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Easy to imagine feels likely
Examples on hand
Social media loads the examples. A few minutes of checking in with friends can turn up someone laid off, someone sharing a story about infidelity, someone describing a frightening medical diagnosis, and a creator explaining how artificial intelligence will replace millions of jobs. All of it happens. Repeated exposure makes each one mentally available, so it stops feeling possible and starts feeling probable.
A documentary about a rare disease does the same thing. For days afterward, every small ache seems significant even though the odds never moved. Hearing about a relationship ending unexpectedly sends the brain scanning for signs that a current relationship is next. Nothing in reality changed, and the stories on hand did.
How algorithms exploit it
Algorithms are very good at exploiting this. They surface whatever is most emotionally engaging, which is rarely the most representative of reality. Fear keeps people watching and outrage keeps them commenting. Over time the brain starts treating emotionally charged information as statistically normal.
How was the availability heuristic discovered?
Amos Tversky and Daniel Kahneman described it in a 1973 paper. In one experiment, participants judged whether English words more often begin with the letter K or have K as the third letter. Most chose words that begin with K, because those words are easier to recall. Words with K in the third position are in fact roughly twice as common.
Which risks do people overestimate most?
Sarah Lichtenstein, Paul Slovic, and colleagues published a 1978 study in which people judged how often various causes of death occur. They overestimated rare, dramatic causes such as tornadoes and homicide, and underestimated common ones such as diabetes and stroke. A 1979 analysis by Barbara Combs and Slovic found that newspapers gave far more coverage to homicide and disasters than to diseases that kill more people.
Why do algorithms favor emotional content?
Platforms that rank posts by engagement signals such as shares carry provocative content further. In a 2017 study in PNAS, William Brady and colleagues analyzed hundreds of thousands of tweets on contested topics. Each moral-emotional word in a tweet was linked to about 20 percent more retweets.
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