I thought the section in chapter 15 about cause and effect in populations was interesting and easy to read and understand.
Cause in populations: given the cause, there’s a higher probability that the effect will follow than if there were not the cause
For example: Studying gets you higher grades.
*In relation to cause in population, people who study will have a much higher probability of receiving a higher grader than people who do not study.
1. Using a controlled experiment: cause-to-effect, we can use a control group of students who will not study and another group who will. Using a control group shows that, at least statistically, the cause makes a difference.
2. Using an uncontrolled experiment: cause-to-effect, we start with the suspected cause (of studying) and see if the effect follows (higher test grade). Though it’s uncontrolled: some people may only study for a certain amount of time, some people may already be knowledgeable about the subject, etc.
3. Using an uncontrolled experiment: effect-to-cause, we start with the effect in the population and try to account for how it got there. We would pick out all the high-grade tests to see if there is some common thread with the students’ studying that got them such a high grade.
