In science, objectivity refers to attempts to do higher quality research by eliminating personal biases (or prejudices), irrational emotions and false beliefs, while focusing mainly on proven facts and evidence.
For example, Newton's law of universal gravitation appears to be the norm for the attraction between celestial bodies, but it was later refined and extended—and philosophically superseded—by the more general theory of relativity.
The scientific method was argued for by Enlightenment philosopher Francis Bacon, rose to popularity with the discoveries of Isaac Newton and his followers, and continued into later eras.
[1]: 55–58 This ideal was practiced by Enlightenment naturalists and scientific atlas-makers, and involved active attempts to eliminate any idiosyncrasies in their representations of nature in order to create images thought best to represent "what truly is".
[2]: 81 The aim was to liberate representations of nature from subjective, human interference and in order to achieve this scientists began using self-registering instruments, cameras, wax molds, and other technological devices.
[1]: 121 In the twentieth century trained judgment[1]: 309 supplemented mechanical objectivity as scientists began to recognize that, in order for images or data to be of any use, scientists needed to be able to see scientifically; that is, to interpret images or data and identify and group them according to particular professional training, rather than to simply depict them mechanically.
[attribution needed] Next to unintentional and systematic error, there is always the possibility of deliberate misrepresentation of scientific results, whether for gain, fame, or ideological motives.
Through ad hoc variations to the theory and sympathetic interpretation of the data, supporting scientists will resolve the apparent conundrum.
[5] Kuhn's theory has been criticised by scientists such as Richard Dawkins and Alan Sokal as presenting a relativist view of scientific progress.