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To answer questions like this, we need to understand the difference between correlation and causation. Correlation means there is a relationship or pattern between the values of two variables. ... Causation means that one event causes another event to occur.
While cause and association may occur simultaneously, correlation does not imply causation. Causation specifically applies to circumstances in which behavior A causes effect B. Correlation is merely a correlation, on the other hand. Activity A corresponds to Action B, but the other event is not necessarily triggered by one case.
A new update of your mobile app has just been released. You make the main bet that in-app social habits are correlated with user retention with your software. You are telling the staff to build a new feature that encourages users to enter "communities."
Adoption sits at around 20 percent of all users one month after you release and reveal the latest community functionality. You create two equal-sized cohorts of randomly chosen users, curious about what groups affect retention. One group has only users who have joined groups, while the other cohort has only users who have not joined communities.
The Agricultural Adjustment Act was implemented under FDR's New Deal and was meant to increase the price of crops. It's main shortcoming was that it "curtailed the agricultural output and affected exports."
