Many Discoveries Take a Long Time Because “No One Really Looked”

Periods are a strange phenomenon. We don’t know why humans have them, or, to look at it another way, why most other animals don’t. Scientists say only 1.5 percent of mammal species have periods, and most of those are primates like us. The ranks of the menstrually afflicted grew a little bit recently, as researchers learned that female spiny mice have periods, too. They shared their findings on the bioRxiv preprint server.
. . .
Why did it take scientists so long to notice that these curious creatures were part of the period posse? “The answer, as with many discoveries in science, is that no one really looked,” said Hayley Dickinson, a reproductive physiologist and long-time spiny rat researcher at the University of Monash. “Everyone knew that rodents didn’t menstruate.”

For the full story, see:
Nowogrodzki, Anna. “First Rodent Found with a Humanlike Menstrual Cycle.” Nature (Fri., June 10, 2016).
(Note: ellipsis added.)

The preprint of the research mentioned above is:
Bellofiore, Nadia, Stacey J. Ellery, Jared Mamrot, David W. Walker, Peter Temple-Smith, and Hayley Dickinson. “First Evidence of a Menstruating Rodent: The Spiny Mouse (Acomys Cahirinus).” bioRxiv (June 3, 2016).

$10,000 Universal Income Would Reduce Work and Cost Taxpayers Trillions

(p. B4) This month [June 2016], Charles Murray of the American Enterprise Institute will publish an updated version of his plan to replace welfare as we know it with a dollop of $10,000 in after-tax income for every American above the age of 21.
. . .
Its first hurdle is arithmetic. As Robert Greenstein of the left-leaning Center on Budget and Policy Priorities put it, a check of $10,000 to each of 300 million Americans would cost more than $3 trillion a year.
Where would that money come from? It amounts to nearly all the tax revenue collected by the federal government. Nothing in the history of this country suggests Americans are ready to add that kind of burden to their current taxes. Cut it by half to $5,000?
. . .
As Lawrence H. Summers, the former Treasury secretary and onetime top economic adviser to President Obama, told me, paying a $5,000 universal basic income to the 250 million nonpoor Americans would cost about $1.25 trillion a year. . . .
The popularity of the universal basic income stems from a fanciful diagnosis born in Silicon Valley of the challenges faced by the working class across industrialized nations: one that sees declining employment rates and stagnant wages and concludes that robots are about to take over all the jobs in the world.
. . .
Work, as Lawrence Katz of Harvard once pointed out, is not just what people do for a living. It is a source of status. It organizes people’s lives. It offers an opportunity for progress. None of this can be replaced by a check.
A universal basic income has many undesirable features, starting with its non-negligible disincentive to work. Almost a quarter of American households make less than $25,000. It would be hardly surprising if a $10,000 check each for mom and dad sapped their desire to work.
. . .
As Mr. Summers told a gathering last week at the Brookings Institution, “a universal basic income is one of those ideas that the longer you look at it, the less enthusiastic you become.”

For the full commentary, see:
Porter, Eduardo. “ECONOMIC SCENE; Plan to End Poverty Is Wide of the Target.” The New York Times (Weds., June 1, 2016): B1 & B4.
(Note: ellipses, and bracketed date, added.)
(Note: the online version of the commentary has the date MAY 31, 2016, and has the title “ECONOMIC SCENE; A Universal Basic Income Is a Poor Tool to Fight Poverty.”)

Tesla and Google Bet on Different Paths to Driverless Cars

(p. B1) SAN FRANCISCO — In Silicon Valley, where companies big and small are at work on self-driving cars, there have been a variety of approaches, and even some false starts.
The most divergent paths may be the ones taken by Tesla, which is already selling cars that have some rudimentary self-driving functions, and Google, which is still very much in experimental mode.
Google’s initial efforts in 2010 focused on cars that would drive themselves, but with a person behind the wheel to take over at the first sign of trouble and a second technician monitoring the navigational computer.
As a general concept, Google was trying to achieve the same goal as Tesla is claiming with the Autopilot feature it has promoted with the Model S, which has hands-free technology that has come under scrutiny after a fatal accident on a Florida highway.
But Google decided to play down the vigilant-human approach after an experiment in 2013, when the company let some of its employees sit behind the wheel of the self-driving cars on their daily commutes.
Engineers using onboard video cameras to remotely monitor the results were alarmed by what (p. B5) they observed — a range of distracted-driving behavior that included falling asleep.
“We saw stuff that made us a little nervous,” Christopher Urmson, a former Carnegie Mellon University roboticist who directs the car project at Google, said at the time.
The experiment convinced the engineers that it might not be possible to have a human driver quickly snap back to “situational awareness,” the reflexive response required for a person to handle a split-second crisis.
So Google engineers chose another route, taking the human driver completely out of the loop. They created a fleet of cars without brake pedals, accelerators or steering wheels, and designed to travel no faster than 25 miles an hour.
For good measure they added a heavy layer of foam to the front of their cars and a plastic windshield, should the car make a mistake. While not suitable for high-speed interstate road trips, such cars might one day be able to function as, say, robotic taxis in stop-and-go urban settings.

For the full story, see:
JOHN MARKOFF. “Tesla and Google Take Two Roads to Driverless Car.” The New York Times (Tues., JULY 5, 2016): B1 & B5.
(Note: the online version of the commentary has the date JULY 4, 2016, and has the title “Tesla and Google Take Different Roads to Self-Driving Car.”)

Tech Support Causes Rage By Taking Away Sense of Control

(p. B4) Especially frustrating when talking to tech support is not being understood because you are trying to communicate with machines or people who have been trained to talk like machines, either for perceived quality control or because they don’t speak English well enough to go off-script.
“It’s utterly maddening because the thing about conversations is that when I say something to you, I believe I’m having influence on the conversation,” said Art Markman, professor of psychology at the University of Texas at Austin and co-host of the podcast “Two Guys on Your Head.” “And when you say something back to me that makes no sense, now I see that all these words I spoke have had no effect whatsoever on what’s happening here.”
When things don’t make sense and feel out of control, mental health experts say, humans instinctively feel threatened. Though you would like to think you can employ reason in this situation, you’re really just a mass of neural impulses and primal reactions. Think fight or flight, but you can’t do either because you are stuck on the phone, which provokes rage.
Of course, companies rated best for tech support often charge more for their products or they may charge a subscription fee for enhanced customer care so the cost of helping you is baked in, as with Apple’s customer support service, AppleCare, and the Amazon Prime subscription service.
You can also find excellent tech support in competitive markets like domain name providers, where operators such as Hover and GoDaddy receive high marks. Also a good bet are hungry upstarts trying to break into markets traditionally dominated by large national companies. Take regional internet and phone service providers like Logix and WOW, which rank near the top in customer support surveys.

For the full story, see:
KATE MURPHY. “Why Help on Tech Is Unbearable.” The New York Times (Mon., July 4, 2016): B1 & B4.
(Note: the online version of the story has the date July 3, 2016, and has the title “Why Tech Support Is (Purposely) Unbearable.”)

The Lucky Success of the Half-Blind “Becomes the Inevitable Coup of the Assured Visionary”

(p. B1) The most fun business book I have read this year? “Chaos Monkeys: Obscene Fortune and Random Failure in Silicon Valley,” by a former Facebook executive, Antonio García Martinez. I was sent a galley copy several months ago and picked it up with no intention of reading more than the first couple of pages. I don’t think I looked up until about three hours later.
This is a tell-all of Mr. Martinez’s experience in venture capital and later at Facebook, filled with insights about Silicon Valley — what he calls “the tech whorehouse” — mixed with score-settling anecdotes that will occasionally make you laugh out loud. Clearly there will be people who hate this book — which is probably one of the things that makes it such a great read.
The dedication page includes this gem: “To all my enemies: I could not have done it without you.” Mr. Martinez is particularly incisive when it comes to illustrating how failed ideas that happen to work are often spun into great successes: “What was an improbable bonanza at the hands of the flailing half-blind becomes the inevitable coup of the assured visionary,” he writes. “The world crowns you a genius, and you start acting like one.”

For the full commentary, see:
Sorkin, Andrew Ross. “DEALBOOK; Tell-Alls, Strategic Plans and Cautionary Tales.” The New York Times (Tues., JULY 5, 2016): B1 & B4.
(Note: the online version of the commentary has the date JULY 4, 2016, and has the title “DEALBOOK; A Reading List of Tell-Alls, Strategic Plans and Cautionary Tales in Finance.”)

The book praised by Sorkin in the passage quoted above, is:
Martinez, Antonio Garcia. Chaos Monkeys: Obscene Fortune and Random Failure in Silicon Valley. New York: Harper, 2016.

Half of Important Psychology Articles Could Not Be Replicated

(p. A1) The past several years have been bruising ones for the credibility of the social sciences. A star social psychologist was caught fabricating data, leading to more than 50 retracted papers. A top journal published a study supporting the existence of ESP that was widely criticized. The journal Science pulled a political science paper on the effect of gay canvassers on voters’ behavior because of concerns about faked data.
Now, a painstaking yearslong effort to reproduce 100 studies published in three leading psychology journals has found that more than half of the findings did not hold up when retested. The analysis was done by research psychologists, many of whom volunteered their time to double-check what they considered important work. Their conclusions, reported Thursday [August 27, 2015] in the journal Science, have confirmed the worst fears of scientists who have long worried that the field needed a strong correction.
The vetted studies were considered part of the core knowledge by which scientists understand the dynamics of personality, relationships, learning and memory. Therapists and educators rely on such findings to help guide decisions, and the fact that so many of the studies were called into question could sow doubt in the scientific underpinnings of their work.

For the full story, see:
BENEDICT CAREY. “Psychology’s Fears Confirmed: Rechecked Studies Don’t Hold Up.” The New York Times (Fri., AUG. 28, 2015): A1 & A13.
(Note: bracketed date added.)
(Note: the online version of the story has the date AUG. 27, 2015 and has the title “Many Psychology Findings Not as Strong as Claimed, Study Says.”)

The Science article reporting the large number of psychology articles that proved unreplicable, is:
Open Science Collaboration. “Estimating the Reproducibility of Psychological Science.” Science 349, no. 6251 (Aug. 28, 2015): 943.

Long-Term Goals, Rather than Friends, Most Stimulate the Intelligent

(p. D1) A study published in February [2016] in the British Journal of Psychology looked at 15,000 respondents and found that people who had more social interactions with close friends reported being happier–unless they were highly intelligent. People with higher I.Q.s were less content when they spent more time with friends. Psychologists theorize that these folks keep themselves intellectually stimulated without a lot of social interaction, and often have a long-term goal they are pursuing.

For the full story, see:

ELIZABETH BERNSTEIN. “Why Making New Friends Is Harder for Grown-Ups.” The Wall Street Journal (Tues., April 19, 2016): D1 & D4.

(Note: the bracketed year was added.)
(Note: the online version of the story has the date April 18, 2016, and has the title “The Science of Making Friends.”)

The academic psychology paper mentioned above (with title ellipsis in original), is:
Li, Norman, and Satoshi Kanazawa. “Country Roads, Take Me Home… to My Friends: How Intelligence, Population Density, and Friendship Affect Modern Happiness.” British Journal of Psychology (epublished on Feb. 1, 2016) DOI: 10.1111/bjop.12181.

Bold, Intelligent, Freedom-Loving Octopus “Inky” Escapes to the Sea

OctopusInkyEyesCaptors2016-05-16.jpgInky eyes captors. Source of photo: online version of the NYT article quoted and cited below.

(p. A8) It was an audacious nighttime escape.

After busting through an enclosure, the nimble contortionist appears to have quietly crossed the floor, slithered through a narrow drain hole about six inches in diameter and jumped into the sea. Then he disappeared.
This was no Houdini, but rather a common New Zealand octopus called Inky, about the size of a soccer ball.
The breakout at the National Aquarium of New Zealand in Napier, which has captured the imagination of New Zealanders and made headlines around the world, apparently began when Inky slipped through a small gap at the top of his tank.
Octopus tracks suggest he then scampered eight feet across the floor and slid down a 164-foot-long drainpipe that dropped him into Hawke’s Bay, on the east coast of North Island, according to reports in New Zealand’s news media.
. . .
Alix Harvey, an aquarist at the Marine Biological Association in England, noted that octopuses, members of a class of marine animals including squid and cuttlefish called Cephalopoda, have shown themselves to be adept at escaping through spaces as small as a coin, constrained only by their beaks, the only inflexible part of their bodies.
Ms. Harvey said that octopuses had also been documented opening jars and sneaking through tiny holes on boats, and that they could deflect predators by spraying an ink that lingers in the water and acts as a decoy. Some have been seen hauling coconut shells to build underwater shelters.
. . .
She continued, “They have a complex brain, have excellent eyesight, and research suggests they have an ability to learn and form mental maps.”
. . .
Octopuses’ intelligence, she said, was partly an evolutionary response to their habitation in complex environments such as coral reefs, in which the animals need to hide from predators and sneak up on their prey.

For the full story, see:
DAN BILEFSKY. “Octopus Escapes From an Aquarium in New Zealand.” The New York Times (Thurs., APRIL 14, 2016): A8.
(Note: ellipses added.)
(Note: the online version of the story has the date APRIL 13, 2016, and has the title “Inky the Octopus Escapes From a New Zealand Aquarium.”)

Many Empirical Research Results Are False

(p. B7) Research on 100 studies in psychology found in 2015 that more than 60% couldn’t be replicated. Similar results have been found in medicine and economics. Campbell Harvey, a professor at Duke University and president of the American Finance Association, estimates that at least half of all “discoveries” in investment research, and financial products based on them, are false.
. . .
Brian Nosek, a psychology professor at the University of Virginia and executive director of the Center for Open Science, a nonprofit seeking to improve research practices, has spent much of the last decade analyzing why so many studies don’t stand up over time.
Because researchers have an incentive to come up with results that are “positive and clean and novel,” he says, they often test a plethora of ideas, throwing out those that don’t appear to work and pursuing those that confirm their own hunches.
If the researchers test enough possibilities, they may find positive results by chance alone — and may fool themselves into believing that luck didn’t determine the outcomes.

For the full commentary, see:
JASON ZWEIG. “Chasing Hot Returns in ‘Smart-Beta’ Can Be Dumb.” The Wall Street Journal (Sat., Feb 13, 2016): B1 & B7.
(Note: ellipsis added.)
(Note: the online version of the commentary has the date Feb 12, 2016, and has the title “Chasing Hot Returns in ‘Smart-Beta’ Funds Can Be a Dumb Idea.”)

College Students Have Been Raised to Be Fragile

In the passage quoted below, John Leo interviews John Haidt, a social psychologist at NYU.

(p. A9) Haidt: . . . Children since the 1980s have been raised very differently–protected as fragile. The key psychological idea, which should be mentioned in everything written about this, is Nassim Taleb’s concept of anti-fragility.

Leo: What’s the theory?
Haidt: That children are anti-fragile. Bone is anti-fragile. If you treat it gently, it will get brittle and break. Bone actually needs to get banged around to toughen up. And so do children. I’m not saying they need to be spanked or beaten, but they need to have a lot of unsupervised time, to get in over their heads and get themselves out. And that greatly decreased in the 1980s. Anxiety, fragility and psychological weakness have skyrocketed in the last 15-20 years. So, I think millennials come to college with much thinner skins. And therefore, until that changes, I think we’re going to keep seeing these demands to never hear anything offensive.

Source of the Haidt interview passage quote:
“Notable & Quotable: ‘Anti-Fragility in Children.” The Wall Street Journal (Tues., Feb. 23, 2016): A9.
(Note: ellipsis added.)
(Note: the online version of the quotes from the interview with Haidt has the date Feb. 22, 2016, and has the title “Notable & Quotable: Our Weak, Fragile Millennials.”)

For John Leo’s full interview with Jonathan Haidt, see:
http://www.mindingthecampus.org/2016/02/a-conversation-with-jonathan-haidt/

The Taleb book referred to, is:
Taleb, Nassim Nicholas. Antifragile: Things That Gain from Disorder. New York: Random House, 2012.

Slower World of Narrative Leads to Analogies, Comparisons and Understanding

(p. A25) As the neuroscientist Susan Greenfield writes in her book “Mind Change,” expert online gamers have a great capacity for short-term memory, to process multiple objects simultaneously, to switch flexibly between tasks and to quickly process rapidly presented information.
. . .
Research at the University of Oslo and elsewhere suggests that people read a printed page differently than they read off a screen. They are more linear, more intentional, less likely to multitask or browse for keywords.
The slowness of solitary reading or thinking means you are not as concerned with each individual piece of data. You’re more concerned with how different pieces of data fit together. How does this relate to that? You’re concerned with the narrative shape, the synthesizing theory or the overall context. You have time to see how one thing layers onto another, producing mixed emotions, ironies and paradoxes. You have time to lose yourself in another’s complex environment.
As Greenfield puts it, “by observing what happens, by following the linear path of a story, we can convert information into knowledge in a way that emphasizing fast response and constant stimulation cannot. As I see it, the key issue is narrative.”
When people in this slower world gather to try to understand connections and context, they gravitate toward a different set of questions. These questions are less about sensation than about meaning. They argue about how events unfold and how context influences behavior. They are more likely to make moral evaluations. They want to know where it is all headed and what are the ultimate ends.
Crystallized intelligence is the ability to use experience, knowledge and the products of lifelong education that have been stored in long-term memory. It is the ability to make analogies and comparisons about things you have studied before. Crystallized intelligence accumulates over the years and leads ultimately to understanding and wisdom.

For the full commentary, see:
David Brooks. “Building Attention Span.” The New York Times (Fri., JULY 10, 2015): A25.
(Note: ellipsis added.)

The book discussed in the commentary, is:
Greenfield, Susan. Mind Change: How Digital Technologies Are Leaving Their Mark on Our Brains. New York: Random House, 2015.