• StatsInTheWild MLB rankings as of May 28, 2012 at 1:30pm.  SOS=strength of schedule

    Some comments: ESPN ranking the Dodgers number 1 is an absolute joke.  Yeah, they have the best record in baseball, but they also have the weakest schedule in baseball.  38 of their 47 games so far, almost 81%, have been against teams with a losing record.  That is astonishing.  Ranking the Dodgers number 1 is just one more reason why I don’t trust the “experts” at ESPN.

    Also, for the record, Texas has a run differential of +97.  The next best is St. Louis at +63  That’s quite a gap between number 1 and 2.  I just don’t know how a reasonable person can argue that Texas, right now, isn’t the best team in baseball.

    Team Rank Change Record ESPN TeamRankings.com SOS
    Texas 1 – 30-18 3 1 13
    Baltimore 2 – 29-19 2 2 5
    Tampa Bay 3 ↑1 29-19 5 3 4
    LA Dodgers 4 ↑1 32-15 1 4 30
    NY Yankees 5 ↑3 26-21 10 6 3
    Washington 6 ↑4 29-18 7 5 18
    Toronto 7 ↓4 24-24 8 8 1
    Chicago WSox 8 ↑4 26-22 17 7 14
    Boston 9 ↓3 23-24 16 9 2
    St. Louis 10 ↓1 26-22 6 16 28
    Atlanta 11 ↓4 26-23 4 12 17
    LA Angels 12 ↑3 24-25 20 17 8
    Cincinnati 13 ↑3 27-20 13 11 29
    Miami 14 ↓1 26-22 11 15 16
    Cleveland 15 ↓4 26-21 9 10 11
    Detroit 16 ↑2 23-24 18 14 12
    NY Mets 17 ↑4 27-21 15 13 15
    Philadelphia 18 ↑1 25-24 14 19 19
    San Francisco 19 ↑3 25-23 12 21 27
    Seattle 20 ↓6 21-29 25 24 6
    Houston 21 ↓1 22-25 23 22 23
    Oakland 22 ↓5 22-26 19 18 7
    Kansas City 23 – 19-27 24 23 10
    Arizona 24 – 22-26 22 25 25
    Pittsburgh 25 – 23-24 21 20 26
    Milwaukee 26 – 19-28 26 26 24
    Colorado 27 – 17-29 27 27 21
    San Diego 28 ↑1 17-32 30 29 20
    Minnesota 29 ↓1 15-32 29 28 9
    Chicago Cubs 30 – 15-32 28 30 22

    Past Rankings: 5/23/2012 5/14/2012 5/7/2012 4/30/2012 4/23/2012 4/16/2012 4/13/2012 Cheers.

  • WordPress collects search engine terms that lead to their blogs.  So if someone searched “Awesome statistics blog”, was served a link to my blog, and then clicked through, wordpress would let me know.

    My search terms for today are  “statistics about harry potter”, “lola and eric real name”, and “eric de facto spouse”.  Wonderful.

    Cheers.

  • I was reading this article on Slate about a billionaire and his “de-facto spouse”.  I came across this paragraph (emphasis added):

    In 2002, “Eric” and “Lola” put an end to their decade-long de facto union. (These are pseudonyms used by the media, because Canadian law forbids the publication of the couple’s real names to protect the privacy of their children.) Lola, a Latin American woman, met Eric, a world-famous billionaire, when she was only 17 and he was 32. Although she wanted to get married throughout their relationship, Eric, who claims like many Quebecois that he “doesn’t believe in marriage,” refused.

    Now, speaking as someone who wrote a dissertation about statistical disclosure control, this is not good.  Many authors often give examples of why you can’t release certain characteristics about an individual if you want to maintain privacy.  Common examples include releasing occupation information for someone who has a very rare occupation (e.g. Senator, Prime Minister) or releasing salary information on someone who has a very large salary.  Knowing this type of in formation severely limits to potential pool of people who could possibly be the target.  Further, the more details you have about an individual the easier it is to identify that person (e.g. age, location, gender, birth date).

    Here is the information from just that one paragraph on Slate (I should be clear here, I am not criticizing slate at all; If Canada really values privacy, they need to think a little bit harder than this though):

    • “Eric” is a billionaire (a famous one, even).
    • “Eric” was 32 in 1992.  (This means he was born in 1959 or 1960 and is about 52 now.)
    • “Eric” is from Quebec.
    • “Eric” is a man.
    • “Lola” is Latin American.
    • “Lola” was 17 in 1992.
    • “Lola” dated “Eric” for ten years.
    • “Lola” is a woman.

    I’m not going to do this right now, but I bet I could you can figure out who “Eric” is in about 15 4 minutes (according to commenter Brandon) with nothing more than Google.  (Here is a good place to start.)

    Canada, here are some articles you might be interested in:

    Cheers.

  • StatsInTheWild MLB rankings as of May 23, 2012 at 11:51pm.  SOS=strength of schedule

    Team Rank Change Record ESPN TeamRankings.com SOS
    Texas 1 – 27-18 3 2 14
    Baltimore 2 ↑3 28-17 2 1 5
    Toronto 3 ↑4 24-21 8 5 3
    TampaBay 4 ↑4 27-18 5 4 4
    LADodgers 5 ↓1 30-13 1 3 30
    Boston 6 ↑7 22-22 16 9 2
    Atlanta 7 ↓5 26-19 4 7 19
    NYYankees 8 ↑1 23-21 10 10 1
    St. Louis 9 ↓6 24-19 6 13 29
    Washington 10 ↓4 26-18 7 6 17
    Cleveland 11 ↑10 25-18 9 8 12
    ChicagoWSox 12 ↑7 22-22 17 15 13
    Miami 13 ↓3 24-20 11 12 16
    Seattle 14 ↑6 21-25 25 17 8
    LAAngels 15 ↑7 20-25 20 22 6
    Cincinnati 16 ↓4 24-19 13 11 28
    Oakland 17 ↓3 22-23 19 14 7
    Detroit 18 – 20-23 18 18 11
    Philadelphia 19 ↓4 22-23 14 24 18
    Houston 20 ↓6 21-23 23 20 25
    NYMets 21 ↓10 24-20 15 16 15
    SanFrancisco 22 ↓5 23-21 12 19 27
    Kansas City 23 ↑6 17-26 24 23 10
    Arizona 24 ↓1 19-25 22 25 23
    Pittsburgh 25 ↓1 20-24 21 21 26
    Milwaukee 26 ↑1 18-26 26 28 24
    Colorado 27 ↓1 16-27 27 30 21
    Minnesota 28 ↑2 15-28 29 26 9
    San Diego 29 – 16-28 30 28 20
    Chicago Cubs 30 ↓5 15-29 28 29 22

    Past Rankings: 5/14/2012 5/7/2012 4/30/2012 4/23/2012 4/16/2012 4/13/2012 Cheers.

  • Ben Blatt's avatarThe Harvard Sports Analysis Collective

    By Ben Blatt

    In 1964, Mosteller and Wallace published Inference and Disputed Authorship: The Federalist. The paper used statistical analysis to try to determine if James Madison, Alexander Hamilton, or John Jay was the author of the unaccredited essays that were part of The Federalist Papers. They approached this historical mystery by using differences in word frequencies and Bayesian statistics. While controversial, similar methods have been used to investigate other authorship debates such as Shakespeare’s sonnets and plays. The same can be done for sports articles. While it would certainly be easier to look at the author’s name right underneath the title than to perform a statistical analysis of authors, I thought it would be fun anyways.

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