Counterfactual analysis involves evaluating what alternative data conditions could exist by modeling different scenarios. This technique can help identify potential biases by comparing actual data outcomes with hypothetical scenarios where variables are controlled or modified. By understanding how changes in data input affect outcomes, organizations can identify sources of bias and adjust sourcing strategies to be more equitable.
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