Monthly Archive for September, 2008

Tonight at 7 PM: Yet Another Exciting Evening of Thrills and Suspense!

Take Me Out to the Graveyard

In this classic Quiet, Please, Ralph Acevedo stars as a cabbie who takes some very creepy passengers. . . Out to the Graveyard!

Take Me Out to the Graveyard

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The Big Sleep

Enjoy MrTots’ original adaptation of Raymond Chandler’s greatest work. ” I assume they have all the usual vices, besides those they’ve invented for themselves.”

The Big Sleep

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Kofi Appiah for President 3AM

This November, Vote Kofi!

Kofi Appiah for President 3AM

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This Saturday: “The Big Sleep”

The Middlebury Radio Theater of Thrills and Suspense is proud to present Raymond Chandler’s The Big Sleep, starring Bill Noble, Hannah Brotherton, Izzy Nuttall, and Kofi Appiah as Eddie Mars.  Tune in this Saturday at 7 PM to WRMC 91.1 FM to hear this, our exciting season premiere!  Also featuring a performance of Take Me Out to the Graveyard, a “Quiet, Please” epic of deception, death, and cab drivers.  Listen to it!  Love it!

Information Session Tonight, 9 PM in the Mitchell Green Lounge

For you Midd students who didn’t receive the e-mail or stumbled upon this site by chance, Mr|Tots will be holding its pre-season info session tonight at 9 PM in the Mitchell Green Lounge at the McCullough Student Center.  Hope to see you there!

Podcast Temporarily Down

September 8, 2008: Due to some major issues with one of the hosting companies, the podcast is temporarily down. It will be back up as soon as possible. Stay tuned for more.

Update, September 9, 2008: All podcast episodes as well as all other online functionality should be back up.

Mr|Tots.com: Now with 100% More S3(TM)

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In eager preparation for the new season, we’ve been making some major changes to the website. We just moved to a newer, faster, and significantly more robust server. In addition, we have the biggest new change to the podcast in some time. The podcast is now deliverd using the S3(TM) service from Amazon(TM). S3 is the same service used by companies such as SmugMug(TM) and others. By using their super fast networks, we have removed the bottleneck which sometimes occured when lots of users were updating the podcast simultaneously. With the S3(TM) based podcast, we should be able to deliver to an almost infinite number of users at maximum speed.