Steve Denning

Why are established organizations listing towards reliability and exploitation? Perhaps the clearest explanation came from Nicholas Colin, Associate Professor in business strategy, Université Paris-Dauphine, who pointed to the shifting power relationships between workers, executives, shareholders and customers.
 
 In the 1960s, Colin explained, workers were in a strong position. But in the 1970s, the situation changed. Capital was both more mobile and more concentrated and could now exert pressure on corporations and obtain higher returns over shorter periods.

Ajay Agrawal, Joshua Gans and Avi Goldfarb:

Today we are seeing similar hype about machine intelligence. But once again, as economists, we believe some simple rules apply. Technological revolutions tend to involve some important activity becoming cheap, like the cost of communication or finding information. Machine intelligence is, in its essence, a prediction technology, so the economic shift will center around a drop in the cost of prediction.
 
 The first effect of machine intelligence will be to lower the cost of goods and services that rely on prediction. This matters because prediction is an input to a host of activities including transportation, agriculture, healthcare, energy manufacturing, and retail.
 
 When the cost of any input falls so precipitously, there are two other well-established economic implications. First, we will start using prediction to perform tasks where we previously didn’t. Second, the value of other things that complement prediction will rise.

John Markoff

An automated army of pro-Donald J. Trump chatbots overwhelmed similar programs supporting Hillary Clinton five to one in the days leading up to the presidential election, according to a report published Thursday by researchers at Oxford University.
 
 The chatbots — basic software programs with a bit of artificial intelligence and rudimentary communication skills — would send messages on Twitter based on a topic, usually defined on the social network by a word preceded by a hashtag symbol, like #Clinton.
 
 Their purpose: to rant, confuse people on facts, or simply muddy discussions, said Philip N. Howard, a sociologist at the Oxford Internet Institute and one of the authors of the report. If you were looking for a real debate of the issues, you weren’t going to find it with a chatbot.

Related: Fake web traffic.

Steven Brill

When Sean Recchi, a 42-year-old from Lancaster, Ohio, was told last March that he had non-Hodgkin’s lymphoma, his wife Stephanie knew she had to get him to MD Anderson Cancer Center in Houston. Stephanie’s father had been treated there 10 years earlier, and she and her family credited the doctors and nurses at MD Anderson with extending his life by at least eight years.
 
Because Stephanie and her husband had recently started their own small technology business, they were unable to buy comprehensive health insurance. For $469 a month, or about 20% of their income, they had been able to get only a policy that covered just $2,000 per day of any hospital costs. “We don’t take that kind of discount insurance,” said the woman at MD Anderson when Stephanie called to make an appointment for Sean.
 
Stephanie was then told by a billing clerk that the estimated cost of Sean’s visit — just to be examined for six days so a treatment plan could be devised — would be $48,900, due in advance. Stephanie got her mother to write her a check. “You do anything you can in a situation like
that,” she says. The Recchis flew to Houston, leaving Stephanie’s mother to care for their two teenage children.

A rather spectacular moonrise this evening. Splendid Creation.

Jennifer Jacobs and Kevin

Scavino was the titular head of the multi-million-strong virtual community called the Trump Train, creating content and building memes that fueled passion for Trump into a victory. He was one of the few who had access to the @realdonaldtrump Twitter account and would send out tweets on Trump’s behalf. “His genius,” Glassner said, “is that he can read the candidate extremely well and understand the messaging he’ll want to put out at any given time, every given day. It’s being a spokesman times a hundred.”
 As a 16-year-old, Scavino had ambitions to work for Trump, and climbed his way up through the company to become a general manager. Scavino, a devout Catholic, is now so close to the Trumps that the campaign staff said they view him as more like a member of the family.

Postal Museum website (free!).

Google Chairman Eric Schmidt (1) writing to Cheryl Mills (2) on April 15, 2014.

A citizen holding a Vote sign on Election Day. He moved with the traffic.

1. DuckDuckGo on Eric Schmidt. More.

2. DuckduckGo on Cheryl Mills.

Benjamin Franklin:

QUOTATION:
“Well, Doctor, what have we got—a Republic or a Monarchy?”

“A Republic, if you can keep it.”

A few worthwhile election notes:

Chris Arnade. A must read, particularly for his work within “fly over” country.

‘We Don’t Know Who the Hero Is Until the Ship Sinks’ – Kinky Friedman:

Not only did Jesus ride in on a jackass, but Gandhi was a yuppie lawyer living in London, with no interest in helping people.

If you look at the great ones, Mother Teresa, Winston Churchill, FDR, they were all aristocratic freaks with very little interest in others. They’re very much like Trump. I mean, particularly Churchill. He was a polo player in India and an adult butterfly collector. They liked to hang out at the country club, Rachel. They were very privileged people.

When they got into office, Churchill and FDR, they did something that Obama was never able to do: change. The agent of change, Obama, could not change himself. He remained a fixed point in a changing world. It’s just too bad; it’s who he is. He’s not the smartest guy in the room. He may be the glibbest. He may be the most facile. I believe, if he’s concerned about a legacy, I believe he can pretty well forget that.

All I’m saying is, we don’t know who the hero is until the ship sinks. Or when the plane is crashing. You don’t know who’s going to run back and save somebody, or who’s going to dress up like a woman so he can hide in a lifeboat.

2007

“Bread and Circuses”, via wikipedia & Mencken Quotes.

The Most Important WikiLeaks Revelation Isn’t About Hillary Clinton.

Bailouts.

Killing the populist soul.

The Populist Revolt.

Donna Brazile is totally not sorry for leaking CNN debate questions to Hillary Clinton.

Democrats, Trump, and the Ongoing, Dangerous Refusal to Learn the Lesson of Brexit.

Assange on the US Election

Cathy Kraemer: The Politics of Resentment.

Finally, the Books of Daniel (more) and Romans (more) are always worth reading when contemplating history, not to mention recent events.

The Economist recently tweeted a link to “US Election Briefs 2016”.

A long time Economist reader, I thought it worth a look. Unfortunately, the link revealed an 11 “page” PDF (Portable Document Format, circa 1993) document.

It appears that the document was simply a rollup of previously published articles, created via desktop publishing software and combined into one file for the 2016 US Presidential election.

Surely the Economist, with its global view and deep history could do so much more than a PDF – tweeted I at Denise Law.

She asked what I would like as an alternative?

I have a few ideas:

Display metadata on the candidate names across Economist assets: search, views, requests, bots.

Publish visual representations of these relationships across your assets ala MIT’s ClintonCircle.

Display the information in a variety of ways, including time series and “river of news”. Sort using your metadata. The results are grist for your traditional and emerging channels.

Building for the future, map their travel (1), accomplices including candidates, donors, hangers on, reporters, lobbyists and “enthusiastic, smart and low paid permanent employees” (2). Begin to map legislation, rule making and executive orders (3) to these locations and people.

Add US voter data layers to the map in preparation for future elections.

Automate. Render short videos using the maps, relationships, money and data.

Season this work with EIU data.

Perhaps our simple amuz app might offer a bit of inspiration. amuz is designed as a quick, modern introduction to my home: Madison. It is a beginning.

I would be happy to chat in further detail, when convenient.

——

1. The Economist:

Since taking office, Mrs Clinton has visited 95 countries (see map) and logged some 730,000 miles, sometimes cramming more than a dozen meetings into a single day.

2. Google Chairman Eric Schmidt writing to Clinton Campaign Chair Tony Podesta.

3. A Bill (Kenan Thompson) tries to explain government to a little kid (Kyle Mooney), then President Obama (Jay Pharaoh) and his bullying friend Executive Order (Bobby Moynihan) explain how things really work. [SNL Season 40, 2014]

—–

P.S. The fruits of data and related analysis:

Propublica: President Obama promised to fight corporate concentration. Eight years later, the airline industry is dominated by just four companies. And you’re paying for it.

“They used their pull in the administration, including at the White House, and with a high-level friend at the Justice Department, going over the heads of staff prosecutors. And just days after the suit was announced, the airlines turned to Chicago Mayor Rahm Emanuel, Obama’s first White House chief of staff, to help push back against the Justice Department.

Some lawyers and officials who worked on the American-US Airways case now say they were “appalled” by the decision to settle, as one put it.

“It was a gross miscarriage of justice that that case was dropped and an outrage and an example of how our system should not work,” said Tom Horne, the former state attorney general of Arizona, one of seven states that were co-plaintiffs with the federal government.”

Rather fascinating to see the Mayor of Chicago mingling with a federal matter.