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.Goodhart's law (https://en.wikipedia.org/wiki/Goodhart's_law)My personal favorite Dilbert strips on Software Quality (https://medium.com/@nairgirish100/my-personal-favorite-dilbert-strips-on-software-quality-be90b46e2f04)Elisabeth Bik (https://en.wikipedia.org/wiki/Elisabeth_Bik)Homo economicus (https://en.wikipedia.org/wiki/Homo_economicus)Fabricated data in research about honesty. You can't make this stuff up. Or, can you? : Planet Money (https://www.npr.org/2023/07/27/1190568472/dan-ariely-francesca-gino-harvard-dishonesty-fabricated-data)Data Colada (https://datacolada.org/)[110] Data Falsificada (Part 2): "My Class Year Is Harvard" - Data Colada (https://datacolada.org/110)Max Bazerman's 2021 response to fraud evidence (http://datacolada.org/storage_strong/fraud.resonse.max_.8.13.21.pdf)Complicit (https://press.princeton.edu/books/hardcover/9780691236544/complicit)eLife (https://en.wikipedia.org/wiki/ELife)eLife Reviewed Preprints (https://elife-rp.msubmit.net/cgi-bin/main.plex?form_type=display_rev_instructions#process)Bad Pharma (https://en.wikipedia.org/wiki/Bad_Pharma)Significant (https://xkcd.com/882/)The Fall of a Superstar Psychologist (https://www.youtube.com/watch?v=Q3tSG8h_O3A)