The Red Scare Index: 35
March 20, 2009 11:27 am ET by Karl Frisch
Here is today's daily Red Scare Index
-- our search of CNN, CNN Headline News, Fox News Channel, Fox Business
Network, MSNBC and CNBC for uses of the following terms: Socialism,
Socialist, Socialistic, Communism, Communist, Communistic, Marxism and
Marxist.
Here are the numbers for yesterday, Thursday, March 19, 2009:
TOTAL: 35
Socialism, Socialist, Socialistic: 14
Communism, Communist, Communistic: 19
Marxism/Marxist: 2
By Network:
CNN: 3
Socialism, Socialist, Socialistic: 0
Communism, Communist, Communistic: 3
Marxism/Marxist: 0
CNN Headline News: 0
Socialism, Socialist, Socialistic: 0
Communism, Communist, Communistic: 0
Marxism/Marxist: 0
Fox News Channel: 5
Socialism, Socialist, Socialistic: 2
Communism, Communist, Communistic: 2
Marxism/Marxist: 1
Fox Business Network: 3
Socialism, Socialist, Socialistic: 1
Communism, Communist, Communistic: 2
Marxism/Marxist: 0
MSNBC: 24
Socialism, Socialist, Socialistic: 11
Communism, Communist, Communistic: 12
Marxism/Marxist: 1
CNBC: 0
Socialism, Socialist, Socialistic: 0
Communism, Communist, Communistic: 0
Marxism/Marxist: 0
The above numbers are the result of a TVeyes.com power search for these terms on these networks.
BTW, here is a running Red Scare Index chart updated with today's spike in the scare index (from March 19, that is):
http://farm4.static.flickr.com/3468/3369965653_4f8db51f93.jpg
Here are the data when the individual stations are collapsed by parent network:
It's too early, we need more data points. I'm looking for trends ...
How do you plan to assess a "trend". Are you going to use a parametric or semi-parametric test? Are you going to normalize the data? Will you assess power before running your tests to determine your threshold for significance? Are you going to consider confounding or effect modification?
Not manually! I was going to run it through a data mining engine.