Whaouh, I didn’t remember there being so many papers out about it:

• Wasserstein, R.L. and Lazar, N.A., 2016. The ASA’s statement on p-values: context, process, and purpose. The American Statistician, 70(2), pp.129-133.
• Baker, M., 2016. Statisticians issue warning over misuse of p-values. Nature News, 531(7593), p.151.
• Altman, N. and Krzywinski, M., 2016. Points of significance: p-values and the search for significance.
• Benjamin, D.J., Berger, J.O., Johannesson, M., Nosek, B.A., Wagenmakers, E.J., Berk, R., Bollen, K.A., Brembs, B., Brown, L., Camerer, C. and Cesarini, D., 2018. Redefine statistical significance. Nature Human Behaviour, 2(1), p.6.
• McShane, B.B., Gal, D., Gelman, A., Robert, C. and Tackett, J.L., 2019. Abandon statistical significance. The American Statistician, 73(sup1), pp.235-245.

Full links available here, found via O’Reilly Data Newsletter.

Coursera à la Google: Best practices for ML engineering, found via O’Reilly Data Newletter (see the associated matrerial on ML).

Rethinking Twitter. Fair points, although I don’t share his views on the “Like” feature. I’ve used it a lot in the past (and still today) to bookmark links, instead of storing them on yet another social sharing website.

Another nice post by John D. Cook on differential privacy: Comparing Truncation to Differential Privacy.

Falsehoods programmers believe about Unix time. Or why you need to worry about leap seconds.

It’s been 10 years that I subscribed to GitHub (and a little less to Bitbucket), and I’m slowly rewriting (yet another time) and uploading my past lecture notes to public or private external repositories (--theirs in git parlance). That’s quite an exhausting fucking life, isn’t it? I hope I will done for good with my past (life) after all that…

  New Order, Movement.

Still the same routine after 3 months, I’m afraid it doesn’t get any better: when I get home, I’m useless and all I have to do is rest for at least 1h30.

Another nice post on diffusion models: Going Critical. See also this older post of mine. #dataviz

Things you’re probably not using in Python 3 – but should (via @newycombinator). #python