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Yugon

Thinking, Fast and Slow

Eugene, Oregon, is presented as both a lived academic setting and a laboratory of ideas: during the most productive year of their collaboration, Daniel Kahneman and Amos Tversky worked there with Paul Slovic, conducted dozens of experiments, and developed the research that would reshape the study of judgment under uncertainty. The city’s ordinary routines—jogging, barbecuing, and taking children to basketball games—coexisted with nights spent writing and testing theories about how people estimate frequencies, assess probabilities, and predict the future.

A Collaborative Setting

Eugene became the temporary home of Daniel Kahneman and Amos Tversky in 1971–72, when they were guests of the Oregon Research Institute. Their main host was Paul Slovic, Amos’s former classmate at Ann Arbor and a lifelong friend who was becoming a leading psychologist of risk. Slovic and his wife, Roz, introduced the visitors to local life, giving the year a domestic rhythm that stood beside its intense intellectual demands. The contrast is central to Eugene’s role in the narrative. The researchers participated in familiar community activities while working at extraordinary pressure: Kahneman sometimes remained in the office through the night, and the year became a period in which social ease and sustained concentration reinforced rather than displaced each other. Eugene was not merely a backdrop for research; it was the environment in which friendship, family routine, and experimental psychology occupied the same calendar.

Experiments and the Availability Heuristic

One major project undertaken in Eugene examined what people do when asked to estimate the frequency of a category, such as people who divorce after the age of sixty or dangerous plants. Kahneman and Tversky proposed that people retrieve instances from memory and judge a category to be large when examples come to mind easily and fluently. They called this process the availability heuristic. The work clarified why memorable or easily retrieved events can distort judgments of frequency. The researchers initially treated availability as a heuristic without deciding whether it was a deliberate problem-solving strategy or an automatic operation; the later two-system approach showed that both systems could be involved. Eugene therefore marks an important stage in the development of a concept that began as a plain description of memory retrieval and became part of a broader account of intuitive thought.

The Tom W Experiment and Representativeness

The same year also produced the Tom W problem, an experiment designed to place representativeness in conflict with base rates. Kahneman composed the description during an overnight session in the office and presented it first to Robyn Dawes, a sophisticated statistician and skeptic of intuitive judgment. Even Dawes tentatively guessed that Tom W was a computer scientist, despite knowing the statistical importance of base rates; once the issue was pointed out, he immediately recognized the error. Kahneman and Tversky then collected responses from 114 psychology graduate students at three major universities. Although the students had taken several statistics courses and knew the relevant statistical facts, their rankings of nine fields followed the similarity of the stereotype rather than the probability implied by the base rates. The experiment showed substitution in a particularly clear form: the difficult question of probability was replaced by the easier question of similarity. The episode gave Eugene a memorable scene of intellectual discovery, in which expertise did not prevent an intuitive error but instead made the error more revealing.

From Local Work to a Wider Research Program

The experiments conducted in Eugene fed into the larger collaboration that led to the publication of “Judgment Under Uncertainty: Heuristics and Biases.” Over several years, Kahneman and Tversky studied probability assignment, forecasting, hypothesis assessment, and frequency estimation. Their article described simplifying shortcuts of intuitive thinking and treated roughly twenty biases as manifestations of those heuristics. It challenged the prevailing 1970s assumption that normal people generally reason soundly and depart from rationality mainly under the influence of emotion, arguing instead that systematic errors could arise from the design of ordinary cognition. The Eugene work also points toward the later practical discipline of intuition. Bayesian reasoning requires prior beliefs or base rates to be combined with the diagnosticity of evidence, yet intuitive impressions often exaggerate how strongly evidence favors a hypothesis. A numerical example shows the problem: a 3 percent base rate for computer science, combined with evidence four times more likely in that field, raises the probability only to 11 percent, whereas an 80 percent base rate raises it to 94.1 percent. The setting thus becomes associated not only with discovery but with the effort to constrain intuitive judgments by probability.

Legacy of the Place

Eugene’s significance lies in the scale of what emerged from its concentrated year. The researchers’ account of representativeness, availability, and adjustment from an anchor described heuristics as economical and often effective while also showing that they could produce systematic, predictable errors. Their findings attracted far more attention than expected and later proved useful in medical diagnosis, legal judgment, intelligence analysis, philosophy, finance, statistics, and military strategy. The city is consequently remembered through a double image: a place of basketball games, barbecues, and family life, and a demanding workshop where nights of writing and dozens of experiments transformed scattered observations into a general theory of judgment. Eugene’s narrative function is to make an abstract intellectual revolution concrete. The study of human error did not arise in an isolated realm of pure theory; it was built amid friendships, ordinary routines, and the sustained work of people who were learning that even trained minds could answer an easier question while believing they had answered the difficult one.