Statistics of Social Spiders: postscript

Some new information has just scuttled across my desk!

It seems that there is in fact a type of social spider, and a recent paper in the Proceedings of the Royal Society has looked at the role of social interaction amongst these creatures (Stegodyphus Mimosarum).

http://www.the-scientist.com/?articles.view/articleNo/39577/title/Behavior-Brief/

This is all very well, but has someone counted these spiders up and ascertained if the counts fit a Poisson distribution (e.g. are these spiders Poisson-ous (!!!), or some other distribution, (and what are their views on competing sundew plants?)

 

Laskowski KL, Pruitt JN (March, 2014). Evidence of social niche construction: persistent and repeated social interactions generate stronger personalities in a social spider. Proc Royal Society B.

Spiders, sowbugs and sundew statistics

Statisticians often like to think that non-statisticians don’t know what exactly it is that we do. The truth is of course that not only do they not know, they do not particularly care! With the possible exception of someone like Nat ‘2012 US election’ Silver, what statisticians are thought to do is about as exciting as driving around in  cardigan and slippers in a two-tone ’74 Morris Marina with no radio.

But what  if statisticians went around ripping up floorboards and counting up spiders? Now you’re talking!!

Back in ’46 a scientist named LC Cole published some data on counts of spiders, and sowbugs, (or woodlice, roly poly’s or slaters).

Cole and various bright sparks ever since, had the idea of fitting the spider / sowbug counts to various types of probability distribution. Voila!, it was found that spider counts could be quite happily fitted by the Poisson distribution, as can the number of typewriter errors made on a page, the number of people killed by horse kicks in the Prussian cavalry, etc etc.

But not sowbug counts, which are better fitted by a ‘contagious distribution’, such as the ‘generalized Poisson’ or ‘generalized Negative binomial’, in which the event of something happening is itself dependent on other events. Sowbugs, it seems are a social breed, and when they notice their numbers dwindling, to the point where there’s only one or two left, they pick up sticks and try the house down the road, in search of other sowbugs, if not adventure.

Spiders, on the other hand, are more individualistic or anti-social and don’t care if they’re left by themselves.  (In fact they probably appreciate the peace and quiet after those pesky sowbugs have marched off elsewhere, unless of course the spiders belong to the  type known as woodlouse spiders or sowbug hunters, which is a very different kettle of fish, or spiders, altogether, as are ‘shy spiders’and ‘social spiders’)

Finally, a paper published in the journal of the highly prestigious Royal Society in 2010 found that carnivorous wolf spiders (Lycosidae) and pink sundew plants (Drosera capillaris) competed with each other for available food, in statistically interesting ways, indeed the lead author described the study as ‘awfully fun’ http://www.livescience.com/8566-plant-spider-compete-food.html
http://www.americanscientist.org/issues/pub/2010/6/in-the-news-30
http://ittakes30.wordpress.com/2010/10/25/feed-me-seymour/

So, next time someone asks (without really caring what the answer is) ‘just what is it that statisticians actually do.?….’.

[updated, 9 October 2016]

References

Cole LC (1946) A study of the cryptozoa of an Illinois woodland. Ecological Monographs, 16, 49-86.

Consul PC (1989) Generalized Poisson distributions. Marcel Dekker, New York.

Forbes C, Evans M et al (2011) Statistical distributions. 4th ed. Wiley, Hoboken, New Jersey.

Janardan KG et al. (1979). Biological applications of the Lagrangian Poisson distribution. BioScience, 29, 599-602.
Jennings DE et al. (2010). Evidence for competition between carnivorous plants and spiders. Proc Royal Society B, 277, 3001-3008.

Raja TA, Mir AH (2011). On applications of some probability distributions. Journal of Research & Development, 11, 107-116.

Happy Numbers

Why there are so very few statisticians as heroes (or even dashing villains) in novels is a pop culture mystery even bigger than the true identity of reggae magicians Johnny and the Attractions, or the actual final resting place of Butch and Sundance.

I have heard of, but don’t have, the 2008 novel Dancing with Dr Kildare, which features British medical statistician Nina, as well as the Finnish composer Sibelius, and the Tango, by Jane Yardley PhD, in real life a co-ordinator of medical trials for a small pharma.

http://onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2009.00341.x/abstract.

http://www.transworld-publishers.co.uk/catalog/book.htm?command=Search&db=twmain.txt&eqisbndata=0552773107

I’m now performing statistical consulting at two major hospitals so I’m about to re-read that wonderful book by major scriptwriter / drama writer Jim Keeble ‘The Happy Numbers of Julius Miles’, originally published in 2012 by independent outfit Alma

http://www.almabooks.com/the-happy-numbers-of-julius-miles-p-387-book.html

but there seems to be an April 2014 printing for the US.

It’s a great book about a big fellow, Julius Miles, a professional statistician with Barts Health NHS Trust, Royal London Hospital, Whitechapel, East London, England. Julius loves stats – nose-counting ones such as the fact that it takes him 2 minutes to polish his shoes (with 30 seconds airing between polish, application and buff), as well as meaty methods such as multilevel Poisson regression for length of hospital stay.

Julius is about 1.93 metres (6 foot 4 inches) and wears size 13 (UK) shoes, a solid fellow (although   not reminiscent of the solid Ignatius Reilly in John Kennedy Toole’s classic posthumous 1980  novel ‘A Confederacy of Dunces’).

There’s something about the name Julius, Julius Sumner Miller the US physicist and educator whose ‘Why is it so?’ ran on Australian TV for over 20 years from the 1960’s, and the frothy US drink Orange Julius, named after Julius Freed, around since 1926, taking off in ’29 (the official drink of the 1964 New York World’s Fair).

I can thoroughly recommend this colourful & warm book about Julius Miles, medical statistician.