Why “Experts” Censor Their Views to Conform to the Consensus

GroupthinkBK2013-09-02.jpg

Source of book image: http://thesituationist.files.wordpress.com/2008/02/irving-janis-groupthink.jpg?w=197&h=290

(p. 5) In his classic 1972 book, “Groupthink,” Irving L. Janis, the Yale psychologist, explained how panels of experts could make colossal mistakes. People on these panels, he said, are forever worrying about their personal relevance and effectiveness, and feel that if they deviate too far from the consensus, they will not be given a serious role. They self-censor personal doubts about the emerging group consensus if they cannot express these doubts in a formal way that conforms with apparent assumptions held by the group.

For the full commentary, see:
ROBERT J. SHILLER. “ECONOMIC VIEW; Challenging the Crowd in Whispers, Not Shouts.” The New York Times, SundayBusiness Section (Sun., November 2, 2008): 5.
(Note: the online version of the commentary has the date November 1, 2008.)

The reference for the second, and last, edition of the Janis book, is:
Janis, Irving L. Groupthink: Psychological Studies of Policy Decisions and Fiascoes. 2nd (pb) ed. Boston, MA: Wadsworth Cengage Learning, 1982.

Yahoo Execs Complained that Google Did Yahoo Searches too Well

(p. 45) Even though Google never announced when it refreshed its index, there would invariably be a slight rise in queries around the world soon after the change was implemented. It was as if the global subconscious realized that there were fresher results available.
The response of Yahoo’s users to the Google technology, though, was probably more conscious. They noticed that search was better and used it more. “It increased traffic by, like, 50 percent in two months,” Manber recalls of the switch to Google. But the only comment he got from Yahoo executives was complaints that people were searching too much and they would have to pay higher fees to Google.
But the money Google received for providing search was not the biggest benefit. Even more valuable was that it now had access to many more users and much more data. It would be data that took Google search to the next level. The search behavior of users, captured and encapsulated in the logs that could be analyzed and mined, would make Google the ultimate learning machine.

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.

Silicon Valley May Be Insulated from the Jobs Ordinary People Need to Get Done

A long while ago I read somewhere that in his prime Bill Gates deliberately tested Microsoft software on the limited hardware that mainstream customers could afford, rather than on the cutting edge hardware he himself could easily afford. I thought that this gave an important clue to Gates’ and Microsoft’s success.
Christensen and Raynor (2003) suggest that the successful entrepreneur will think hard about what jobs ordinary people want to get done, but are having difficulty doing.
The passages quoted below suggest that Silicon Valley entrepreneurs are insulated from ordinary life, and so may need to work harder at learning what the real problems are.

(p. B5) Engineers tend to move to the Bay Area because of the opportunity to get together with other engineers and, just maybe, create a great company, Mr. Smith said. But in a region that has the highest concentration of tech workers in the United States, according to the Bureau of Labor Statistics, the bars, restaurants and other haunts of entrepreneurs can be an echo chamber. The result can be a focus on solutions for mundane problems.
. . .
. . . too often, says Jason Pontin, the editor in chief and publisher of MIT Technology Review, . . . start-ups are solving “fake problems that don’t actually create any value.” Mr. Pontin knows a thing or two about companies that aren’t exactly reaching for the stars. From 1996 to 2002, he was the editor of Red Herring, a magazine in San Francisco that chronicled the region’s dot-com boom and eventual collapse.

For the full commentary, see:
NICK BILTON. “Disruptions: The Echo Chamber of Silicon Valley.” The New York Times (Mon., June 3, 2013): B5.
(Note: ellipses added.)
(Note: the online version of the commentary has the date June 2, 2013.)

The Christensen and Raynor book that I mention above, is:
Christensen, Clayton M., and Michael E. Raynor. The Innovator’s Solution: Creating and Sustaining Successful Growth. Boston, MA: Harvard Business School Press, 2003.

How to Win the Nobel Prize with Dyslexia

GreiderCarolDyslexicNobelPrizeWinner2013-08-10.jpg “HER TURN; Dr. Carol W. Greider is a researcher at Johns Hopkins.” Source of caption and photo: online version of the NYT interview quoted and cited below.

(p. D1) Q. Did you always want to be a biologist?

A. My parents were scientists. But I wasn’t the sort of child who did science fairs. One of the things I was thinking about today is that as a kid I had dyslexia. I had a lot of trouble in school and was put into remedial classes. I thought that I was stupid.
Q. That must have hurt.
A. Sure. Yes. It was hard to overcome (p. D3) that. I kept thinking of ways to compensate. I learned to memorize things very well because I just couldn’t spell words. So later when I got to take classes like chemistry and anatomy where I had to memorize things, it turned out I was very good at that.
I never planned a career. I had these blinders on that got me through a lot of things that might have been obstacles. I just went forward. It’s a skill that I had early on that must have been adaptive. I enjoyed biology in high school and that brought me to a research lab at U.C. Santa Barbara. I loved doing experiments and I had fun with them. I realized this kind of problem-solving fit my intellectual style. So in order to continue having fun, I decided to go to graduate school at Berkeley. It was there that I went to Liz Blackburn’s lab, where telomeres were being studied.

For the full interview, see:
CLAUDIA DREIFUS. “A CONVERSATION WITH CAROL W. GREIDER; On Winning a Nobel Prize in Science.” The New York Times (Tues., October 13, 2009): D1 & D3.
(Note: bold in original; questions capitalized as in print version.)
(Note: the online version of the interview has the date October 12, 2009.)

Yahoo Valued “Marketing Gimmicks” More than Search Speed

(p. 44) Google had struck a deal to handle all the search traffic of Yahoo, one of the biggest portals on the web.
The deal–announced on June 26, 2000–was a frustrating development to the head of Yahoo’s search team, Udi Manber. He had been arguing that Yahoo should develop its own search product (at the time, it was licensing technology from Inktomi), but his bosses weren’t interested. Yahoo’s executives, led by a VC-approved CEO named Timothy Koogle (described in a BusinessWeek cover story as “The Grown-up Voice of Reason at Yahoo”), instead were devoting their attention to branding–marketing gimmicks such as putting the purple corporate logo on the Zamboni machine that swept the ice between periods of San Jose Sharks hockey games. “I had six people working on my search team,” Manber said. “I couldn’t get the seventh. This was a company that had thousands of people. I could not get the seventh.” Since Yahoo wasn’t going to develop its own search, Manber had the task of finding the best one to license.

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.
(Note: italics in original.)

Redundancy Allowed Google to Function with Cheap and Failure-Prone Hard Drives

(p. 42) . . . as the web kept growing, Google added more machines–by the end of 1999, there were eighty machines involved in the crawl (out of a total of almost three thousand Google computers at that time)–and the likelihood that something would break increased dramatically. Especially since Google made a point of buying what its engineers referred to as “el cheapo” equipment. Instead of commercial units that carefully processed and checked information, Google would buy discounted consumer models without built-in processes to protect the integrity of data.
As a stopgap measure, the engineers had implemented a scheme where the indexing data was stored on different hard drives. If a machine went bad, everyone’s pager would start buzzing, even if it was the middle of the night, and they’d barrel into the office immediately to stop the crawl, copy the data, and change the configuration files. “This happened every few days, and it basically stopped everything and was very painful,” says Sanjay Ghemawat, one of the DEC research wizards who had joined Google.
. . .
(p. 43) The experience led to an ambitious revamp of the way the entire Google infrastructure dealt with files. “I always had wanted to build a file system, and it was pretty clear that this was something we were going to have to do,” says Ghemawat, who led the team. Though there had previously been systems that handled information distributed over multiple files, Google’s could handle bigger data loads and was more nimble at running full speed in the face of disk crashes– which it had to be because, with Google’s philosophy of buying supercheap components, failure was the norm. “The main idea was that we wanted the file system to automate dealing with failures, and to do that, the file system would keep multiple copies and it would make new copies when some copy failed,” says Ghemawat.

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.
(Note: ellipses added.)

To Page and Brin Search Speed “Was Like Motherhood, and Scale Was Apple Pie”

(p. 37) The average search at that time, Hölzle recalls, took three and a half seconds. Considering that speed was one of the core values of Page and Brin– it was like motherhood, and scale was apple pie– this was a source of distress for the founders. “Basically during the middle of the day we were maxed out,” says Hölzle. “Nothing was happening for some users, because it would just never get a page basically back. It was all about scalability, performance improvements.” Part of the problem was that Page and Brin had written the system in what Hölzle calls “university code,” a nice way of saying amateurish.

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.

Google Started in Garage

(p. 34) On September 4, 1998, Page and Brin filed for incorporation and finally moved off campus. Sergey’s girlfriend at the time was friendly with a manager at Intel named Susan Wojcicki, who had just purchased a house on Santa Margarita Street in Menlo Park with her husband for $615,000. To help meet the mortgage, the couple charged Google $1,700 a month to rent the garage and several rooms in the house.

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.

“We Just Begged and Borrowed” for Equipment

(p. 32) Google was handling as many as 10,000 queries a day. At times it was consuming half of Stanford’s Internet capacity. Its appetite for equipment and bandwidth was voracious. “We just begged and borrowed,” says Page. “There were tons of computers around, and we managed to get some.” Page’s dorm room was essentially Google’s operations center, with a motley assortment of computers from various manufacturers stuffed into a homemade version of a server rack– a storage cabinet made of Legos. Larry and Sergey would hang around the loading dock to see who on campus was getting computers– companies like Intel and Sun gave lots of free machines to Stanford to curry favor with employees of the future– (p. 33) and then the pair would ask the recipients if they could share some of the bounty.
That still wasn’t enough. To store the millions of pages they had crawled, the pair had to buy their own high-capacity disk drives. Page, who had a talent for squeezing the most out of a buck, found a place that sold refurbished disks at prices so low– a tenth of the original cost– that something was clearly wrong with them. “I did the research and figured out that they were okay as long as you replaced the [disk] operating system,” he says. “We got 120 drives, about nine gigs each. So it was about a terabyte of space.” It was an approach that Google would later adopt in building infrastructure at low cost.
Larry and Sergey would be sitting by the monitor, watching the queries– at peak times, there would be a new one every second– and it would be clear that they’d need even more equipment. What next? they’d ask themselves. Maybe this is real.

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.
(Note: italics in original.)

George Mitchell, Father of Fracking, Took 20 Years to Make It Work

MitchellGeorgeFatherOfFracking2013-08-04.jpg

“George P. Mitchell with a statue of himself at The Woodlands in 2007.” Source of caption and photo: online version of the WSJ obituary quoted and cited below.

(p. B3) George P. Mitchell turned hydraulic fracturing from an experimental technique into an energy-industry mainstay, making it possible to pump oil and gas from once untappable rocks and unleashing an energy boom across the U.S.

Known as the father of fracking, Mr. Mitchell died Friday [July 26, 2013] at age 94 at his home in Galveston, Texas.
. . .
“George Mitchell, more than anyone else, is responsible for the most important energy innovation of the 21st century,” said Daniel Yergin, vice chairman of consulting firm IHS and a Pulitzer Prize winning author on energy.
. . .
His first efforts at fracking, in the late 1970s, were expensive, and at times investors and his board of directors questioned the spending. But by the late 1990s the company had figured out the right mix of techniques and materials to produce shale gas economically, and began to do so on a major scale.
Devon Energy Corp. bought Mr. Mitchell’s firm in 2002 for $3.1 billion, combined the hydraulic fracturing techniques with horizontal drilling, and helped launch the current surge in oil and gas production.

For the full obituary, see:
TOM FOWLER. “REMEMBRANCES; George P. Mitchell 1919-2013; ‘Father of Fracking’ Helped Unleash U.S. Energy Boom.” The Wall Street Journal (Sat., July 27, 2013): B3.
(Note: ellipses, and bracketed date, added.)
(Note: the online version of the obituary has the date July 26, 2013, and has the title “REMEMBRANCES; ‘Father of Fracking’ Dies at 94; George P. Mitchell Helped Unleash U.S. Energy Boom.”)

Excite Rejected Google Because It Was too Good

(p. 28) Maybe the closest Page and Brin came to a deal was with Excite, a search-based company that had begun– just like Yahoo– with a bunch of sharp Stanford kids whose company was called Architext before the venture capitalists (VCs) got their hands on it and degeekified the name. Terry Winograd, Sergey’s adviser, accompanied them to a meeting with Vinod Khosla, the venture capitalist who had funded Excite.
. . .
(p. 29) Khosla made a tentative counteroffer of $ 750,000 total. But the deal never happened. Hassan recalls a key meeting that might have sunk it. Though Excite had been started by a group of Stanford geeks very much like Larry and Sergey, its venture capital funders had demanded they hire “adult supervision,” the condescending term used when brainy geeks are pushed aside as top executives and replaced by someone more experienced and mature, someone who could wear a suit without looking as though he were attending his Bar Mitzvah. The new CEO was George Bell, a former Times Mirror magazine executive. Years later, Hassan would still laugh when he described the meeting between the BackRub team and Bell. When the team got to Bell’s office, it fired up BackRub in one window and Excite in the other for a bake-off.
The first query they tested was “Internet.” According to Hassan, Excite’s first results were Chinese web pages where the English word “Internet” stood out among a jumble of Chinese characters. Then the team typed “Internet” into BackRub. The first two results delivered pages that told you how to use browsers. It was exactly the kind of helpful result that would most likely satisfy someone who made the query.
Bell was visibly upset. The Stanford product was too good. If Excite were to host a search engine that instantly gave people information they sought, he explained, the users would leave the site instantly. Since his ad revenue came from people staying on the site–” stickiness” was the most desired metric in websites at the time– using BackRub’s technology would be (p. 30) counterproductive. “He told us he wanted Excite’s search engine to be 80 percent as good as the other search engines,” says Hassan. And we were like, “Wow, these guys don’t know what they’re talking about.”
Hassan says that he urged Larry and Sergey right then, in early 1997, to leave Stanford and start a company. “Everybody else was doing it,” he says. “I saw Hotmail and Netscape doing really well. Money was flowing into the Valley. So I said to them, ‘The search engine is the idea. We should do this.’ They didn’t think so. Larry and Sergey were both very adamant that they could build this search engine at Stanford.”
“We weren’t … in an entrepreneurial frame of mind back then,” Sergey later said.

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.
(Note: ellipsis between paragraphs added; ellipsis in last sentence, in original.)