Geek Of The Week June 8, 2012

This week’s Geek of the Week caused me to squee for a number of reasons. In no particular order, these reasons are:

  1. It is Star Trek related.
  2. It is science related.
  3. I’m pals with David Allen Batchelor (@davidabatchelor), the guy who wrote the NASA article the following is based upon.

Ladies and gentlemen, I present to you an infographic, created by Best Computer Science Degrees, The Science of Star Trek:

The Science of Star Trek
From: Best Computer Science Degree

Have a great weekend!

h/t to Jeff Smith on Google+

Jules Sherred is the parent of two teenage boys, freelance writer, web designer, author of Five Little Zombies and Fred, General Manager and radio personality at The Look 24/7, owner of the largest Star Trek community on Google+, Geeky Pleasures creator, geek support for Parsec Award winning The Minister of Chance, and more. On the Geeky Pleasures Radio Show, Jules has interviewed Wil Wheaton, Jonathan Coulton, Phil Plait, Sylvester McCoy, Richard Hatch, Paul and Storm, R.A. Salvatore, John Kovalic, and so many more. Jules' writing can also be found on Hugo Award winning SF Signal, GeekMom, United Federation of, Nerdy With Children, Star Wars vs Star Trek. Slowly, Jules is working on another book titled Nerd Love. You can follow Jules on Twitter @GeekyJules. Also, JULES LOVES STAR TREK.

2 Responses to Geek Of The Week June 8, 2012

  1. Interesting stuff. For our next trick, we should spend some time debating the plausibility ranking (I think universal translator is a bit low, especially if you don’t require it to be an instant universal translator).

    Oh, and it’s ‘make do’, not ‘due’.

    • I actually had the same thought when I saw where the translator sat. Dave is going to be on my Geeky Pleasures Radio Show in a few months. We’ll be sure to bring up this article. If there are any other points you are curious about, please let me know :)

Leave a reply

Hosting sponsored by Skookum Monkey. Visit Skookum Monkey to see how they can help you.

Real Time Web Analytics