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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  • GooglyPlusPlus gets ready for ICC Men’s T20 World Cup
    It is time!! So last weekend, I turned the wheels, moved the levers and listened to the hiss of steam, as I cranked up my Shiny app GooglyPlusPlus. The ICC Men’s T20 World Cup is just around the corner, and it was time to prepare for this event. This ... Continue reading: GooglyPlusPlus gets ready […]
  • Applications open: The Seventh Summer School on Statistical Methods for Linguistics and Psychology, 11-15 September 2023
    Applications are open (till 1st April 2023( for the seventh summer school on statistical methods for linguistics and psychology, to be held in Potsdam, Germany.Summer school website: https://vasishth.github.io/smlp2023/Some of the highlights:&nbsp... Continue reading: Applications open: The Seventh Summer School on Statistical Methods for Linguistics and Psychology, 11-15 September 2023
  • Package dev with {fusen} & {attachment}: load all functions of a flat, manage qmd and auto-fill Remotes field
    You can read the original post in its original format on Rtask website by ThinkR here: Package dev with {fusen} & {attachment}: load all functions of a flat, manage qmd and auto-fill Remotes field One aim of our open-source packages at ThinkR is to make our development workflows easier. {attachment} and {... Continue reading: Package […]
  • Get Miles: using treemap to visualise running distances
    By 30th September 2022, I had clocked up a total of over 2000 km of running in 2022. This milestone was a good opportunity to look at how I got to this point. The code is shown below. First, we can make a histogram to look at the distance of runs. From this ... Continue […]
  • ggradar: radar plots with ggplot in R
    Businesses have tons of data. But 90% have no clue how to use it. Here’s what they are overlooking… Within-Group Analysis. Groups are important (think customer segments). But group-wise comparisons can be tricky. Thankfully an R package exists to hel... Continue reading: ggradar: radar plots with ggplot in R

RSS Simply Statistics

RSS Statistical Modeling, Causal Inference, and Social Science

  • (Now that faculty aren’t coming into the office anymore) Will universities ever recover?
    A few years ago I taught a course at Sciences Po in Paris. The classes were fine, the students were fine, but there was almost no academic community. I had an office in some weird building where they stuck visitors. … Continue reading →
  • What Nested R-hat teaches us about the classical R-hat
    (this post is by Charles) My colleagues Matt Hoffman, Pavel Sountsov, Lionel Riou-Durand, Aki Vehtari, Andrew Gelman, and I released a preprint titled “Nested R-hat: assessing the convergence of Markov chains Monte Carlo when running many short chains”. This is … Continue reading →
  • Not frequentist enough.
    I think that many mistakes in applied statistics could be avoided if people were to think in a more frequentist way. Look at it this way: In the usual way of thinking, you apply a statistical procedure to the data, … Continue reading →