Allan Lichtman, known as the “Nostradamus” of U.S. elections, admitted he was wrong after predicting that Vice President Kamala Harris would win the 2024 presidential election, ultimately losing to former President Donald Trump. Lichtman’s model, “The Keys to the White House,” has successfully predicted the outcomes of nine out of 10 presidential elections prior to 2024, based on 13 true/false statements that evaluate the standing of the incumbent party on various factors like the economy, foreign policy, and domestic politics. If six or more keys are false, the incumbent party is predicted to lose the election, while five or fewer false keys indicate a victory.

On the eve of the 2024 election, other forecast models rated the race as a toss-up, but slightly favored Harris. Polling aggregation site FiveThirtyEight gave Harris a 50 percent chance of winning, while The Economist’s election forecast showed Harris with a 56 percent chance of victory. Statistician Nate Silver pointed out that Lichtman’s keys predicted a Trump win, to which Lichtman defended his model by stating that the keys themselves were accurate and based on historical events. He suggested that the unprecedented circumstances of the election, including the Democratic Party’s critiques of the sitting president and Harris’ lack of participation in primaries, may have influenced the prediction.

Lichtman admitted his error in a YouTube livestream where he acknowledged that the Democratic Party’s treatment of the sitting president and the circumstances surrounding Harris’ nomination were unprecedented and could have affected the prediction. He also noted the influence of disinformation on an unprecedented scale during the election, making it difficult for a rational electorate to operate. Despite criticism of his model for being prone to bias and subjectivity, Lichtman has defended it, stating that he remains open to new possibilities and not arrogant enough to assume that the keys will hold forever.

The 13 keys to the White House outlined by Lichtman in a 2012 article include factors such as party mandate, primary contest, the incumbent seeking re-election, the absence of a third party, a strong economy, major policy changes, social unrest, scandal, foreign or military failures or successes, the charisma of the incumbent and challenger. Lichtman’s model has been scrutinized by political scientists and statisticians but has shown a high success rate in predicting presidential elections. Despite his inaccurate prediction in 2024, Lichtman remains open to new information and acknowledges the unique challenges and complexities of each election cycle.

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