The article discusses how scientists test different ideas about populations, like the average or the likelihood of an event happening. They use a method called hypothesis testing, where they compare their idea (the null hypothesis) to an alternative. They use a number called a p-value to see if their idea is correct. If the p-value is small, it means their idea is likely wrong. If it's between 1% and 5%, they need to take a closer look.