Race and IQs

[Huggy Bear]

I personally feel that it is worthwhile considering the bias of the researchers but it only serves as a hint as to what they are deliberately ignoring if they are  clearly biased. The bias is not itself reason to dismiss the evidence and I think that was Jor's point. Science works by providing evidence. And if you suspect that a study is biased then you have good reason to look for and expect to find counter-evidence to refute it.

Actually, I was defending myself against CapnAwesome's counterpoint, and put my mouth in motion before putting my brain in gear.  I do however hold to my second point that Huggy is effectively trying to kill the message -- meaning the hypothesis that there are inherent differences -- by shooting the messenger -- the advocates and research of those supporting the hypothesis.  If I had not been kneejerk reacting to CapnAwesome's challenge, that would have been the point I should have made.  That being said, I still hold to that second point.  As a matter of logic, refuting the evidence for A is not evidence for its opposite B.  That is a classic argument from ignorance, and unless B is independently supported, we have no reason to conclude B based upon the refutation of a particular argument or piece of evidence for A.  Tuskegee airmen and the intelligence of African immigrants doesn't do it for me.  If Huggy's contention is that the races are inherently equal in intelligence, I've yet to see good evidence for that.  So the question is, Huggy, are you saying that you believe the inherent intelligence of the races is equal, and if so, what justification do you have for that belief?

*emphasis mine*

https://en.wikipedia.org/wiki/Null_hypothesis

The null hypothesis and the alternate hypothesis are types of conjectures used in statistical tests, which are formal methods of reaching conclusions or making decisions on the basis of data. The hypotheses are conjectures about a statistical model of the population, which are based on a sample of the population. The tests are core elements of statistical inference, heavily used in the interpretation of scientific experimental data, to separate scientific claims from statistical noise.

"The statement being tested in a test of statistical significance is called the null hypothesis. The test of significance is designed to assess the strength of the evidence against the null hypothesis. Usually, the null hypothesis is a statement of 'no effect' or 'no difference'." It is often symbolized as H0.

The statement that is being tested against the null hypothesis is the alternative hypothesis. Symbols include H1 and Ha.

Statistical significance test: "Very roughly, the procedure for deciding goes like this: Take a random sample from the population. If the sample data are consistent with the null hypothesis, then do not reject the null hypothesis; if the sample data are inconsistent with the null hypothesis, then reject the null hypothesis and conclude that the alternative hypothesis is true."

Do you possess some information that gives you reason to believe there are inherent differences in races intellectually?