6 May 2026 · Every story has many sides
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A study published in Nature found that TikTok's algorithm favored pro-Republican content on For You pages during the 2024 US elections.

It was announced with some ceremony that a study in Nature had discovered Tik Tok’s algorithm favored pro-Republican content during the 2024 elections. One wonders if the machine was biased, or if it was merely reflecting the peculiar taste of the people who feed it.

I have always held that a mirror is not responsible for the ugliness it reflects, nor is it to blame if it happens to catch the light in a way that flatters a particular nose. The researchers, being men of science and therefore accustomed to looking for causes in complex machinery, concluded that the algorithm itself possessed a political leaning. This is a comforting thought for those who believe that chaos is the result of design rather than the natural state of human affairs. It suggests that if we can only find the right lever in the server room, we can tune the world to our liking. But I suspect the truth is far less mechanical and far more embarrassing.

Consider the nature of the beast. Tik Tok is not a librarian; it is a carnival barker. Its job is not to educate, nor to balance, nor to uphold the sacred principles of democratic neutrality. Its job is to keep you watching. And what keeps a man watching? Not nuance. Not the careful, dry recitation of policy differences. It is outrage. It is certainty. It is the feeling that one is right and the other fellow is not just wrong, but fundamentally un-American.

Now, I am not a partisan man. I have seen both sides of the aisle, and I can assure you that the view from either side is largely the same: a lot of shouting, a great deal of posturing, and a profound inability to admit when one has been mistaken. But if the algorithm favors content that is loud, confident, and morally certain, it will naturally favor the side that speaks with the most conviction. And in the current American temperament, conviction is often mistaken for truth. If one party speaks in whispers of compromise and the other in shouts of divine mandate, the machine will amplify the shouts. Not because it loves the mandate, but because it loves the noise.

The researchers ask whether this bias influenced voter behavior. This is a question that assumes voters are rational actors who weigh evidence before casting a ballot. I have traveled this country, from the Mississippi to the Pacific, and I have found that the average voter is less interested in evidence than in identity. He does not want to be persuaded; he wants to be confirmed. He wants to hear that his tribe is righteous and his enemies are wicked. If the algorithm serves him this dish, he will eat it with relish. If the algorithm served him a balanced meal of facts and counter-facts, he would likely put it down and go back to the carnival barker who promised him a free prize for simply standing still.

There is a deeper irony here, one that the scientists may have missed in their data sets. We are angry that a Chinese-owned platform influenced our election. We are angry that an algorithm, a thing of code and silicon, decided who should win. But we forget that we built the culture that the algorithm merely mirrored. We built a political landscape where certainty is valued over wisdom, and where anger is a more reliable currency than reason. The algorithm did not create this bias; it harvested it. It is like blaming the wind for blowing the leaves off a tree that was already dead.

I feel a certain fondness for the researchers, for they are trying to solve a problem that has no solution. They believe that if they can just fix the code, they can fix the country. But the code is not the problem. The problem is that we have decided that politics is a sport, and in sports, the goal is not truth, but victory. The algorithm is simply the most efficient referee we have ever had. It does not care who wins, so long as the game is exciting.

So, what are we to do? We can ban the app, as some have suggested. We can regulate the code, as others propose. But until we change the nature of the beast - the human desire to be outraged rather than informed - the next platform will simply be a better mirror. It will reflect our divisions with even greater clarity. And we will look into it, see our own angry faces, and blame the glass.

The warmth of this realization is that we are not victims of a foreign conspiracy. We are victims of our own enthusiasm. And that is a story that has been told many times before, usually with less technology and more mud. The knife cuts deep, but it is a familiar wound. We have been here before. We will be here again. The only question is whether we will laugh at the absurdity of it, or continue to shout at the mirror.