The Scientific method uses double-blind to try
to eliminate the placebo effect, observer bias, and experimenter's bias....
"Double-blind methods can be applied to any experimental situation where there is the possibility that the results will be affected by conscious or unconscious bias on the part of the experimenter."
So a scientists conscious or unconscious beliefs,
intentions affect the results of their experiments.
So a doctor's belief in a new drug and a patients
belief in a new drug both have an influence on
the positive or negative outcome of that drug...
Both influence the probability wave...If both
are positive they produce a higher probability of
success,they hit the fat end of the probability curve,if they are both negative they hit the low end of the probability curve.
Reality is a probability wave,it is not
objective and deterministic.......
"Double-blind trials Not to be confused with double bind, a type of dilemma in communication.
Double-blind describes an especially stringent way of conducting an experiment, usually on human subjects, in an attempt to eliminate subjective bias on the part of both experimental subjects and the experimenters. In most cases, double-blind experiments are held to achieve a higher standard of scientific rigor.
In a double-blind experiment, neither the individuals nor the researchers know who belongs to the control group and who belongs to the experimental group. Only after all the data have been recorded (and in some cases, analysed) do the researchers learn which individuals are which. Performing an experiment in double-blind fashion is a way to lessen the influence of the prejudices and unintentional physical cues on the results (the placebo effect, observer bias, and experimenter's bias). Random assignment of the subject to the experimental or control group is a critical part of double-blind research design. The key that identifies the subjects and which group they belonged to is kept by a third party and not given to the researchers until the study is over.
Double-blind methods can be applied to any experimental situation where there is the possibility that the results will be affected by conscious or unconscious bias on the part of the experimenter.
Computer-controlled experiments are sometimes also erroneously referred to as double-blind experiments, since software may not cause the type of direct bias between researcher and subject. Development of surveys presented to subjects through computers shows that bias can easily be built into the process. Voting systems are also examples where bias can easily be constructed into an apparently simple machine based system. In analogy to the human researcher described above, the part of the software that provides interaction with the human is presented to the subject as the blinded researcher, while the part of the software that defines the key is the third party. An example is the ABX test, where the human subject has to identify an unknown stimulus X as being either A or B."
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