high batting average

9 results back to index


pages: 316 words: 105,384

Moneyball by Michael Lewis

Cass Sunstein, high batting average, Norman Mailer, old-boy network, placebo effect, RAND corporation, Richard Thaler, systematic trading, the new new thing, the scientific method, upwardly mobile

It is startling, when you think about it, how much confusion there is about this. I find it remarkable that, in listing offenses, the league will list first—meaning best—not the team which scored the most runs, but the team with the highest batting average. It should be obvious that the purpose of an offense is not to compile a high batting average.” Because it was not obvious, at least to the people who ran baseball, James smelled a huge opportunity. How did runs score? “We can’t directly see how many runs each player creates,” he wrote, “but we can see how many runs each team creates.” He set out to build a model to predict how many runs a team would score, given its number of walks, hits, stolen bases, etc.

He still needed a baseball genius to divine his true worth but any moron could see the value of his older brother, at the plate. In all of baseball for the past few years there has been only one batter more useful to an offense: Barry Bonds. Giambi has all the crude offensive attributes—home runs, high batting average, a perennially high number of RBIs. He also has the subtler attributes. When he’s in the lineup, for instance, the opposing pitcher is forced to throw a lot more pitches than when he isn’t. The more pitches the opposing starting pitcher throws, the earlier he’ll be relieved. Relief pitchers aren’t starting pitchers for a reason: they aren’t as good.


pages: 561 words: 114,843

Startup CEO: A Field Guide to Scaling Up Your Business, + Website by Matt Blumberg

activist fund / activist shareholder / activist investor, airport security, Albert Einstein, AOL-Time Warner, bank run, Ben Horowitz, Blue Ocean Strategy, book value, Broken windows theory, crowdsourcing, deskilling, fear of failure, financial engineering, high batting average, high net worth, hiring and firing, Inbox Zero, James Hargreaves, Jeff Bezos, job satisfaction, Kickstarter, knowledge economy, knowledge worker, Lean Startup, Mark Zuckerberg, minimum viable product, pattern recognition, performance metric, pets.com, rolodex, Rubik’s Cube, Salesforce, shareholder value, Silicon Valley, Skype

It was hard and we made mistakes aplenty but using a baseball metaphor, we managed to “hit with a high batting average.” We were able to successfully navigate them by following many of the themes that Matt outlines below and our efforts were rewarded when we sold Quickoffice to Google in 2012. The alignment of your business strategy with your resources is really tough and you will rarely know you have done it well or not so well, until after the fact. I believe your goal is to achieve that “high batting average” so your business will stay healthy enough to continue forward successfully. That’s the lesson I hope you take away from this section.


pages: 407 words: 90,238

Stealing Fire: How Silicon Valley, the Navy SEALs, and Maverick Scientists Are Revolutionizing the Way We Live and Work by Steven Kotler, Jamie Wheal

"World Economic Forum" Davos, 3D printing, Abraham Maslow, Alexander Shulgin, Alvin Toffler, augmented reality, Berlin Wall, Bernie Sanders, bitcoin, blockchain, Burning Man, Colonization of Mars, crowdsourcing, David Brooks, delayed gratification, disruptive innovation, driverless car, Electric Kool-Aid Acid Test, Elon Musk, en.wikipedia.org, Future Shock, Hacker News, high batting average, hive mind, How many piano tuners are there in Chicago?, hype cycle, Hyperloop, impulse control, independent contractor, informal economy, Jaron Lanier, John Markoff, John Perry Barlow, Kevin Kelly, Larry Ellison, lateral thinking, Mason jar, Maui Hawaii, McMansion, means of production, Menlo Park, meta-analysis, microdosing, military-industrial complex, mirror neurons, music of the spheres, off-the-grid, pattern recognition, Peter Thiel, PIHKAL and TIHKAL, prosperity theology / prosperity gospel / gospel of success, Ray Kurzweil, ride hailing / ride sharing, risk tolerance, science of happiness, selective serotonin reuptake inhibitor (SSRI), Silicon Valley, Silicon Valley billionaire, Silicon Valley startup, Skype, Steve Jobs, synthetic biology, TED Talk, time dilation, Tony Hsieh, urban planning, Virgin Galactic

In 2015, a team of scientists led by Oxford neuropsychologist Molly Crockett7 joined forces with the Black Rock City Census to take a closer look at the festival’s power. In their study, 75 percent of attendees reported having a transformative experience at the event, while 85 percent of those reported that the benefits persisted for weeks and months afterward. That’s an incredibly high batting average: Three out of four people who attend the event are meaningfully changed by it. And this doesn’t just happen by accident. Wandering out into the middle of that intentional chaos at 2 a.m., surrounded by fire-spewing dinosaurs, giant neon-lit pirate ships, and the throbbing beats of galactic hip-hop, you’re ripped away from all familiar reference points, totally unstuck in time, and well beyond normal awareness.


pages: 314 words: 101,034

Every Patient Tells a Story by Lisa Sanders

classic study, data acquisition, discovery of penicillin, high batting average, index card, medical residency, meta-analysis, natural language processing, pattern recognition, Pepto Bismol, randomized controlled trial, Ronald Reagan

Indeed, the great majority of medical diagnoses—anywhere from 70 to 90 percent—are made on the basis of the patient’s story alone. Although this is well established, far too often neither the doctor nor the patient seems to appreciate the importance of what the patient has to say in the making of a diagnosis. And yet this is crucial information. None of our high-tech tests has such a high batting average. Neither does the physical exam. Nor is there any other way to obtain this information. Talking to the patient more often than not provides the essential clues to making a diagnosis. Moreover, what we learn from this simple interview frequently plays an important role in the patient’s health even after the diagnosis is made.


pages: 327 words: 103,336

Everything Is Obvious: *Once You Know the Answer by Duncan J. Watts

"World Economic Forum" Davos, active measures, affirmative action, Albert Einstein, Amazon Mechanical Turk, AOL-Time Warner, Bear Stearns, behavioural economics, Black Swan, business cycle, butterfly effect, carbon credits, Carmen Reinhart, Cass Sunstein, clockwork universe, cognitive dissonance, coherent worldview, collapse of Lehman Brothers, complexity theory, correlation does not imply causation, crowdsourcing, death of newspapers, discovery of DNA, East Village, easy for humans, difficult for computers, edge city, en.wikipedia.org, Erik Brynjolfsson, framing effect, Future Shock, Geoffrey West, Santa Fe Institute, George Santayana, happiness index / gross national happiness, Herman Kahn, high batting average, hindsight bias, illegal immigration, industrial cluster, interest rate swap, invention of the printing press, invention of the telescope, invisible hand, Isaac Newton, Jane Jacobs, Jeff Bezos, Joseph Schumpeter, Kenneth Rogoff, lake wobegon effect, Laplace demon, Long Term Capital Management, loss aversion, medical malpractice, meta-analysis, Milgram experiment, natural language processing, Netflix Prize, Network effects, oil shock, packet switching, pattern recognition, performance metric, phenotype, Pierre-Simon Laplace, planetary scale, prediction markets, pre–internet, RAND corporation, random walk, RFID, school choice, Silicon Valley, social contagion, social intelligence, statistical model, Steve Ballmer, Steve Jobs, Steve Wozniak, supply-chain management, tacit knowledge, The Death and Life of Great American Cities, the scientific method, The Wisdom of Crowds, too big to fail, Toyota Production System, Tragedy of the Commons, ultimatum game, urban planning, Vincenzo Peruggia: Mona Lisa, Watson beat the top human players on Jeopardy!, X Prize

Even for more ephemeral skills, like outstanding positional play in professional basketball, that are harder to measure directly but still help the team win, we have almost one hundred NBA games each season that we can watch to observe a player’s effect on his team and on the outcome.13 At first, it seems that an accomplishment like beating the S&P 500 for the year is a pretty good equivalent of a batting average for fund managers—and indeed fund managers with long streaks do tend to beat the S&P 500 more often than average, just like baseball players with high batting averages. By this measure, however, in a forty-year career a fund manager will get only forty “at-bats” total—simply not enough data to estimate the true value with any confidence.14 THE MATTHEW EFFECT And finance is in many respects an easy case—because the existence of indices like the S&P 500 at least provide agreed-upon benchmarks against which an individual investor’s performance can be measured.


pages: 452 words: 110,488

The Cheating Culture: Why More Americans Are Doing Wrong to Get Ahead by David Callahan

1960s counterculture, affirmative action, Alan Greenspan, business cycle, Cornelius Vanderbilt, corporate governance, corporate raider, creative destruction, David Brooks, deindustrialization, East Village, eat what you kill, fixed income, forensic accounting, full employment, game design, greed is good, high batting average, housing crisis, illegal immigration, income inequality, job satisfaction, junk bonds, mandatory minimum, market fundamentalism, Mary Meeker, McMansion, Michael Milken, microcredit, moral hazard, multilevel marketing, new economy, New Urbanism, offshore financial centre, oil shock, old-boy network, PalmPilot, plutocrats, postindustrial economy, profit maximization, profit motive, RAND corporation, Ray Oldenburg, rent stabilization, Robert Bork, rolodex, Ronald Reagan, Savings and loan crisis, shareholder value, Shoshana Zuboff, Silicon Valley, Steve Jobs, The Bell Curve by Richard Herrnstein and Charles Murray, The Chicago School, The Theory of the Leisure Class by Thorstein Veblen, Thorstein Veblen, War on Poverty, winner-take-all economy, World Values Survey, young professional, zero-sum game

Economic inequality has led to striking changes in our society. ♦ In America's new winner-take-all society there is infinitely more to gain, and to lose, when it comes to getting into the right college, getting the right job, becoming a "hot" reporter, showing good earnings on Wall Street, having a high batting average, or otherwise becoming a star achiever. ♦ Higher inequality has led to more divisions between Americans and weakened the social fabric—undermining the notion that we're all "in it together" and bound by the same rules. ♦ Inequality is also reshaping our politics as wealthier Americans get more adept at turning money into influence—twisting rules to their benefit and escaping punishment when they break the rules


pages: 409 words: 105,551

Team of Teams: New Rules of Engagement for a Complex World by General Stanley McChrystal, Tantum Collins, David Silverman, Chris Fussell

Airbus A320, Albert Einstein, Apollo 11, Atul Gawande, autonomous vehicles, bank run, barriers to entry, Black Swan, Boeing 747, butterfly effect, call centre, Captain Sullenberger Hudson, Chelsea Manning, clockwork universe, crew resource management, crowdsourcing, driverless car, Edward Snowden, Flash crash, Frederick Winslow Taylor, global supply chain, Henri Poincaré, high batting average, Ida Tarbell, information security, interchangeable parts, invisible hand, Isaac Newton, Jane Jacobs, job automation, job satisfaction, John Nash: game theory, knowledge economy, Mark Zuckerberg, Mohammed Bouazizi, Nate Silver, Neil Armstrong, Pierre-Simon Laplace, pneumatic tube, radical decentralization, RAND corporation, scientific management, self-driving car, Silicon Valley, Silicon Valley startup, Skype, Steve Jobs, supply-chain management, systems thinking, The Wealth of Nations by Adam Smith, urban sprawl, US Airways Flight 1549, vertical integration, WikiLeaks, zero-sum game

But this limited definition of efficiency meant that they passed on information that was often less useful than it should have been, late, or lacking context. Had each of our teams been an individual at BUD/S, he would have gotten booted in week one. They took pride in their own team’s performance, like the prima donna slugger who touts his high batting average as his team consistently loses. Instinctively, the silos of our organization looked inward, where they could see metrics of success and failure. The habit of constraining information derives in part from modern security concerns, but also from the inured preference for clearly defined, mechanistic processes—whether factory floors or corporate org charts—in which people need to know only their own piece of the puzzle to do their job.


pages: 533 words: 125,495

Rationality: What It Is, Why It Seems Scarce, Why It Matters by Steven Pinker

affirmative action, Albert Einstein, autonomous vehicles, availability heuristic, Ayatollah Khomeini, backpropagation, basic income, behavioural economics, belling the cat, Black Lives Matter, butterfly effect, carbon tax, Cass Sunstein, choice architecture, classic study, clean water, Comet Ping Pong, coronavirus, correlation coefficient, correlation does not imply causation, COVID-19, critical race theory, crowdsourcing, cuban missile crisis, Daniel Kahneman / Amos Tversky, data science, David Attenborough, deep learning, defund the police, delayed gratification, disinformation, Donald Trump, Dr. Strangelove, Easter island, effective altruism, en.wikipedia.org, Erdős number, Estimating the Reproducibility of Psychological Science, fake news, feminist movement, framing effect, George Akerlof, George Floyd, germ theory of disease, high batting average, if you see hoof prints, think horses—not zebras, index card, Jeff Bezos, job automation, John Nash: game theory, John von Neumann, libertarian paternalism, Linda problem, longitudinal study, loss aversion, Mahatma Gandhi, meta-analysis, microaggression, Monty Hall problem, Nash equilibrium, New Journalism, Paul Erdős, Paul Samuelson, Peter Singer: altruism, Pierre-Simon Laplace, placebo effect, post-truth, power law, QAnon, QWERTY keyboard, Ralph Waldo Emerson, randomized controlled trial, replication crisis, Richard Thaler, scientific worldview, selection bias, social discount rate, social distancing, Social Justice Warrior, Stanford marshmallow experiment, Steve Bannon, Steven Pinker, sunk-cost fallacy, TED Talk, the scientific method, Thomas Bayes, Tragedy of the Commons, trolley problem, twin studies, universal basic income, Upton Sinclair, urban planning, Walter Mischel, yellow journalism, zero-sum game

This tension was explored in my favorite essay by the paleontologist, science writer, and baseball fan Stephen Jay Gould.65 Gould discussed one of the greatest achievements in sports, Joe DiMaggio’s hitting streak of fifty-six games in 1941. He explained that the streak was statistically extraordinary even given DiMaggio’s high batting average and the number of opportunities for streaks to have occurred in the history of the sport. The fact that DiMaggio benefited from some lucky breaks along the way does not diminish the achievement but exemplifies it, because no long streak, however pushed along by favorable odds, can ever unfold without them.


pages: 385 words: 128,358

Inside the House of Money: Top Hedge Fund Traders on Profiting in a Global Market by Steven Drobny

Abraham Maslow, Alan Greenspan, Albert Einstein, asset allocation, Berlin Wall, Bonfire of the Vanities, Bretton Woods, business cycle, buy and hold, buy low sell high, capital controls, central bank independence, commoditize, commodity trading advisor, corporate governance, correlation coefficient, Credit Default Swap, currency risk, diversification, diversified portfolio, family office, financial engineering, fixed income, glass ceiling, Glass-Steagall Act, global macro, Greenspan put, high batting average, implied volatility, index fund, inflation targeting, interest rate derivative, inventory management, inverted yield curve, John Meriwether, junk bonds, land bank, Long Term Capital Management, low interest rates, managed futures, margin call, market bubble, Market Wizards by Jack D. Schwager, Maui Hawaii, Mexican peso crisis / tequila crisis, moral hazard, Myron Scholes, new economy, Nick Leeson, Nixon triggered the end of the Bretton Woods system, oil shale / tar sands, oil shock, out of africa, panic early, paper trading, Paul Samuelson, Peter Thiel, price anchoring, proprietary trading, purchasing power parity, Reminiscences of a Stock Operator, reserve currency, risk free rate, risk tolerance, risk-adjusted returns, risk/return, rolodex, Sharpe ratio, short selling, Silicon Valley, tail risk, The Wisdom of Crowds, too big to fail, transaction costs, value at risk, Vision Fund, yield curve, zero-coupon bond, zero-sum game

Aside from their trading acumen, Stan and Nick are the class acts of the hedge fund business. Their word is their bond, they eschew publicity, and they are dedicated family men. George Soros, on the other hand, is much more volatile than Stan and Nick. He is the opposite of Warren Buffett. Buffett has a high batting average. George has a terrible batting average—it’s below 50 percent and possibly even below 30 percent—but when he wins it’s a grand slam. He’s like Babe Ruth in that respect. George used to say, “If you’re right in a position, you can never be big enough.” Having worked with both Soros and Jim Rogers, what differences did you note between former partners?


pages: 829 words: 186,976

The Signal and the Noise: Why So Many Predictions Fail-But Some Don't by Nate Silver

airport security, Alan Greenspan, Alvin Toffler, An Inconvenient Truth, availability heuristic, Bayesian statistics, Bear Stearns, behavioural economics, Benoit Mandelbrot, Berlin Wall, Bernie Madoff, big-box store, Black Monday: stock market crash in 1987, Black Swan, Boeing 747, book value, Broken windows theory, business cycle, buy and hold, Carmen Reinhart, Charles Babbage, classic study, Claude Shannon: information theory, Climategate, Climatic Research Unit, cognitive dissonance, collapse of Lehman Brothers, collateralized debt obligation, complexity theory, computer age, correlation does not imply causation, Credit Default Swap, credit default swaps / collateralized debt obligations, cuban missile crisis, Daniel Kahneman / Amos Tversky, disinformation, diversification, Donald Trump, Edmond Halley, Edward Lorenz: Chaos theory, en.wikipedia.org, equity premium, Eugene Fama: efficient market hypothesis, everywhere but in the productivity statistics, fear of failure, Fellow of the Royal Society, Ford Model T, Freestyle chess, fudge factor, Future Shock, George Akerlof, global pandemic, Goodhart's law, haute cuisine, Henri Poincaré, high batting average, housing crisis, income per capita, index fund, information asymmetry, Intergovernmental Panel on Climate Change (IPCC), Internet Archive, invention of the printing press, invisible hand, Isaac Newton, James Watt: steam engine, Japanese asset price bubble, John Bogle, John Nash: game theory, John von Neumann, Kenneth Rogoff, knowledge economy, Laplace demon, locking in a profit, Loma Prieta earthquake, market bubble, Mikhail Gorbachev, Moneyball by Michael Lewis explains big data, Monroe Doctrine, mortgage debt, Nate Silver, negative equity, new economy, Norbert Wiener, Oklahoma City bombing, PageRank, pattern recognition, pets.com, Phillips curve, Pierre-Simon Laplace, Plato's cave, power law, prediction markets, Productivity paradox, proprietary trading, public intellectual, random walk, Richard Thaler, Robert Shiller, Robert Solow, Rodney Brooks, Ronald Reagan, Saturday Night Live, savings glut, security theater, short selling, SimCity, Skype, statistical model, Steven Pinker, The Great Moderation, The Market for Lemons, the scientific method, The Signal and the Noise by Nate Silver, The Wisdom of Crowds, Thomas Bayes, Thomas Kuhn: the structure of scientific revolutions, Timothy McVeigh, too big to fail, transaction costs, transfer pricing, University of East Anglia, Watson beat the top human players on Jeopardy!, Wayback Machine, wikimedia commons

A good baseball projection system must accomplish three basic tasks: Account for the context of a player’s statistics Separate out skill from luck Understand how a player’s performance evolves as he ages—what is known as the aging curve The first task is relatively easy. Baseball, uniquely among the major American sports, has always been played on fields with nonstandard dimensions. It’s much easier to put up a high batting average in snug and boxy Fenway Park, whose contours are shaped by compact New England street grids, than in the cavernous environs of Dodger Stadium, which is surrounded by a moat of parking lot. By observing how players perform both at home and on the road, we can develop “park factors” to account for the degree of difficulty that a player faces.