![]() An experimenter's strong belief in a new theory produces confirmation bias, and any biased evidence they obtain then strengthens their belief in that particular theory. If experimenter's regress acts a positive feedback system, it can be a source of pathological science. Legitimate scientific experiments conducted by the person who formulated the theory seek to prove the theory false rather than prove it true specifically to counter the effects of bias. #SCIENTIFIC REGRESS HOW TO#The scientist then focuses on how to conduct experiments to test the theory incrementally and the theory is either proven to be true or false through repeatable and legitimate experimentation. The theory is the answer the scientist creates using logic and reason to explain the phenomenon. In a true scientific process, a theory is formed after a scientist - amateur or professional - has observed a phenomenon and has asked "why?" as a result. If any party involved in the process stands to personally lose or gain from the result, the process will be flawed and unscientific. In a true scientific process, no consensus does exist and no consensus can exist as the process is conducted scientifically in the pursuit of knowledge. This issue is particularly important in new fields of science where there is no community consensus regarding the relative values of various competing theories, and where sources of experimental error are not well known. Cognitive bias affects experiments, and experiments determine which theory is valid. In order to judge whether evidence is erroneous we must rely on theory-based expectations, and to judge the value of competing theories we rely on evidence. In science, experimenter's regress refers to a loop of dependence between theory and evidence. ( Learn how and when to remove this template message) ( August 2016) ( Learn how and when to remove this template message) Statements consisting only of original research should be removed. ![]() Please improve it by verifying the claims made and adding inline citations. This article possibly contains original research. ![]()
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