Psychologists have noted the shortcomings of political critiques and polling methods in predicting the outcome of the 2024 presidential election.
Long before voting begins, researchers from the University of Pennsylvania have forecasted that Donald Trump will prevail, primarily by analyzing how each candidate has addressed unfavorable news.
In the closing weeks of the election campaign, Trump’s demeanor appeared increasingly optimistic, whereas Kamala Harris responded in a more flattering manner. This shift not only supports the prediction of Trump’s victory but also hints at the potential margin by which he could win, according to new findings from Penn’s Center for Positive Psychology.
“Around October 10th, Trump started to exhibit significant optimism,” noted Martin Seligman, a co-author of the study and a psychology professor, in comments to the Post. “By the 27th, the disparity in tone between Harris and Trump was striking.”
The research involved a detailed analysis of 1,389 instances of negative occurrences—like war and economic troubles—from both candidates. This data came from speeches, interviews, and formal presidential debates, covering the period from early September to October 27th.
Candidates’ descriptions were evaluated using content analysis techniques that assess how individuals discuss events. This positive psychological approach measures optimism by evaluating whether causes are presented as temporary, concrete, and solvable.
A key observation was that candidates who framed their messages in a more “optimistic” light performed differently.
Trump’s references to issues exceeded Harris’s by more than fourfold, often attributing blame to external forces while suggesting he could address the problems himself.
Conversely, Harris portrayed threats as significant and persistent, lacking a clear path to resolution, according to Seligman.
In an effort to identify other indicators that might forecast election outcomes, researchers explored emotional tones and language related to past and future scenarios along with control or responsibility themes. However, these did not yield noteworthy results; optimism stood out as the only significant predictor.
Seligman has previously documented that between 1948 and 1984, optimistic candidates won in nine out of ten elections.
He has advised both parties on incorporating optimism into their campaigning, although he refrained from this strategy when candidates began to present feigned optimism.
Trump’s unscripted style, which allowed for immediate analysis, revived the interest in these optimistic patterns.
The researchers secured their predictions before the election and validated them with four external experts, including Seligman’s daughter Lala, Al Hunt, political scientist Dan Chillott, and psychologist Dave Myers.
“As far as I know, we are the only ones who have managed to predict Trump’s election,” Seligman remarked.
An individual prediction model developed by Professor Peter Ens at Cornell University also accurately anticipated Trump’s win across all 50 states based on economic indicators and the president’s approval ratings.
The findings indicate that voters tend to gravitate towards candidates who present challenges as actionable rather than systemic, with Trump’s unscripted approach offering researchers a genuine glimpse into his mindset, Seligman stated.
“When optimism feels genuine, there are many reasons why Americans are drawn to it,” he added. “It aligns with the overall optimistic trajectory of American history.”
