Cosa possiamo imparare dal M5S

Leggo e rispondo al post di Massimo Mantellini (Il M5S, il wifi e il principio di precauzione) in cui si evidenzia con preoccupazione come il Movimento abbia portato in Parlamento, dunque in qualche modo legittimandole, posizioni anti-scientifiche; un “pensiero tossico, banale e a suo modo inattaccabile, che nuoce al Paese intero”.

Il Movimento Cinque Stelle con un bacino elettorale che si aggira tra il 25 e il 30% (8.5-10 milioni di persone) è necessariamente complesso in termini di rappresentanza demografica e di diversità di opinione. Considerando un astensionismo del 25%, se vi trovate in fila al supermercato delle 10 persone che vi precedono circa due votano M5S. Purtroppo questa complessità raramente traspare nelle narrazioni giornalistiche, e chi fa informazione tende (troppo) spesso a preferire i tratti caricaturali (da cappello di carta stagnola o da gita in Corea del Nord, per intenderci). Ma questo tipo di informazione è sbagliata: primo perché distorce nella semplificazione, secondo perché incoraggia comportamenti macchiettistici, grotteschi e sbracati da parte di chi sedendo in istituzioni affollate cerca visibilità.

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Friday, 22 July 2016

Road to Rome: The organisational and political success of the M5S

The Five Star Movement (M5S) obtained two major victories in the second round of municipal elections on 19 June 2016 in Rome and Turin. Rome attracted the most international attention but it is M5S’ victory in Turin that is likely the most consequential for them and other European anti-establishment parties.

In Rome, a municipality with 2.8 million people and an annual budget of €5 billon, Virginia Raggi (age 37) gained doubled the votes of her contender Roberto Giachetti (age 55). In Turin, a city with a population of 900,000 and an annual budget of €1.69 billion, Chiara Appendino (age 31) outstripped Piero Fassino (age 66) by about 10 percentage points.

Continue reading on Pop Politics Aus

Friday, 8 July 2016

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Twitter: frbailo

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RSS r-bloggers.com

  • simmer 4.0.0
    The 4.0.0 release of simmer, the Discrete-Event Simulator for R, is on CRAN under a new license: we decided to switch to GPL __= 2. Most notably in this major release, the C++ core has been refactorised and exposed under inst/include. This is not a big deal for most users, but it enables extensions. As an example… […]
  • RStudio:addins part 4 – Unit testing coverage investigation and improvement, made easy
    Introduction A developer always pays his technical debts! And we have a debt to pay to the gods of coding best practices, as we did not present many unit tests for our functions yet. Today we will show how to efficiently investigate and improve unit test coverage for our R code, with focus on functions […]
  • MiKTeX Behind a Windows Firewall
    I’ve always had problems with MiKTeX on my work computer. I can install it just fine, or get IT to install it, but then the package manager doesn’t work because of our firewall. You can set up a local repository to get around this problem, and I will show you how. I’m just doing a […]
  • Regional population structures at a glance
    I am happy to announce that our paper is published today in The Lancet. Kashnitsky, I., & Schöley, J. (2018). Regional population structures at a glance. The Lancet, 392(10143), 209–210. https://doi.org/10.1016/S0140-6736(18)31194-2 At a...
  • R.devices – Into the Void
    R.devices 2.16.0 - Unified Handling of Graphics Devices - is on CRAN. With this release, you can now easily suppress unwanted graphics, e.g. graphics produced by one of those do-everything-in-one-call functions that we all bump into once in a while. To suppress graphics, the R.devices package provides graphics device nulldev(), and function suppressGraphics(), which both […]

RSS Simply Statistics

  • Teaching R to New Users - From tapply to the Tidyverse
    Abstract The intentional ambiguity of the R language, inherited from the S language, is one of its defining features. Is it an interactive system for data analysis or is it a sophisticated programming language for software developers? The ability of R to cater to users who do not see themselves as programmers, but then allow […]
  • What Should be Done When Data Have Creators?
    I was listening to the podcast The West Wing Weekly recently and Episode 4.17 (“Red Haven’s on Fire”) featured former staff writer Lauren Schmidt Hissrich. In introducing her, the podcast co-hosts mentioned that Hissrich was a writer for the Netflix series Daredevil, based on the Marvel Comics character. She is also the showrunner for a […]
  • Cultural Differences in Map Data Visualization
    Matthew Panzarino had an interesting article in TechCrunch on Apple’s process for rebuilding their Maps app. While most of the article describes the laborious process of data collection, one part jumped out at me, which was the team that Panzarino describes as the “Department of Details.” They are responsible for a number of odds and […]

RSS Statistical Modeling, Causal Inference, and Social Science

  • “A Headline That Will Make Global-Warming Activists Apoplectic”
    I saw this article in the newspaper today, “2017 Was One of the Hottest Years on Record. And That Was Without El Niño,” subtitled, “The world in 2017 saw some of the highest average surface temperatures ever recorded, surprising scientists who had expected sharper retreat from recent record years,” and accompanied by the above graph, […]
  • Where that title came from
    I could not think of a good title for this post. My first try was “An institutional model for the persistence of false belief, but I don’t think it’s helpful to describe scientific paradigms as ‘true’ or ‘false.’ Also, boo on cheap laughs at the expense of academia,” and later attempts were even worse. At […]
  • Stan short course in NYC in 2.5 weeks
    To all who may be interested: Jonah Gabry, Stan developer and creator of ShinyStan, will be giving a short course downtown, from 6-8 Aug. Details here. Jonah has taught Stan courses before, and he knows what he’s doing. The post Stan short course in NYC in 2.5 weeks appeared first on Statistical Modeling, Causal Inference, […]