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742 andrew gelman stats-2011-06-02-Grouponomics, counterfactuals, and opportunity cost


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Introduction: I keep encountering the word “Groupon”–I think it’s some sort of pets.com-style commercial endeavor where people can buy coupons? I don’t really care, and I’ve avoided googling the word out of a general animosity toward our society’s current glorification of get-rich-quick schemes. (As you can tell, I’m still bitter about that whole stock market thing.) Anyway, even without knowing what Groupon actually is, I enjoyed this blog by Kaiser Fung in which he tries to work out some of its economic consequences. He connects the statistical notion of counterfactuals to the concept of opportunity cost from economics. The comments are interesting too.


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1 I keep encountering the word “Groupon”–I think it’s some sort of pets. [sent-1, score-0.601]

2 I don’t really care, and I’ve avoided googling the word out of a general animosity toward our society’s current glorification of get-rich-quick schemes. [sent-3, score-1.126]

3 (As you can tell, I’m still bitter about that whole stock market thing. [sent-4, score-0.646]

4 ) Anyway, even without knowing what Groupon actually is, I enjoyed this blog by Kaiser Fung in which he tries to work out some of its economic consequences. [sent-5, score-0.778]

5 He connects the statistical notion of counterfactuals to the concept of opportunity cost from economics. [sent-6, score-0.962]


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Introduction: I keep encountering the word “Groupon”–I think it’s some sort of pets.com-style commercial endeavor where people can buy coupons? I don’t really care, and I’ve avoided googling the word out of a general animosity toward our society’s current glorification of get-rich-quick schemes. (As you can tell, I’m still bitter about that whole stock market thing.) Anyway, even without knowing what Groupon actually is, I enjoyed this blog by Kaiser Fung in which he tries to work out some of its economic consequences. He connects the statistical notion of counterfactuals to the concept of opportunity cost from economics. The comments are interesting too.

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Introduction: Business statistician Kaiser Fung just came out with another book, this one full of stories about how organizations use data: 1. Why do law school deans send each other junk mail? 2. Can a new statistic make us less fat? 3. How can sellouts ruin a business? 4. Will personalizing deals save Groupon? 5. Why do marketers send you mixed messages? 6. Are they new jobs if no one can apply? 7. How much did you pay for the eggs? 8. Are you a better coach or manager? Unlike most books of this sort, there’s no hero: These are not stories about a fabulous businessman who made millions of dollars by following his dream and taking the customer seriously, nor are they Gladwellian sagas of brilliant scientists, nor are they auto-Gladwellian tales of the Ariely variety. In some ways, the stories in Fung’s book have the form of opened-up business reporting, in which you get to see the statistical models underlying various assumptions and conclusions. In that sense, this b

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