Predictive algorithms are currently being used to identify potential presidential candidates in an era where data has become essential for influencing political campaigns.
Traditional polling methods have always dominated election forecasting, but the emergence of machine learning and sophisticated data analytics is opening up new possibilities for comprehending voter behavior and projecting results.
And now, a data scientist has projected that one candidate would win with overwhelming margins. People have been left shocked by the scientist’s forecast, with one person penning: “This is so scary to think about!”
According to Miller’s model, a significant turning point occurred following the Trump-Harris debate in September, during which Harris amassed over 400 electoral votes.
“We’re talking about a blowout where Harris gets over 400 electoral votes,” Miller declares, predicting that Trump’s chance of a comeback is slim unless something drastic changes.
