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The Distribution of Ratings Assigned to Blind Replicates

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  • Bodington, Jeffrey C.

Abstract

The inability of many wine judges to achieve perfect consistency by assigning the same rating to the same wine in a blind tasting is well established. Results for four wine tastings that include blind replicates are examined in this article. Although perfection is rare, the probability distributions of those results show that wine judges do tend to assign closer ratings to replicates than is likely due to chance alone. Approximately one-third of judges assign ratings that are within one rank of perfect consistency, and two-thirds assign ratings within two ranks of perfect consistency. This finding is sensitive to judges’ capabilities, the mechanics of the tasting protocol, and the extent to which the replicate is different from other wines in the tasting. Much wine-related research to date takes judges’ individual ratings as deterministic, yet these results show that those ratings are stochastic. These results yield a probability distribution that may guide future research concerning the uses and economic implications of wine ratings. (JEL Classifications: A10, C10, C00, C12, D12)

Suggested Citation

  • Bodington, Jeffrey C., 2017. "The Distribution of Ratings Assigned to Blind Replicates," Journal of Wine Economics, Cambridge University Press, vol. 12(4), pages 363-369, November.
  • Handle: RePEc:cup:jwecon:v:12:y:2017:i:04:p:363-369_00
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    Citations

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    Cited by:

    1. Olivier Gergaud & Victor Ginsburgh & Juan D. Moreno-Ternero, 2020. "Wine Ratings," Working Papers ECARES 2020-38, ULB -- Universite Libre de Bruxelles.
    2. Barberà, Salvador & Bossert, Walter & Moreno-Ternero, Juan D., 2023. "Wine rankings and the Borda method," Journal of Wine Economics, Cambridge University Press, vol. 18(2), pages 122-138, May.
    3. Gergaud, Olivier & Ginsburgh, Victor & Moreno-Ternero, Juan D., 2021. "Wine Ratings: Seeking a Consensus among Tasters via Normalization, Approval, and Aggregation," Journal of Wine Economics, Cambridge University Press, vol. 16(3), pages 321-342, August.
    4. Bodington, Jeff, 2021. "A Maximum Entropy Estimate of Uncertainty about a Wine Rating," Working Papers 321847, American Association of Wine Economists.

    More about this item

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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