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G_S_Bhogal's profile
Gurindoor
Gurindoor
Gurindoor
@G_S_Bhogal

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Gurindoor

@G_S_Bhogal

Connoisseur of antidepressants. Words about psychology, philosophy, politics.

Joined November 2014

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    1. Bart Schuurman‏ @BartSchuurman3 14 Jan 2018
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      //Thread on #Loneactor #terrorism #research // Over the past couple of months, my colleagues in the #EU @Prime_FP7 project (incl. @noemie_bouhana @paulgill_ucl @LasseLindekilde @MonageaFrancis) and I published a series of articles on lone actor terrorism.

      3 replies 41 retweets 36 likes
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    2. Bart Schuurman‏ @BartSchuurman3 14 Jan 2018
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      2/8 Starting from the ground-breaking work by @paulgill_ucl @Drjohnhorgan and @pjdeckert in their 2013 #JOFS article ‘Bombing Alone’, we built a dataset on #loneactor attack planning and preparation, covering 55 cases in #NorthAmerica and #Europe, '78-'15http://onlinelibrary.wiley.com/doi/10.1111/1556-4029.12312/full …

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    3. Bart Schuurman‏ @BartSchuurman3 14 Jan 2018
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      3/8 In the first of 3 articles, @paulgill_ucl @noemie_bouhana, Edwin Bakker and I use this dataset to show 1) most lone actors not highly lethal or stealthy, 2) they are generally poor at OpSec, 3) leak motives and intentions, 4) do so months in advance.http://onlinelibrary.wiley.com/doi/10.1111/1556-4029.13676/full …

      2 replies 9 retweets 5 likes
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    4. Gurindoor‏ @G_S_Bhogal 15 Jan 2018
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      Replying to @BartSchuurman3 @paulgill_ucl @noemie_bouhana

      "most lone actors not stealthy", "leak motives and plans" sounds like selection bias. Your sample only included those who were caught and were therefore less competent in keeping their plans secret.

      1 reply 0 retweets 0 likes
    5. Paul Gill‏ @paulgill_ucl 15 Jan 2018
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      Replying to @G_S_Bhogal @BartSchuurman3 @noemie_bouhana

      Also included many (probably a majority) successfully executed attacks in the analysis. They are all there in a table.

      1 reply 0 retweets 1 like
    6. Gurindoor‏ @G_S_Bhogal 15 Jan 2018
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      Replying to @paulgill_ucl @BartSchuurman3 @noemie_bouhana

      I still think there is a general problem of sampling in that you can only profile those who are caught (even if it's only after they carry out their attack). Even so, it was an interesting study, so thanks.

      2 replies 0 retweets 0 likes
    7. Paul Gill‏ @paulgill_ucl 16 Jan 2018
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      Replying to @G_S_Bhogal @BartSchuurman3 @noemie_bouhana

      Sorry this is an idiotic point though. If we sample those who attack and those who get caught, who is left out of the study? Read the thing, it's open access.

      2 replies 0 retweets 4 likes
      Gurindoor‏ @G_S_Bhogal 16 Jan 2018
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      Replying to @paulgill_ucl @BartSchuurman3 @noemie_bouhana

      No need to be rude. My point is that while the study is useful, it is limited to those networks that are known. As you know, the true extent of networks are rarely found, and many attacks go unsolved. A list of those in Turkey alone can be found here: https://www.researchgate.net/publication/221246952_Prediction_of_past_unsolved_terrorist_attacks …

      3:22 AM - 16 Jan 2018
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        2. Paul Gill‏ @paulgill_ucl 16 Jan 2018
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          Replying to @G_S_Bhogal @BartSchuurman3 @noemie_bouhana

          You didn't say it was useful initially though, you criticised years of work without reading or engaging with it which, in my opinion, is rude. The study you cite is of terrorist groups not lone actors and turkey was outside of our geographical inclusion criteria.

          1 reply 0 retweets 1 like
        3. Gurindoor‏ @G_S_Bhogal 16 Jan 2018
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          Replying to @paulgill_ucl @BartSchuurman3 @noemie_bouhana

          My point wasn't intended as criticism of your paper specifically, but of selection bias in terror research generally. Statistical modelling of terror attacks will always suffer from the fact that the amount of detail available is proportional to the incompetence of the attacker.

          1 reply 0 retweets 0 likes
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