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by ippisl
5106 days ago
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I doesn't have to be dishonesty. It might just be bias(conscious or subconscious) not to waste time on this question. Even doctors show this kind of biases when advising people on choosing treatments(which is a much bigger moral issue). |
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1. Their data collection methods are biased against white boxes. Given the large sample size and the method of retrieving samples - automatically generated crash reports from users - I find this unlikely. They cover this point in section 3.2.1.
2. Their statistical analysis is flawed. I see no issues with it, nor did the reviewers. (Otherwise it wouldn't have been accepted.)
3. They lied. I am most skeptical on this one.
It's disingenuous to gesture at researchers and allege bias based on their employer without actually saying how they are biased. Doing so is not valid skepticism, but prejudice.