Data Fallacies to Avoid
1. Cherry Picking: Selecting results that fit your claim and excluding those that don't 2. Data Dredging: Repeatedly testing new hypotheses against the same set of data; failing to acknowledge that most correlations will be the result of chance. 3. Survivorship Bias: Drawing conclusions from an incomplete set of data becasue that data has "survived" some selection criteria.