Correlations: Left-Handers and Right-Wingers (new study)

“It seems axiomatic to assume that handedness is unrelated to actual placement on the political spectrum. Nevertheless, primed by my longstanding research interest in personality and political preference (e.g., McCann, 1997, 2014a, 2014b), I was struck by the rough similarity of a map of the percentage of left-handers in each state in 1986 (McManus, 2009, […]

Algorithm Predicts Hillary Clinton will defeat Donald Trump to become the 45th President of the United States

by Eric Schulman and Daniel Debowy July 28, 2016 Now that both major U.S. political parties have announced their nominees for president and vice president and the nominees have accepted these nominations, the Annals of Improbable Research U.S. Presidential Election Algorithm (Debowy and Schulman 2003) can be used to predict the results of the upcoming […]

The statistical un-likelihood of Donald Trump [analysis of a Trump-Up analysis]

Eric Schulman and Daniel Debowy write: Contrary to what you might have heard recently (“Get ready for President Trump, says election whiz who’s scary accurate“) from a statistics-driven political scientist, Donald Trump will not “almost certainly become President of the United States” if he wins the Republican nomination. The mainstream media are helping spread that […]

AIR U.S. Presidential Election Algorithm Verified Again

AIR U.S. Presidential Election Algorithm Verified Again by Eric Schulman and Daniel Debowy For the third election in a row, the Annals of Improbable Research U.S. Presidential Election Algorithm ( see Debowy and Schulman, AIR Online, 20 October 2003 and Schulman and Debowy, AIR Online, 11 August 2012) correctly predicted the outcome of the United States presidential election. […]

Choosing politicians randomly produces better results

Democracies would be better off if they chose some of their politicians at random. That’s the word, mathematically obtained, from a team of Italian physicists, economists, and political analysts. The team includes the trio whose earlier research showed, also mathematically, that bureaucracies would be more efficient if they promoted people at random. Alessandro Pluchino, Andrea Rapisarda, Cesare Garofalo, […]