8
" Will those insights be tested,or simply used to justify the status quo and reinforce prejudices? When I consider the sloppy and self-serving ways that companies use data, I'm often reminded of phrenology, a pseudoscience that was briefly the rage in the nineteenth century. Phrenologists would run their fingers over the patient's skull, probing for bumps and indentations. Each one, they thought, was linked to personality traits that existed in twenty-seven regions of the brain. Usually the conclusion of the phrenologist jibed with the observations he made. If the patient was morbidly anxious or suffering from alcoholism, the skull probe would usually find bumps and dips that correlated with that observation - which, in turn, bolstered faith in the science of phrenology. Phrenology was a model that relied on pseudoscientific nonsense to make authoritative pronouncements, and for decades it went untested. Big Data can fall into the same trap. Models like the ones that red-lighted Kyle Behm and black-balled foreign medical students and St. George's can lock people out, even when the " science" inside them is little more than a bundle of untested assumptions. "
9
" Will those insights be tested, or simply used to justify the status quo and reinforce prejudices? When I consider the sloppy and self-serving ways that companies use data, I'm often reminded of phrenology, a pseudoscience that was briefly the rage in the nineteenth century. Phrenologists would run their fingers over the patient's skull, probing for bumps and indentations. Each one, they thought, was linked to personality traits that existed in twenty-seven regions of the brain. Usually the conclusion of the phrenologist jibed with the observations he made. If the patient was morbidly anxious or suffering from alcoholism, the skull probe would usually find bumps and dips that correlated with that observation - which, in turn, bolstered faith in the science of phrenology. Phrenology was a model that relied on pseudoscientific nonsense to make authoritative pronouncements, and for decades it went untested. Big Data can fall into the same trap. Models like the ones that red-lighted Kyle Behm and black-balled foreign medical students and St. George's can lock people out, even when the " science" inside them is little more than a bundle of untested assumptions. "
13
" That war [Bosnian war] in the early 1990s changed a lot for me. I never thought I would see, in Europe, a full-dress reprise of internment camps, the mass murder of civilians, the reinstiutution of torture and rape as acts of policy. And I didn't expect so many of my comrades to be indifferent - or even take the side of the fascists. It was a time when many people on the left were saying 'Don't intervene, we'll only make things worse' or, 'Don't intervene, it might destabilise the region. And I thought - destabilisation of fascist regimes is a good thing. Why should the left care about the stability of undemocratic regimes? Wasn't it a good thing to destabilise the regime of General Franco? It was a time when the left was mostly taking the conservative, status quo position - leave the Balkans alone, leave Milosevic alone, do nothing. And that kind of conservatism can easily mutate into actual support for the aggressors. Weimar-style conservatism can easily mutate into National Socialism. So you had people like Noam Chomsky's co-author Ed Herman go from saying 'Do nothing in the Balkans', to actually supporting Milosevic, the most reactionary force in the region. That's when I began to first find myself on the same side as the neocons. I was signing petitions in favour of action in Bosnia, and I would look down the list of names and I kept finding, there's Richard Perle. There's Paul Wolfowitz. That seemed interesting to me. These people were saying that we had to act. Before, I had avoided them like the plague, especially because of what they said about General Sharon and about Nicaragua. But nobody could say they were interested in oil in the Balkans, or in strategic needs, and the people who tried to say that - like Chomsky - looked ridiculous. So now I was interested. "
― Christopher Hitchens