Objectivity obstacles

Usage examples of biases.

Over-simplification and cognitive biases --it is far easier to have a simple view of a situation, but the simple view is usually wrong, e.

When evaluating other people's judgments, we have many biases, including a tendency to give greater weight to negative factors than to positive factors, e.

Cognitive biases have already been mentioned in several psychological disorders, e.

In college, in the early 1950s, I began to learn a little about how science works, the secrets of its great success, how rigorous the standards of evidence must be if we are really to know something is true, how many false starts and dead ends have plagued human thinking, how our biases can colour our interpretation of the evidence, and how often belief systems widely held and supported by the political, religious and academic hierarchies turn out to be not just slightly in error, but grotesquely wrong.

It's all, as in many postmodernist texts, a matter of how strongly people feel and what their biases may be.

It claims access to truths that are largely independent of ethnic or cultural biases.

In your case, your biases showed with Nogmand maybe with Quark--but you recognized that fact and overcame them.

They recognize that accounts of events have passed through biased human filters, and that historians themselves have biases.

Scientists also exhibit biases connected with human chauvinisms and with our intellectual limitations.

But why does it matter what biases and emotional predisposi­tions scientists bring to their studies, so long as they are scrupulously honest and other people with different proclivities check their results?

The same clichés, biases, and outright lies are constantly reinforced through the media sound chamber.

Norpell, “The Faces Are New, the Biases Aren’t,” Plain Dealer, June 11, 1997, p.

Critics of standardized testing speculate that since most of the people who create the questions are white, cultural biases are inadvertently written into the test.

Are there classes of networks where all I do is tell you all I know about the number of inputs, and some biases on the rules by which genes regulate one another—and it turns out that a whole class of networks, regardless of the details, behaves with the kind of order that you see in normal development?