Project Sherlock

Statistics & Data Science

Data Literacy & Statistical Misuse

The failure modes — worth more practical attention than most of the theory.

11 topics · 16 curated works

Topics

Reading in Data Literacy & Statistical Misuse

16

A way in

  1. Start here

    No prior grounding assumed.

    The best stats you've ever seen

    Hans Rosling (TED) · 2007

    Shows with animated development data that the rich-world / third-world split stopped describing reality decades ago, and that aggregate categories…

    +2 more at this level

  2. Then

    Assumes you know the vocabulary.

    Why Most Published Research Findings Are False

    John P. A. Ioannidis · 2005

    Shows that under realistic assumptions about power, bias and prior probability, most published positive findings will not replicate.

    +9 more at this level

  3. Go deeper

    Primary sources and full treatments.

    The Interpretation of Interaction in Contingency Tables

    Edward H. Simpson · 1951

    Shows that an association present in every subgroup of a population can reverse when the subgroups are pooled, and that no purely arithmetical rule…

    +2 more at this level

12 of 16 works

Paper2017

A Manifesto for Reproducible Science

Marcus R. Munafò, Brian A. Nosek, Dorothy V. M. Bishop, Katherine S. Button, Christopher D. Chambers, Nathalie Percie du Sert, Uri Simonsohn, Eric-Jan Wagenmakers, Jennifer J. Ware & John P. A. Ioannidis

Sets out concrete institutional changes — pre-registration, registered reports, incentives tied to replication — needed to fix the practices behind the replication crisis, rather than treating it as a matter of individual researcher virtue.

link checked 17 Sept 2026

In order written

1886 – 2025
  1. 2007The best stats you've ever seenHans Rosling (TED)
  2. 2014The Statistical Crisis in ScienceAndrew Gelman & Eric Loken
  3. 2016The ASA's Statement on p-Values: Context, Process, and PurposeRonald L. Wasserstein & Nicole A. Lazar
  4. 2017Calling Bullshit: Data Reasoning in a Digital WorldCarl T. Bergstrom & Jevin D. West
  5. 2017A Manifesto for Reproducible ScienceMarcus R. Munafò, Brian A. Nosek, Dorothy V. M. Bishop, Katherine S. Button, Christopher D. Chambers, Nathalie Percie du Sert, Uri Simonsohn, Eric-Jan Wagenmakers, Jennifer J. Ware & John P. A. Ioannidis
  6. 2019Moving to a World Beyond "p < 0.05"Ronald L. Wasserstein, Allen L. Schirm & Nicole A. Lazar
  7. 2025The art and science of uncertaintyDavid Spiegelhalter (The Royal Institution)

Also covered elsewhere

This subject genuinely sits in more than one domain. These fields approach the same ground with different methods.

Elsewhere in Statistics & Data Science