All data analysis projects must choose between different ways to analyze data. This is known as the garden of forking paths:

In practice, this means we must choose between many possible versions of our dataset. Every data processing step leads to a different final dataset.
Enter the multiverse:

Ignoring the multiverse can lead to undesirable actions/outcomes:
Cherry Picking

Pigeonholes

Ignoring the multiverse can lead to undesirable actions/outcomes:
Cherry Picking
Selectively reporting the analysis that shows your preferred result
Pigeonholes
Becoming constrained by overly rigid analysis criteria

