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Culture

Despite individual triumphs and memorable moments, Team USA had its worst performance in 20 years.

Read more of ’s .

There were some high points for Team USA at the 2018 Winter Games. In what might end up being her last Olympics, downhill skier Lindsey Vonn became the in history, and the United States ended its “” when two female skiers won gold on Sunday—the first time the U.S. medaled in cross-country skiing since 1976.

Still, when you look strictly at the numbers, it’s been a disappointing 2018 Winter Olympics for the United States. America sent to Pyeongchang but will take home just 23 medals, ending up in fourth place overall. Compare this to Norway, which has an Olympic delegation less than half the size of Team USA’s, with 109 team members, and won 39 medals.

Below, we have organized the medals earned by each nation into categories. First, we counted the sheer number of medals earned, and then we weighted them by type of medal. Through calculations by Charlotta Mellander, my colleague at the , we also controlled for population size, economic output, and team size.

(Although the Russian athletes competed as “Olympic Athletes from Russia,” or OARs, following an into a doping scandal after the 2014 Winter Olympics, we have treated them simply as Russia in our analysis.)

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that the U.S. was getting crushed, and smaller nations from colder climates were dominating. This remains more or less true at the end. While the U.S. moved up from sixth place to fourth in total medals, the leading countries are the same as before: Norway first, Germany second, and Canada third.

Total Medal Count for Winter Olympics 2018

Next, we weighted the medals—awarding four points for gold, two for silver, and one for bronze—to give a better sense of the gap between the U.S. and this year’s leaders. With 58 points, the U.S. lags far behind Norway, Germany, and Canada.

Weighted Medal Count for Winter Olympics 2018

Then we controlled for a country’s economic size, looking at weighted medals per $100 billion of economic output, or GDP. Here, the U.S. falls all the way to 27th place. Only China, Spain, and Great Britain did worse on this metric.

Weighted Medals per $100 Billion of Economic Output for Winter Olympics 2018

Weighted Medals per $100 Billion of Economic Output for Winter Olympics

We also controlled for team size, which may be a better way to gauge the efficiency of a national Olympics team. America’s large team places 12th on this metric. The Netherlands comes in first, with only 34 Olympians, but other top nations sent relatively large teams. Norway takes second place with 109 athletes, putting Germany in third (156), and Sweden in fourth (116). South Korea, with 123 athletes, takes sixth place by this measure. Canada, which sent 225 Olympians to these Winter Games—its Wholesale Online Loafers for Men On Sale Avio Blue Leather 2017 65 675 7 8 925 Dolce amp; Gabbana Buy Cheap Cheapest Price oG88T
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By Rick Wicklin on The DO Loop Advanced Analytics

A colleague related the following story: He was taking notes at a meeting that was attended by a fairly large group of people (about 20). As each person made a comment or presented information, he recorded the two-letter initials of the person who spoke. After the meeting was over, he was surprised to discover that all of the initials of the people in the room were unique! Nowhere in his notes did he write "JS said..." and later wonder "Was that Jim Smith or Joyce Simpson?"

My colleague asked, "If 20 random people are in a room, do they usually have different initials or is it common for two people to share a pair of initials?" In other words, was his experience typical or a rare occurrence?

The Distribution of Initials at a Large US Software Company

In order to answer that question, it is necessary to know the distribution of initials in his workplace.

Clearly, the distribution of initials depends on the population of the people in the workplace. In some cultures, names that begin with X or Q are rare, whereas in other cultures names that begin with those letters (when phonetically translated into English) are more common.

SAS is a large US software company with a diverse base of employees, so I decided to download the names of 4,502 employees that work with me in Cary, NC, and write a DATA step program that extracts the first and last initials of each name.

You can use the FREQ procedure to compute the frequencies of the first initial ( I1 ), the last initial ( I2 ), and the frequency of the initials taken as a pair. The following statements output the frequency of the initials in decreasing order:

As an example, I can display the relevant frequency for my initials (RW) as well as the initial of the SAS cofounders, Jim Goodnight and John Sall:

The initials "JS" are the most frequent initials in my workplace, with 61 employees (1.35%) having those initials. The initials "JG" are also fairly common; they are the 10th most popular initials. My initials are less common and are shared by only 0.4% of my colleagues.

If you want to conduct your own analysis, you can download a comma-separated file that contains the initials and frequencies.

You can use PROC SGPLOT to display bar charts for the first and last initials.

The bar charts show that J, M, S, D, and C are the most common initials for first names, whereas S, B, H, M, and C are the most common initials for last names.

In contrast, U, Q, and X are initials that do not appear often for either first or last names. For first initials, the 10 least popular initials cumulatively occur less than 5% of the time. For last initials, the 10 least popular initials cumulatively occur about 8% of the time.

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FULL STORY

Do you like your name and initials? Most people do and, as past research has shown, sometimes we like them enough to influence other important behaviors. For example, Jack is more likely to move to Jacksonville and marry Jackie than is Philip who is more likely to move to Philadelphia and marry Phyllis. Scientists call this phenomenon the “name-letter effect” and argue that it is influential enough to encourage the pursuit of name-resembling life outcomes and partners.

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However, if you like your name too much, you might be in trouble. Leif Nelson at the University of California, San Diego and colleague Joseph Simmons from Yale University, found that liking your own name sabotages success for people whose initials match negative performance labels.

In their first study, Nelson and Simmons investigated the effect of name resemblance on batters’ strikeouts. In baseball, strikeouts are recorded using the letter ‘K.’ After analyzing Major League Baseball players’ performance spanning 93 years, the researchers found that batters whose names began with ‘K’ struck out at a higher rate than the remaining batters. “Even Karl ‘Koley’ Kolseth would find a strikeout aversive, but he might find it a little less aversive than players who do not share his initials, and therefore he might avoid striking out less enthusiastically,” write the authors.

In a second study, the researchers investigated the phenomenon in academia. Letter grades are commonly used to measure students’ performance, with the letters ‘A,’ ‘B,’ ‘C’ and ‘D’ denoting different levels of performance. Nelson and Simmons reviewed 15 years of grade point averages (GPAs) for M.B.A. students graduating from a large private American university.

Students whose names began with ‘C’ or ‘D’ earned lower GPAs than students whose names began with ‘A’ or ‘B.’ Students with the initial ‘C’ or ‘D,’ presumably because of an unconscious fondness for these letters, were slightly less successful at achieving their conscious academic goals.

Interestingly, students with the initial ‘A’ or ‘B’ did not perform better than students whose initials were grade irrelevant. Therefore, having initials that match hard-to-achieve positive outcomes, like acing a test, may not necessarily cause an increase in performance. However, after analyzing law schools, the researchers found that as the quality of schools declined, so did the proportion of lawyers with name initials ‘A’ and ‘B.’

The researchers confirmed these findings in the laboratory with an anagram test. The result of the test confirmed that when people’s initials match negative performance outcomes, performance suffers. These results, appearing in the December issue of Psychological Science, provide striking evidence that unconscious wants can insidiously undermine conscious pursuits.

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