This article contains some serious p-value abuse. The p-value should be adjusted to account for multiple testing. You do this to minimise the effect that a hypothesis would be accepted purely due to random chance.
Try setting your p-value to your Type 1 error rate divided by the number of tests you perform. It will be much smaller, and this is a good thing. Significance should really test for significance, not random chance.
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This article contains some serious p-value abuse. The p-value should be adjusted to account for multiple testing. You do this to minimise the effect that a hypothesis would be accepted purely due to random chance.
Try setting your p-value to your Type 1 error rate divided by the number of tests you perform. It will be much smaller, and this is a good thing. Significance should really test for significance, not random chance.