wired.com/story/real-heroes-ha

"Bolnick investigated his original work and, in a horrified instant, recognized his mistake: a single miswritten line of computer code. [...]
Why do I recount this story? Because I think society ought to give Bolnick some sort of a prize. We need moral examples of people who can admit when they’re wrong. We need more Heroes of Retraction."

I don't know about "Heroes of Retraction", but I do find the expressed sentiment inspiring.

(via twitter.com/yletiede/status/96 )

Fascinating! Robert Boyle's mission objective list for "science" includes:

- "Art of Flying" [check]
- "practicable and certain way of finding Longitudes" [check]
- "Potent Druggs to alter or Exalt Imagination, Waking, Memory, and other functions, and appease pain, procure innocent sleep, harmless dreams" [getting there? kinda?]
- "Attaining Gigantick Dimensions" [what]
- "Varnishes perfumable by Rubbing" [WHAT]

blogs.royalsociety.org/history

"What Could Have Entered the Public Domain on January 1, 2018?
Under the law that existed until 1978 . . . Works from 1961"

law.duke.edu/cspd/publicdomain

via news.ycombinator.com/item?id=1

#ifttt2tweet

Can ppl boost this until somebody who knows #stats or #dataviz etc sees it?

I have a time series of numbers, sampled irregularly, typically between 1 and 6 samples a day. On a line graph, there's considerable jitter. If I want to smooth jitter and see trends on e.g. a 36-hour granularity level, but also not lose outliers in the smoothing, what's the best approach?

My idea: average samples in arbitrary 12-hour periods (am/pm), then apply a 36-hour moving average. But I don't know this stuff.

hello! I'm an applied maths M.Sc. student.

I have been Mastodon user for some time now (I'm semi-active at mathstodon.xyz/@aqsalose and bookwitty.social/@aqsalose ) but I'm still not sure if I've really grasped how Mastodon works ... after reading the Outline article theoutline.com/post/2689/masto I wanted take a look at some other instances too.

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