Sentence examples for projection bias from inspiring English sources

A more complex form of projection bias would entail having subjects projecting their current tastes in a future time where circumstances might be expected to differ to the present (e.g., bid before lunch when hungry to get the sandwich in one week after lunch when subject expects not to be hungry).

Our experimental design focuses on testing for just one form of projection bias since our subjects have to project their current tastes in a future time where similar circumstances to the present time might apply (e.g., bid before lunch when hungry to get the sandwich in one week before lunch when subject expects to be hungry again).

Russian officials may have been led by their own projection bias.

Cultures can suffer from projection bias as well; readers a number of decades from now may wonder why we became so infatuated with dour, middle-aged Swedish men who microwave their dinners and solve cold cases.

Projection bias is also why sales of convertibles and houses with pools spike during the summer – and why convertibles bought on days with abnormally nice weather are more likely to be returned quickly.

According to behavioral economists, the reason is that people are prone to something called "projection bias," in which they tend to assume that their preferences in the future will be fairly similar to what they are right now.

In this study, we tried to explore how (projection) biases that are not predicted by classical microeconomic theory affect subjects' valuation within the context of experimental economic auctions and how this effect is mediated by hunger and preference for immediate gratification.

Projections of bias onto journalists are long on generalities, short on proof.

However, if the sample tree splitting method is applied, the BAL-resolution can be held more or less constant during the course of growth projection and the bias in the predicted stand development is reduced.

At the least, more health agencies should develop better ways to describe and quantify the uncertainties in population projections and related bias to consumers of health statistics.

The projection error is mostly bias, caused by differences between the past GP workforce and the current and future GP workforce.