• Don’t get fooled by randomness (or mis- or disinformation)

    The mind tricks us into seeing patterns when there are none. This causes all kinds of problems.

    According to Nassim Taleb, people routinely mistake luck for skill, randomness for determination, and misinformation for fact. These are the factors that cause us to process information incorrectly, and distort our views of the world:

    All-or-nothing view

    We tend to see events as all-or-nothing, rather than shades of probability. If you see a successful business executive, they’ll tell you that the reason for their success is some combination of hard work and talent. But what if you have thousands of successful business executives? Probability tells us that some of them must be successful only through sheer luck. But none of them will admit to that.

    Affirming the consequent

    Our brains slip up in trying to find patterns to explain things. Studies show that most successful business leaders are risk-takers. Does this mean that most risk-takers become successful? Ask those whose risks failed.

    Hindsight bias

    We also ignore probability when it comes to past events. When we look back at things that have happened, it seems like they were inevitable. Just listen to any political pundit explain why a shock election result was obviously going to happen. This means we ignore the effect of random chance, instead preferring to rationalise why something happened.

    Survivorship bias

    If we only see the survivors of an event, our brains assume everyone survived. Or at least, the survival rate is good. Take the view that stock markets just go up in the long run — imagine how rich you’d be today if you’d invested in the stock market in 1900?

    But this view is based on the stock markets and companies that have survived to this day. If you really did invest in stocks in 1900, you probably would’ve bought into the developed markets of Imperial Russia or Argentina rather than the emerging United States, and most of the companies you bought into would have failed.

    Mistaking a one-off for the whole

    Similar to taking an all-or-nothing view, Taleb warns us against conflating details with the ensemble. This is particularly acute when you’re facing nefarious agents that are spreading disinformation (information that’s deliberately spread to deceive) or unwitting redistributors of misinformation (incorrect or misleading information presented as fact). For instance, in saying there are Neo-Nazis in Ukraine — how relevant is it to the whole? what is the proportion? There are unfortunately Neo-Nazis in most large countries, including in Russia.

    Okay the problem is you take something called a ‘detail’, say an anecdote, single random event, and by emphasizing it, making you think that that detail represents the ensemble. It does not, and we are much more vulnerable to details, the salient details. Something psychologists like Danny Kahneman called the representativeness heuristic.

    Nassim Nicholas Taleb, Disinformation and Fooled by Randomness

    In short: an anecdote falls far short of conclusive evidence.

    See also Brandolini’s Law or the bullshit asymmetry principle that states that the effort to refute bullshit is an order of magnitude larger than is needed to produce it.

    Watch out for

    All of these combine to make us ignore the possibility of rare, disastrous events like a huge market crash. It’s hard for us to comprehend something that’s never happened before. So we discard the possibility, in the same way statisticians might discard outlying results to avoid skewing an average. This is a mistake and leads to paralysis when rare events do happen.

    History teaches us that things that never happened before do happen.

    Nassim Nicholas Taleb, Fooled by Randomness

    With thanks to Ivan Edwards who wrote most of this post. Thanks Ivan!

    Resources

    Gladwell, Malcolm (April 2002), Blowing Up, The New Yorker

    Taleb, Nassim Nicholas (2001), Fooled by Randomness: The Hidden Role of Chance in Life and  in the Markets, Penguin

  • Mimetic Desire: a philosophy for asset bubbles and FOMO

    Why do we like the things we do? René Girard may have the answer.

    Everyone knows what an asset-price bubble looks like after it crashes. In fact, everyone looks back and says the crash was inevitable, though no-one thinks to mention that before it happens. But the causes of bubbles are still disputed. How can the perceived value of an asset rise and fall so rapidly — and why does it keep happening?

    The value of an asset fluctuates because the desire for the asset fluctuates. René Girard’s mimetic theory gives us an idea about why this happens. Girard said that, beyond the basic needs for survival, there is no such thing as true, authentic desire. No-one wants a new car or a new haircut because they’re just following their heart. Desires are motivated solely by what other people want — we mimic the people we admire and decide we want the same things as them.

    This gets us into bubble-like situations because the desires become part of a self-perpetuating cycle. It goes something like this:

    1. Mimesis
      I admire some guy getting rich from bitcoin and I want to be like him. He is my model. 
    2. Mimetic desire
      To be like him, I desire the same things he desires. If he buys bitcoin, I buy bitcoin as well.
    3. Mimetic rivalry
      He sees other people copying him, proving he was right to buy bitcoin. He desires bitcoin even more, meaning my desire also intensifies. We’re in competition for something in limited supply, so the price goes up and up. Other people see what’s happening and start admiring the model as well.
    4. Mimetic violence
      The rivalry and the emotion become more important than the original desire. The competition becomes so intense that everyone forgets why they wanted bitcoin in the first place. All they know is they have to have it — at any cost.
    5. Scapegoat mechanism
      In Girard’s view, this rivalry stops short of total escalation because of a collectively agreed-upon scapegoat, an other that can be blamed for the chaos and strife. Usually it’s an external actor, like a central bank threatening new regulations or raising interest rates. This scapegoat helps dissipate and direct the anger when the bubble pops and fortunes are lost.

    The main lesson? Don’t buy something just because everyone else is buying it. If you didn’t want bitcoin at $5,000, why would you want it at $50,000? Remember, there’s no such thing as ‘just following your heart’.

    Watch out for

    Mimetic theory has some similarities with Maslow’s hierarchy of needs. Both recognise the differences between basic and higher needs, and both show us how we always desire that which is just out of reach — and that these desires can never be truly satisfied. But while Maslow presented his idea as an individual pathway to achievement, Girard saw cycles of people copying and fighting each other. Maybe it’s time for a new theory of motivation combining the two.

    With thanks to Ivan Edwards who wrote most of this post. Thanks Ivan!

    Resources

    Bowyer, Jerry (November 2015), René Girard, ‘The Einstein of the Social Sciences’, Forbes
    Girard, René (1972), Violence and the Sacred, 2005 edition translated by Patrick Gregory, Continuum Books
    Legler, Janis (August 2020), Bitcoin is a game of musical chairs – and the music is stopping, City A.M.
    McDonald, Jamie (February 2021), The Anatomy of Financial Bubbles , Yahoo Finance

  • The expectancy vs surprise continuum: music, art, suicide, and the good life

    Between order and disorder. Entropy is tricky to define. Surpise and expected are incorrectly labeled here. Why is that?

    A rule of thumb about how to live a good life and what makes good content.

    There’s a thread that connects sounds in nature, music, suicide and what makes a good film: the expectancy vs surprise continuum. Understanding or at least being aware of this continuum can help us see life through a different lens and helps us make sense of why we enjoy the media we consume and the things we produce and the work we do.

    Suicide

    Let’s start with at the bleakest so we can move into the light. Suicide. Often regarded as the forefather of sociology Emile Durkheim wrote about suicide in his treatise Le Suicide that was published in 1897. Durkheim described four types of suicide using two sociological variables: integration and regulation. He argued that too little or too much of either creates conditions which make suicide more likely.

    Along the regulation axis sits fatalistic suicides caused by excessive structure and control, such as slaves who are unable to influence the rules under which they must live. On the other side of this axis sits anomic suicide, where there are no rules or clear conventions on how to act and behave, which can lead to a breakdown of social equilibrium. For example, suicide because of bankruptcy or loss of a job or loss of close family members.

    The parallels between Durkheim’s work and the expectancy vs surprise continuum are obvious. If too much or too little structure increases the likelihood of suicide, we can surmise that the conditions for the good life lie somewhere in a sweet spot between those two extremes.

    Pink noise

    Halfway between the entirely uncorrelated random notes of white noise and the entirely correlated drunkard’s walk of brown noise sits pink noise (or 1/f noise or flicker noise). Tunes based on pink noise are moderately correlated over short and long runs. Benoit Mandelbrot was the first to recognise that pink noise and 1/f fluctuations are everywhere in nature, from the annual flood levels of the Nile and variations in sunspots to the wobble of the Earth’s axis and currents in the nervous system of animals and ourselves.

    Our perception of the world seems to cluster around pink noise.

    From the cradle to the grave our brain is processing the fluctuating data that come to it from its sensors. If we measure this noise at the peripheries of the nervous system under the skin of the fingers it tends, Mandelbrot says, to be white. The closer one gets to the brain, however, the closer the electrical fluctuations approach 1/f. The nervous system seems to act like a complex filtering device, screening out irrelevant elements and processing only the patterns of change that are useful for intelligent behaviour.

    Martin Gardner, p.24, Mathematical Games (1979)

    The thread between pink noise and music, and the expectancy vs surprise continuum is clear.

    It is commonplace in musical criticism to say that we enjoy good music because it offers a mixture of order and surprise. How could it be otherwise? Surprise would not be surprise if there were not sufficient order for us to anticipate what is likely to come next. If we guessed too accurately, say in listening to a tune that is no more than walking up and down the keyboard in one step intervals, there is no surprise at all. Good music, like a person’s life or the pageant of history, is a wondrous mixture of expectation and unanticipated turns.

    Martin Gardner, p.28, Mathematical Games (1979)

    The same applies to all media we consume, from films and novels to newspaper articles. While the format is similar the content must be sufficiently different to pique and retain our interest. Hollywood can’t be sustained on Marvel sequels and prequels alone. As consumers get bored, new forms will replace them, much like the new schools of art that have emerged over the past 400 years.

    Bore out versus burn out

    What are the conditions that encourage the state of flow, when work comes easily and minutes drift into hours and we become super productive? According to Steven Kotier, a key psychological trigger is to find the balance between the challenge of the task in hand and our skills and ability to perform that task. We need to find tasks that stretch our abilities to force us into the present, but not too much that we snap.

    This bore-out-vs-burn-out dichotomy maps directly on to the expectancy vs surprise continuum.

    Kotier suggests that the task should be around 4% greater than the skills one brings to it as a rough heuristic for finding flow. This varies per person. High achievers may blow way past this threshold without any of the motivational reward of flow and risk burn out. While underachievers need to get comfortable with feeling uncomfortable and stretching themselves.

    Watch out for

    Everyone’s tolerance for structure or surprise varies. And for each of us it waxes and wanes over time.  

    You may boost overall happiness and fulfilment by compensating when one area of your life feels overly restrictive, or, on the other side of the ledger, disorderly. For example, a natural creative might feel stifled working for a large, bureaucratic company, but find solace in creative writing or abstract art or, indeed, writing an irreverent blog.

    Resources

    Gardner, Martin. (April 1978), Mathematical Games, Scientific American, Vol. 238, No. 4, pp. 16-33
    Jones, Robert Alun. (1986) Emile Durkheim: An Introduction to Four Major Works. Beverly Hills, CA: Sage Publications, Inc. pp. 82-114
    Kotier, Steven. (May, 2014), Create a Work Environment That Fosters Flow, Harvard Business Review

  • Mr Garvey and his newspaper clippings at Sprowston High School in the mid-90s

    Newspaper clippings. Lots of them.

    Mr Garvey was a standout character in Sprowston High School in the mid 1990s. 

    He arrived in classrooms late, moving quickly, as if he had learned of his assignment seconds before beaming from Supply Teacher Alphacenturi and materialising on to the melamine floor just outside the door. 

    “Settle down. SETTLE DOWN.”                                                                     

    Slim and upright, he had thick, short salt-and-pepper hair atop a short white beard, with florid complexion and closely set rheumy eyes. 

    When reading he wore small, silver wire glasses. He was immaculately dressed. I picture him in a light-blue cotton suit, with a navy woollen tank top, pale yellow shirt and a blue and yellow striped knitted tie knotted into a large full Windsor. He found his sartorial niche in the early 80s and stayed there. He was like a cast member of Rainbows at a wedding. 

    At all times Mr Garvey was carrying or attending to a Manila folder in which he kept newspaper clippings and whole newspapers yet to be clipped. 

    His teaching style was thermostatic. He took the register and asked us to work from our exercise books while he cut the newspapers. Children do what children do when unattended: they tend to disorder; whispering becomes talking, notes are passed, and banter and hi-jinx are had, until a critical decibel level is reached. 

    “SILENCE!”

    The cycle repeats, the class is quiet at first but slowly gets louder before Mr Garvey erupts once more; each eruption more severe than the last. 

    A pupil looking over to Mr Garvey sat behind the teacher’s desk would tend to see one of three unfolding scenes. Mr Garvey would be

    1. cutting with oversized orange-handled scissored an article from the Eastern Daily Press or Evening News, or
    2. scratching his beard with the backs of his fingernails, chin in the air, eyes squinted, or
    3. lifting his glasses with one hand and dabbing his eyes with a chequered handkerchief with the other, like a pair of water fowl tending to their precious eggs. 

    Of course, all this made him a source of amusement for the pupils. 

    Yet I liked Mr Garvey and his classes. They were easy and I had a chance to get ahead. 

    And we sometimes laughed with him. 

    In one D&T class he made the mistake of leaving the class register on a shared bank of pupils’ desks. One of the bolshier kids noticed that Adrian Tipple’s name was written in pencil, so duly amended the surname to Nipple. 

    The anticipation built as Mr Garvey read down the register.

    “Paul Smith”

    – “yes, sir”

    “Uh, Adrian, Adrian Nipple? Is that right?”

    Uproar. The white-hot hilarity was unsurpassed in my life until that point. 

    I’m not sure what Mr Garvey did with his newspaper clippings. I recall he collected articles about the local history of Norwich and Norfolk; anything he found “interesting.” I hope he did something with those clippings. I hope he wrote a book. 

    I’ve been thinking about Mr Garvey as I’ve thought about the information I’ve accumulated and hoarded. My storage and retrieval methods are haphazard. They include: writing in Apple notes; writing notes in Word: an aborted attempt to write regularly on a WordPress blog; sending emails to myself, bookmarking in X, LinkedIn and the FT app; printing out papers and adding them to a drawer in my study; saving audio snippets in Audible, adding web links to my iPhone Home Screen; and folding over the corner of interesting pages in books I’m reading. 

    Despite this, I find myself regretting not making a note of something I’ve read or seen. An anecdote is at least 10X flimsier if the source can’t be located: “I read somewhere that [some diminished point]”. This is why I would welcome a wearable AI device that could track and store everything you read or listen to. 

    How useful would it be to run a search on all the information you had ever consumed? 

    There would be no need for newspaper clippings and Manila folders. 

  • What Six Colorful Hats Can Teach Us About Working in Groups

    Six colorful hats!

    This is how a group of people can solve a problem without arguments.

    Think about all the times you’ve been in a team meeting, dealing with some issue. Everyone goes in with the best intentions, but the team members quickly form their own ideas of what needs to be done, argue about why everyone else is wrong, then eventually go with whoever won over the most (or shouted the loudest).

    The six thinking hats are a more efficient way of solving problems than arguing. In an argument, each side picks a conclusion, finds evidence to support it, and ignores or discredits any evidence to the contrary. Emotions take hold as each side aims for the glory of being right and the thrill of defeating an adversary. It sounds like a terrible way to solve problems constructively. Yet our entire political and legal systems are based on it.

    The alternative to arguments is ‘parallel thinking’. Instead of each individual taking different sides, all individuals take the same side and look in the same direction, in any one moment.

    That’s where the imaginary hats come in. Each hat is a way of looking at an issue. They come in pairs, but you can only wear one at a time. And in a group discussion, everyone wears the same hat at the same time.

    White Hat and Red Hat

    The white hat is where the team establishes what information is known and what information is needed. This is about facts – not interpretations, judgements or opinions.

    “Market research shows demand for coffee flavour biscuits is growing.”

    The red hat is where intuition, feeling, opinions and emotion come in. They can be based on experience or just a hunch.

    “I feel our current range of biscuits is boring and old-fashioned.”

    Black Hat and Yellow Hat

    The black hat is about caution and critical thinking. Everyone should be looking for danger signs, something that could go wrong.

    “If we introduce a coffee flavour biscuit, our rival might copy us.”

    The yellow hat is about sunny optimism. Finding possibilities for putting a plan into practice, and searching for the benefits.

    “If our rival copies us, that could help grow the whole market so we’ll still benefit.”

    Green Hat and Blue Hat

    The green hat is about being creative. Coming up with new ideas, options and ways of looking at things.

    “How about adding chocolate chips to the biscuits?”

    The blue hat is about control and discipline. It ensures the meeting remains structured rather than free-flowing (which will probably deteriorate into an argument), and as a result the leader of the meeting wears the blue hat at all times. The discussion may start and end with everyone wearing the blue hat, first to define the problem and lastly to make a decision.

    “We’ve agreed the next step is to develop a coffee flavour chocolate chip biscuit.”

    Watch out for

    While some tests and teamwork models assign people to different categories based on their strengths, De Bono says this restricts them rather than getting the best out of them. The advantage of the six hats is everyone tries a bit of everything, and comes up with ideas no-one else would’ve thought of.

    “There is a huge temptation to use the hats to describe and categorize people, such as ‘she is black hat’ or ‘he is a green-hat person’. That temptation must be resisted.”

    Edward de Bono, Six Thinking Hats, p. 6

    Did you know? De Bono coined the phrase “lateral thinking.”

    With thanks to Ivan Edwards who wrote most of this post. Thanks Ivan!

    Resources

    De Bono, Edward (1985), Six Thinking Hats, 2016 edition, Penguin Life

  • Arguments Don’t Add Up. They Average Out.

    The quality of arguments, and how they’re delivered, are more important than the quantity of arguments.

    What’s the best way to win an argument? If you think it’s by coming up with as many reasons why you’re right as you can, you’re wrong.

    This seems counterintuitive at first. Surely the way to make a case stronger is by adding more arguments in favour? But the person you’re trying to convince doesn’t see your arguments adding up — they see them averaging out. If you have a strong argument and then add some more supporting points that aren’t as convincing, you’re weakening your case.

    In an experiment by Christopher Hsee, one group of people was asked how much they would pay for a brand-new 24-piece dinnerware set, while another was asked how much they would pay for a 40-piece set, which had more brand-new items than the smaller set but also included a few broken items. The result was that the smaller set was judged to be worth more than the bigger set. By adding a few inferior items, the seller weakened the overall proposition for buying the product.

    Niro Sivanathan found that people react in the same way when dealing with arguments against doing something. Drugs that are advertised in the US as having side effects of “heart disease and stroke” are judged to be more risky than those advertised as having side effects of “heart disease, stroke, headache and dry mouth”. The major and minor risks are averaged out, so the drug with more side effects is seen as less risky.

    This matters not just for advertisers, but for anyone who is trying to persuade someone. A CV with a few strong arguments for why you should get the job looks better than one with all the arguments. And a three-word slogan is more effective at winning an election than 105 pages of policies. The quality of arguments, and how they’re delivered, are more important than the quantity of arguments.

    Watch out for

    This dilution effect not only shows how to make arguments more convincing, but also affects how people make judgements in a variety of situations. People given a mix of relevant and irrelevant information about an individual come to less extreme conclusions than people given only the relevant information, helping to reduce the effect of stereotypes.

    With thanks to Ivan Edwards who wrote most of this post. Thanks Ivan!

    Resources

    Hsee, Christopher K. (1998), Less is Better: When Low-Value Options are Valued More Highly than High-Value Options, Journal of Behavioral Decision Making, Vol. 11, pages 107-121
    Nisbett, Richard E.; Zukier, Henry & Lemley, Ronald E. (1981), The Dilution Effect: Nondiagnostic Information Weakens the Implications of Diagnostic Information, Cognitive Psychology, Vol. 13, pages 248-277
    Sivanathan, Niro (May 2019), The counterintuitive way to be more persuasive , TED
    Sivanathan, Niro & Kakkar, Hemant (February 2019), How Drug Company Ads Downplay Risks, Scientific American

Got any book recommendations?