politicomind
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I recently debate without someone that relied excessively upon the need for empirical data to be convinced of even the most common sensical things:
Here are some instances when empirical data has been used fraudulently or erroneously:
1. In the two years prior to the Atlanta Olympic Games the police managed to erase 22,000 violent crimes and property crimes to make atlanta seem like a suitable place to hold the olympics.
2. In a town north of pittsburgh during their bid to get a walmart, the police were instructed not to arrest small drug offenses only large dealers, because ten arrests of one ounce is still only ten ounces, but one large dealer may be an arrest of fifty ounces. Yet the small arrests looks like there are ten times more drug offenses than the single large drug arrest because ounces are not counted in statistics. The small town north of pittsburgh finally got its walmart but when walmart needed to hire 200 people only 110 could pass the drug test. But walmart was already dug in so it was too late for them to back out of the deal. The walmart had such a problem finding and keeping people that it discontinued its drug testing as a requirement for employment and now only uses drug testing in case of an injury. This practice of only arresting the large dealers was recently pointed out on "the wire" but for a different motivation. There motivation was to not waste TIME on the small dealers.
3. "the unhappy housewives survey" of the seventies was ridiculed because it was a mail in survey which asked housewives to estimate the quality of the marriage. Yet, the outcome was the only unhappy women responded to the survey. Yet, the conductor of the survey didn't use common sense that a disproportionate amount of women who were in unhappy marriages would respond, while the happy women wouldn't waste their time because they would merely write: Yup, I'm happy and there would be nothing left to do with the survey which involved questions like, "how many times do you think your husband cheated on you." "how many times have you cheated on your husband." The survey creators should have realized that happy marriage people would answer zero to all of these and then would not want to waste time filling out the survey. IN the mid seventies the survey was broadcast on the news and then a few weeks later was ridiculed for having poor methodology.
4. A non-profit research group was slapped on the wrist for manufacturing surveys and results that they never conducted. They merely published the survey resutls as if they had asked a thousand people, but they didn't ask any one. It was the common sense suspicion of the people who read the results and thought "that doesn't sound right." When asked to get their data, the phoenix non-profit failed to provide any methodological data. Because it falls under freedom of speech, they could not be punished.
5. A girl that I went to college worked for a VERY REPUTABLE LARGE stock market research website. But the websited lost historical data on many of its largest companies. it was her job to go day by day week by week over a statistical span of twelve years, from 1990 to 2002 and merely make up the daily stock quote numbers of over thirty major top name stocks.
this is what she did all day monday stock high 19.5 stock low 18.7 tuesday stock high 20.1 stock low 19.3. PURE FABRICATION. She simply invented numbers from 1990-2002.
Now you can realize the damage that this could cause, because people are taught to look at a stocks past trends to see how it will fare in the future. So if a stock looked erratic in the past, it would be erratic in the future. But not if a college intern is making up the former stock quotes. I truly wonder how many people made bad decisions off of her fabricating.
6. The daily show in 2004 made a joking statement in response to finding out that almost 40% of people said they got there news from comedy news shows. and almost word for word john daily said: DON'T DO THAT PEOPLE. WE'RE MAKING THIS STUFF UP. In response to his book America which is full of mimic charts graphs and surveys like "Do you want to answer this survey" (YES NO NOT SURE) critics actually claimed that some of his surveys and data looked made up. John Daily responded, of course it is... its a comedy book. The point is that people are so anxious to accept data, that they even accept the joking data.
7. In Cuyahoga Falls, Ohio, 65,000 votes were counted, and of course they were in favor of GW, because .... only 55 000 people live in Cuyahoga Falls. This story was on the Keith Oberman and surprisingly nothing was done. Even election data is made up. 10 thousand more people vote, than are alive in cuyahoga falls. Not to name all of the deceased people that voted for good ole GW.
Ultimately there is danger in taking data at face value, especially when common sense, conviction, rational gesture indicates otherwise.
8. My school newspaper falsely reported that 32% of people in the US are paid at unemployment. In a hallway debate session a fellow student quoted the 32% as fact. I contended that the number was absurb. I have met thousands of people and a third of them were not working at minimum wage. When I contacted the paper they said it was a typo, while pressing the number two the writer also actually typed the three and no one caught it as a type.
So finally my point is that intelligent intuition, common sense, and rationality should prevail over simple data, which may have been deliberately frauded, accidentally mistyped, mistaken in their methodology or purposefully a joke. To demand data over common sense and the imaginative perseption of the truth is disobey einstein's principle that "Imagination is more important than knowledge.'' especially if that knowledge is wrong
Here are some instances when empirical data has been used fraudulently or erroneously:
1. In the two years prior to the Atlanta Olympic Games the police managed to erase 22,000 violent crimes and property crimes to make atlanta seem like a suitable place to hold the olympics.
2. In a town north of pittsburgh during their bid to get a walmart, the police were instructed not to arrest small drug offenses only large dealers, because ten arrests of one ounce is still only ten ounces, but one large dealer may be an arrest of fifty ounces. Yet the small arrests looks like there are ten times more drug offenses than the single large drug arrest because ounces are not counted in statistics. The small town north of pittsburgh finally got its walmart but when walmart needed to hire 200 people only 110 could pass the drug test. But walmart was already dug in so it was too late for them to back out of the deal. The walmart had such a problem finding and keeping people that it discontinued its drug testing as a requirement for employment and now only uses drug testing in case of an injury. This practice of only arresting the large dealers was recently pointed out on "the wire" but for a different motivation. There motivation was to not waste TIME on the small dealers.
3. "the unhappy housewives survey" of the seventies was ridiculed because it was a mail in survey which asked housewives to estimate the quality of the marriage. Yet, the outcome was the only unhappy women responded to the survey. Yet, the conductor of the survey didn't use common sense that a disproportionate amount of women who were in unhappy marriages would respond, while the happy women wouldn't waste their time because they would merely write: Yup, I'm happy and there would be nothing left to do with the survey which involved questions like, "how many times do you think your husband cheated on you." "how many times have you cheated on your husband." The survey creators should have realized that happy marriage people would answer zero to all of these and then would not want to waste time filling out the survey. IN the mid seventies the survey was broadcast on the news and then a few weeks later was ridiculed for having poor methodology.
4. A non-profit research group was slapped on the wrist for manufacturing surveys and results that they never conducted. They merely published the survey resutls as if they had asked a thousand people, but they didn't ask any one. It was the common sense suspicion of the people who read the results and thought "that doesn't sound right." When asked to get their data, the phoenix non-profit failed to provide any methodological data. Because it falls under freedom of speech, they could not be punished.
5. A girl that I went to college worked for a VERY REPUTABLE LARGE stock market research website. But the websited lost historical data on many of its largest companies. it was her job to go day by day week by week over a statistical span of twelve years, from 1990 to 2002 and merely make up the daily stock quote numbers of over thirty major top name stocks.
this is what she did all day monday stock high 19.5 stock low 18.7 tuesday stock high 20.1 stock low 19.3. PURE FABRICATION. She simply invented numbers from 1990-2002.
Now you can realize the damage that this could cause, because people are taught to look at a stocks past trends to see how it will fare in the future. So if a stock looked erratic in the past, it would be erratic in the future. But not if a college intern is making up the former stock quotes. I truly wonder how many people made bad decisions off of her fabricating.
6. The daily show in 2004 made a joking statement in response to finding out that almost 40% of people said they got there news from comedy news shows. and almost word for word john daily said: DON'T DO THAT PEOPLE. WE'RE MAKING THIS STUFF UP. In response to his book America which is full of mimic charts graphs and surveys like "Do you want to answer this survey" (YES NO NOT SURE) critics actually claimed that some of his surveys and data looked made up. John Daily responded, of course it is... its a comedy book. The point is that people are so anxious to accept data, that they even accept the joking data.
7. In Cuyahoga Falls, Ohio, 65,000 votes were counted, and of course they were in favor of GW, because .... only 55 000 people live in Cuyahoga Falls. This story was on the Keith Oberman and surprisingly nothing was done. Even election data is made up. 10 thousand more people vote, than are alive in cuyahoga falls. Not to name all of the deceased people that voted for good ole GW.
Ultimately there is danger in taking data at face value, especially when common sense, conviction, rational gesture indicates otherwise.
8. My school newspaper falsely reported that 32% of people in the US are paid at unemployment. In a hallway debate session a fellow student quoted the 32% as fact. I contended that the number was absurb. I have met thousands of people and a third of them were not working at minimum wage. When I contacted the paper they said it was a typo, while pressing the number two the writer also actually typed the three and no one caught it as a type.
So finally my point is that intelligent intuition, common sense, and rationality should prevail over simple data, which may have been deliberately frauded, accidentally mistyped, mistaken in their methodology or purposefully a joke. To demand data over common sense and the imaginative perseption of the truth is disobey einstein's principle that "Imagination is more important than knowledge.'' especially if that knowledge is wrong