If your data sources are corrupted by the halo effect, it doesn't matter how much data you have gathered, or how sophisticated your methodology was.
Data quality and quantity are equally important when it comes to research. If one takes a wrong assumption and backs it up with some numbers, the conclusion cannot be taken seriously.
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