Strong Bad Email Statistics

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Revision as of 02:37, 12 October 2005 by DMurphy (Talk | contribs)
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No Loafing!

With more and more Strong Bad Email released on the Homestar Runner website, it is hard to keep track of all the statistics. For example, which computer was used the most, or how the length of emails has increased throughout the years. To correctly calculate those numbers, a few charts and graphs have been made for the ease of the people who like to know everything about Strong Bad and his emails.


Strong Bad Email By Length

This section involves data taken from the list Strong Bad Email By Length.

A scatter plot of chronological number vs. length, with outliers.

  • The scatter plot shows a fairly strong positive correlation between Email Number and Email Length. The r value between these two variables without deleting outliers is .736.
    • An r value of 1 would indicate a perfect, positive correlation. A value of -1 indicates a perfect, negative correlation. Therefore, .736 indicates a fairly strong, positive correlation.
  • This plot shows there are a handful of clear outliers which are likely affecting the correlation. In the plot below, the outliers have been removed. A Least Squares Regression Line (LSRL) has also been added.
    • The outliers were defined as those emails with a residual value of 40 or greater, or -40 or less.
A scatter plot of chronological number vs. length, without outliers.

  • The LSRL can be used to extrapolate, or guess the length of future emails. The r value of this line is .946.
    • The equation for the LSRL is y = 1.4051x + 43.995. y = Time (seconds); x = Email number
  • This method of guessing is not 100% accurate, since it is unlikely the emails will ever be, say, 20 minutes long. This equation should not be considered a foolproof method for guessing the length of an email, but it does give a nice idea of what the average length of an email is at a given point in time.

Strong Bad Email By Era

"The newer, the longer"
But Compy 386 can win the stupid competition.

This section involves data on the computer used to answer each email, or the "era" of the computer. The categories are Tandy 400, Broken Tandy, Compy 386, Lappy 486, and Other. (So far, other is Pom Pilot and Tangerine Dreams)

Strong Bad Emails Featuring More Than One Email

Several Strong Bad Emails feature more than one email.

Intervals Between Strong Bad Emails

A column graph showing the intervals between Strong Bad Emails.

Strong Bad Emails are released at varying frequencies. The graph on the right shows the number of days in between the release of an email. Here is a summary of the data:

  • Mean: 10.7 days
  • Median: 7 days
  • Mode: 7 days — 64 emails came out 7 days after the previous release
  • Minimum: 4 days — There were 4 days between the releases of brianrietta and i love you as well as ghosts and theme party
  • Maximum: 49 days — There were 49 days between the releases of and geddup noise

Note: Data is not complete. Reliable dates are not available for homsar, butt IQ, homestar hair, making out, depressio, and sb_email 22. This data is as of September 26, 2005.

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