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

  • Tips for great graphics
    R is a great program for generating top-notch graphics. But to get the best out of it, you need to put in a little more work. Here are a few tips for adapting your R graphics to make them look a little better. 1) Dont use the “File/Save as…/” menu. If you set up your […]
  • WVPlots now at version 1.0.0 on CRAN!
    Nina Zumel and I have been working on packaging our favorite graphing techniques in a more reusable way that emphasizes the analysis task at hand over the steps needed to produce a good visualization. We are excited to announce the WVPlots is now at version 1.0.0 on CRAN! The idea is: we sacrifice some of […]
  • Reflections on the ROpenSci Unconference
    I had an amazing time this week participating in the 2018 ROpenSci Unconference, the sixth annual ROpenSci hackathon bringing together people to advance the tools and community for scientific computing with R. It was so inspiring to be among such a talented and dedicated group of people — special kudos goes to the organizing committee […]
  • How to plot with patchwork
    INTRODUCTION The goal of patchwork is to make it simple to combine separate ggplots into the same graphic. As such it tries to solve the same problem as gridExtra::grid.arrange() and cowplot::plot_grid but using an API that incites exploration and iteration. Installation You can install patchwork from github with: # install.packages("devtools") devtools::install_github("thomasp85/patchwork") The usage of patchwork […]
  • Programmatically creating text output in R – Exercises
    In the age of Rmarkdown and Shiny, or when making any custom output from your data you want your output to look consistent and neat. Also, when writing your output you often want it to obtain a specific (decorative) format defined by the html or LaTeX engine. These exercises are an opportunity to refresh our […]

RSS Simply Statistics

  • Context Compatibility in Data Analysis
    All data arise within a particular context and often as a result of a specific question being asked. That is all well and good until we attempt to use that same data to answer a different question within a different context. When you match an existing dataset with a new question, you have to ask […]
  • Awesome postdoc opportunities in computational genomics at JHU
    Johns Hopkins is a pretty amazing place to do computational genomics right now. My colleagues are really impressive, for example five of our faculty are part of the Chan Zuckerberg Initiative and we have faculty across a range of departments including Biostatistics, Computer Science, Biology, Biomedical Engineering, Human Genetics. A number of my colleagues are […]
  • Rethinking Academic Data Sharing
    The sharing of data is one of the key principles of reproducible research (the other one being code sharing). Using the data and code a researcher has used to generate a finding, other researchers can reproduce those findings and examine the process that lead to them. Reproducibility is critical for transparency, so that others can […]

RSS Statistical Modeling, Causal Inference, and Social Science

  • Click here to find out how these 2 top researchers hyped their work in a NYT op-ed!
    Gur Huberman pointed me to this NYT op-ed entitled “Would You Go to a Republican Doctor?”, written by two professors describing their own research, that begins as follows: Suppose you need to see a dermatologist. Your friend recommends a doctor, explaining that “she trained at the best hospital in the country and is regarded as […]
  • Write your congressmember to require researchers to publicly post their code?
    Stephen Cranney writes: For the past couple of years I have had an ongoing question/concern . . . In my fields (sociology and demography) much if not most of the published research is based on publicly available datasets; consequently, replicability is literally a simple matter of sending or uploading a few kilobytes of code text. […]
  • The Manager’s Path (book recommendation for new managers)
    I (Bob) was visiting Matt Hoffman (of NUTS fame) at Google in California a few weeks ago, and he recommended the following book: Camille Fournier. 2017. The Manager’s Path. O’Reilly. It’s ordered from being an employee, to being a tech lead, to managing a small team, to managing teams of teams, and I stopped there. […]