Algorithm predicting Trump voters' 'true' voting intentions
anecdote ·
retold in 3 talks
American researchers followed Trump voters, registered their opinions and habits, and found the machine not only predicted how they would vote but also how they should vote 'in accordance with their own true convictions', arguing the machine made better decisions.
≤2000talks it is told in, per year2026
As told 3
“They predicted how in accordance with their own true convictions they should vote. And again, machine made a better decision.”
“The computer's decision for whom you should vote was much more to the left than of the person itself.”
“the machine was right to predict where they voted stupidly against their own interests”
What it carries
one story, many jobs: the ideas this anecdote is deployed to argue, one tally mark per use (an idea page shows the same relation from the other end, as its shelf of stories)
Its cast and sources
populated by
Richard Sennett1Alexander Bogdanov1Geert Wilders1Will Self1Mike Pence1Pim Fortuyn1Tim LaHaye1Louis Antoine de Saint-Just2
alongside works
Every retelling 3
American researchers followed Trump voters, registered their opinions and habits, and found the machine not only predicted how they would vote but also how they should vote 'in accordance with their own true convictions', arguing the machine made better decisions., illustrating narrating self,liberal subjectivity,digital governance
Experiments tracking people's attitudes found that computers predicted they should vote further left than they actually did, because humans let themselves be manipulated by fear of terrorism into conservative votes., illustrating digital control,ideology,cynical ideology
Experimenters registered voters' full intellectual life and then checked against how they actually voted; the machine could accurately predict when voters voted against their own interests., illustrating machine knowledge vs. narrating self,limits of liberal democratic voting,why machine voting might outperform humans