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Data fishing, sometimes referred to as data dredging or p-hacking, is a significant concern in the realm of data analysis, particularly in the context of Indian local products. In India, the market for indigenous goods such as handloom textiles, spices like turmeric and cardamom, and agricultural products like basmati rice is vast. When analyzing sales data for these items, data fishing can occur if researchers or businesses test multiple hypotheses without proper statistical controls, leading to false correlations. For instance, a study might incorrectly link the sale of Indian silk sarees to unrelated economic factors, misleading stakeholders. This practice undermines the integrity of data-driven decisions, which is crucial for promoting authentic Indian products in global markets. To combat this, Indian industries are adopting stricter data governance and transparency measures. |
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