Further to my previous comments on the Science March, the graph below shows the (somewhat dubious) attendance estimates from Wikipedia for various cities (excluding vague counts like “thousands”), compared to the power-law predictor 0.47 D1.49 P0.78, where D is the fraction of the relevant state voting for Clinton last year (from Wikipedia), and P is the city population (also from Wikipedia).
The population P predicts 56% of the variance in turnout (not surprisingly), and D an additional 7%. Both factors were significant (p = 0.000000055 and p = 0.014 respectively). Prediction could probably be improved by using metro area population numbers for the cities, by using metro area election results (rather that state results), and by adding factors indicating the number of other marches in the relevant state (Colorado Springs, for example, was rather overshadowed by Denver) and the presence of universities (Ann Arbor, for example, is a university town). But the basic messages seem to be: Democrat voters do not like Donald Trump and Large cities attract large crowds. It would be interesting to compare the numbers here against other recent political marches which focused on different issues.
Someone recently pointed me at Camille and Kennerly Kitt, the so-called “Harp Twins” (above). I admire anybody who “thinks outside the box,” and these young women have clearly left the “box” of traditional harp-playing several light-years behind.
Their rather eclectic oeuvre includes film, game, and TV tie-ins (from e.g. Lord of the Rings or The Legend of Zelda); rock, folk, and pop classics (like “Hotel California” or “House of the Rising Sun”); metal (from bands like Iron Maiden or Metallica); and other music (such as “Amazing Grace” and “Scarborough Fair”). They have just started releasing their own compositions. The chart below summarises their releases by genre (data taken from Wikipedia, so probably incomplete).
Inspired by a classic XKCD cartoon, the infographic above shows the year of publication and of setting for several novels, plays, and films.
They fall into four groups. The top (white) section is literature set in our future. The upper grey section contains obsolete predictions – literature (like the book 1984) set in the future when it was written, but now set in our past. The centre grey section contains what XKCD calls “former period pieces” – literature (like Shakespeare’s Richard III) set in the past, but written closer to the setting than to our day. He points out that modern audiences may not realise “which parts were supposed to sound old.” The lower grey section contains literature (like Ivanhoe) set in the more distant past.
The infographic above (fourth in the series) shows solar car teams that are likely to be entering in the World Solar Challenge this October, with my estimate of reported current progress (on a red–amber–green scale), taking into account recent social media updates. The team list has also been updated, and has a simpler traffic-light version ( ) of these estimates. For teams with ongoing campaigns on GoFundMe, KickStarter, and the like (see links in the list), between 2% and 33% of desired funds have been raised.
Several teams have new visible signs of construction, ANU has signed up a major sponsor, and Twente has released a cool video of their new car, Red Shift. Beijing has been very quiet, but they always are. Slovakia has become quiet, and I’m beginning to wonder if they’re actually building a car. Best of luck to all the teams, however!
Six months to go to the World Solar Challenge, and the infographic above (third in the series) shows solar car teams that are likely to be entering in the World Solar Challenge this October, with my estimate of reported current progress (on a red–amber–green scale), taking into account recent social media updates. The team list has also been updated, and has a simpler traffic-light version ( ) of these estimates.
Since the last update, a few teams have started construction. Twente has revealed their new design (with more details in Dutch). Two Egyptian teams have been added to the list, but they have a lot to do before the big event, and I’m not sure if they will make it.
Above, as an experiment, is a diagram of geological eras and epochs, based on this Geological Society of America chart. The background image is from here. The diagram was constructed using fairly standard R, together with the XKCD font.
I recently stumbled across the Data Science Africa blog, which provides a focal point for data scientists in Africa, especially for users of R. As well as notices of meetings, there are several interesting posts, like this one on flooding in Ghana: