analysis with cultural clarity, often through the lens of “Bob,” his blunt, fictional foil who says what the rest of us are thinking. Jim writes from the edge of the algorithm, where pattern recognition meets moral instinct.