June 26, 2017
Briefly
- A map of 1.3 billion taxi trips in New York, taking advantage of the underappreciated principle that there’s no point having more detail than the screen can display. Also, GPS error naturally gives an attractive glowing effect that you’d usually have to add in afterwards
- “In the summer of 2015, Alexandra Franco got a letter in the mail from a company she had never heard of called AcurianHealth. The letter, addressed to Franco personally, invited her to participate in a study of people with psoriasis, a condition that causes dry, itchy patches on the skin.” A story about creepy data-mining, from Gizmodo.
- From Scientific American, graphics showing daily, weekly, yearly patterns in number of births.
- From the New York Times: a new drug for muscular dystrophy. It costs about US$1 million per year, and the FDA is not really convinced it has an effect
- It’s time for the NZ Garden Bird Survey, which means it’s time for me to recommend their questions and answers page for its attention to principles of experimental design.
- “Death when it comes will have no sheep”. Last week it was hamster names; this week it’s proverbs. Look, save yourself some effort and just go directly to Janelle Shane’s blog rather than waiting for each post to go viral.
- “In Science, probability is more certain than you think.” Chad Orzel
Thomas Lumley (@tslumley) is Professor of Biostatistics at the University of Auckland. His research interests include semiparametric models, survey sampling, statistical computing, foundations of statistics, and whatever methodological problems his medical collaborators come up with. He also blogs at Biased and Inefficient See all posts by Thomas Lumley »
Andrew Gelman blogged about some graphical analysis of birthdays.
http://andrewgelman.com/2012/06/19/slick-time-series-decomposition-of-the-birthdays-data/
And NZ also has it’s highest rates of births in September and October as well so it’s not about it being a summer/winter issue
http://www.stats.govt.nz/birthday
7 years ago
For the Scientific American graph, people who look at the U.S. data annual distribution seem to invariably make some kind of comment about warmer/ colder months and conception, but I think it is to do with nearness to “the new year” and thinking about the future, because the New Zealand graph, which I replicated here
https://thoughtfulbloke.wordpress.com/2017/06/26/circular-banded-graphs-for-ggplot/
has the same pattern as the U.S. despite being seasonally opposite, while the birth annual pattern for Hong Kong and Macao is consistent with nearness to the Chinese New Year
7 years ago