Posts Tagged ‘ data ’

Book review: Everybody Lies by Seth Stephens-Davidowitz

May 15, 2017
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Book review: Everybody Lies by Seth Stephens-Davidowitz

Kaiser Fung, founder of Principal Analytics Prep, discusses Seth Stephens-Davidowitz's new book, Everybody Lies

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The Times agrees on privacy and kind of on fake news business

May 11, 2017
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The New York Times Magazine has been publishing some pieces that directly relate to a couple of my blog posts. In this article, Amanda Hess noticed that "privacy became a commodity for the rich and powerful." This echoes my blog post on "Data is the next frontier of equal rights." Hess discussed the asymmetry and hypocrisy of the situation whereby the same businesses and business executives that are wantonly stripping…

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A pretty good chart ruined by some naive analysis

May 10, 2017
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A pretty good chart ruined by some naive analysis

The following chart showing wage gaps by gender among U.S. physicians was sent to me via Twitter: The original chart was published by the Stat News website (link). I am most curious about the source of the data. It apparently...

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Here’s What I’ve Been Reading

May 5, 2017
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Here’s What I’ve Been Reading

Here are some of the papers that I've been reading recently. Some of them may appeal to you, too:Bampinas, G., K. Ladopoulos, &T. Panagiotidis, 2017.  A note on the estimated GARCH coefficients from the S&P1500 universe. WP 17-09, Rimini C...

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Pints, water, fishes, pond

May 2, 2017
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Pints, water, fishes, pond

@apollo_0 on twitter asks me to comment on this, by Scientific Britain: Here's my comment:

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Data sleaze: Uber and beyond

April 26, 2017
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There has been a barrage of negative publicity related to Uber recently. The latest salvo is a long article in the New York Times (link). This piece focuses on Uber's CEO, who was trained as a computer engineer, but my interest lies primarily in several revelations about how Uber collects and uses customer data. The key episode picked up by various outlets (e.g. TechCrunch, Wired) involves Uber "secretly identifying and…

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The get-rich-quick scheme of the English

March 31, 2017
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The get-rich-quick scheme of the English

The World Economic Forum published this chart: The "EF EPI Score" is a measure of English proficiency. So the evidence is clear as day: "Better English and Income Go Hand in Hand," as their headline blares. Last time I was in the New York subway, the panhandler spoke good English. What's a blogger to do? I pulled out the EPI scores from the EPI report, and downloaded the Gross National…

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Confused by machines, or spooked by the machine-makers

March 29, 2017
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This New York Times article draws attention to real trends in the financial investments industry but gets completely lost in the smoke around those pushing "machines" and "data". The trend most concerning to the investments industry is the sustained, large-scale outflow of money from "actively-managed" funds, mutual funds being the biggest category of such. The industry makes loads of money from management fees by promoting the idea that investors are…

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One statement employing two resistance tactics to fend off the data

March 10, 2017
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I want to parse this statement by new EPA Chief Scott Pruitt, as quoted in this New York Times article: I think that measuring with precision human activity on the climate is something very challenging to do and there’s tremendous disagreement about the degree of impact, so no, I would not agree that it’s a primary contributor to the global warming that we see. I'm not going to talk about…

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An enjoyable romp through the movies

February 22, 2017
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An enjoyable romp through the movies

Chris P. tipped me about this wonderful webpage containing an analysis of high-grossing movies. The direct link is here. First, a Trifecta checkup: This thoughtful web project integrates beautifully rendered, clearly articulated graphics with the commendable objective of bringing data...

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