Nickerson Confirmation Bias  Bias  Hypothesis
If an experiment does not confirm the hypothesis it was designed to test, which of the following is true of the experiment
Why we can't confirm the pollution haven hypothesis: …
Note: Why do we do this? Why not simply test the working hypothesis directly? The answer lies in the Popperian Principle of Falsification. Karl Popper (a philosopher) discovered that we can’t conclusively confirm a hypothesis, but we can conclusively negate one. So we set up a Null hypothesis which is effectively the opposite of the working hypothesis. The hope is that based on the strength of the data we will be able to negate or Reject the Null hypothesis and accept an alternative hypothesis. In other words, we usually see the working hypothesis in H_{A}.
If the F_{calculated} from the data is larger than the Fα, then you are in the Rejection region and you can reject the Null Hypothesis with (1α) level of confidence.
Scoring Rewards, my hypothesis (unconfirmed) : …
If we have already proposed several specific hypotheses about what may be the cause of an observed event, then using the Methods will be helpful,since that will often enable us to eliminate most of the possible causes we have identified, and this tends to confirm the hypothesis that any remaining circumstance is likely to be the genuine cause.
When the p value is 0.0001, it means that 1 out of 10000 times the data will surface as it did under the assumption of the null.Because we are confined to start with the null hypothesis only, hypothesis testing is not a fair application of Popperian logic of falsification.
Understanding Hypothesis Tests: Confidence Intervals …
There is one more point we haven't stressed yet in our discussion about the correlation coefficient r and the coefficient of determination r^{2} — namely, the two measures summarize the strength of a linear relationship in samples only. If we obtained a different sample, we would obtain different correlations, different r^{2} values, and therefore potentially different conclusions. As always, we want to draw conclusions about populations, not just samples. To do so, we either have to conduct a hypothesis test or calculate a confidence interval. In this section, we learn how to conduct a hypothesis test for the population correlation coefficient ρ (the greek letter "rho").
For Popper, a scientific method is "proposing bold hypotheses, and exposing them to the severest criticism, in order to detect where we have erred." (Popper, 1974, p.68) If the hypothesis can stand "the trial of fire," then we can confirm its validity.
Today we can still find the influence of Popperian principle of falsification in statistical terminology.
What's a Hypothesis?  Caseinterview

Confirm Synonyms, Confirm Antonyms  Merriam …
01/12/2009 · STATS Hypothesis testing, z score or ttable value?? Reject/ confirm null hypothesis?

Hypothesis  Definition of Hypothesis by Merriam …
Hypothesis  Wikipedia

S Andrew Swann's Proposal  SCP Foundation
A hypothesis (plural hypotheses) is a proposed explanation for a phenomenon