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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RSS r-bloggers.com

  • The Bachelorette Ep. 2 – Petal to the Metal – Data and Drama in R
    Since only one man was eliminated this week (for his failure to adequately compliment Clare), this week’s blog post focuses on the suitors’ Instagram accounts. On average, the men have roughly doubled their growth in instagram followers since the show began. Please check out our dashboard (built with shiny) ... The post The Bachelorette Ep. […]
  • Jan Vitek – R MELTS BRAINS – or How I Learned to Love Failing at Compiling R
    Few weeks ago we finished Why R? 2020 conference. We had an honour to host Jan Vitek, a Professor of Computer Science at Northeastern University. This post contains a biography of the speaker and an abstract of his talk: R MELTS BRAINS - or How I Lear... The post Jan Vitek - R MELTS BRAINS […]
  • Turn a shiny application into a tablet or desktop app
    Since we first demoed it at our really successful trip to Strata London last year, a few people have asked... The post Turn a shiny application into a tablet or desktop app appeared first on Mango Solutions. The post Turn a shiny application into a tablet or desktop app first appeared on R-bloggers.
  • Upcoming workshop: From Excel to R
    Discover how to use R to break free from Excel’s limitations at Mirai’s From Excel to R workshop. Excel’s lengthy formulas and complex macros, files that take forever to open and crash as frequently as you try to update them, major mistakes due to a... The post Upcoming workshop: From Excel to R first appeared […]
  • eXplainable AI + Shiny = xai2shiny
    xai2shiny is a new tool for lightning-quick deployment of machine learning models and their explorations using Shiny.By Anna KozakThe explainability of machine learning models has already proven to be an essential part of building a successful model. T... The post eXplainable AI + Shiny = xai2shiny first appeared on R-bloggers.

RSS Simply Statistics

  • Palantir Shows Its Cards
    File this under long-term followup, but just about four years ago I wrote about Palantir, the previously secretive but now soon to be public data science company, and how its valuation was a commentary on the value of data science more generally. Well, just recently Palantir filed to go public and therefore submitted a registration […]
  • Asymptotics of Reproducibility
    Every once in a while, I see a tweet or post that asks whether one should use tool X or software Y in order to “make their data analysis reproducible”. I think this is a reasonable question because, in part, there are so many good tools out there! This is undeniably a good thing and […]
  • Amplifying people I trust on COVID-19
    Like a lot of people, I’ve been glued to various media channels trying to learn about the latest with what is going on with COVID-19. I have also been frustrated - like a lot of people - with misinformation and the deluge of preprints and peer reviewed material. Some of this information is critically important […]

RSS Statistical Modeling, Causal Inference, and Social Science