One thing we’ll try to do this weekend is catch Becoming Warren Buffett, a documentary from HBO. The New Yorker’s James Surowiecki says the documentary, made with the cooperation of Buffett and his family, “deals with Buffett the businessman and investor, but it’s Buffett the man and his complicated, and often difficult, relationships with the people he loved most that are the film’s real subject. We are still treated to the greatest hits of Buffett’s business career… But what makes ‘Becoming Warren Buffett’ far more interesting than a simple hagiography is the exploration of Buffett’s personal life… Buffett was born to be great at investing. He had to work really hard to be good at living.” You can catch the promo here (runtime 01:02).
In the mood for something less true-to-life? Season six of Suits is back from its mid-season break — we’ve seen promos on OSN, but we’re watching on iTunes. It’s a very solid pickup from the mid-season cliffhanger that saw one of the lead characters leave the series. And if you’re not bothered by trans-anything or same-[redacted] love, Sense8 on Netflix from the Watchowskis (who brought you the Matrix trilogy) is simply stunning. One season is out now, as is a special double-length Christmas episode that sets up season two, which is set to drop in early May.
Also, rugby’s Six Nations championship starts on Saturday, with the first match between Scotland and Ireland kicking off at 4:25pm and England versus France to follow at 6:50pm.
Looking for a book? We started NYT correspondent Steven Lee Myers’ The New Tsar: The rise and reign of Vladimir Putinon the flight back to Cairo this week, and it is so far entirely engaging — and neither hagiography nor hack job.
We’re also delighted that Aly Shalakany’s biweekly Beyond the Rubicon column returns this week with a fascinating look at one cash-based nation’s decision to suddenly make two banknotes worthless overnight. There are plenty of lessons for Egypt there, and a bonus link to a mini-episode of Planet Money that we had missed.
Until then, we’ll keep our football hats on and enjoy this video of the Egyptian national team celebrating in the locker room after the Afcon semifinal win over Burkina Faso.

How are those plans for Daba’a going? The biggest problem with nuclear energy isn’t safety, economist Noah Smith argues in his Bloomberg View column, it’s cost. Despite the perception of it being a “clean” source of energy compared to other fossil fuels. “the economics of nuclear are almost certain to keep it a marginal part of the energy mix.” Smith argues that a new nuclear power plant costs about USD 9 bn to build, Egypt’s Russia-financed proposed Daba’a project is slated to cost a total of USD 25 bn to buildfour 1.2 GW nuclear reactors.
Smith’s USD 9 bn figure is “more than 1,000 times as much as a new fracking well.” He mentions it would also cost “more than 3,000 times as much as the world’s biggest solar plant.” (He’s wrong there, incorrectly identifying that plant as the Ivanpah Solar Plant in the Mojave Desert, when the world’s largest solar plant is actually Morocco’s Ouarzazate Power Plant that has an peak production capacity of 580 MW and comes at a total production cost of USD 9 bn). However, Smith’s point still stands: “Raising [USD 9 bn] is a daunting obstacle. It’s more money than Apple Inc., the U.S.’s most valuable company, borrowed in 2016… It’s hard to raise money for projects with giant fixed costs and long horizons for repayment, because they’re inherently risky. If something goes badly wrong with the project, all of that up-front money is lost. If competition makes a project un-economical in five or 10 years in the future, the financiers will take a big loss. It’s very hard to make predictions of more than a few years, especially about competing technologies.” And more importantly, solar continue to make significant progress. Plus, you know, there’s not going to be a solar Chernobyl.
Rapid advances in competing technologies are the main risk for nuclear energy going forward. “Solar power is already cheap and is plunging in price, while energy storage is also becoming much more affordable. If these trends continue, a nuclear power plant that’s economical today will be out-competed in a few years. In other words, there will be no way the owner could recover the fixed costs. What’s worse, nuclear doesn’t look like it’s getting any cheaper.” Of course, safety remains a concern as well. If terrorists find a way to attack nuclear power plants, the risks would obviously be catastrophic, similar to what might result from hackers attacking a plant’s software and causing it to meltdown. It is unclear how genuine these threats could be a few years from now, but it would all feedback into the cycle of increasing costs as preventing such attacks would require significant investment and will probably result in “large unanticipated costs.”
In Egypt’s case we have the added layer of risk of having the proposed power plant in Daba’a built near a diabolical maze of landmines still left from the Second World War. All of these risks move in parallel with the potential for human error, naturally, and we’re not sure if we’d have Homer Simpson to save us from a nuclear meltdown (runtime 02:31).
Could big data and psychometrics have helped put The Donald in the White House? The ability to algorithmically profile people based on their online behaviour was an important factor in Trump’s bid for the presidency, helping the candidate target potential voters with tailored messages, Hannes Grassegger and Mikael Krogerus write for Vice’s Motherboard.
“Trump’s striking inconsistencies, his much-criticized fickleness, and the resulting array of contradictory messages, suddenly turned out to be his great asset: a different message for every voter.” Psychologist Michal Kosinski devised a method to analyze people through their Facebook activity. “In 2012, Kosinski proved that on the basis of an average of 68 Facebook ‘likes’ by a user, it was possible to predict their skin color (with 95 percent accuracy), their sexual orientation (88 percent accuracy), and their affiliation to the Democratic or Republican party (85 percent).” The method works the other way around too: finding people — like undecided Democrats, for instance.
Big data company Cambridge Analytica, which specializes in “innovative political marketing — microtargeting — by measuring people's personality from their digital footprints” and which the UK “leave” Brexit campaign commissioned, was hired by Donald Trump for his campaign. The company might have used Kosinski's method — its parent company had contacted Kosinski for inquiries. Alexander Nix, Cambridge Analytica’s CEO, revealed the method in a presentation at the 2016 Concordia Summit (runtime: 11:03) and it is revolutionary, almost disturbing. The method involves ad targeting, meaning that ads appearing to you correspond to your personality type, in addition to buying people’s data from sources including land registries and shopping data.
“We have profiled the personality of every adult in the United States of America—220 million people,” Nix tells his audience. “Until now, explains Nix, election campaigns have been organized based on demographic concepts. ‘A really ridiculous idea. The idea that all women should receive the same message because of their gender — or all African Americans because of their race.’ What Nix meant is that while other campaigners so far have relied on demographics, Cambridge Analytica was using psychometrics.” Big Data indicated which messages by Trump worked where; Trump’s win would then be the biggest implementation of Big Data.
China’s Kiss of Debt: The single most important predictor of economic and financial trouble is when a country takes on too much debt over a short span of time, says Ruchir Sharma, head of emerging markets and chief global strategist at Morgan Stanley Investment Management, in a video for Asia Society. There were around 30 instances of a country’s debt increasing by 40% or more over five years since the Second World War, he says, all of which reported deep economic trouble in the consecutive five years. In China, debt grew by 60% over the last five years, probably the fastest rate in recorded history. It takes USD 4 in debt to create USD 1 worth of GDP growth in China. In the first quarter last year, that number was as high as six to one. In America at the peak of the housing bubble in 2008, the comparable figure was USD 3 in debt for every USD 1 in growth.
In December 2016, the US Federal Reserve increased interest rates by 0.25% and outlined three future increases instead of the expected two, which could mean trouble for Beijing.
Higher interest rates in the United States could make it harder for China to manage its exploding debt —as the Asian giant increasingly depends on borrowing to keep growing — while simultaneously trying to block capital from fleeing for more fruitful shores in America, writes Ted Kemp for CNBC. "If the Federal Reserve [keeps increasing] interest rates in the United States, the single biggest casualty of that this time is going to be China, because there's so much money just waiting to leave," said Sharma. China "is headed to debt outstanding as a percent of GDP to north of 250% vs 163% in 2008," said Peter Boockvar, chief market analyst at economic advisory firm The Lindsey Group. The Chinese government said it issued CNY 794.6 bn in new loans in November 2016, well above October's CNY 651 bn. Meanwhile, total social financing in China, a broad measure of credit in the country, rose to CNY 1.74 tn in November, from CNY 896.3 bn in October. "This is out of control, as this is happening at the same time their growth rate is in secular decline," Boockvar said.
“Boredom might spark creativity because a restless mind hungers for stimulation,” writes Clive Thompson for Wired. A study showed that “the state of boredom contained three main sources of value: altered perception of time, awakened curiosity about the environment, and exploration of self,” reads the abstract of a paper by Professor Tim Loas from the University of East London published in the journal Qualitative Research in Psychology.
Want to make use of the finding? Try not scroll through your phone to “kill time.” Don’t kill it. Make use of the potentially creative state you’re in, instead of binging on the junk that is social media. Doing nothing can actually be important: “If we don’t allow ourselves periods of uninterrupted, freely associated thought, then personal growth, insight and creativity are less likely to emerge,” writes Manfred Kets De Vries, Insead Distinguished Professor of Leadership Development & Organisational Change, for Forbes.
Just don’t take it to a crazy level and cut out coffee… Coffee, thinkers in the field suggest, could work against creativity by making you “too focused.” The problem? Creativity is associated with “the ability to link ideas, entities, and concepts in novel ways,” which usually comes at times when our mind is wandering, unfocused, as Maria Konnikova puts it in her The New Yorker article “How Caffeine can Cramp Creativity.”
How to recognize a steaming pile of B.S.: How many times has someone you know thrown around a questionable statement as if it were a verified fact, just because they saw it on El Face? With the advent of platforms that allow regular individuals to disseminate news, information, analysis, and whatever else without being subjected to fact-checking of any kind, there’s a whole lot of bull out there to sift through.
Some people have developed a bull[redacted] detector and approach the web in particular with a healthy sense of skepticism. Others, however, don’t have the same nuanced understanding of the reliability of information: One study from Stanford, for example, found that 80% of teenagers were unable to determine if a story labeled as “sponsored” is reliable, showing that there’s a lack of critical thinking skills when it comes to digesting information. And that’s exactly what two professors at the University of Washington want to teach their students. “Evolutionary biologist Carl Bergstrom and data scientist Jevin West have proposed a seminar on information literacy they say will prepare students to parse the news media, scientific studies, and particularly ubiquitous (and often exaggerated) claims about the power of algorithms and big data, which is reflected in the course’s ribald title: ‘Calling Bull[redacted] in the Age of Big Data,” according to The Outline.
On Bergstrom and West’s aptly named website for the proposed course, they explain: “As a first approximation, bull[redacted] is language, statistical figures, data graphics, and other forms of presentation intended to persuade by impressing and overwhelming a reader or listener, with a blatant disregard for truth and logical coherence. While bullshit may reach its apogee in the political domain.” Given The Donald’s love for “alternative facts,” this course should be a staple for the next four years. (There will be only four, right. Right?)



