The indy-author scene is not the only thing which has radically changed over the last decade; just the one that I know the best, through having the great good fortune to start as an indy author just when it was economically and technologically possible. It used to be that there were two means of being a published author. There was the traditional and most-respected way, through submission to a publishing house – which, if you were fortunate enough to catch the eye and favor of an editor, meant a contract and an advance, maybe a spot on the much-vaunted New York Times best-seller list. This was a method which – according to the old-timers – worked fairly well, up until a certain point. Some writers who have been around in the game for a long time say that when publishing houses began viewing books as commodities like cereal brands and ‘pushing’ certain brands with favored places on the aisles and endcaps, and treating authors as interchangeable widgets – that’s when the traditional model began to falter. Other experts say that it began when tax law changed to make it expensive to retain inventory in a warehouse. It was no longer profitable to maintain a goodly stock of mid-list authors with regular, if modest sales. Mainstream publishing shifted to pretty much the mindset of Hollywood movie producers, putting all their bets on a straight diet of blockbusters and nothing but blockbusters.
Marketing
Catalist, “The 480,” and The Real 480
(In the light of the Cambridge Analytica revelations and controversy. I thought this 2014 post might be due for a rerun)
There has been much discussion recently of Catalist, a database system being used by the Democratic Party to optimally target their electioneering efforts…see Jonathan’s post here.  I’m reminded of Eugene Burdick’s 1964 novel, The 480
Simulmatics was a real company.  It was founded by MIT professor Ithiel de Sola Pool, a pioneer in the application of computer technology to social science research. Data from 130,000 interviews was categorized into 480 demographic groups, and an IBM 704 computer was used to process this data and predict the likely effects of various alternative political tactics.  One question the company was asked to address by the 1960 Democratic campaign, in the person of Robert F Kennedy, was:  How best to deal with religion?  There was considerable concern among some parts of the electorate about the prospect of choosing a Catholic as President.  Would the JFK campaign do better by minimizing attention to this issue, or would they do better by addressing it directly and condemning as bigots those who would let Kennedy’s faith affect their vote?
Simulmatics concluded that “Kennedy today has lost the bulk of the votes he would lose if the election campaign were to be embittered by the issue of anti-Catholicism.  The simulation shows that there has already been a serious defection from Kennedy by Protestant voters. Under these circumstances, it makes no sense to brush the religious issue under the rug.  Kennedy has already suffered the disadvantages of the issue even though it is not embittered now–and without receiving compensating advantages inherent in it.† Quantitatively, the study predicted that Kennedy’s direct addressing of the religion issue would move eleven states, totaling 122 electoral votes, away from the Kennedy camp–but would pull six states, worth 132 electoral votes, into the Democratic column.
It is not clear how much this study influenced actual campaign decision-making…but less than three weeks after RFK received the Simulmatics report, JFK talked about faith before a gathering of ministers in Houston.  “I believe in an America where religious intolerance will someday end,† Kennedy said,  “where there is no Catholic vote, no anti-Catholic vote, no bloc voting of any kind.†(Burdick’s novel also suggests that the Kennedy campaign used Simulmatics to assess the effects of a more-forthright posture on civil rights by the campaign, and furthermore to analyze Kennedy’s optimal personality projection during the debates–I don’t know if these assertions are historically correct, but the religion analysis clearly was indeed performed.)
Considerable excitement was generated when, after the election, the Simulmatics project became publicly known.  A Harper’s Magazine article referred to to the Simulmatics computer as “the people machine,†and quoted Dr Harold Lasswell of Yale as saying, “This is the A-bomb of the social sciences.  The breakthrough here is comparable to what happened at Stagg Field.† But Pierre Salinger, speaking for the Kennedy campaign, asserted that “We did not use the machine.† (Salinger’s statement is called out as a lie in the recent book, The Victory Lab: The Secret Science of Winning Campaigns
In Burdick’s novel, the prospective Republican candidate is John Thatch, head of an international engineering and construction company.  Thatch has achieved popular renown after courageously defusing a confrontation between Indians and Pakistanis over a bridge his company was building, thereby averting a probable war.  Something about Thatch’s personality has struck the public imagination, and–despite his lack of political experience–he looks to be an attractive candidate.  But initially, the Republicans see little hope of defeating the incumbent Kennedy–“the incumbent is surrounded by over four years of honorific words and rituals,†a psychologist explains.  “He seems as though he ought to be President.  He assumes the mantle.† This outlook is deeply disturbing to a Republican senior statesman named Bookbinder, who strongly believes that defacto 8-year terms are bad for the country…but if it is true that Kennedy is unbeatable, then the best the Republicans can hope to do is lose as well as possible.  Things change when Kennedy is assassinated and the election becomes a real contest.
Bookbinder and Levi, another Republican senior statesman, are introduced to Simulation Enterprises by a young lawyer named Madison (Mad) Curver and his psychologist associate (quoted above), a woman named Dr Devlin. Â Mad and Dr Devlin explain that what Sim Enterprises does is different from the work done by garden-variety pollsters like the one they have just met, Dr Cotter:
“The pollster taps only a small fragment of the subject’s mind, attention, background, family influence, and habits.  The Simulations thing, just because it can consider thousands of elements influencing the subject, even things he may not know himself, gets much better results.â€
“And one further thing, Book,†Mad said.  “Simulations Enterprises can predict what people will do in a situation which they have never heard of before.  That was the whole point of the UN in the Midwest example.  No one has gone out there and asked them to vote on whether we should get out of the UN, but Dev outlined a procedure by which you can predict how they will react…if they ever do have to vote on it.
Again Bookbinder had the sharp sense of unreality.  Unreal people were being asked invented questions and a result came out on green, white-lined paper…and when you got around to the real people six months later with the real question they would act the way the computer had said they would.
Kinda Cool
Also in this video
Worthwhile Reading
How the 16th century invented social media
Virginia Postrel thinks that now is the time for big-box stores to embrace the 19th century
Is it possible to make American mate again?
Related to the above: Â mapping the geographical patterns of romantic anxiety and avoidance
Maybe also related: Â sex doesn’t sell anymore, activism does
PC oppression and why Trump won
Theory and practice: an interesting Assistant Village Idiot post from 2010
Learning about effective selling from a surfer dude
Here’s a guy who says: I help create the automated technologies that are taking jobs…and I feel guilty about it
After discussing his concerns about automation-driven job losses, he goes on to say “I feel even worse when I hear misleading statements about the source of the problem. Blaming China and NAFTA is a convenient deflection, but denial will only make the wrenching employment dislocation for millions all the more painful.”
I’ve seen this assertion–“offshoring doesn’t matter because Robots”–and it doesn’t make a whole lot of sense to me. Â It should be obvious that both factors play a role; there’s no need for a single-variable explanation. Â (Actually, offshoring-driven job losses and automation-driven job losses are somewhat less than additive in their effect, since automation generally makes US-based production more relatively attractive.)
Here’s an argument that the next big blue-collar job is coding.
What if we regarded code not as a high-stakes, sexy affair, but the equivalent of skilled work at a Chrysler plant? Among other things, it would change training for programming jobs—and who gets encouraged to pursue them. As my friend Anil Dash, a technology thinker and entrepreneur, notes, teachers and businesses would spend less time urging kids to do expensive four-year computer-Âscience degrees and instead introduce more code at the vocational level in high school….Across the country, people are seizing this opportunity, particularly in states hit hardest by deindustrialization. In Kentucky, mining veteran Rusty Justice decided that code could replace coal. He cofounded Bit Source, a code shop that builds its workforce by retraining coal miners as programmers. Enthusiasm is sky high: Justice got 950 applications for his first 11 positions. Miners, it turns out, are accustomed to deep focus, team play, and working with complex engineering tech. “Coal miners are really technology workers who get dirty,†Justice says.
I’m reminded of two things that Peter Drucker said in his 1969 book The Age of Discontinuity. Â In attacking what he called ‘the diploma curtain’, he wrote “By denying opportunity to those without higher education, we are denying access to contribution and performance to a large number of people of superior ability, intelligence, and capacity to achieve.”
But also, Drucker wrote, in his discussion of the Knowledge Economy:
The knowledge worker of today…is not the successor to the ‘free professional’ of 1750 or 1900. Â He is the successor to the employee of yesterday, the manual worker, skilled or unskilled…This hidden conflict between the knowledge workers view of himself as a ‘professional’ and the social reality in which he is the upgraded and well-paid successor to the skilled worker of yesterday, underlies the disenchantment of so many highly educated young people with the jobs available to them…They expect to be ‘intellectuals.’ Â And the find that they are just ‘staff.’
Indeed, many jobs that have been thought of as ‘professional’ and ‘white collar’…programming, financial analysis, even engineering…are increasingly subject to many of the stresses traditionally associated with ‘blue collar’ jobs, such as layoffs and cyclical unemployment. Â As a higher % of the corporate cost structure becomes concentrated in jobs which are not direct labor, it is almost inevitable that these jobs will be hit increasingly when financial problems make themselves felt.
Drucker’s second point, which I think is very astute, is somewhat orthogonal to the coal-miners-becoming-coders piece, and probably deserves it own post for discussion. Â Regarding the question of non-college-educated people becoming programmers (of which there has long already been a fair amount), the degree to which succeeds is to some degree coupled with the whole question of h-1b visa policy, and trade policy in general as it relates to offshoring of services.