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Showing posts with label Black Swan. Show all posts
Showing posts with label Black Swan. Show all posts

Friday 22 April 2016

Bengaluru's silent majority - The underbelly of India’s silicon valley

T. M. VEERARAGHAV in The Hindu



Brewing discontent: “The garment workers have proved that there is a vast, angry India outside swanky offices.” The workers protest on Tumkur road in Bengaluru. — Photo: By Special Arrangement


What happened in Bengaluru this week has a lesson for every Indian city. It’s a warning that growing disparities must be addressed urgently.

They don’t work in cubicles and are not constantly on social media sites protesting against bad roads, traffic, power cuts or water shortage. They don’t grandstand on political ideologies and discuss India as a global power, for their realities are harshly local; it’s about everyday survival.

They are Dalits, Other Backward Classes (OBCs), some even from forward castes and different religions, but united by a common economic plight. And they proved they can come out in their thousands to protest, suddenly, without any concrete effort at mobilisation. When they did, they paralysed a city, one portrayed to the world as India’s silicon valley, its IT powerhouse.

What happened in Bengaluru this week has a lesson for every Indian city. There is a giant underbelly of disparity and discontent that exists and it can erupt, suddenly. It can challenge the myths of economic progress and images that governments have cautiously projected before the world. Images laced in terms like ‘investor confidence’ and ‘ease of doing business’.

A spontaneous peoples’ protest

There is still an air of confusion over how protests by garment factory workers erupted and galvanised, which crippled normal life in Bengaluru for two days and turning ‘extremely violent’ by the city’s standards. It started at one factory, where photocopies of a newspaper report stating that workers cannot withdraw employer’s contribution to their provident fund (PF) till 58 years of age were circulated. A rage erupted, and workers, predominantly women, took to the roads in what was described by the police force as a “flash strike” on Monday.

Word spread like wildfire to other garment factories in the area: there are about 8-10 in the cluster. In under an hour, workers from all the factories poured out, paralysing Hosur Road. Ironically, the road is the arterial highway that leads to Electronics City, which houses campuses of several IT majors and is the showcase for a new India or ‘surging economy’.

No high-tech device could have predicted the event or how it would galvanise the next day. Garment factory workers in several other parts of the city, again where factories exist in clusters, came out to the streets. Corporate offices and police stations were attacked, buses set on fire and roads blocked for hours.

Trade union leaders were clueless — they were planning a protest, but no one anticipated a sudden burst of anger, of this nature. The police were equally clueless, as one officer was reported as saying, “When we wanted to talk to their leader, they were clueless and so were we.” This protest had no one leader or negotiator for demands, it was a sudden burst of pent-up anger, triggered by the new PF ‘reform’.

These factories exist in clusters and hence workers in garment manufacturing units could mobilise themselves instantly. There are an estimated 5,00,000 people working in garment factories in the city. Predominantly women (estimated to be around 85 per cent) and for them, usually with salaries of around Rs. 6,500 a month, the few hundred rupees they save as PF is the only social security.

Symptom of a larger angst


This is where the crux of the issue lies. The PF law was just a trigger and the garment industry is just one small section. As we build and showcase a new economy, there is little forward movement in ensuring social security for the millions in the lower-to-middle income groups.

For instance, quality health care and education remain a pipe dream, and survival in a ‘booming economy’ is a daily battle. Unionisation is restricted in garment units and hence workers have little or no grievance-redressal mechanism or collective bargaining. Against this backdrop, amendments to labour laws proposed for enactment in Karnataka, like in many other States, increase work hours for workers and arguably shifts the balance in favour of factory owners.

Such policies have ensured that even a basic level of trust in the system is eroded. In this situation, when savings like PF, which for decades the working class in India has taken as the ultimate security, can become inaccessible at a time of need, it shakes the workers’ faith completely. It’s not anger but desperation to save the little they have.

To date, Union governments have been extremely cautious in even altering PF interest rates. Did the illusion that India has changed allow the Centre to try changing PF laws?

It is important to address the difference in the way PF is looked at by those surging with a booming corporate economy and workers, like those in garment factories — PF is not the only saving mechanism for the young manager or techie, for many it’s just a mandatory contribution that one has to make.

The garment workers have proved that there is a vast, angry India outside swanky offices. And their protest is a strong message to the government and the ‘booming economy’ not to tamper with the little they have. Elections in States, including Kerala and West Bengal where the Left has a strong presence, may have ensured immediate withdrawal of the controversial PF rule by the Union government, but the real test is to see whether the intent will be to understand the concerns of the labour and lower income classes.

It’s time to focus on building systems and policies that offer them a larger stake in economic and social progress. The PF law was just a trigger to one set of a large population that works in semi-organised industries. And there are millions, like taxi drivers and construction labourers, who do not even have a shot at a provident fund. The trigger for each of these sections could be different, but their frustrations are the same and the impact they could have if they galvanise in protest could be enormous.

What Bengaluru witnessed is just a symptom, labour led by no union that had the potential to bring parts of a city to a standstill and forced the Union government to take note.

Friday 6 March 2015

Chapter 11 comes to India

Pritish Nandy in the Times of India
One of the best things in last week’s Union Budget, which has gone largely unnoticed, is the finance minister’s pledge to bring in a comprehensive Bankruptcy Code. Bankruptcy law reform is now a priority for improving the ease of doing business, said Arun Jaitley, thus telling us for the first time that the government has finally come to accept the fact that shit happens. And it’s time that we, as a nation, realized this and found ways and means to deal with it.
Till now, every failure was chased by a lynch mob hardwired to believe that failure is deliberate and must be punished. Not only countless lives and careers have been destroyed by this attitude but it has also fostered a business climate where people either stay away from taking the kind of crucial risks businessmen ought to take or, worse, it has brought risk taking and failure (which are at the heart of all serious entrepreneurship) into unnecessary disrepute. We, as a people, actually believe that every business that fails is a deliberate deep-rooted conspiracy, a plan to loot others. In this perverse worldview, we ignore the simple fact that most bankruptcies owe their origins to Black Swan events that have become increasingly commonplace. Not the greed and wickedness of businessmen.
History shows that the best businessmen go through many failures. They may not always talk about them but these failures teach them the lessons that eventually make them successful. The very failures we despise are the bedrock on which shining empires are built. Bankruptcy, or Chapter 11 as the Americans love to call it, is hardly a dirty word in today’s business scenario, where everything changes all the time, abruptly and without any notice. In fact, failure is a badge of honour that many successful entrepreneurs openly wear. For who will ever risk investing in a business where the promoter claims he has never known failure?
Hiding failure, in fact, is the worst thing one can do. It causes all round damage. Acknowledging it and then finding ways and means to mitigate it and move on is the way all civilised societies deal with failure. As Nassim Nicholas Taleb, my favourite economist recently said, failure is the only real asset of a nation and knowing how to fail is its biggest talent. Taleb also added that failure may be the best mantra for India’s success. For a nation that has not experienced failure and learnt from it is hugely handicapped in today’s world where everything changes at short notice, including the nature of risks. A nation that turns away from risk is not a nation yet ready for success.
He cites the examples of France and Japan. Their economies are doing poorly, Taleb argues, because the failure rate is so low. In the US, on the other hand, the highest fail rate is in California which also has the most inspiring success stories. Walt Disney is an example. He was fired by his editor because he “lacked imagination and had no good ideas”. He went bankrupt several times before he built Disneyland. In fact, even the proposal for Disneyland was rejected by the city of Anaheim on the ground that it would attract only riffraff. Henry Ford went bankrupt before he could steer Ford Motors to its huge success. So did HJ Heinz, founder of Heinz. And William Durant who created General Motors. And Milton Hershey, founder of Hershey Chocolates. The day Trump Towers was being announced with huge fanfare in Mumbai I read that Trump Taj Mahal in Atlantic City had gone belly up.
Business is not about not taking risks. It’s about riding the right risks to build institutions and create wealth. Sports, media, entertainment have had its share of bankrupts. From Larry King to Francis Ford Coppola to rapper MC Hammer to Stan Lee, founder of Marvel Comics, to blogger Perez Hilton to Mick Fleetwood, and Bob Guccione, founder of Penthouse, all have faced bankruptcy. Even famous US Presidents have. Abraham Lincoln, Ulysses S Grant, William McKinley, Thomas Jefferson. In recent years, Steve Jobs went almost bankrupt. So did Apple. Today it’s the world’s richest, strongest brand, seemingly indestructible.
Restaurants improve every time they fail. So do cars, trains, planes. They become safer because we always over-compensate after a disaster. Every shock strengthens us, readies us better for the future. Businesses too are like that and I am glad the Finance Minister has realised it and removed the stigma.
Have I ever gone bankrupt? No, but I have teetered on the edge often enough and never been embarrassed to admit it.
Funnily, as Taleb points out, the only business that never learns from failure is banks. When a bank crashes today, the probability of a bank crashing tomorrow actually increases. Banking is clearly not a business that learns from its mistakes. History proves that too.

Sunday 4 August 2013

On Walking - Advice for a Fifteen Year Old

  
By Girish Menon


Only the other day at the Bedford cricket festival, Om, our fifteen year old cricket playing son, asked me for advice on what he should do if he nicked the ball and the umpire failed to detect it. Apparently, another player whose father had told him to walk had failed to do so and was afraid of the consequences if his father became aware of this code violation. At the time I told Om that it was his decision and I did not have any clear position in this matter. Hence this piece aims to provide Om with the various nuances involved in this matter. Unfortunately it may not act as a commandment, 'Thou shall always walk', but it may enable him to appreciate the diverse viewpoints on this matter.

In some quarters, particularly English, the act of playing cricket, like doing ethical business, has connotations with a moral code of behaviour. Every time a batsman, the most recent being Broad, fails to walk the moralists create a crescendo of condemnation and ridicule. In my opinion this morality is as fake as Niall Ferguson's claims on 'benevolent and enlightened imperialism'. Historically, the game of cricket has been played by scoundrels and saints alike and cheating at cricket has been rife since the time of the first batting superstar W G Grace.
Another theory suggests that the moral code for cricket was invented after World War II by English amateurs to differentiate them from the professionals who played the game for a living. This period also featured different dressing rooms for amateurs and professionals, there may also have been a third dressing room for coloured players. One could therefore surmise that 'walking' was a code of behaviour for white upper class amateurs who played the game for pleasure and did not have to bother about their livelihood.

This then raises the question should a professional cricketer walk?

Honore de Balzac once wrote, 'Behind every great fortune there is a crime'. Though I am not familiar of the context in which Balzac penned these words, I assume that he may have referred to the great wealth accumulated by the businessmen of his times. As a student and a teacher of economics I am of the conviction that at some stage in their evolution even the most ethical of businesses and governments may have done things that was not considered 'cricket'. The British during the empire building period was not ethical nor have been the Ambanis or Richard Branson.

So if I am the professional batsman, with no other tradable skill in a market economy with no welfare protection, travelling in a last chance saloon provided by a whimsical selection committee what would I do? I would definitely not walk, I'd think it was a divine intervention and try to play a career saving knock.

As you will see I am a sceptic whenever any government or business claims that it is always ethical just as much as the claims of walking by a Gilchrist or a Cowdrey.

I am more sympathetic to the Australian position that it is the umpire's job to decide if a batsman is out. Since dissent against umpiring decisions is not tolerated and there is no DRS at the lower echelons of cricket it does not make sense to walk at all. As for the old chestnut, 'It evens out in the end',  trotted out by wizened greats of the game I'd like to counter with an ancient Roman story about drowned worshippers narrated by NN Taleb in his book The Black Swan.

One Diagoras, a non believer in the gods, was shown painted tablets bearing the portraits of some worshippers who prayed, then survived a subsequent ship wreck. The implication was that praying protects you from drowning. Diagoras asked, 'Where were the pictures of those who prayed, then drowned?"

In a similar vein I wish to ask, 'Where are the batters who walked and found themselves out of the team?' The problem with the quote, 'It evens out in the end' is that it is used only by batters who survived. The views of those batters with good skills but who were not blessed with good fortune is ignored by this 'half-truth'.

So, Om, to help you make up your mind I think Kipling's IF says it best:

If you can trust yourself when all men doubt you

If you can meet with Triumph and Disaster
And treat those two impostors just the same

If you can make one heap of all your winnings
And risk it on one turn of pitch and toss
And lose, and start again at your beginnings

Then, you may WALK, my son! WALK!


There is another advantage, if you can create in the public eye an 'image' of an honest and upright cricketer. Unlike ordinary mortals, you will find it easier, in your post cricket life, to garner support as a politician or as an entrepreneur. The gullible public, who make decisions based on media created images, will cling to your past image as an honest cricketer and will back you with their votes and money. Then what you do with it is really up to you. Just watch Imran Khan and his crusade for religion and morality!

The writer plays for CamKerala CC in the Cambs league.

Sunday 12 February 2012

The mathematical equation that caused the banks to crash

 Ian Stewart in The Observer 21-02-12

It was the holy grail of investors. The Black-Scholes equation, brainchild of economists Fischer Black and Myron Scholes, provided a rational way to price a financial contract when it still had time to run. It was like buying or selling a bet on a horse, halfway through the race. It opened up a new world of ever more complex investments, blossoming into a gigantic global industry. But when the sub-prime mortgage market turned sour, the darling of the financial markets became the Black Hole equation, sucking money out of the universe in an unending stream.

Anyone who has followed the crisis will understand that the real economy of businesses and commodities is being upstaged by complicated financial instruments known as derivatives. These are not money or goods. They are investments in investments, bets about bets. Derivatives created a booming global economy, but they also led to turbulent markets, the credit crunch, the near collapse of the banking system and the economic slump. And it was the Black-Scholes equation that opened up the world of derivatives.

The equation itself wasn't the real problem. It was useful, it was precise, and its limitations were clearly stated. It provided an industry-standard method to assess the likely value of a financial derivative. So derivatives could be traded before they matured. The formula was fine if you used it sensibly and abandoned it when market conditions weren't appropriate. The trouble was its potential for abuse. It allowed derivatives to become commodities that could be traded in their own right. The financial sector called it the Midas Formula and saw it as a recipe for making everything turn to gold. But the markets forgot how the story of King Midas ended.

Black-Scholes underpinned massive economic growth. By 2007, the international financial system was trading derivatives valued at one quadrillion dollars per year. This is 10 times the total worth, adjusted for inflation, of all products made by the world's manufacturing industries over the last century. The downside was the invention of ever-more complex financial instruments whose value and risk were increasingly opaque. So companies hired mathematically talented analysts to develop similar formulas, telling them how much those new instruments were worth and how risky they were. Then, disastrously, they forgot to ask how reliable the answers would be if market conditions changed.

Black and Scholes invented their equation in 1973; Robert Merton supplied extra justification soon after. It applies to the simplest and oldest derivatives: options. There are two main kinds. A put option gives its buyer the right to sell a commodity at a specified time for an agreed price. A call option is similar, but it confers the right to buy instead of sell. The equation provides a systematic way to calculate the value of an option before it matures. Then the option can be sold at any time. The equation was so effective that it won Merton and Scholes the 1997 Nobel prize in economics. (Black had died by then, so he was ineligible.)

If everyone knows the correct value of a derivative and they all agree, how can anyone make money? The formula requires the user to estimate several numerical quantities. But the main way to make money on derivatives is to win your bet – to buy a derivative that can later be sold at a higher price, or matures with a higher value than predicted. The winners get their profit from the losers. In any given year, between 75% and 90% of all options traders lose money. The world's banks lost hundreds of billions when the sub-prime mortgage bubble burst. In the ensuing panic, taxpayers were forced to pick up the bill, but that was politics, not mathematical economics.

The Black-Scholes equation relates the recommended price of the option to four other quantities. Three can be measured directly: time, the price of the asset upon which the option is secured and the risk-free interest rate. This is the theoretical interest that could be earned by an investment with zero risk, such as government bonds. The fourth quantity is the volatility of the asset. This is a measure of how erratically its market value changes. The equation assumes that the asset's volatility remains the same for the lifetime of the option, which need not be correct. Volatility can be estimated by statistical analysis of price movements but it can't be measured in a precise, foolproof way, and estimates may not match reality.

The idea behind many financial models goes back to Louis Bachelier in 1900, who suggested that fluctuations of the stock market can be modelled by a random process known as Brownian motion. At each instant, the price of a stock either increases or decreases, and the model assumes fixed probabilities for these events. They may be equally likely, or one may be more probable than the other. It's like someone standing on a street and repeatedly tossing a coin to decide whether to move a small step forwards or backwards, so they zigzag back and forth erratically. Their position corresponds to the price of the stock, moving up or down at random. The most important statistical features of Brownian motion are its mean and its standard deviation. The mean is the short-term average price, which typically drifts in a specific direction, up or down depending on where the market thinks the stock is going. The standard deviation can be thought of as the average amount by which the price differs from the mean, calculated using a standard statistical formula. For stock prices this is called volatility, and it measures how erratically the price fluctuates. On a graph of price against time, volatility corresponds to how jagged the zigzag movements look.

Black-Scholes implements Bachelier's vision. It does not give the value of the option (the price at which it should be sold or bought) directly. It is what mathematicians call a partial differential equation, expressing the rate of change of the price in terms of the rates at which various other quantities are changing. Fortunately, the equation can be solved to provide a specific formula for the value of a put option, with a similar formula for call options.

The early success of Black-Scholes encouraged the financial sector to develop a host of related equations aimed at different financial instruments. Conventional banks could use these equations to justify loans and trades and assess the likely profits, always keeping an eye open for potential trouble. But less conventional businesses weren't so cautious. Soon, the banks followed them into increasingly speculative ventures.

Any mathematical model of reality relies on simplifications and assumptions. The Black-Scholes equation was based on arbitrage pricing theory, in which both drift and volatility are constant. This assumption is common in financial theory, but it is often false for real markets. The equation also assumes that there are no transaction costs, no limits on short-selling and that money can always be lent and borrowed at a known, fixed, risk-free interest rate. Again, reality is often very different.
When these assumptions are valid, risk is usually low, because large stock market fluctuations should be extremely rare. But on 19 October 1987, Black Monday, the world's stock markets lost more than 20% of their value within a few hours. An event this extreme is virtually impossible under the model's assumptions. In his bestseller The Black Swan, Nassim Nicholas Taleb, an expert in mathematical finance, calls extreme events of this kind black swans. In ancient times, all known swans were white and "black swan" was widely used in the same way we now refer to a flying pig. But in 1697, the Dutch explorer Willem de Vlamingh found masses of black swans on what became known as the Swan River in Australia. So the phrase now refers to an assumption that appears to be grounded in fact, but might at any moment turn out to be wildly mistaken.

Large fluctuations in the stock market are far more common than Brownian motion predicts. The reason is unrealistic assumptions – ignoring potential black swans. But usually the model performed very well, so as time passed and confidence grew, many bankers and traders forgot the model had limitations. They used the equation as a kind of talisman, a bit of mathematical magic to protect them against criticism if anything went wrong.

Banks, hedge funds, and other speculators were soon trading complicated derivatives such as credit default swaps – likened to insuring your neighbour's house against fire – in eye-watering quantities. They were priced and considered to be assets in their own right. That meant they could be used as security for other purchases. As everything got more complicated, the models used to assess value and risk deviated ever further from reality. Somewhere underneath it all was real property, and the markets assumed that property values would keep rising for ever, making these investments risk-free.
The Black-Scholes equation has its roots in mathematical physics, where quantities are infinitely divisible, time flows continuously and variables change smoothly. Such models may not be appropriate to the world of finance. Traditional mathematical economics doesn't always match reality, either, and when it fails, it fails badly. Physicists, mathematicians and economists are therefore looking for better models.

At the forefront of these efforts is complexity science, a new branch of mathematics that models the market as a collection of individuals interacting according to specified rules. These models reveal the damaging effects of the herd instinct: market traders copy other market traders. Virtually every financial crisis in the last century has been pushed over the edge by the herd instinct. It makes everything go belly-up at the same time. If engineers took that attitude, and one bridge in the world fell down, so would all the others.

By studying ecological systems, it can be shown that instability is common in economic models, mainly because of the poor design of the financial system. The facility to transfer billions at the click of a mouse may allow ever-quicker profits, but it also makes shocks propagate faster.

Was an equation to blame for the financial crash, then? Yes and no. Black-Scholes may have contributed to the crash, but only because it was abused. In any case, the equation was just one ingredient in a rich stew of financial irresponsibility, political ineptitude, perverse incentives and lax regulation.

Despite its supposed expertise, the financial sector performs no better than random guesswork. The stock market has spent 20 years going nowhere. The system is too complex to be run on error-strewn hunches and gut feelings, but current mathematical models don't represent reality adequately. The entire system is poorly understood and dangerously unstable. The world economy desperately needs a radical overhaul and that requires more mathematics, not less. It may be rocket science, but magic it's not.
Ian Stewart is emeritus professor of mathematics at the University of Warwick.

Monday 2 June 2008

Nassim Nicholas Taleb: the prophet of boom and doom

 


A noisy cafe in Newport Beach, California. Nassim Nicholas Taleb is eating three successive salads, carefully picking out anything with a high carbohydrate content.

He is telling me how to live. "The only way you can say 'F*** you' to fate is by saying it's not going to affect how I live. So if somebody puts you to death, make sure you shave."

After lunch he takes me to Circuit City to buy two Olympus voice recorders, one for me and one for him. The one for him is to record his lectures – he charges about $60,000 for speaking engagements, so the $100 recorder is probably worth it. The one for me is because the day before he had drowned my Olympus with earl grey tea and, as he keeps saying, "I owe you." It didn't matter because I always use two recorders and, anyway, I had bought a replacement the next morning.

But it's important and it's not, strictly speaking, a cost to him. Every year he puts a few thousand dollars aside for contingencies – parking tickets, tea spills – and at the end of the year he gives what's left to charity. The money is gone from day one, so unexpected losses cause no pain. Now I have three Olympus recorders.

He spilt the tea – bear with me; this is important – while grabbing at his BlackBerry. He was agitated, reading every incoming e-mail, because the Indian consulate in New York had held on to his passport and he needed it to fly to Bermuda. People were being mobilised in New York and, for some reason, France, to get the passport.

The important thing is this: the lost passport and the spilt tea were black swans, bad birds that are always lurking, just out of sight, to catch you unawares and wreck your plans. Sometimes, however, they are good birds. The recorders cost $20 less than the marked price owing to a labelling screw-up at Circuit City. Stuff happens. The world is random, intrinsically unknowable. "You will never," he says, "be able to control randomness."

To explain: black swans were discovered in Australia. Before that, any reasonable person could assume the all-swans-are-white theory was unassailable. But the sight of just one black swan detonated that theory. Every theory we have about the human world and about the future is vulnerable to the black swan, the unexpected event. We sail in fragile vessels across a raging sea of uncertainty.

"The world we live in is vastly different from the world we think we live in."

Last May, Taleb published The Black Swan: The Impact of the Highly Improbable. It said, among many other things, that most economists, and almost all bankers, are subhuman and very, very dangerous. They live in a fantasy world in which the future can be controlled by sophisticated mathematical models and elaborate risk-management systems. Bankers and economists scorned and raged at Taleb. He didn't understand, they said. A few months later, the full global implications of the sub-prime-driven credit crunch became clear. The world banking system still teeters on the edge of meltdown. Taleb had been vindicated. "It was my greatest vindication. But to me that wasn't a black swan; it was a white swan. I knew it would happen and I said so. It was a black swan to Ben Bernanke [the chairman of the Federal Reserve]. I wouldn't use him to drive my car. These guys are dangerous. They're not qualified in their own field."

In December he lectured bankers at Société Générale, France's second biggest bank. He told them they were sitting on a mountain of risks – a menagerie of black swans. They didn't believe him. Six weeks later the rogue trader and black swan Jérôme Kerviel landed them with $7.2 billion of losses.
As a result, Taleb is now the hottest thinker in the world. He has a $4m advance on his next book. He gives about 30 presentations a year to bankers, economists, traders, even to Nasa, the US Fire Administration and the Department of Homeland Security. But he doesn't tell them what to do – he doesn't know. He just tells them how the world is. "I'm not a guru. I'm just describing a problem and saying, 'You deal with it.'"

Getting to know Taleb is a highly immersive experience. Everything matters. "Why are you not dressed Californian?" he asks at our first meeting. Everything in Newport Beach is very Californian. I'm wearing a jacket: it's cold. He's wearing shorts and a polo shirt. Clothes matter; they send signals. He warns against trusting anybody who wears a tie – "You have to ask, 'Why is he wearing a tie?'"
He has rules. In California he hires bikes, not cars. He doesn't usually carry his BlackBerry because he hates distraction and he really hates phone charges. But he does carry an Apple laptop everywhere and constantly uses it to illustrate complex points and seek out references. He says he answers every e-mail. He is sent thousands. He reads for 60 hours a week, but almost never a newspaper, and he never watches television.

"If something is going on, I hear about it. I like to talk to people, I socialise. Television is a waste of time. Human contact is what matters."

But the biggest rule of all is his eccentric and punishing diet and exercise programme. He's been on it for three months and he's lost 20lb. He's following the thinking of Arthur De Vany, an economist – of the acceptable type – turned fitness guru. The theory is that we eat and exercise according to our evolved natures. Early man did not eat carbs, so they're out. He did not exercise regularly and he did not suffer long-term stress by having an annoying boss. Exercise must be irregular and ferocious – Taleb often does four hours in the gym or 360 press-ups and then nothing for 10 days. Jogging is useless; sprinting is good. He likes to knacker himself completely before a long flight. Stress should also be irregular and ferocious – early men did not have bad bosses, but they did occasionally run into lions.

He's always hungry. At both lunches he orders three salads, which he makes me share. Our conversation swings from high philosophy and low economics back to dietary matters like mangoes – bad – and apples – good as long as they are of an old variety. New ones are bred for sugar content. His regime works. He looks great – springy and fit. He shows me an old identity card. He is fat and middle-aged in the photo. He looks 10 years younger than that. "Look at me! That photo was taken seven years ago. No carbs!"

This is risk management – facing up to those aspects of randomness about which something can be done. Some years ago he narrowly survived throat cancer. The change in his voice was at first misdiagnosed as damaged vocal cords from his time on the trading floor. It can recur. Also he has a high familial risk of diabetes. He is convinced the diet of civilisation – full of carbs and sugar – is the problem. The grand doctors who once announced that complex carbohydrates are good for you are, to him, criminals responsible for thousands of deaths.

So, you are wondering, who is this guy? He was born in 1960 in Lebanon, though he casts doubt on both these "facts". The year is "close enough" – he doesn't like to give out his birth date because of identity theft and he doesn't believe in national character. He has, however, a regional identity; he calls himself a Levantine, a member of the indecipherably complex eastern Mediterranean civilisation. "My body and soul are Mediterranean."

Both maternal and paternal antecedents are grand, privileged and politically prominent. They are also Christian – Greek Orthodox. Startlingly, this great sceptic, this non-guru who believes in nothing, is still a practising Christian. He regards with some contempt the militant atheism movement led by Richard Dawkins.

"Scientists don't know what they are talking about when they talk about religion. Religion has nothing to do with belief, and I don't believe it has any negative impact on people's lives outside of intolerance. Why do I go to church? It's like asking, why did you marry that woman? You make up reasons, but it's probably just smell. I love the smell of candles. It's an aesthetic thing."

Take away religion, he says, and people start believing in nationalism, which has killed far more people. Religion is also a good way of handling uncertainty. It lowers blood pressure. He's convinced that religious people take fewer financial risks.

He was educated at a French school. Three traditions formed him: Greek Orthodox, French Catholic and Arab. They also taught him to disbelieve conventional wisdom. Each tradition had a different history of the crusades, utterly different. This led him to disbelieve historians almost as much as he does bankers.

But, crucially, he also learnt from a very early age that grown-ups have a dodgy grasp of probability. It was in the midst of the Lebanese civil war and, hiding from the guns and bombs, he heard adults repeatedly say the war would soon be over. It lasted 15 years. He became obsessed with probability and, after a degree in management from the Wharton business school at Pennsylvania University, he focused on probability for his PhD at the University of Paris.

For the non-mathematician, probability is an indecipherably complex field. But Taleb makes it easy by proving all the mathematics wrong. Let me introduce you to Brooklyn-born Fat Tony and academically inclined Dr John, two of Taleb's creations. You toss a coin 40 times and it comes up heads every time. What is the chance of it coming up heads the 41st time? Dr John gives the answer drummed into the heads of every statistic student: 50/50. Fat Tony shakes his head and says the chances are no more than 1%. "You are either full of crap," he says, "or a pure sucker to buy that 50% business. The coin gotta be loaded."

The chances of a coin coming up heads 41 times are so small as to be effectively impossible in this universe. It is far, far more likely that somebody is cheating. Fat Tony wins. Dr John is the sucker. And the one thing that drives Taleb more than anything else is the determination not to be a sucker. Dr John is the economist or banker who thinks he can manage risk through mathematics. Fat Tony relies only on what happens in the real world.

In 1985, Taleb discovered how he could play Fat Tony in the markets. France, Germany, Japan, Britain and America signed an agreement to push down the value of the dollar. Taleb was working as an options trader at a French bank. He held options that had cost him almost nothing and that bet on the dollar's decline. Suddenly they were worth a fortune. He became obsessed with buying "out of the money" options. He had realised that when markets rise they tend to rise by small amounts, but when they fall – usually hit by a black swan – they fall a long way.

The big payoff came on October 19, 1987 – Black Monday. It was the biggest market drop in modern history. "That had vastly more influence on my thought than any other event in history."

It was a huge black swan – nobody had expected it, not even Taleb. But the point was, he was ready. He was sitting on a pile of out-of-the-money eurodollar options. So, while others were considering suicide, Taleb was sitting on profits of $35m to $40m. He had what he calls his "f***-off money", money that would allow him to walk away from any job and support him in his long-term desire to be a writer and philosopher.

He stayed on Wall Street until he got bored and moved to Chicago to become a trader in the pit, the open-outcry market run by the world's most sceptical people, all Fat Tonys. This he understood.
His first book, Dynamic Hedging: Managing Vanilla and Exotic Options, came out in 1997. He was moving away from being a pure trader, or "quant" – a quantitative analyst who applies sophisticated maths to investments – to being the philosopher he wanted to be. He was using the vast data pool provided by the markets and combining it with a sophisticated grasp of epistemology, the study of how and what we know, to form a synthesis unique in the modern world.

In the midst of this came his purest vindication prior to sub-prime. Long-Term Capital Management was a hedge fund set up in 1994 by, among others, Myron Scholes and Robert C Merton, joint winners of the 1997 Nobel prize in economics. It had the grandest of all possible credentials and used the most sophisticated academic theories of portfolio management. It went bust in 1998 and, because it had positions worth $1.25 trillion outstanding, it almost took the financial system down with it. Modern portfolio theory had not accounted for the black swan, the Russian financial crisis of that year. Taleb regards the Nobel prize in economics as a disgrace, a laughable endorsement of the worst kind of Dr John economics. Fat Tony should get the Nobel, but he's too smart. "People say to me, 'If economists are so incompetent, why do people listen to them?' I say, 'They don't listen, they're just teaching birds how to fly.' "

Taleb created his own hedge fund, Empirica, designed to help other hedge funds hedge their risks by using a refined form of his options wins – running small losses in quiet times and winning big in turbulent markets. It did okay but, after a good first year, performed poorly when the market went though a quiet spell. He's still involved in the markets, but mainly as a hobby – "like chess".

Finally, with two books – Fooled by Randomness: The Hidden Role of Chance in the Markets and in Life, and The Black Swan – and a stream of academic papers, he turned himself into one of the giants of modern thought. They're still trying to tear him down, of course; last year The American Statistician journal devoted a whole issue to attacking The Black Swan. But I wouldn't bother. A bad but rather ignorant review in The New York Times resulted in such a savage rebuttal from Taleb on his website, www.fooledbyrandomness.com, that reviewers across the US pulled out in fear of his wrath. He knows his stuff and he keeps being right.

And what he knows does not sound good. The sub-prime crisis is not over and could get worse. Even if the US economy survives this one, it will remain a mountain of risk and delusion. "America is the greatest financial risk you can think of."

Its primary problem is that both banks and government are staffed by academic economists running their deluded models. Britain and Europe have better prospects because our economists tend to be more pragmatic, adapting to conditions rather than following models. But still we are dependent on American folly.

The central point is that we have created a world we don't understand. There's a place he calls Mediocristan. This was where early humans lived. Most events happened within a narrow range of probabilities – within the bell-curve distribution still taught to statistics students. But we don't live there any more. We live in Extremistan, where black swans proliferate, winners tend to take all and the rest get nothing – there's Bill Gates, Steve Jobs and a lot of software writers living in a garage, there's Domingo and a thousand opera singers working in Starbucks. Our systems are complex but over-efficient. They have no redundancy, so a black swan strikes everybody at once. The banking system is the worst of all.

"Complex systems don't allow for slack and everybody protects that system. The banking system doesn't have that slack. In a normal ecology, banks go bankrupt every day. But in a complex system there is a tendency to cluster around powerful units. Every bank becomes the same bank so they can all go bust together."

He points out, chillingly, that banks make money from two sources. They take interest on our current accounts and charge us for services. This is easy, safe money. But they also take risks, big risks, with the whole panoply of loans, mortgages, derivatives and any other weird scam they can dream up. "Banks have never made a penny out of this, not a penny. They do well for a while and then lose it all in a big crash."

On top of that, Taleb has shown that increased economic concentration has raised our vulnerability to natural disasters. The Kobe earthquake of 1995 cost a lot more than the Tokyo earthquake of 1923. And there are countless other ways in which we have built a world ruled by black swans – some good but mostly bad. So what do we do as individuals and the world? In the case of the world, Taleb doesn't know. He doesn't make predictions, he insults people paid to do so by telling them to get another job. All forecasts about the oil price, for example, are always wrong, though people keep doing it. But he knows how the world will end.

"Governments and policy makers don't understand the world in which we live, so if somebody is going to destroy the world, it is the Bank of England saving Northern Rock. The biggest danger to human society comes from civil servants in an environment like this. In their attempt to control the ecology, they don't understand that the link between action and consequences can be more vicious. Civil servants say they need to make forecasts, but it's totally irresponsible to make people rely on you without telling them you're incompetent."

Bear Stearns – the US Northern Rock – was another vindication for Taleb. He's always said that whatever deal you do, you always end up dealing with J P Morgan. It was JPM that picked up Bear at a bargain-basement price. Banks should be more like New York restaurants. They come and go but the restaurant business as a whole survives and thrives and the food gets better. Banks fail but bankers still get millions in bonuses for applying their useless models. Restaurants tinker, they work by trial and error and watch real results in the real world. Taleb believes in tinkering – it was to be the title of his next book. Trial and error will save us from ourselves because they capture benign black swans. Look at the three big inventions of our time: lasers, computers and the internet. They were all produced by tinkering and none of them ended up doing what their inventors intended them to do. All were black swans. The big hope for the world is that, as we tinker, we have a capacity for choosing the best outcomes.

"We have the ability to identify our mistakes eventually better than average; that's what saves us." We choose the iPod over the Walkman. Medicine improved exponentially when the tinkering barber surgeons took over from the high theorists. They just went with what worked, irrespective of why it worked. Our sense of the good tinker is not infallible, but it might be just enough to turn away from the apocalypse that now threatens Extremistan.

He also wants to see diplomats dying of cirrhosis of the liver. It means they're talking and drinking and not going to war. Parties are among the great good things in Taleb's world.

And you and me? Well, the good investment strategy is to put 90% of your money in the safest possible government securities and the remaining 10% in a large number of high-risk ventures. This insulates you from bad black swans and exposes you to the possibility of good ones. Your smallest investment could go "convex" – explode – and make you rich. High-tech companies are the best. The downside risk is low if you get in at the start and the upside very high. Banks are the worst – all the risk is downside. Don't be tempted to play the stock market – "If people knew the risks they'd never invest."

There's much more to Taleb's view of the world than that. He is reluctant to talk about matters of human nature, ethics or any of the traditional concerns of philosophy because he says he hasn't read enough. But, when pressed, he comes alive.

"You have to worry about things you can do something about. I worry about people not being there and I want to make them aware." We should be mistrustful of knowledge. It is bad for us. Give a bookie 10 pieces of information about a race and he'll pick his horses. Give him 50 and his picks will be no better, but he will, fatally, be more confident.

We should be ecologically conservative – global warming may or may not be happening but why pollute the planet? – and probablistically conservative. The latter, however, has its limits. Nobody, not even Taleb, can live the sceptical life all the time – "It's an art, it's hard work." So he doesn't worry about crossing the road and doesn't lock his front door – "I can't start getting paranoid about that stuff." His wife locks it, however.

He believes in aristocratic – though not, he insists, elitist – values: elegance of manner and mind, grace under pressure, which is why you must shave before being executed. He believes in the Mediterranean way of talking and listening. One piece of advice he gives everybody is: go to lots of parties and listen, you might learn something by exposing yourself to black swans.

I ask him what he thinks are the primary human virtues, and eventually he comes up with magnanimity – punish your enemies but don't bear grudges; compassion – fairness always trumps efficiency; courage – very few people have this; and tenacity – tinker until it works for you.

"Let's be human the way we are human. Homo sum – I am a man. Don't accept any Olympian view of man and you will do better in society."

Above all, accept randomness. Accept that the world is opaque, majestically unknown and unknowable. From its depths emerge the black swans that can destroy us or make us free. Right now they're killing us, so remember to shave. But we can tinker our way out of it. It's what we do best. Listen to Taleb, an ancient figure, one of the great Mediterranean minds, when he says: "You find peace by coming to terms with what you don't know." Oh, and watch those carbs

Taleb's top life tips

1 Scepticism is effortful and costly. It is better to be sceptical about matters of large consequences, and be imperfect, foolish and human in the small and the aesthetic.

2 Go to parties. You can't even start to know what you may find on the envelope of serendipity. If you suffer from agoraphobia, send colleagues.

3 It's not a good idea to take a forecast from someone wearing a tie. If possible, tease people who take themselves and their knowledge too seriously.

4 Wear your best for your execution and stand dignified. Your last recourse against randomness is how you act — if you can't control outcomes, you can control the elegance of your behaviour. You will always have the last word.

5 Don't disturb complicated systems that have been around for a very long time. We don't understand their logic. Don't pollute the planet. Leave it the way we found it, regardless of scientific 'evidence'.

6 Learn to fail with pride — and do so fast and cleanly. Maximise trial and error — by mastering the error part.

7 Avoid losers. If you hear someone use the words 'impossible', 'never', 'too difficult' too often, drop him or her from your social network. Never take 'no' for an answer (conversely, take most 'yeses' as 'most probably').

8 Don't read newspapers for the news (just for the gossip and, of course, profiles of authors). The best filter to know if the news matters is if you hear it in cafes, restaurants... or (again) parties.

9 Hard work will get you a professorship or a BMW. You need both work and luck for a Booker, a Nobel or a private jet.

10 Answer e-mails from junior people before more senior ones. Junior people have further to go and tend to remember who slighted them.







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