AI Article Synopsis
- Henrich et al. don't critique enough; simply diversifying samples isn't sufficient for finding general principles.
- Broader contextual data collection is needed to make meaningful conclusions.
- The study shows that different contexts can significantly change results, even when sample diversity is applied.
Article Abstract
We argue that Henrich et al. do not go far enough in their critique: Sample diversification, while important, will not lead to the detection of generalizable principles. For that it will be necessary to broaden the range of contexts in which data are gathered. We demonstrate the power of contexts to alter results even in the presence of sample diversification.
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| http://dx.doi.org/10.1017/S0140525X10000063 | DOI Listing |
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