(Difference between revisions)
 Revision as of 21:47, 20 December 2011 (edit) (you have to provide proof)← Older edit Revision as of 20:52, 4 April 2013 (edit) (undo) (e-mail → email (except in link))Newer edit → Line 8: Line 8: [[Image:SBEScatter2.png|thumb|200px|right|A scatter plot of chronological number vs. length, without outliers.]] [[Image:SBEScatter2.png|thumb|200px|right|A scatter plot of chronological number vs. length, without outliers.]] - The scatter plot to the left illustrates the relationship between the e-mail number and its corresponding length (the red plots for the original length, and the black plots including the Easter Eggs).  This can be mathematically modeled using a power regression curve, which allows us to measure the trend for e-mail duration as well as predict the ongoing trend for future e-mails.  The ''R²'' value for these curves identifies how strong this relationship is (how close the points are to the model): a value of 1 means that the model and the data is identical, while a -1 means that the model does not relate to the data at all.  The equation for the black curve is y = 0.0002513x0.4746 and the equation for the red curve is y = 0.0002467x0.4593. + The scatter plot to the left illustrates the relationship between the email number and its corresponding length (the red plots for the original length, and the black plots including the Easter Eggs).  This can be mathematically modeled using a power regression curve, which allows us to measure the trend for email duration as well as predict the ongoing trend for future emails.  The ''R²'' value for these curves identifies how strong this relationship is (how close the points are to the model): a value of 1 means that the model and the data is identical, while a -1 means that the model does not relate to the data at all.  The equation for the black curve is y = 0.0002513x0.4746 and the equation for the red curve is y = 0.0002467x0.4593. - There are certain e-mails, however, whose lengths were much longer than the e-mails surrounding them, called ''outliers''.  These e-mails can affect the accuracy of the model and, if removed, can allow for greater accuracy.  The graph on the right has the outliers removed, which subsequently improves the ''R²'' value for the curves.  The black curve's equation becomes y = 0.0002512x0.4717 and the red equation becomes y = 0.0002466x0.4565.  Of course, it should be noted that these models are by no means a guaranteed guess; e-mail 500, for example, is unlikely to be over six and a half minutes long, as this model predicts. + There are certain emails, however, whose lengths were much longer than the emails surrounding them, called ''outliers''.  These emails can affect the accuracy of the model and, if removed, can allow for greater accuracy.  The graph on the right has the outliers removed, which subsequently improves the ''R²'' value for the curves.  The black curve's equation becomes y = 0.0002512x0.4717 and the red equation becomes y = 0.0002466x0.4565.  Of course, it should be noted that these models are by no means a guaranteed guess; email 500, for example, is unlikely to be over six and a half minutes long, as this model predicts. - In the email [[theme song]], Strong Bad tells his viewers that each email is about 3 to 5 minutes long.  Approximately 51% of all e-mails released as of [[email thunder]] fall in this range. + In the email [[theme song]], Strong Bad tells his viewers that each email is about 3 to 5 minutes long.  Approximately 51% of all emails released as of [[email thunder]] fall in this range. ==Strong Bad Email by era== ==Strong Bad Email by era==

## Revision as of 20:52, 4 April 2013

No Loafing!

With more and more Strong Bad Emails released on homestarrunner.com, it is hard to keep track of all the statistics, such as 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.

## Contents

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

A scatter plot of chronological number vs. length, with outliers.
A scatter plot of chronological number vs. length, without outliers.

The scatter plot to the left illustrates the relationship between the email number and its corresponding length (the red plots for the original length, and the black plots including the Easter Eggs). This can be mathematically modeled using a power regression curve, which allows us to measure the trend for email duration as well as predict the ongoing trend for future emails. The value for these curves identifies how strong this relationship is (how close the points are to the model): a value of 1 means that the model and the data is identical, while a -1 means that the model does not relate to the data at all. The equation for the black curve is y = 0.0002513x0.4746 and the equation for the red curve is y = 0.0002467x0.4593.

There are certain emails, however, whose lengths were much longer than the emails surrounding them, called outliers. These emails can affect the accuracy of the model and, if removed, can allow for greater accuracy. The graph on the right has the outliers removed, which subsequently improves the value for the curves. The black curve's equation becomes y = 0.0002512x0.4717 and the red equation becomes y = 0.0002466x0.4565. Of course, it should be noted that these models are by no means a guaranteed guess; email 500, for example, is unlikely to be over six and a half minutes long, as this model predicts.

In the email theme song, Strong Bad tells his viewers that each email is about 3 to 5 minutes long. Approximately 51% of all emails released as of email thunder fall in this range.

## Strong Bad Email by era

The Lappy 486 has officially surpassed the Compy 386.

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 (Pom Pilot, Tangerine Dreams, and Corpy NT6.)

## Total time spent using each computer

Total length of Strong Bad Emails per computer

This section involves data taken from the Strong Bad Email by Length page. The chart recognizes four categories of computers: Tandy 400 (includes Broken Tandy), Lappy 486, Compy 386, and Other.

## Strong Bad Emails featuring more than one email

Several Strong Bad Emails feature more than one email.

• credit card — After checking his email, Strong Bad sends an email to, and gets a reply from, Homestar Runner.
• spring cleaning — Strong Bad checks five emails and promptly deletes each one.
• sisters — Strong Bad accidently deletes the first email he gets and later receives a poorly written one.
• 50 emails — Strong Bad checks two emails (and begins to check another before Homestar Runner arrives and "answers" another two).
• huttah! — The first five emails Strong Bad checks all show particular interest in The Cheat (he deletes most of them). The last two are all directed to Strong Bad, but he attempts to fool The Cheat into thinking they're for him.
• personal favorites — In addition to the main email, Strong Bad mentions ten emails in fake flashbacks (eight in the main toon, two in Easter eggs).
• 2 emails — Jimmy suggests Strong Bad check two emails a week and he does. He can also be seen checking a third email during the fast-forwarding.
• cheatday — After Strong Bad checks his email, he lets The Cheat check another three emails.
• other days — In addition to the main email, Strong Bad answers a Polish email (and a snail mail).
• bottom 10 — Strong Bad receives an email with large numbers of "Fwd:" and "Re:" in the subject line, as an example of #8 on his bottom 10.
• theme song — Strong Bad can be seen answering an email in one of the theme song montages.
• retirement — Strong Bad answers an email on each of his first two computers.
• the chair — Strong Bad answers a second email, but his new chair obstructs almost the entire screen of the Lappy while he does so.
• being mean — Strong Bad checks three emails from Nice Dad.
• email thunder — Strong Bad checks an email addressed to Homestar, then later sends another email to Homestar.

## 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: 11.45 days
• Median: 7 days
• Mode: 7 days — 69 emails came out 7 days after the previous release
• Minimum: 1 day — There was 1 day between the releases of retirement A and retirement B. The minimum interval between wholly separate emails was 4 days, which happened between brianrietta and i love you and again between ghosts and theme party.
• Maximum: 3666 days and counting — Strong Bad emails have been on hiatus since October 5, 2009, when videography was released. The longest hiatus with a definite ending was 280 days between email thunder and hremail3184. Prior to that, the longest known time between two emails was 71 days, between halloweener and brianrietta, at which point Strong Bad Email was made a regular feature. The longest span between emails during an active period is 63 days, between the paper and mini-golf.

Note: Data are not complete. Reliable dates are not available for homsar, butt IQ, homestar hair, making out, and depressio. These data are as of October 4, 2006.

## Other information

• 41% of all emails have no location given; 2% have no return sender at all.
• The average email is 1.81 sentences long; the average cartoon is 152.82 seconds long.
• The Brothers Chaps most frequently choose emails with sender names starting with J or S. Together these senders make up a whopping 26.75% of all emails. This may be an indicator of popular names in the world, not an indication of TBC preference.
• Only 18% of all emails are longer than two sentences. Only one email longer than four sentences has ever been used.
• There are eight substantiated claims of Strong Bad answering an email from an HRWiki or HRWiki forum user.