Sentence examples for scientific bias from inspiring English sources

That scientific bias could be changing, however.

His finding is widely cited as an instance of scientific bias and fallibility.

Earlier this month, members of Congress from Connecticut, New Jersey and Pennsylvania asked for an inquiry into accusations that federal health officials were showing scientific bias and misallocating research money designated for Lyme research.

Perhaps this quote from such a distinguished scientist is included as a way of somehow diffusing any future criticism of having a secular or explicitly non-religious scientific bias.

It suggests that Marx subscribes to a fairly "hard" determinism (though perhaps not a total sort of determinism because Marx allows for the existence of subjective impulses that fall outside the scope of his inquiry), along with a heavily natural scientific bias.

It is certainly true that money can lead to scientific bias (just look at pharmaceutical research), but as a motive for conspiracy here it's laughable.

This assumption has been challenged in the past, because of several cultural and scientific biases.

Andrew Belonsky at Towleroad saw danger in a passage in the document's notes asserting that marriage has been debased in part by "anti-scientific bias, in the complete absence of empirical proof, that non-heterosexual inclinations are genetically determined, irresistible and akin to innate traits like race, gender and eye color".

Depending on factors specific to each case, these misbehaviours lie somewhere on a continuum between scientific fraud, bias, and simple carelessness, so their direct inclusion in the "falsification" category is debatable, although their negative impact on research can be dramatic [11], [14], [16].

In order to secure appropriate distribution of scientific effort, biases must be appropriately distributed in the community.

Because population-based health care databases collect data for quality-control and administrative purposes unrelated to scientific investigations, certain biases, such as nonresponse bias, recall bias, and bias from losses to follow-up, can be avoided.