Answer:
No.
Step-by-step explanation:
Different studies have different biases and confounding effects, sometimes known or discovered, sometimes not. One of the confounding effects rarely accounted for properly is the bias of the experimenter. As a consequence, statistical significance cannot be assured in the study of an effect, even though an effect is real and reliable.
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See Cleve Baxter's book Primary Perception for a more in-depth discussion of experimenter bias.
