Sentence examples for anchoring bias from inspiring English sources

Research on the anchoring bias leads to valuable advice for those seeking to maximize their opening offers.

Consider this anchoring bias example from Harvard Business School and Harvard Law School faculty member Guhan Subramanian.

West also gave a puzzle that measured subjects' vulnerability to something called "anchoring bias," which Kahneman and Tversky had demonstrated in the nineteen-seventies.

Data, for example, is an antidote to the human tendency to rely too much on a single piece of information or what is familiar — what psychologists call "anchoring bias".

Mr. Maude said that while someone like Dr. Dhaliwal would probably have thought of necrotizing fasciitis, his daughter's doctors were so stuck in what is called anchoring bias — in this case, Isabel's simple chickenpox — they couldn't see beyond it.

This method borrows the motivation of NAUTILUS along with the human aspects related to avoiding trading-off and anchoring bias and extends its applicability for computationally expensive multiobjective optimization problems.

It's hopelessly bad at the kind of statistical thinking often required for good decisions, it jumps wildly to conclusions and it's subject to a fantastic suite of irrational biases and interference effects (the halo effect, the "Florida effect", framing effects, anchoring effects, the confirmation bias, outcome bias, hindsight bias, availability bias, the focusing illusion, and so on).

Ms. Pelosi's fiercest supporters view much of the criticism directed at her, from both Republicans and Democrats, as anchored in bias against her gender or age.

If the introduction had the ring of an Alcoholics Anonymous declaration, before too long Mr. Lehrer was surrendering to the higher power of scientific research, cutting back and forth between his own story and the kind of scientific terms — "confirmation bias," "anchoring" — he helped popularize.

These include the overconfidence, anchoring and stereotyping biases mentioned above, as well as other errors including myopic loss aversion an unwillingness to accept short-term losses and the hindsight fallacy the tendency to think past events were predictable even though they weren't.

These include the overconfidence, anchoring and stereotyping biases mentioned above, as well as other errors, including myopic loss aversion an unwillingness to accept short-term losses and the hindsight fallacy, which is the tendency to think that past events were predictable even though they weren't.