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www.thepositivepsychologypeople.com/positivity-and-the-negative-bias

Negativity Bias One of the reasons why we do this is that we have an in-build tendency to focus more on negative experiences than positive ones, and to remember more insults than praise. This tendency is called negativity bias. It is based on an evolutionary adaptation.

en.wikipedia.org/wiki/Negativity_bias

The negativity bias, also known as the negativity effect, is the notion that, even when of equal intensity, things of a more negative nature (e.g. unpleasant thoughts, emotions, or social interactions; harmful/traumatic events) have a greater effect on one's psychological state and processes than neutral or positive things. In other words, something very positive will generally have less of an...

wiki.lesswrong.com/wiki/Positive_bias

Positive or confirmation bias is a tendency to test hypotheses with positive rather than negative examples, thus risking to miss obvious disconfirming tests.. Kevin Kelly argues that negative results should be "saved, shared, compiled and analyzed, instead of being dumped. Positive results may increase their credibility when linked to negative results."

www.reference.com/education/positive-bias-5e20e3a8412a817f

A positive bias is a term in sociology that indicates feelings toward a subject that influence its positive treatment. This can be seen in a number of different forms, and while it may be innocent enough in most cases, it can represent a less than favorable trend. The best example of a positive bias having a negative result is found in education.

www3.nd.edu/~kbuckles/ec40310/ch3.ppt

OLS will usually be biased Omitted Variable Bias Omitted Variable Bias (cont) Omitted Variable Bias (cont) Omitted Variable Bias (cont) Summary of Direction of Bias Omitted Variable Bias Summary Two cases where bias is equal to zero b2 = 0, that is x2 doesn’t really belong in model x1 and x2 are uncorrelated in the sample If correlation ...

en.wikipedia.org/wiki/Bias_(statistics)

The bias of an estimator is the difference between an estimator's expected value and the true value of the parameter being estimated. Omitted-variable bias is the bias that appears in estimates of parameters in a regression analysis when the assumed specification omits an independent variable that should be in the model.

www.psychologytoday.com/us/articles/200306/our-brains-negative-bias

Our Brain's Negative Bias Why our brains are more highly attuned to negative news. By Hara Estroff Marano, published June 20, 2003 - last reviewed on June 9, 2016

newonlinecourses.science.psu.edu/stat507/node/34

Confounding and Confounders. Confounding: A situation in which a measure of association or relationship between exposure and outcome is distorted by the presence of another variable.Positive confounding (when the observed association is biased away from the null) and negative confounding (when the observed association is biased toward the null) both occur.

www.drjangoss.com/positive-expectation-vs-negative-bias

Apparently, as human beings we are programmed with a negative bias, we actually look for and focus on the negative aspects of our self, others and our experiences! That may seem like a ‘design’ fault but of course sensing ‘danger’ in its myriad forms helps to keep us safe, it protects us. The fact is that […]

www.sciencedirect.com/science/article/pii/S0005791614000810

Double attention bias for positive and negative emotional faces in clinical depression: Evidence from an eye-tracking study. ... our second hypothesis was that the depressed group would show an absence of positive bias in comparison with the control group in the maintenance of gaze indices (Ellis et al., 2011).