Archive for cholera

a journal of the elderberry father

Posted in Books, Kids, Mountains, pictures, Travel, Wines with tags , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , on August 15, 2025 by xi'an

Read The Thousand Autumns of Jacob de Zoet by David Mitchell, which takes place in 1799 at the Dutch East India Company trading post Dejima in Nagasaki, with Jacob de Zoet being a young Dutch trader. There are a lot of threads, from the Tokugawa closure of Japan to foreigners (called sakoku), to the hidden Christians, to the mutual xenophobia of Dutch and Japanese officials, to the emergence of a global commercial system (with de Zoet carrying Adam Smith in his travel box), to supernatural powers of zen monks, &tc., &tc… As The Guardian puts it,  “the final effect is confused. The main problem seems to be that Mitchell hasn’t decided if he’s writing a straight historical novel, a grandly themed fable or a cheerfully trashy romp.” Also read a BD taking on Animal Farm, called Animal Castle where the dictator is a massive bull and the enforcers Dobermanns. With a modern twist and both humour and resistance in the face of tyranny.

Made more rhubarb preserve, more galettes and more almond butter. Of which the later may have costed me dear since a parking car presumably damaged my most useful bike to a point of no repair, while I was purchasing those almonds. (I ended up find a used and cheap version of my light city bike to be cannibalised for parts.) I also tried to make the galettes on a traditional cast iron billig (pancake pan), but could not keep the galettes from sticking. And became a Holy Grail father by making a jar of elderberry jelly out of the berries growing from an old elder in our garden, a first attempt if the last type of berry I made use of! It proved rather time-consuming from collecting the berries on high branches to combing them from the stems, to cleaning them and to finally press them into a juice (that need be well-boiled to avoid poisonous cyanide effects!). Also made a few jars of blackberry jam out of invading vines from a deceased neighbour’s garden, which took about a tenth of the time necessary for the elderberry jelly.

Watched Old Guard 2, irremediably terrible (in The Guardian‘s terms, “this delayed Netflix sequel is an incomplete mess”). And the 2009 Japanese series Jin, another time-trap scenario when a character gets sucked into an earlier era (1860’s Edo Japan in this case) and brings changes while trying to avoid impacting the current era. As a neurosurgeon having to fight cholera with no drugs. Enjoyable enough, with a crazy samurai reminding me of Mifune Toshirō.  Apart the soapy parts and the long periods when the surgeon stares at the sun (without turning blind). But not as funny as the South Korean Mr. Queen. However it made me aware of the time when the Tokugawa shogunate ended and the Meiji Imperial Government took over. The characters include historical figures like Katsu Kaishū and Sakamoto Ryōma. I also discovered how much France and Britain were involved in this transition.

The Effect [book review]

Posted in Books, R, Running, Statistics, University life with tags , , , , , , , , , , , , , , , , , , , , , on March 10, 2023 by xi'an

While it sounds like the title of a science-fiction catastrophe novel or of a (of course) convoluted nouveau roman, this book by Nick Huntington-Klein is a massive initiation to econometrics and causality. As explained by the subtitle, An Introduction to Research Design and Causality.

This is a hüûüge book, actually made of two parts that could have been books (volumes?). And covering three langages, R, Stata, and Python, which should have led to three independent books. (Seriously, why print three versions when you need at best one?!)  I carried it with me during my vacations in Central Québec, but managed to loose my notes on the first part, which means missing the opportunity for biased quotes! It was mostly written during the COVID lockdown(s), which may explain for a certain amount of verbosity and rambling around.

“My mom loved the first part of the book and she is allergic to statistics.”

The first half (which is in fact a third!) is conceptual (and chatty) and almost formula free, based on the postulate that “it’s a pretty slim portion of students who understand a method because of an equation” (p.xxii). For this reader (or rather reviewer) and on explanations through example, it makes the reading much harder as spotting the main point gets harder (and requires reading most sentences!). And a very slow start since notations and mathematical notions have to be introduced with an excess of caution (as in the distinction between Latin and Greek symbols, p.36). Moving through single variable models, conditional distributions, with a lengthy explanation of how OLS are derived, data generating process and identification (of causes), causal diagrams, back and front doors (a recurrent notion within the book),  treatment effects and a conclusion chapter.

“Unlike statistical research, which is completely made of things that are at least slightly false, statistics itself is almost entirely true.” (p.327)

The second part, called the Toolbox, is closer to a classical introduction to econometrics, albeit with a shortage of mathematics (and no proof whatsoever), although [warning!] logarithms, polynomials, partial derivatives and matrices are used. Along with a consequent (3x) chunk allocated to printed codes, the density of the footnotes significantly increases in this section. It covers an extensive chapter on regression (including testing practice, non-linear and generalised linear models, as well as basic bootstrap without much warning about its use in… regression settings, and LASSO),  one on matching (with propensity scores, kernel weighting, Mahalanobis weighting, one on  simulation, yes simulation! in the sense of producing pseudo-data from known generating processes to check methods, as well as bootstrap (with resampling residuals making at last an appearance!), fixed and random effects (where the author “feels the presence of Andrew Gelman reaching through time and space to disagree”, p.405). The chapter on event studies is about time dependent data with a bit of ARIMA prediction (but nothing on non-stationary series and unit root issues). The more exotic chapters cover (18) difference-in-differences models (control vs treated groups, with John Snow pumping his way in), (19) instrumental variables (aka the minor bane of my 1980’s econometrics courses), with double least squares and generalised methods of moments (if not the simulated version), (20) discontinuity (i.e., changepoints), with the limitation of having a single variate explaining the change, rather than an unknown combination of them, and a rather pedestrian approach to the issue, (iv) other methods (including the first mention of machine learning regression/prediction and some causal forests), concluding with an “Under the rug” portmanteau.

Nothing (afaict) on multivariate regressed variates and simultaneous equations. Hardly an occurrence of Bayesian modelling (p.581), vague enough to remind me of my first course of statistics and the one-line annihilation of the notion.

Duh cover, but nice edition, except for the huge margins that could have been cut to reduce the 622 pages by a third (and harnessed the tendency of the author towards excessive footnotes!). And an unintentional white line on p.238! Cute and vaguely connected little drawings at the head of every chapter (like the head above). A rather terse matter index (except for the entry “The first reader to spot this wins ten bucks“!), which should have been completed with an acronym index.

“Calculus-heads will recognize all of this as taking integrals of the density curve. Did you know there’s calculus hidden inside statistics? The things your professor won’t tell you until it’s too late to drop the class.

Obviously I am biased in that I cannot negatively comment on an author running 5:37 a mile as, by now, I could just compete far from the 5:15 of yester decades! I am just a wee bit suspicious at the reported time, however, given that it happens exactly on page 537… (And I could have clearly taken issue with his 2014 paper, Is Robert anti-teacher? Or with the populist catering to anti-math attitudes as the above found in a footnote!) But I enjoyed reading the conceptual chapter on causality as well as the (more) technical chapter on instrumental variables (a notion I have consistently found confusing all the [long] way from graduate school). And while repeated references are made to Scott Cunningham’s Causal Inference: The Mixtape I think I will stop there with 500⁺ page introductory econometrics books!

[Disclaimer about potential self-plagiarism: this post or an edited version will potentially appear in my Books Review section in CHANCE.]

how one journalist’s death provoked a backlash that thousands dead in Yemen did not

Posted in pictures with tags , , , , , , , on October 19, 2018 by xi'an

in the time of cholera

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