Admit it, you are biased
, and as hard as you try to keep it from affecting your decision making, it still does.
"In the case of biased
but honest sources, the information they present might only support one side of the issue, but at least people can treat the information as useful for understanding that side.
Using the store-tracked performance metrics, the researchers found that minority cashiers performed worse under biased
than under unbiased managers, while the performance of non-minority cashiers was not affected by manager bias.
Using both the IAT data and the worker performance data, they found that minority workers performed worse on days they were scheduled to work under biased
"Anchoring effect: How the mind is biased
by first impressions." Psyblog.
"The people who are not present biased
had, on average, about 19% more in savings than those who value tradeoffs much differently over the short term and the long term," the Center for Retirement Research said in an examination of the NBER study.
However, it remains unclear whether attention can be biased
away from alcohol-related cues by exogenous attentional processes.
In this scenario, when obese patients need medical treatment and advice most, these biased
docs are the ones looking like the biggest loser.
As for the question of whether or not anyone should care about media bias, the author points to empirical studies suggesting that biased
news routines can influence public opinion and voting behavior.
For example, a biased
physician might wrongly perceive that a black patient with uncontrolled high blood pressure is uncooperative and unlikely to adhere to a more intensive treatment regimen.
(8) The sender and the intermediary may be independently one of two types: objective or biased
. An objective agent is assumed to pass on the most accurate information he has, while a biased
agent wants a particular action taken, but he also wants to appear objective.
Skills related to implicit bias include intentionality in thought and behavior and long-term commitment to changing biased
Findings reveal that the 2SLS estimator may be severely biased
by correlations between instrument compliance and mediator effects, even if all the standard IV assumptions are met.
* State definitively whether forecasts are biased
or make objective judgments about whether the situation has improved or deteriorated.