subject: 9 Out of 10 Doctors Agree [print this page] 9 Out of 10 Doctors Agree
99% of all statistics are made up, including this one.The problem with a lot of formulas is that the data you gather depends on past information. You gather it and by the time you parse it the answer you are given is an answer to a point in the past, not the present, or the future. So you have to re-evaluate and re-analyze and place it into a context that suits the present. In other words, the statistics are made up. Not exactly false, but really have no scientifically testable meaning. They are purely representative. A general idea of the data points.
You can say that the primary make up of any chocolate bar is- you guessed it, chocolate. You can't exactly redesign the chocolate bar as something completely new. It would be wasteful, fruitless, not to mention highly improbable. You can however alter the ingredients. You can use more cocoa, less cocoa, cocoa substitute, higher quality cocoa, a different strain of cocoa, cocoa hybrids. You can add in different artificial or natural flavors, you can wrap the chocolate around nougat and caramel and nuts and bam you've got a snickers bar, but nevertheless it remains part of the chocolate bar whole. Now to tie this back in to the main topic- the difference between creating a formula that sorts influencers as one might expect and creating a great service that can really accomplish something in the marketing world is similar.
What I'm trying to get you to walk away with here is accuracy is certainly important, but the end goal is to generate some data and appropriate that data with proper context and analysis so that companies have something they can use. You can make a great equation that crunches the numbers and spits out lots of names, but without the proper analysis, without the context it's meaningless to marketers.
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