If there's strong positive correlation between two variables X and Y, is it fine to conclude that increasing one (X) will lead to increase in the other (Y)?
I found some humorous examples that show that correlation does not imply causation here. Let's consider this one:
Does this mean if many couples decide to marry in Kentucky then the number of people who drown will also increase?
What about a sensible example like "Correlation between positive news and stock prices"? Suppose the correlation is again 95.24%. If the amount of positive news increases, will it be okay to conclude that the stock prices will increase too? If yes in this case, then how exactly does one distinguish between this example and the one above?