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

tweets


Twitter: frbailo

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RSS r-bloggers.com

  • eRum2020 in Milan
    The European R conference will visit Milan in 2020! Mirai Solutions is delighted to actively support and participate in the organization of the event. The European R Users Meeting (eRum) is a biennial conference, taking place in Europe during those...
  • Quick Hit: A Different (Diminutive) Look At Distributions With {ggeconodist}
    Despite being a full-on denizen of all things digital I receive a fair number of dead-tree print magazines as there’s nothing quite like seeing an amazing, large, full-color print data-driven visualization up close and personal. I also like supporting data journalism through the subscriptions since without cash we will only have insane, extreme left/right-wing perspectives... […]
  • Is Scholarly Use of R Use Beating SPSS Already?
    by Bob Muenchen & Sean Mackinnon One of us (Muenchen) has been tracking The Popularity of Data Science Software using a variety of different approaches. One approach is to use Google Scholar to count the number of scholarly articles found … Continue reading →
  • Twitter coverage of the useR! 2019 conference
    Very briefly: Last week was useR! conference time again, coming to you this time from Toulouse, France I’ve retrieved 8 318 tweets that mention #user2019 and run them through my report generator And here are the results Take-home message this year: the R Ladies rock!
  • Looking at flood insurance claims with choroplethr
    I recently learned how to use the choroplethr package through a short tutorial by the package author Ari Lamstein (youtube link here). To cement what I learned, I thought I would use this package to visualize flood insurance claims. I … Continue reading →

RSS Simply Statistics

  • Research quality data and research quality databases
    When you are doing data science, you are doing research. You want to use data to answer a question, identify a new pattern, improve a current product, or come up with a new product. The common factor underlying each of these tasks is that you want to use the data to answer a question that […]
  • I co-founded a company! Meet Problem Forward Data Science
    I have some exciting news about something I’ve been working on for the last year or so. I started a company! It’s called Problem Forward data science. I’m pumped about this new startup for a lot of reasons. My co-founder is one of my families closest friends, Jamie McGovern, who has more than 2 decades […]
  • Generative and Analytical Models for Data Analysis
    Describing how a data analysis is created is a topic of keen interest to me and there are a few different ways to think about it. Two different ways of thinking about data analysis are what I call the “generative” approach and the “analytical” approach. Another, more informal, way that I like to think about […]

RSS Statistical Modeling, Causal Inference, and Social Science

  • Voter turnout and vote choice of evangelical Christians
    Mark Palko writes, “Have you seen this?”, referring to this link to this graph: I responded: Just one of those things, I think. Palko replied: Just to be clear, I am more than willing to believe the central point about the share of the population dropping while the share of the electorate holds relatively steady, […]
  • Endless citations to already-retracted articles
    Ken Cor and Gaurav Sood write: Many claims in a scientific article rest on research done by others. But when the claims are based on flawed research, scientific articles potentially spread misinformation. To shed light on how often scientists base their claims on problematic research, we exploit data on cases where problems with research are […]
  • Gigerenzer: “The Bias Bias in Behavioral Economics,” including discussion of political implications
    Gerd Gigerenzer writes: Behavioral economics began with the intention of eliminating the psychological blind spot in rational choice theory and ended up portraying psychology as the study of irrationality. In its portrayal, people have systematic cognitive biases that are not only as persistent as visual illusions but also costly in real life—meaning that governmental paternalism […]