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Causalization is the process of establishing a cause-and-effect relationship between variables in a study or experiment. It involves determining whether changes in one variable directly lead to changes in another variable, or if the relationship between the variables is coincidental. Causalization is important for understanding the underlying mechanisms at play and making informed decisions based on the results.
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