QUESTION 1 "Cause and effect" relationships may be discovered in both genuine correlations and spurious correlations.
True
False

Correlation and causality can seem deceptively similar. But recognizing their differences can be the make or break between wasting efforts on low-value features and creating a product that your customers can’t stop raving about.

In this piece we are going to focus on correlation and causation as it relates specifically to building digital products and understanding user behavior. Product managers, data scientists, and analysts will find this useful for leveraging the right insights for product growth, such as whether certain features impact user retention or engagement.

He was probably very upset and disapointed and mad. all at once. so he probably wanted to show his disapointment, angryness, and depression. he didn't think of the affects due to the minor issue thst he has gone through. sorry if it doesn't . but i am trynna people.