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Data Driven Nonsense
The more I read Z-man, it seems the better I like him
When I was a young man starting out in the world, I was once given an assignment for the marketing people. The job was to gather up and detail the costs of various marketing programs. For some reason they did not track these things in the accounting system. That meant I had to rummage through filing cabinets pulling out invoices and then tabulating the results in a spreadsheet. My guess is I was given the task mostly because I was the only guy who could use Lotus 1-2-3.
I gathered up all the data for the periods in question and put together a report. Out of curiosity, and to be a suck up, I created s chart that showed the impact of various marketing efforts on sales. I even factored in things like the number of peak sales days in a month and adjusted the results to reflect these variances. What jumped out to me was that marketing did nothing for sales. I then expanded the data range to include previous years and it was more obvious. Our marketing was a waste of money.
I was young, but I was not an idiot so I gave the VP of marketing the numbers without my analysis. He then used them in his presentation, in which he claimed to be the key to the company’s success. I sat watching it waiting for someone to point out that he was full of baloney, but no one did. What I realized was everyone believed in these types of marketing schemes. They had to work because everyone did them. The VP of marketing liked his job so he told everyone what they wanted to hear.
The point of this walk down memory lane is that people have been using data to lie to one another long before we had cheap database software and Chinese quants cranking out reports. My bet is the first modern humans to migrate out of Africa had a meeting where Grog held up a skin, with marks on it, that he claimed was proof that slow food and fast women were just over the horizon. Data analysis is often just another form of magic that we use to grease the wheels of life.
This always comes to mind when I hear political types talk about their data operations. Reince Priebus is running around saying it was the GOP data operations that got the Trump vote out on Tuesday. He was on the radio claiming that his team “knew what people ate for lunch, when they went to work and how they voted in the past” so they could target these voters and get them to the polls. He made it sound like they had studied all of us since birth so they could maximize their vote.
This is nonsense. Trump had none of this stuff in the primary and he poleaxed everyone in his way. His “ground game” was to go on TV and radio and be interesting. Then he went on Twitter to give reporters something to ask him. In the general, he preferred the old fashioned whistle stop tour. Instead of a train, he flew around on his plane and did stadium shows near airports. His campaign was lean and mean, avoiding the trap of hiring an army of experts. Trump was outspent something close to 5-to-1 when including outside groups.
Conclusion at the link
I did listen to Trump's speeches. Unlike the usual case with politicians, I enjoyed doing it. He could call people names and express things in a politically incorrect manner. The most important thing he did, each and every speech, was tell his audience that they were "amazing." Contrast that with confining half the country to a "Basket of Deplorables." His attacks were always against his opponents, not against their supporters.
Yup. The Donald did another thing that was very very smart in his speeches: he'd tell you that what he was going to do was going to benefit you personally. "You're going to love this." "This is going to make America great." "You're going to do better." And so on. He was able to connect you in the audience to these otherwise abstract things about jobs, defense, environment, immigration, and so on. That personal connection is surprisingly hard to do in a stemwinder and he was brilliant at it.
Posted by: badanov 2016-11-13 |
http://www.rantburg.com/poparticle.php?ID=472969 |
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