P-values are often coupled to a significance or alpha (α) level, which is also set ahead of time, usually at 0.05 (5%). Thus, if a p-value was found to be less than 0.05, then the result would be considered statistically significant and the null hypothesis would be rejected.
It is a superstition that inspires terror. Researchers are terrified that if the gods don't favour them with significant p-values, their careers will collapse, while statisticians are terrified that someone will take a real-life decision based on a p-value. They know how p-values work!
When you perform a hypothesis test in statistics, a p-value helps you determine the significance of your results. The p-value is a number between 0 and 1 and interpreted in the following way: a small p-value (typically < 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis and you have found a significant result!
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