- #36
Garth
Science Advisor
Gold Member
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The point about the BSE analogy was to show that two equally scientific answers can be valid even though they have the opposite effect. The answer depended on the question asked.SpaceTiger said:That analogy doesn't make any sense, as best I can tell. What the WMAP team is basically saying is that the standard model is consistent with data, based on solid observational evidence. You can't rephrase that to say that there is no evidence for the standard model.
That final statement is a bit loaded, I could respond by saying they are 'hawking' GR, but I will not. These theories, and any others, will stand or fall on experimental verification and falsification, there is no need to 'hawk' them. My point is that here is some interesting observations that should be discussed.And as I've already said, the standards for a posteriori statistics are usually much higher than three-sigma. If the WMAP team acknowledged those results as indicating the need for a new theory, it would be far more irresponsible than what they did say -- more evidence is required. If you ask me, there's a great deal more bias in your judgement on this issue than theirs. You have a specific theory you're trying to hawk, they do not.
There is a desire for a certainty that statistical evidence, such as from the analysis of the WMAP data, cannot bear.
The legitimate requirement for high-sigma verification of a statement is a desire to avoid false positives, however it has the inevitable consequence of increasing the chance of false negatives.
We just need to be aware of that fact.
Garth
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