Finally, an explanation: https://www.smbc-comics.com/comic/robins
Disney's multiplane camera:
https://www.wired.com/story/real-heroes-have-the-guts-to-admit-theyre-wrong/
"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 https://twitter.com/yletiede/status/963773322017296384 )
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]
https://blogs.royalsociety.org/history-of-science/2010/08/27/robert-boyle-list/
A Norwegian University Student Used a Spy Camera in This Amazing Example of 19th Century Street Photography
http://www.thisiscolossal.com/2018/01/19th-century-norwegian-street-photography/ https://scholar.social/media/1Cp8-HPUfnXeW0yadaM https://scholar.social/media/qJaegUjoPW_YyT8XG-M
"What Could Have Entered the Public Domain on January 1, 2018?
Under the law that existed until 1978 . . . Works from 1961"
https://law.duke.edu/cspd/publicdomainday/2018/pre-1976/
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 https://mathstodon.xyz/@aqsalose and https://bookwitty.social/@aqsalose ) but I'm still not sure if I've really grasped how Mastodon works ... after reading the Outline article https://theoutline.com/post/2689/mastodon-makes-the-internet-feel-like-home-again I wanted take a look at some other instances too.
Maths M.Sc. student!
Elsewhere in the fediverse:
mathstodon.xyz/@aqsalose (main account)
bookwitty.social/@aqsalose