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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    Introduction A while back, the famous travel Youtubers Kara and Nate announced that they launched a new company called Atlas.co which prints custom souvenir maps as hangable artwork. After spending some time looking at how the maps looked I thought it would be interesting to see if it is ... Continue reading: RObservations #15: I reverse-engineered Atlas.co (well, […]
  • Excess Deaths in 2020
    Prompted by a guest visit to Mine Çetinkaya-Rundel’s Advanced Data Visualization class here at Duke, I’ve updated my US and state excess death graphs. Earlier posts (like this one from February) will update as well. I am interested in all-cause mortality in the United States for 2020. I look ... Continue reading: Excess Deaths in […]
  • Descriptive Statistics in R
    Descriptive Statistics in R, You’ll learn about descriptive statistics in this tutorial, which is one strategy you might employ in exploratory data analysis. Before you invest time constructing intricate models, it’s necessary to first... The post Descriptive Statistics in R appeared first on finnstats. Continue reading: Descriptive Statistics in R
  • Personal Highlights of Scikit-Learn 1.0
    Yes! After more than 10 years, scikit-learn released its 1.0 version on 24 September 2021. In this post, I'd like to point out some personal highlights apart from the release highlights. 1. Feature Names This one is listed in the release highlights, but deserves to be mentioned again. This is not yet available for all […]
  • Row-wise operations with the {tidyverse}
    You can read the original post in its original format on Rtask website by ThinkR here: Row-wise operations with the {tidyverse} We are often asked how to perform row-wise operations in a data.frame (or a tibble) the answer is, as usual, “it depends” 🙂 Let’s look at some cases ... Continue reading: Row-wise operations with […]

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