Grace and David talk about fudging data, data illiteracy, misaligned incentives, and all the ways in which data is used and misused in science.

Note: this will be our last episode.

<a href="https://en.wikipedia.org/wiki/Goodhart&#x27;s_law" rel="nofollow">Goodhart&#039;s law</a>

<a href="https://medium.com/@nairgirish100/my-personal-favorite-dilbert-strips-on-software-quality-be90b46e2f04" rel="nofollow">My personal favorite Dilbert strips on Software Quality</a>

<a href="https://en.wikipedia.org/wiki/Elisabeth_Bik" rel="nofollow">Elisabeth Bik</a>

<a href="https://en.wikipedia.org/wiki/Homo_economicus" rel="nofollow">Homo economicus</a>

<a href="https://www.npr.org/2023/07/27/1190568472/dan-ariely-francesca-gino-harvard-dishonesty-fabricated-data" rel="nofollow">Fabricated data in research about honesty. You can&#39;t make this stuff up. Or, can you? : Planet Money</a>

<a href="https://datacolada.org/" rel="nofollow">Data Colada</a>

<a href="https://datacolada.org/110" rel="nofollow">[110] Data Falsificada (Part 2): &quot;My Class Year Is Harvard&quot; - Data Colada</a>

<a href="http://datacolada.org/storage_strong/fraud.resonse.max_.8.13.21.pdf" rel="nofollow">Max Bazerman&#39;s 2021 response to fraud evidence</a>

<a href="https://press.princeton.edu/books/hardcover/9780691236544/complicit" rel="nofollow">Complicit</a>

<a href="https://en.wikipedia.org/wiki/ELife" rel="nofollow">eLife</a>

<a href="https://elife-rp.msubmit.net/cgi-bin/main.plex?form_type=display_rev_instructions#process" rel="nofollow">eLife Reviewed Preprints</a>

<a href="https://en.wikipedia.org/wiki/Bad_Pharma" rel="nofollow">Bad Pharma</a>

<a href="https://xkcd.com/882/" rel="nofollow">Significant</a>

<a href="https://www.youtube.com/watch?v=Q3tSG8h_O3A" rel="nofollow">The Fall of a Superstar Psychologist</a>

We jump around from topic to topic with the discipline of a monkey mind. Birds, linguistics, computing and grad school may feature disproportionately.