This is a poll that won’t get a lot of airplay. Only 13% of respondents to a Sept. 5-6 CNN/USA Today/Gallup poll believe President Bush is to blame for the Katrina aftermath. 87% point the blame elsewhere or believe no one is to blame. 13% is a significant number. In the political environment we live in, most polls blaming Bush for just about anything will hit 40% or higher. I didn’t think a scenario could be put together that could only come up with a 13% figure to blame President Bush. That on the heels of incredible media propoganda that has blamed the President for everything from causing the hurricane to withholding aid from black citizens. The real truth about it all is just starting to trickle in.
Another predictable thing about this poll is the headline to the CNN article. It says: “Most Americans believe New Orleans will never recover”. You know that is not the question they were most interested in. It’s kinda vague too, don’t you think? If you were just scanning headlines, you would never know about the results in regards to President Bush. Incredible.
The media will continue to fish for poll results that will show numbers for the President in an unfavorable light. Those results will be reported much more prominently than this poll is. You see, polls are used by the media as weapons for political propoganda. They just try, try again and tweak the questions until they get the result they are looking for. Then they report it as hard news. The way they report the results can also easily mislead.
Food For Thought:
Is the media using this book as their playbook? This quote is from a book that dates way back to 1954:
“The secret language of statistics, so appealing in a fact-minded culture, is employed to sensationalize, inflate, confuse, and oversimplify. Statistical methods and statistical terms are necessary in reporting the mass data of social and economic trends, business conditions, ‘opinion’ polls, the census. But without writers who use the words with honesty and understanding and readers who know what they mean, the result can only be semantic nonsense.”
Author of How to Lie With Statistics