More on Cause and Effect

The textbook goes into further detail on analysis on cause and effect. It talks about: how to look for the cause, cause and effect in populations – controlled experiment: cause-to-effect, uncontrolled experiment: cause-to-effect, and uncontrolled experiment: effect-to-cause. In looking for a cause and if there are conjecture possible causes then by experiment eliminate them until there is only one left. Check that one: Does it make a difference? If that cause is eliminated, is there still the effect? Could there be a common cause? Cause in populations is explained as given the cause, the effect would have a higher probability in happening. In a controlled experiment: cause-to-effect, we tested the same number at random for the cause and see what the effect would be. For uncontrolled experiment, we just take random testing to see the cause-to-effect would be like. For uncontrolled experiment: effect-to-cause, we start with the effect in the population and try to account what the cause was. It was interesting to learn how to isolate cause and effect and sometimes it turn out there are multiple causes that finding the cause would be too difficult to find the only cause for certain events.