Jeane Dixon

Jeane L. Dixon (1904-1997) was one of America's famous self-acclaimed psychics and astrologers in the 20th century, thanks to her astrology column in a syndicated newspaper. A notable amount of her predictions (some of which have failed) were publicised, with splendid reception.

Noted predictions
Most, if not all, of her 'predictions', did not come to fruition.

She allegedly foretold the assassination of John F. Kennedy upon seeing his victory in the 1960 Presidential Election, although later she herself admitted that she actually saw Richard Nixon, who followed her predictions during his tenure as President of the United States, taking the upper hand then. She foresaw that in 1958, a dispute over the Kinmen and Matsu Islands (today part of Fujian Province in Taiwan) would cause World War III to break out, but of course, nothing happened then. She even foresaw the Soviet Union being the first to place a man on the moon, but in the end, it was a who took that title. She claimed to foresee world peace by 2000, but wars and conflicts have still gone on since then. She foresaw a cure for cancer in 1967, but there is no cure for it yet. She also predicted that Pope Benedict XVI would be assassinated and be the final Pope, but of course, guess what happened. It didn't ever happen. She also predicted that a planetary alignment on February 4, 1962 was to destroy Earth, and this prediction led to mass congregational meetings in India, but also, nothing happened then, and afterwards, she went on to predict that Armageddon would take place in 2020.

After her long life dedicated to prophesying, and tons of failed prophecies, Dixon suffered a heart attack and died at a hospital in Washington, D.C.: Divine retribution, perhaps? Look at what says about fortune-telling quacks.

The Jeane Dixon Effect
The Jeane Dixon Effect refers to a certain syndrome common in alleged psychics and fortune tellers in which a few seemingly accurate predictions were promoted by a bigger organisation (e.g. the media), while ignoring the large numbers of failed predictions (confirmation bias).