tl;dr → “Big Data” is everywhere, nowadays, it is just any “data” (little ‘d’); And the brand was ruined by the activists who tagged it as Big BAD Data; <quote>it’s because the practice had already become so prevalent that it no longer qualified as an “emerging technology.”</quote>
and → Big Data is Facebook; Facebook is bad.
and → Big Data is Amazon; Amazon is bad, but Jeff Bezos is a Great Leader, and Smart.
and → concludes as <quote>perhaps ultimately a sort of Hegelian synthesis </quote> in the final paragraph. <snide> Mistakes will be made, only time will tell, told ya so!</snide> Yup. It’s a Freshman Seminar essay.
You’re reading this cultural analysis and prognostication in Slate. You going to be okay with that? They publish articles with titles such as
Why the Witch is the Pop-Culture Heronie We Need Right Now,
Watch the Uncanny Eyeball Installation That Seems to Watch You Back,
Implanted Medical Devices are Saving Lives. they’re Also Causing Exploding Corpses.
OK? … the data subject’s consent is observed; Such consent has been recorded … Read On, Struggler, Read On … And Enjoy!
<quote>overrun by clickbait, like-bait, and endless baby photos</quote>
whereas: “social study” as a situated practice of “science” is fraught,
to wit: <quote>The wider the gap between the proxy and the thing you’re actually trying to measure, the more dangerous it is to place too much weight on it.</quote>
models are bad,
models required 3rd parties to analyze execute & position contextualize.
Michelle Rhee, ex-schools chancellor, Washington D.C.
<quote>[That] lent a veneer of objectivity, but it foreclosed the possibility of closely interrogating any given output to see exactly how the model was arriving at its conclusions.</quote>
<quote>O’Neil’s analysis suggested, for instance, </quote>
purveyor to the trades, of advice, upon the domain of marketing
is a Danish company
markets to Millennials
an exemplar is identified,
the trend is: “big data” → “small data”
parable by Martin Lindstrom
Chronicle of Lego, a business case
was data-driven → failure
used ethographics → success.
<quote ref=”CNN” date=”2017-09-05″>Lego announced plans to cut roughly 8% of its workforce — 1,400 jobs — as part of an overhaul aimed at simplifying its structure. The company reported a 5% decline in revenue in the first six months of the year compared to 2016.</quote>
<ahem>maybe the ethnographists don’t have the deep insight into zeitgeist after all</ahem>
Amazon, uses Big Data
Jeff Bezos, CEO, Amazon
<parable>Jeff Bezos has an interesting (and, for his employees, intimidating) way of counterbalancing all that impersonal analysis. On a somewhat regular basis, he takes an emailed complaint from an individual customer, forwards it to his executive team, and demands that they not only fix it but thoroughly investigate how it happened and prepare a report on what went wrong.</quote> filed under: how the great ones do it.
<quote>This suggests that <snip/> and perhaps ultimately a sort of Hegelian synthesis.</quote>
The Age of Big Data; Staff; Sunday Review, of the The New York Times (NYT) ; 2012-02-12 (five years ago).
Michael Lewis, Moneyball, 2003, ASIN:0393057658
tl;dr → boosterism upon the use of analytics within the business operations of a baseball team.
Shopping Habits; Some Cub Reporter (SCR); In The New York Times (NYT); 2012-02-10.
tl;dr → <perhaps>that story of Charles Duhigg’s about the [Christian?] girl who is pregnant and Target’s algo finds her in her home and serves her advertisements for the happy arrival, but she isn’t married and her father is unamused.</perhaps>
tl;dr → There is nothing to fear. The world is big, the effect is small. Anyway, all KPIs are stagnating, not amplifying. And the olds; there are too many old people. The robots will make [the youngs] rich. Say “No” to UBI.
“Oxford University researchers have estimated that 47 percent…”, as opined in Wired, 2015-04.
<quote>Maybe this could be a good drinking game: Every time an article cites the Oxford study, you have to drink a shot of Jack Daniels.</quote>
techno-utopians/dystopians, a self-conscious class of persons.
Technological change has always been gradual and always will be
mostAll of these techno-utopians/dystopians base their “predictions” on the continuation of Moore’s law
which in its ending stages now.
That is because, historically, there is no relationship between higher productivity and unemployment.
All the Baby Boomers will retire, and there is nobody and no wealth to care for them; [we] will want need the machines for that.
… human needs are far from being satisfied.
Of Labor-Intensive Technology-Insensitive Occupations
dental laboratory technicians
social science research assistants
<snide>uttered with out irony</snide>
Chief Executive Officers (CEOs), as an occupation, as a self-conscious class
<snide>again, uttered with out irony</snide>
<quote>Our needs are very large and it is farfetched to think technology will eliminate the need for work.</quote>i>
<quote>But one innovation that is absolutely not needed is UBI (Universal Basic Income), which some have suggested as a reponse to technological progress, and which has to rank as one of the dumbest ideas of all time. </quote>
Carl Benedikt Frey, staff, Oxford University.
professor, Massachusetts Institute of Technology (MIT).
CEO, Rethink Robotics
Bill Gates, boffo.
Benoit Hamon, candidate for president, Socialist Party, France.
Marvin Minsky, a scientist, Massachusetts Institute of Technology (MIT).
Gordon Moore, co-founder, Intel.
Nil NilsonNils John Nilsson
a scientist, domain of Artificial Intelligence (AI),
the pace of technical change is accelerating
the pace of technical change is accelerating
and the only constant is change, see it works!
labor economist Gail Garfield Schwartz
out of work
in a generation
jobs will be eliminated,
jobs will be eliminated worldwide by 2020 by robotics and AI.
Oxford researchers Michael A. Osborne and Carl Benedikt Frey
sex workers could be out of work
[who are these people?]
incumbent on policymakers
slow down to a more manageable pace of change.
to where only the change is only constant! Wheee!
a tax on robots
Social Security taxes.
Social Security taxes, on robots.
This is an idea that has been championed by luminaries such as
French Socialist presidential candidate Benoit Hamon
the wealth creates benefits for the shareholders
the social contribution
<quote><snip/>the social contributions on the whole of the added value and not just on the work<quote>, attributed ot Benoit Hamon.
Universal Basic Income (UBI)
the risk of a U.S. worker losing their job,
the risk of a U.S. worker losing their job from a shutdown or downsizing.
4th Industrial Revolution
predictions by experts?
“predictions” were made in the 1970’s and 80’s.
the machine with human intelligence
the machine with human intelligence within the next three to eight years
MIT scientist Marvin Minsky
The prediction about 20 percent of the workforce out of work was made in 1982.
give up on full employment,
The call to give up on full employment.
someone can’t distinguish between millions and billions.
winning the lottery,
chance of winning the lottery,
almost as much chance of winning the lottery as…
your CEO is incompetent.
<quote>Maybe robots replacing CEO’s is the answer to job security.</quote>
The Study. That. Shows.
the Oxford study by Osborne and Frey,
the Oxford study by Osborne and Frey that warns…
the Oxford study,
coverage of the Oxford study.
a bottle of Jack Daniels,
to wager a bottle of Jack Daniels.
702 occupational categories,
all 702 occupational categories,
neglected to examine all 702 occupational categories
task measures from the Department of Labor,
task measures from the Department of Labor, which assessed occupations based on factors…
task measures from the Department of Labor, which assessed occupations based on factors such as how much manual dexterity…
task measures from the Department of Labor, which assessed occupations based on factors such as how much manual dexterity and social perceptiveness [as occupational requirements].
destined for the trash heap…
destined for the trash heap of techno-history.
their methodology produces nonsense.
going the way of the buggy whip maker
the magic robot chair
instead of fretting…
instead of fretting about … killing jobs,
instead of fretting about tech killing jobs.
instead be worrying…
instead be worrying about … productivity …,
instead be worrying about … productivity growth rates …
instead be worrying about … raise productivity growth rates …
instead be worrying about … raise productivity growth rates, which have been at all-time lows over the last decade.
instead be worrying about … going to raise productivity growth rates, which have been at all-time lows over the last decade.
instead be worrying about how the heck are we ever going to raise productivity growth rates, which have been at all-time lows over the last decade.
<wow!> <paf!> </wow!>
the robot assault
MIT professor and CEO of Rethink Robotics Rodney Brooks
misled by suitcase words.
category errors in fungibility of capabilities.
category errors comparable to seeing the rise of more efficient internal combustion engines …
category errors comparable to seeing the rise of more efficient internal combustion engines and jumping to the conclusion that warp drives are just around the corner.
Beam me up, Scotty.
Moore’s law, (sic) Moore’s Law),
the continuation of Moore’s Law.
Intel’s co-founder [Gordon Moore]
The nature of exponentials
is that you push them out and eventually disaster happens.” Disaster will happen long before
the alluring robot in Ex Machina.
There’s another reason to calm down.
This is pretty obvious if you just think about it.
Productivity leads to lower prices and/or higher wages.
This money gets spent.
That spending creates jobs.
we are to panic,
if we are to panic …
if we are to panic, and panic can be a good thing.
the massive retirement,
the massive retirement of baby boomers.
a generational war,
a generational war where …
a generational war where either the old people or the younger workers will win.
working-age people, old people,
the ratio of working-age people to old people.
increasing productivity to raise incomes,
keep increasing productivity to raise incomes.
American household today,
the average American household today.
increased their incomes,
productivity gains increased their incomes …
productivity gains increased their incomes from $60K to $240K.
a few simple-living hippies.
The future is emotional; Livia Gershon; In Aeon; 2017-06-22
Teaser: Human jobs in the future will be the ones that require emotional labour: currently undervalued and underpaid but invaluable
tl;dr → the caring professions; emotional labor cannot be roboticizedautomated.
tl;dr → most people nowadays make their living by having good table manners.
The Future of Jobs Report; World Economic Forum; 2016-01; 167 pages; landing.
Teaser: Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution
The care work
emotional labor, attributed to rlie Russell Hochschild, 1983,
<quote><snip/>in ethnographic studies of direct-care trainees, the most significant skills required involve coping with filth, violence and death.</quote>
<quote><snip/>people from higher social classes spent less time looking at people they passed on the street than did less privileged test subjects. In an online experiment, higher-class subjects were also worse at noticing small changes in images of human faces. It is becoming clear to researchers that working-class people tend to have sharper emotional skills than their wealthier, more educated counterparts</quote>, attributed to Dietze & Knowles, 2016;
The psychic income
The phenomenon of over-education.
The emotional training; the emotional skills
Social and Emotional Learning’ (SEL)
state-level SEL Standards in children’s education
<quote>Providing emotional skills training to prestigious, highly-paid, and highly specialised workers might be kind of obvious. Doing the same for the rest of us is a tougher proposition. </quote>
Vignette, of The Greater Taylorism
Pret A Manger, chain, sandwiches, British
use of “mystery shoppers” for quality control
to ensure that its staff appeared constantly cheery.
In rough order of appearance…
Arlie Russell Hochschild, activist
David Deming, staff, Harvard University
Rosemary Haefner, chief human resources officer, CareerBuilder
George T Patterson, activist, advice; in New York
Inge Bates, staff, University of Sheffield
Pia Dietze, staff, psychology, New York University
Eric Knowles, staff, psychology, New York University
Nancy Folbre, staff, economy, University of Massachusetts, Amherst.
W. Norton Grubb, economy; based in the U.S.
Marvin Lazerson, economy; based in the U.S.
David Scales, doctor, Cambridge Health Alliance (quoted for color, background & verisimilitude)
<quote>The fourth industrial revolution has potentially inverted the competitive advantage that emerging markets have had in the form of low-cost labour,</quote> attributed to Lutfey Siddiqi, global head of emerging markets for FX, rates and credit at UBS.