Final answer:
Two correlated events tend to happen together, but this does not imply that one event causes the other. Correlation indicates a statistical relationship, not a causal one, and additional analysis is needed to establish causation.
Step-by-step explanation:
If two events are correlated, it must be true that the events tend to happen together. This means that there is a statistical relationship between the two events, indicating that when one event occurs, the other is more likely to occur as well. However, correlation does not imply causation. The existence of a correlation does not necessarily mean that one event is the cause of the other. Instead, there could be other factors or variables causing both events, or the correlation could be purely coincidental.
A commonly cited example to illustrate this point is the correlation between ice cream sales and burglary rates. These two events may show a positive correlation because they both increase during warmer weather, but this does not mean that ice cream sales cause burglaries or vice versa. It's more likely that the warmer weather is a confounding variable which is affecting both events simultaneously. Hence, while they are correlated, they do not necessarily cause each other.
To determine if two events are causally deterministic, one would need to look for evidence that the presence or occurrence of one event directly influences the occurrence of the other, typically through experimentation or more rigorous statistical analysis that can account for other variables.