Dear Mark et al:
Mark writes: " 'Trump' and 'Algorithms' have *nothing* to do with what is going on in the world today (which, alas, it is my job to understand.)" And, I'll go out on a limb, to guess that you believe you do a pretty good job of that and would defend your positions accordingly. But you're not alone.
That's precisely what most of us do who have spent our lives as social scientists, i.e., we search for explanations of human behaviour and focus on trying to understand "what's going on in the world". We propose ideas and conduct research to evaluate the quality of those ideas. As with any human endeavor, there's tremendous variability in the range of the quality of the theorizing, as well as the quality of the research that a diverse group of practitioners undertake.
Gregg's algorithm, for example, proposes to explain Trump's behavior. I got sidetracked from sending out an email earlier suggesting that the algorithm could be viewed as a type of predictive hypothesis that can then be weighed again the evidence, past-present-future. In Trump's case, the predictive validity is almost 100%. As Gregg indicated, I'd be shocked if he did something different (and that's a good thing, or I'd be out of a job: people are largely predictable, including us!). Then I read that Trump was commenting on his administration's job with respect to Puerto Rico and the loss of life there. I used Gregg's algorithm and predicted with 100% accuracy his behaviour.
That's the job of social science: to propose theories and test their validity accordingly. That's what we do. I think the APA's concern has to do with doing clinical assessments of people's psychological fitness, or the normative aspects of "armchair psychologizing" and making public pronouncements about mental stability, etc. I don't see that as what Gregg was doing. But I hope you're not implying, Mark, that Gregg as a social scientist should not be trying to explain & predict human behaviour. I think that's a foundational aspect of the job - and Gregg and many others do a great job of that in their various fields.
As a sociologist, I certainly do not focus nearly as much attention on explaining "individual behaviour" and, instead, locate individuals in broader historical and cultural contexts. Thus my "explanations" tend to be of a different form than those of my psychology colleagues. And I certainly agree that, in some important ways, Trump's a "symptom" of much broader forces, etc. (but that's a much larger discussion). That said, what's especially remarkable about Trump - and a great many people - is how consistently he fits the predictive patterns.
Finally, the experts I "know" (er, and I guess, for once, I actually include myself in that category!) are well aware that we belong to an incredibly diverse species, culturally-linguistically-and otherwise, so I don't see anything controversial about your premise in that regard. Most of us figured out early on that the whole "We Are the World" concept was hardly an accurate description of humanity or the current stage of our evolutionary development.
Anyway, like you Mark, I too predicted the Trump victory in advance of election day - based on the evidence at the more granular level of the battleground states. The main difference from your prediction was simply that I expected there to be a large turnout, based on behavioral/motivational indicators, whereas you anticipated a sharp decline. But it was the largest turnout ever in terms of total votes, although proportionately not the largest obviously. Where I strongly agree with you, however, is with respect to the enormity of the impact of the digital world in shaping human behaviour and the long-term implications and impacts (which we're already seeing in various measurable ways, including neurally, psychologically, and culturally). But there's more than enough work to go around in trying to "understand the world" (even as we enter increasingly into a post-work stage of history!). Best, -joe
Dr. Joseph H. Michalski
Associate Academic Dean
King’s University College at Western University
266 Epworth Avenue
London, Ontario, Canada N6A 2M3
Tel: (519) 433-3491
Fax: (519) 963-1263
Email: [log in to unmask]
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by Mark Stahlman, President, Center for the Study of Digital Life, with Deborah Newman, Doc Searls, Peter Berkman, Ben Stolz, Jeff…
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