On the danger of ignoring small data sets

๐Ÿ’Ž On the danger of ignoring small data sets (almost killing Nokia)

The ethnographer Tricia Wang even suggested in her 2016 TEDxCambridge talk that quantifications bias created by big data led to the near death of Nokia as a handset manufacturer. All their data suggested that people would only spend a certain proportion of their salary on a phone handset, so the market for smartphones in the developing world would be correspondingly small. Wang noticed that, once people saw a smartphone, their readiness to spend on a handset soared. Her findings were ignored as she had ‘too few data points’. However, in reality, all valuable information starts with very little data — the lookout on the Titanic only had one data point… ‘Iceberg ahead’, but they were more important than any huge survey on iceberg frequency.

Excerpt from: Alchemy: The Surprising Power of Ideas That Don’t Make Sense by Rory Sutherland

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