With super crunching and data analysis physicians have more access to data than they ever had before. However perhaps due to old traditions and habits dying hard physicians are reluctant to truly follow the analysis and data that super crunching brings. One significant example the book brings up on Super crunching helping the medical field is with Don Berwick and his campaign to save 100,000 lives. Don Berwick based his campaign on the use of “evidence-based machine” (EBM). The idea was that the treatment given should be the best treatment, the best treatment would be determined from past data analysis. Although the idea of EBM wasn’t to solely rely on statistics it should certainly play a major factor in decisions used by doctors and physicians.
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With data analysis media associations are able to select personalized news for individuals and find advertisements that people will like. One specific underlying example of taking data analysis to the extreme is in movie making. In the movie industry Epagogix is an epitome of what happens when perhaps statistical analysis is too involved into the arts and social media aspect.
It is certainly true that film producers and companies want to make great movies and produce huge revenues and be successful. However, great movies come from the artistic and talented mind of directors, producers, and script writers to bring a story to life. Epagogix on the other hand, is a company that uses an algorithm to produce the best movie possible. While this may sound like a good idea this leads to less diversification as the audience is only given same specific materials. A huge downside as Ayres states is we “have begun to live in a world where a statistical formula tells authors what to put in their scripts.” (187) While making money is an important and data analysis definitely does not help, there are some fields that data shouldn’t be cooperated. Such fields would be in the film industries and the …show more content…
One example that the book gives is in “May 2006, […] more than 17.5 million military veterans when electronic records containing their Social security numbers [...] were stolen from a government employee’s home.” This shows that although digitalization and data keeping has made it much more efficient for companies and governments to keep track it has become a bigger issue when just a single missing computer of a snafu could lead to the threat of identification in a
With data analysis media associations are able to select personalized news for individuals and find advertisements that people will like. One specific underlying example of taking data analysis to the extreme is in movie making. In the movie industry Epagogix is an epitome of what happens when perhaps statistical analysis is too involved into the arts and social media aspect.
It is certainly true that film producers and companies want to make great movies and produce huge revenues and be successful. However, great movies come from the artistic and talented mind of directors, producers, and script writers to bring a story to life. Epagogix on the other hand, is a company that uses an algorithm to produce the best movie possible. While this may sound like a good idea this leads to less diversification as the audience is only given same specific materials. A huge downside as Ayres states is we “have begun to live in a world where a statistical formula tells authors what to put in their scripts.” (187) While making money is an important and data analysis definitely does not help, there are some fields that data shouldn’t be cooperated. Such fields would be in the film industries and the …show more content…
One example that the book gives is in “May 2006, […] more than 17.5 million military veterans when electronic records containing their Social security numbers [...] were stolen from a government employee’s home.” This shows that although digitalization and data keeping has made it much more efficient for companies and governments to keep track it has become a bigger issue when just a single missing computer of a snafu could lead to the threat of identification in a