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Featured

‘The Curse Of Bigness’ Review: Revisiting The Gilded Age

by Richard A. Epsteinvia The Wall Street Journal
Sunday, December 2, 2018

Are Google, Facebook, Apple and Amazon akin to the dominant “trusts” of the late 19th century—and thus deserving of antitrust action? Richard A. Epstein reviews “The Curse of Bigness” by Tim Wu.

In the News

What’s Behind The Wall Street Journal Management Top 250

with Amit Seru via The Wall Street Journal
Friday, November 30, 2018

Of the five dimensions of a company’s performance that make up our Drucker Institute rankings, innovation has stood out from the beginning as the toughest for us to capture. Not that sizing up the other four areas—customer satisfaction, employee engagement and development, social responsibility and financial strength—is child’s play.

In the News

'1984' — On Steroids

quoting Victor Davis Hansonvia Patriot Post
Thursday, November 29, 2018

“Big Brother is Watching You.” —George Orwell, 1984 Privacy is dead. It’s death is best described as a homicide committed by tech titans, whose power and wealth are unprecedented, and millions of American accomplices whose insatiable quest to be noticed and validated — epitomized by the now-ubiquitous “like” button — has overcome any sense of foreboding.

Featured

Hoover’s Uncommon Knowledge Featured Nov. 29 On New Fox Nation

Thursday, November 29, 2018
Hoover Institution, Stanford University

The Hoover Institution’s Uncommon Knowledge with Peter Robinson will appear on the new Fox Nation streaming service on Nov. 29 with an exclusive interview of economist and Hoover senior fellow Thomas Sowell.

News
In the News

The Cyberlaw Podcast: You’ll Never Know How Evil A Technology Can Be Until The Engineers Deploying It Fear For Their Jobs

quoting Jamil Jaffervia Lawfare
Wednesday, November 28, 2018

I propose this episode’s title as Baker’s Law of Evil Technology, something that explains Twitter’s dysfunctional woke-ness, Yahoo’s crappy security and Uber’s deadly autonomous vehicles. Companies with lots of revenue can afford to offer a lot of stuff they don’t much care about, including protection of minority voices; security; and, um, not killing people. But as Uber’s travails show, all that can get tossed out the window when corporate survival is at stake.

Analysis and Commentary

Katie Haun Versus Paul Krugman On Cryptocurrency

by David R. Hendersonvia EconLog
Wednesday, November 28, 2018

Tyler Cowen recently linked to a debate between Stanford professor Katie Haun and Paul Krugman on cryptocurrency. I found myself torn but I did learn a few things and noticed a few interesting things. It starts with a 36-minute presentation by Haun. Then there’s a 25-minute presentation by Krugman and then a third 39-minute video with Q&A with the audience in Mexico City.

Analysis and Commentary

An Outcome-Based Analysis Of U.S. Cyber Strategy Of Persistence & Defense Forward

by Herbert Lin, Max Smeetsvia Lawfare
Wednesday, November 28, 2018

The new U.S. Cyber Command (USCYBERCOM) vision and the Department of Defense Cyber Strategy embody a fundamental reorientation in strategic thinking.

In the News

Step Aside Edison, Tesla And Bell. New Measurement Shows When U.S. Inventors Were Most Influential.

featuring Amit Seru via The Washington Post
Tuesday, November 27, 2018

It appears the third and largest wave of American innovation is drawing to a close, according to an ambitious and inventive effort to identify the most influential inventions of the past 180 years.

In the News

Afternoon Links: The Unintended Consequences Of Road Diets, How Lies Become Truth, And Jacob Wohl's Hipster Brew

mentioning Thomas Sowellvia Weekly Standard
Monday, November 26, 2018

Plus, when Mission Impossible meets Paddington Bear.

Featured

Imagine What We Could Cure

by J.J. Plecs, John H. Cochrane via The Wall Street Journal
Sunday, November 25, 2018

[Subscription Required] The discovery that cigarettes cause cancer greatly improved human health. But that discovery didn’t happen in a lab or spring from clinical trials. It came from careful analysis of mounds of data.

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