One of my favorite Bible stories as a child was the story of David and Goliath from 1 Samuel 17. I need to read it again because I have sometimers disease. Sometimes I remember and sometimes I really don’t recall David using Angry Birds in his slingshot. 

Article: How to hack a nation’s infrastructure

How to hack a nation’s infrastructure http://www.bbc.co.uk/news/technology-22524274

“All My Calories - Watching an hour-long soap opera burns more calories than watching a three-hour baseball game.”
The grass and the yard sale are always better on the other side. 
“Gunter glieben glauchen globen.
Alright, I got somethin’ to say.
Yeah, it’s better to burn out.
Yeah, then fade away.”

Gunter, glieben, glauchen, globen are the first four “words” of Def Leppard’s “Rock of Ages” and Offspring’s “Pretty Fly for a White Guy.” Both bands have something to say but WTF does it really mean? With the exception of “globen” as the plural form of “globe” it essential translates into nothing. These four german sounding “words” are merely a tasty brat until you bite into it and find there’s no sausage or mustard and soy posing as your side of sauerkraut. GIBBERISH.  

 

#Theignorantandhatefulbirdofprejudice.

The Geography of Hate is part of a larger project by Dr. Monica Stephens of Humboldt State University (HSU) identifying the geographic origins of online hate speech. Undergraduate students worked to produce the data and this map as part of Dr. Stephens’ Advanced Cartography course at Humboldt State University. 

The data behind this map is based on every geocoded Twitter message or “tweet” in the United States from June 2012 - April 2013 containing one of the ‘hate words’. This equated to over 150,000 tweets and was drawn from the DOLLY project based at the University of Kentucky. Because algorithmic sentiment analysis would automatically classify any tweet containing ‘hate words’ as “negative,” this project relied upon the HSU students to read the entirety of tweet and classify it as positive, neutral or negative based on a predefined rubric. Only those tweets that were identified by human readers as negative were used in this analysis.

“When I am sad, I sing, acapella and sometimes acoustic and then the world is sad with me.”
“To all you virgins, thanks for nothing.”