Answer:
Simpson's paradox
Step-by-step explanation:
Simpson's paradox, also known as the amalgamation paradox, is a statistical phenomenon that occurs when trends in a dataset appear to be reversed when the data is aggregated or combined in a certain way. This can happen when there are underlying factors or variables that are not taken into account, and the apparent trends in the data are actually an artifact of these underlying factors.
The paradox is named after statistician Edward Simpson, who first described it in a 1951 paper. It has been widely studied in statistics and has been observed in various fields, including economics, medicine, and social science.
The amalgamation paradox is not to be confused with other paradoxes, such as Eigen's paradox or Eigenvalue paradox, which are unrelated to statistical trends and patterns.