Archive for statistical graphics

the flawed genius of William Playfair [book review]

Posted in Books, pictures, Statistics, University life with tags , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , on March 26, 2024 by xi'an

David Bellhouse has written a new book on the history of statistics, focussing on William Playfair this time (following his fantastic book on Abraham de Moivre). The Flawed Genius of William Playfair (The Story of the Father of Statistical Graphics) got published a few months ago by the University of Toronto Press.

“[Playfair] was an ideas man whose ideas often did not come to fruition; or, when they did, they withered or exploded.” [p.121]

The impressions I retained from reading this detailed account of a perfect unknown (for me) are of a rather unpleasant, unappealing, unsuccessful, fame-seeking, inefficient, short-sighted, self-aggrandising,  bigoted, dishonest, man, running from debtors for most of his life, with jail episodes for bankruptcy, while trying to make a living from all sorts of doomed enterprises, short-lived blackmailing attempts, and mediocre books that did not sell to many. Similar to David Bellhouse’s colleague earlier wondering at the appeal of exposing such a rogue character, I am left with this lingering interrogation after finishing the book

“[Richard] Price liked what Playfair had written. He found [in 1786] Playfair to be “agreeable” and “useful”.” [p.64]

Not that I did not enjoy reading it!, as it gives a most interesting of the era between the 18th and the 19th Centuries, in particular in its detailed narration of the first months of the French Revolution of 1789, and of the impact of the Industrial Revolution on economics and politics as the birth of capitalism. The book abounds in crossing lots of historical characters, like Richard Price (Bayes’s friend who published his most famous paper), Adam Smith (whose book Playfair reprinted with poor additions), Edward Gibbons (whose book along with Smith’s inspired the title of his Inquiry Into the Permanent Causes of the Decline and Fall of Powerful and Wealthy Nations), Thomas Malthus (competing for an annotated edition of Smith’s book), not to mention the political class of Britain at the time. David Bellhouse’s book demonstrates academic and historical excellence, constantly being very detailed, with a wealth of references, documents, and definite support for or against the rumours that accompany the life and deeds of Playfair. (Frankly, rarely a name has been that inappropriate!) This includes for instance the pictures pointing out to his first (?) forged signature [p.140] and the evacuation of the myth of Playfair as a spy for the British Crown—which the Wikipedia page happily reproduces, pointing out the need for an in-depth revision of said page. Similarly, the book delivered a convincing discussion of arguments for and mostly against Playfair “being the key player in the British operation to forge [French] assignats” towards destroying its economy. A lot of the book is touching upon the then novel issue of paper money, which Playfair only and negatively considered through his own (and catastrophic) experiences. At times, the book is almost too scholarly as it makes reading less fluid than was the case his Abraham de Moivre for instance. (And obviously less than in the contemporary Jonathan Strange & Mr. Norrel!)

It may be that my very relative lack of enthusiasm stems from the realisation that the story of Playfair is overall rather little connected with statistical inference, if not with descriptive statistics (albeit with a complete disregard for the quality and sources of his data), as when  publishing a Statistical Breviary on descriptive statistics for a series of countries (and surprisingly sold on Amazon!).  Or Statistical Account of the United States of America. And of course for his innovative graphical representations like the one represented on the cover of the book or the pie chart. I feel that the book is much more engaged in Playfair’s contributions to the then nascent science of economics, as for instant about the shallow and mostly misguided views of his’ on banking and running the economy, while conducting his personal finance and investments so disastrously that it negatively advertised against confidence in such views.

On a very personal level, I noticed that some graphs were provided by my friend and statistics historian Stephen Stigler [who also wrote a review of the book] while an analysis of the poor French involved in a coding scam of Playfair about Napoléon’s escape from Elba was by Christian Genest (whom I first met at a statistics conference dinner on the Lac de Neufchâtel in 1986).

[Disclaimer about potential self-plagiarism: this post or an edited version will eventually appear in my Books Review section in CHANCE. As appropriate for a book about Chance!]

 

Florence Nightingale´s 199th anniversary

Posted in Statistics with tags , , , , , , , on May 12, 2019 by xi'an

bad graph of the day

Posted in pictures, Statistics with tags , , , on March 15, 2016 by xi'an

A fairly meaningless graph in Le Monde about the comparative costs [per patient per year] of orphan and non-orphan diseases along the year. The evolution is impossible to capture and the ratio of the costs should be interpreted in terms of areas, when the cubic representation suggests volume…

graphics for the New York City marathon

Posted in Running with tags , , on November 1, 2015 by xi'an

Central Park, New York, Sep. 25, 2011As the first runners are starting the race in Staten Island, here are six graphics published in the NYT about the NYC marathon, pointed out to me by my friend Darren. The first one is a great moving histogram that I cannot reproduce here, following the four batches of runners. And the unbearably slow last runner! The second graph is an almost linear increase in the number of women running the race (which, by extrapolation, means that the NYC marathon will be an all-female race by 2068!). The third graph is a square version of a pie chart, which shows that the second largest contingent after the US runners is made of French runners (7%), way above Canadian runners (2.7%). The fifth graph shows spikes in the age repartition of the runners, at 30, 40, 50, and 60: since it is unlikely to be a reporting bias, unless id’s are not controlled when registering, which would be strange given the awards are distributed by five year block age groups, this may be due to people making a big case of changing decade by running the marathon or by runners who take advantage a new age group to aim for the podium. The latest explanation is very unlikely as it would only apply to elite runners and as it should also induce a spike at 35, 45, etc. (Incidentally, I checked the winner’s time in my category, 55-60, and last year a Frenchman won in 2:48:19, which means I would have to run at about the speed of my latest half-marathon to achieve this speed…) The last graph is also quite interesting as it follows the winning times for male and female runners against the current world record across years, showing that the route is not the most appropriate to break the record, in contrast with Berlin where several records got broken.

in the time of cholera

Posted in Books, Kids, pictures, Travel with tags , , , , , , , , , on April 6, 2014 by xi'an