πŸ’Ž On the dangers of focusing on short-term efficiency (and the waggle dance)

There is a parallel in the behaviour of bees, which do not make the most of the system they have evolved to collect nectar and pollen. Although they have an efficient way of communicating about the direction of reliable food sources, the waggle dance, a significant proportion of the hive seems to ignore it altogether and journeys off at random. In the short term, the hive would be better off if all bees slavishly followed the waggle dance, and for a time this random behaviour baffled scientists, who wondered why 20 million years of bee evolution had not enforced a greater level of behavioural compliance. However, what they discovered was fascinating: with out these rogue bees, the hive would get stuck in what complexity theorists call ‘a local maximum’; they would be so efficient at collection food from known sources that, once these existing sources of food dried up, they wouldn’t know where to go next and the hive would starve to death. So the rogue bees are, in a sense, they hive’s research and development function, and their inefficiency pays off handsomely when they discover afresh source of food. It is precisely because they do not concentrate exclusively on short-term efficiency that bees have survived so many million years.

If you optimise something in one direction, you may be creating a weakness somewhere else.

Excerpt from: Alchemy: The Surprising Power of Ideas That Don’t Make Sense by Rory Sutherland

πŸ’Ž On the power of simplicity (in aviation and beyond)

The French aviator and author Antoine de Saint-Exupery once offered a definition of engineering elegance: “A designer knows he has achieved perfection not when there is nothing left to add, but when there is nothing left to take away.” A designer of simple ideas should aspire to the same goal: knowing how much can be wrung out of an idea before it begins to lose its essence.

Excerpt from: Made to Stick: Why some ideas take hold and others come unstuck by Chip Heath and Dan Heath

 

πŸ’Ž On the dangers of relentlessly seeking cost-savings and efficiency (the doorman fallacy)

Business, technology and, to a great extent, government have spent the last several decades engaged in an unrelenting quest for measurable gains in efficiency. However, what they have never asked, is whether people like efficiency as much as economic theory believes they do. The ‘doorman fallacy’, as I call it, is what happens when your strategy becomes synonymous with cost-saving and efficiency; first you define a hotel doorman’s role as ‘opening the door’, then you replace his role with an automatic door-opening mechanism.

The problem arises because opening the door is only the notional role of a doorman; his other, less definable sources of value lie in a multiplicity of other functions, in addition to door-opening: taxi-hailing, security, vagrant discouragement, customer recognition, as well as in signalling the status of the hotel. The doorman may actually increase what you can charge for a night’s stay in your hotel.

When every function of a business is looked at from the same narrow economic standpoint, the same game is applied endlessly. Define something narrowly, automate or streamline it — or remove it entirely — then regard the savings as profit.

Excerpt from: Alchemy: The Surprising Power of Ideas That Don’t Make Sense by Rory Sutherland

πŸ’Ž On decision-making quality decreasing as the stakes rise (small versus large purchases)

After my first lecture, Binmore offered a version of the “low stakes” critique. He said that if he were running a supermarket, he would want to consult my research because, for inexpensive purchases, the things I studied might possibly matter. But if he were running an automobile dealership, my research would be of little relevance. At high stakes people would get stuff right.

The next day I presented what I now call the “Binmore continuum” in his honor. I wrote a list of products on the blackboard that varied from left to right based on frequency of purchase. On the left I started with cafeteria lunch (daily), then milk and bread (twice a week), and so forth up to sweaters, cars, and homes, career choices, and spouses (no more than two or three per lifetime for most of us). Notice the trend. We do small stuff often enough to learn to get it right, but when it comes to choosing a home, a mortgage , or a job, we don’t get much practise or opportunities to learn. And when it comes to saving for retirement, barring reincarnations we do that exactly once. So Binmore had it backward. Because learning takes practice, we are more likely to get things right at small stakes than at large stakes. This means critics have to decide which argument they want to apply. If learning is crucial, then as the stakes go up, decision-making quality is likely to go down.

Excerpt from: Misbehaving: The Making of Behavioural Economics by Richard H Thaler

πŸ’Ž On the folly of hunting for a guaranteed formula for business success (because one does not exist)

Hunting for a guaranteed formula for success is a fool’s errand. As Phil Rosenzweig, Professor of Strategy and International Business at IMD wrote in The Halo Effect:

“Anyone who claims to have found laws of business physics either understands little about business, little about physics or little about both.”

Excerpt from: The Choice Factory: 25 behavioural biases that influence what we buy by Richard Shotton

πŸ’Ž On unpicking complex problems (using Post-it notes)

I visited a very high-powered consultant friend with hundreds of degrees and a CV to die for.

Yet his desk was littered with Post-it notes.

I asked him what he was doing. He said he was solving a problem by writing down the key themes on separate notes, then simply grouping and rearranging them until he saw a pattern emerge.

My first reaction was that this was a hopelessly analogue and ‘scattergun’ way of working — until I had a go myself.

I’ve never looked back.

Try it.

Excerpt from: Now Try Something Weirder: How to keep having great ideas and survive in the creative business by Michael Johnson

πŸ’Ž On how to have good ideas (throw away the bad ones)

The American writer and scientist Linus Pauling famously said: ‘The best way to have good ideas is to have lots of ideas and throw away the bad ones.’ He was right. Stop staring at a blank screen, waiting for a ‘Eureka!’ moment. Start scribbling. Stick thing on the wall. Create stuff. Share it with others. It’s amazing how often just talking about your ideas leads to new, better ones.

Excerpt from: Now Try Something Weirder: How to keep having great ideas and survive in the creative business by Michael Johnson

πŸ’Ž On the human desire to meddle ever so slightly (an old presentation trick)

This is an old presentation trick, but it’s good.

It was started by an advertising agency that would produce carefully worked-out presentation concepts, but always include a blue duck somewhere in the visual. When it came to the feedback, clients would say: “We love it, apart from just one thing — can you take the duck out?”

The creatives would sign a little, make a brief but lacklustre defence of their ultramarine mascot, then agree to the change — knowing everything else was going through. And they used this trick for years.

It’s a simple bit of psychology, really, reflecting the human desire to meddle ever so slightly. The clients would feel they had made a crucial intervention, little knowing that they had been deceived into approving everything else.

Excerpt from: Now Try Something Weirder: How to keep having great ideas and survive in the creative business by Michael Johnson

πŸ’Ž On P-hacking leading to the most ridiculous conclusions (the emotions of dead salmon)

A classic demonstration was an experiment carried out by reputable researchers in 2009 which involved showing a subject a series of photographs of humans expressing different emotions, and carrying out brain imaging (fMRI) to see which regions of the subject’s brain showed a significant response, taking P < 0.001.

The twist was that the β€˜subject’ was a 41b Atlantic salmon, which β€˜was not alive at the time of scanning’. Out of a total of 8,064 sites in the brain of this large dead fish, 16 showed a statistically significant response to the photographs. Rather than concluding the dead salmon had miraculous skills, the team correctly identified the problem of multiple testing – over 8,000 significance tests are bound to lead to falsepositive results. Even using a stringent criterion of P < 0.001, we would expect 8 significant results by chance alone.

Excerpt from: The Art of Statistics: Learning from Data by David Spiegelhalter

πŸ’Ž On staying within your circle of competence (when not to bet)

In his far from mediocre book Risk Intelligence, Dylan Evans describes a professional backgammon player by the name of J.P. “He would make a few deliberate mistakes to see how well his opponent would exploit them. If the other guy played well, J.P. would stop playing. That way, he wouldn’t throw good money after bad. In other words, J.P. know something that most gamblers don’t: he knew when not to bet.” He knew which opponents would force him out of his circle of competence, and he learned to avoid them.

Excerpt from: The Art of the Good Life: Clear Thinking for Business and a Better Life by Rolf Dobelli

πŸ’Ž On how too much data can make us overconfident in our predictions (rather than boost their accuracy)

The problem of more data was investigated by Paul Slovic, Professor of Psychology at the University of Oregon. He ran an experiment with professional horseracing handicap setters in which they were given a list of 88 variables that were useful in predicting a horse’s performance. The participants then had to predict the outcome of the race and their confidence in their prediction. They repeated these tasks with access to different levels of data: either 5, 10, 20, 30 or 40 of the variables.

The results were illuminating. Accuracy was the same regardless of the number of variables used. However, overconfidence grew as more data was harnessed. Experts overestimated the importance of factors that had a limited value. It was only when five data points were used that accuracy and confidence were well calibrated.

Marketers face a similar set of problems. They have access to more data than ever before and many believe that because the information exists they should use it. The Slovic experiment suggests otherwise. We shouldn’t harness data just because we can. Instead, as much time should be spent choosing which data sets to ignore as which to use.

Excerpt from: The Choice Factory: 25 behavioural biases that influence what we buy by Richard Shotton

πŸ’Ž Having an idea isn’t enough, you’ve got to persuade others to act (an extreme example)

One morning in 1984 Barry Marshall skipped breakfast and asked his colleagues to meet him in the lab. While they watched in horror, he chugged a glass filled with about a billion H. pylori. It tasted like swamp water”, he said.

Within a few days, Marshall was experiencing pain, nauseam and vomiting — the classic symptoms of gastritis, the early stage of an ulcer. Using an endoscope, his colleagues found that his stomach lining, previously pink and healthy, was now red an inflamed. Like a magician, Marshal then cured himself with a course of antibiotics and bismuth (the active ingredient in Pepto-Bismol).

Even after this dramatic demonstration, the battle wasn’t over. Other scientists quibbled with the demonstration. Marshall had cued himself before he developed a full-blown ulcer, they argued, so maybe he had just generated ulcer symptoms rather than a genuine ulcer. But Marshall’s demonstration gave a second wind to supporters of the bacteria theory, and subsequent research amassed more and more evidence in his favor.

In 1994, ten years later, the National Institutes of Health finally endorsed the idea that antibiotics were the preferred treatment for ulcers.

Excerpt from: Made to Stick: Why some ideas take hold and others come unstuck by Chip Heath and Dan Heath

πŸ’Ž On the importance of successes and failures (not case studies and anecdotes)

Other people conjecture based on case studies and anecdotes. Because so many of the most popular YouTube videos are either funny or cute — involving babies or kittens — you commonly hear that humor or cuteness is a key ingredient for virality.

But these “theories” ignore the fact that many funny or cute videos never take off. Sure, some cat clips get millions of views, but those are the outliers, not the norm. Most get less than a few dozen.

You may as well observe that Bill Clinton, Bill Gates, and Bill Cosby are all famous and conclude that changing your name to Bill is the route to fame and fortune. Although the initial observation is correct, the conclusion is patently ludicrous. By merely looking at a handful of viral hits, people miss the fact that many of those features also exist in content that failed to attract any audience whatsoever. To fully understand what causes people to share things, you have to look at both successes and failures. And whether, more often than not, certain characteristics are linked to success.

Excerpt from: Contagious: Why Things Catch On by Jonah Berger

πŸ’Ž On the Knowledge Illusion (how do zippers work?)

How does a zipper work? Rate your understanding on a scale from 0 (no clue) to 10 (easy-peasy). Write the number down. Now sketch out on a piece of paper how a zipper actually works. Add a brief description, as through you were trying to explain it very precisely to someone who’d never seen a zipper before. Give yourself a couple of minutes. Finished? Now reassess your understanding of zippers on the same scale.

Leonid Rozenblit and Frank Keil, researchers at Yale University confronted hundreds of people with equally simple questions. How does a toilet work? How does a battery work? The results are always the same: we think we understand these things reasonably well until we’re force to explain them. Only then do we appreciate how many gaps there are in our knowledge You’re probably similar. You were convinced you understood more than you actually did. That’s the knowledge illusion.

Excerpt from: The Art of the Good Life: Clear Thinking for Business and a Better Life by Rolf Dobelli

πŸ’Ž On how Pixar’s most original and successful films started out (as β€œUgly Babies”)

Originality is fragile. And, in its first moments, it’s often far from pretty. This is why I call early mock-ups of our films “Ugly Babies”. They are not beautiful, miniature versions of the adults they will grow up to be. They are truly ugly: awkward and unformed, vulnerable and incomplete. They need nurturing — in the form of time and patience — in order to grow.

Excerpt from: Loonshots: How to Nurture the Crazy Ideas That Win Wars, Cure Diseases, and Transform Industries by Safi Bahcall

πŸ’Ž On using political influence creatively to solve problems (a different type of Russian influence)

So he wrote to the Russian embassy in Washington DC.

He told them the story about the poverty-like conditions the people of Vulcan, West Virginia were living in.

He told them America couldn’t even afford to build a bridge.

He knew that Russia had a foreign aid budget that could help build a bridge where America couldn’t afford to do it.

The Russians know this would be a major propaganda coup. They immediately sent a reporter, Iona Andronov, to visit Vulcan.

He could write the story about how the USA couldn’t support their own people.

How the poor people of America were crying out to Russia for help.

But the Russian embassy had to get permission from the US State Department before making the trip.

The US government wanted to know why they were going to the middle of nowhere.

When they found out about Vulcan’s bridge, things began happening.

This could embarrass the US worldwide.

The government told the state to fix it, NOW.

Excerpt from: Creative Blindness (And How To Cure It): Real-life stories of remarkable creative vision by Dave Trott

πŸ’Ž On increasing the diversity of your team (when 10 x 1 does not equal 1 x 10)

But 10 x 1 does not equal 1 x 10. Imagine you have ten roles to fill, and you ask ten colleagues to each hire one person. Obviously each person will try to recruit the best person they can find — that’s the same as asking on person to choose the ten best hires he can find, right? Wrong. Anyone choosing a group of ten people will instinctively deploy a much wider variance than someone hiring one person. The reason for this is that with one person we look for conformity, but with ten people we look for complementarity.

If you were only allowed to eat one food, you might choose the potato. Barring a few vitamins and trace minerals, it contains all the essential amino acids you need to build proteins, repair cells and fight diseases – eating just five a day would support you for weeks. However, if you were told you could only eat ten food for the rest of your life, you would not choose ten different types of potato. In fact, you may not choose potatoes at all — you would probably choose something more varied.

Excerpt from: Alchemy: The Surprising Power of Ideas That Don’t Make Sense by Rory Sutherland

πŸ’Ž On the need to be comfortable with uncertainty (the pleasure of finding things out)

Legendary physicist Richard Feynman encapsulated this way that scientists communicate uncertainty and how they strive to avoid the extremes of rights and wrong when he said, “Statements of science are not of what is true and what is not true, but statements of what is known to different degrees of certainty… Every one of the concepts of science is on a scale graduated somewhere between, but at neither end of, absolute falsity or absolute truth.” (This appears in a collection of his short works, The Pleasure of Finding Things Out.)

Excerpt from: Thinking in Bets: Making Smarter Decisions When You Don’t Have All the Facts by Annie Duke

πŸ’Ž On the importance of exposing our ideas to people who disagree with them (knowing the whole subject)

John Stuart Mill is one of the heroes of thinking in bets. More than one hundred and fifty years after writing On Liberty, his thinking on social and political philosophy remains startlingly current. One of the frequent themes in On Liberty is the importance of diversity of opinion. Diversity and dissent are not only checks on fallibility, but the only means of testing the ultimate truth of an opinion: “The only way in which a human being can make some approach to knowing the whole of a subject is by hearing what can be said about it by persons of every variety of opinion, and studying all modes in which it can be looked at by every character of mind. No wise man ever acquired his wisdom in any mode but this; nor is it in the nature of human intellect to become wise in any other manner.”

Excerpt from: Thinking in Bets: Making Smarter Decisions When You Don’t Have All the Facts by Annie Duke

πŸ’Ž On how big numbers fail to move us (for charity fundraising)

In a 1992 survey by W. H. Desvousges and colleagues, people were told that birds were dying because they became mired in uncovered pools of oil at refineries. This (fictitious) problem could be solved by putting nets over the pools. The experiment asked participants to indicate how much they would be willing to pay for nets to save the birds The researchers tried telling different groups that 2,000 birds were being killed a year — or 20,000 birds, or 200,000 birds. The answers didn’t depend on the number of birds! In all cases, the average dollar amount was $80. Evidently, all that registered was A lot of birds are being killed. We should do something about it.

Excerpt from: Priceless: The Myth of Fair Value (and How to Take Advantage of It) by William Poundstone

πŸ’Ž On the idea of alchemy (in psychology, 2 + 2 can equal more or less than 4)

The advertising agency J. Walter Thompson used to set a test for aspiring copywriters. One of the questions was simple: ‘Here are two identical 25-cent coins. Sell me the one on the right.’ One successful candidate understood the idea of alchemy. ‘I’ll take the right-hand coin and dip it in Marilyn Monroe’s bag. Then I’ll sell you a genuine 25-cent coin as owned by Marilyn Monroe.’

In maths it is a rule that 2 + 2 = 4. In psychology, 2 + 2 can equal more or less than 4. It’s up to you.

Excerpt from: Alchemy: The Surprising Power of Ideas That Don’t Make Sense by Rory Sutherland

πŸ’Ž On the power of constraints to drive creativity (writing Green Eggs and Ham)

In 1960, Dr. Suess made a bet with Bennett Cerf, the cofounder of Random House, that he could write a book relying on only fifty different words. Though challenging, the bet resulted in Green Eggs and Ham, a classic that’s beloved in my house (and maybe yours) and Dr. Seuss’s bestselling book.

Constraints, then, can open our minds and drive creativity rather than hinder it. Poetic masterworks spring from the boundaries of verse and rhyme. Masterpieces of Renaissance art started as commissions in which the painter was bound to adhere to narrow specifications and subject matter, materials, color, and size. In our own work, constraints take many different dorms, from tight budgets to standardization. If you ask a team to design and build a product, you might get a handful of good ideas. But if you ask that same team to design and build the same product within a tight budget, you’ll likely see even more creative results. Research examining how people design new products, cook meals, and even fix broken toys finds that budget constraints increase resourcefulness and lead to better solutions.

Excerpt from: Rebel Talent: Why It Pays to Break the Rules at Work and in Life by Francesca Gino

πŸ’Ž On basing decisions on myths and anecdotes (bloodletting a prime example)

The study of marketing is so young that we would be arrogant to believe that we know it all, or even that we have got the basics right yet. We can draw an analogy with medical practice. For centuries this noble profession has attracted some of the best and brightest people in society, who were typically far better educated than other professionals. Yet for 2,500 years these experts enthusiastically and universally taught and practised bloodletting (a generally useless and often fatal ‘cure’). Only very recently, about 80 years ago, medical professional started doing the very opposite, and today blood transfusions save numerous lives every day. Marketing manager operate a bit like medieval doctors — working on anecdotal experience, impressions and myth-based explanations.

Excerpt from: The Choice Factory: 25 behavioural biases that influence what we buy by Richard Shotton

πŸ’Ž On the danger of priming in surveys (beware inflated responses)

The responses to questions can also be influenced by what has been asked beforehand, a process known as priming. Official surveys of wellbeing estimate that around 10% of young people in the UK consider themselves lonely, but an online questionnaire by the BBC found the far higher proportion of 42% among those choosing to answer. This figure may have been inflated by two factors: the self-reported nature of the voluntary ‘survey’, and the fact that the question about loneliness had been preceded by a long series of enquires as to whether the respondent in general felt a lack of companionship, isolated, left out, and so on, all of which might have primed them to give a positive response to the crucial question of feeling lonely.

Excerpt from: The Art of Statistics: Learning from Data by David Spiegelhalter

πŸ’Ž On the power of unexpected rewards (freelancer productivity)

As another example, an HBS study of the freelancer contracting site oDesk (now renamed Upwork) found that surprise incentives resulted in greater employee effort than higher pay. Harvard Business School researchers posted a data-entry job on oDesk that would take four hours. One of the postings offered $3 per hour fo the job; the other offered $4 per hour. People with past data-entry experience were hired at either the $3 or $4 rate. But some of those who were initially told they’d be paid $3 were later told that the hiring company had a bigger budget than what they expected: “Therefore, we will pay you $4 per hours instead of $3 per hour.” The group initially hired at $4 an hour worked no harder than this hired at $3. But those who received the surprise raise worked substantially harder than the other two groups, and among those with experience, their effort more than made up for the cost of the extra pay.

Excerpt from: Rebel Talent: Why It Pays to Break the Rules at Work and in Life by Francesca Gino

πŸ’Ž On leading from the front (an example of Napoleon’s leadership)

One battery in particular was critical to the bombardment due to its elevated terrain. But it was also the most vulnerable to counterattack, thus making it the most dangerous to operate. Bonaparte’s superiors informed him that no soldier would volunteer to man the battery. Walking through camp in contemplation he spotted a printing machine which gave him an idea. He created a sign to hang near the battery: “The battery of the men without fear.” When the other soldiers saw it the next morning they clamoured to earn the honor of operating that cannon. Bonaparte himself wielded a ramrod alongside his gunners. The cannon was manned day and night. The French won the battle; Bonaparte won the acclaim.

Excerpt from: Rebel Talent: Why It Pays to Break the Rules at Work and in Life by Francesca Gino

πŸ’Ž In our keenness to attribute success or failure to an intervention, we often forget that the change may well be a case of reversion to the mean (league tables)

It is not only sports teams that are ranked in league tables. Take the example of the PISA Global Education Tables, which compare different countries’ school systems in mathematics. A change in league table position between 2003 and 2013 was strongly negatively correlated with initial position, meaning that countries at the top tended to go down, and those at the bottom tended to go up. The correlation was -0.60, and some theory shows that if the rankings were complete chance and all that was operating were regression-to-the-mean, the correlation would be expected to be -0.71, not very different from what was observed. This suggest the differences between countries were far less than claimed, and that change in league position had little do with changes in teaching philosophy.

Excerpt from: The Art of Statistics: Learning from Data by David Spiegelhalter

πŸ’Ž We tend to underestimate how much we’re influenced by others (partly explains the popularity of the iPod)

They asked 40 owners of iPods how influenced they were by the trendiness of the product relative to their peers. The scale went from one (much less than average) to nine (much more than average), with five as average. So the neutral answer was clearly five. However, the average response from participants was 3.3.

Excerpt from: The Little Book of Behavioral Investing: How not to be your own worst enemy by James Montier

πŸ’Ž On experts’ inability to say they don’t know (fear of looking stupid)

In 2010, a group of mathematicians, historians and athletes were tasked with identifying certain names that represented significant figures within each discipline. They had to discern whether Johannes de Groot or Benoit Theron were famous mathematicians, for instance, and they could answer, Yes, No, or Don’t Know. As you might hope, the experts were better at picking out the right people (such as Johannes de Groot, who really was a mathematician) if they fell within their discipline. But they were also more likely to say they recognised the made-up figures (in this case, Benoit Theron). When their self-perception of expertise was under question, they would rather take a guess and ‘over-claim’ the extent of their knowledge than admit their ignorance with a ‘don’t know’.

Excerpt from: The Intelligence Trap: Why Smart People Do Stupid Things and how to Make Wiser Decisions by David Robson

πŸ’Ž On the dangers of intelligence (as identified by Houdini)

Houdini himself seems to have intuitively understood the vulnerability of the intelligent mind. ‘As a rule, I have found that the greater brain a man has, and the better he is educated, the easier it has been to mystify him,’ he once told Conan Doyle.

Excerpt from: The Intelligence Trap: Why Smart People Do Stupid Things and how to Make Wiser Decisions by David Robson