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idea was open source mining analysis and a half a million dollars was put on the table for the winner. The challenge was to nd the best way to nd 6 million ounces of gold in an area a little under 80 square miles. More than a thousand geologists submitted plans and the top three took the prizes. But the winner was US Gold Corp. and Lexam Explorations Inc. They are now unearthing 500,000 ounces of gold a year at a cost of $60 per ounce. Crowdsourcing worked well for them. You can use crowdsourcing for product ideas, customer service, television ads, usability studies, it doesn t matter. Just be sure you have a standard method to measure the response and the outcome. If it goes viral, that s great but if it produces no results then it was just a PR stunt and even then it may not have improved your company s image. Measuring the value of ideas is a very long-term prospect, even longer than customer lifetime value. So where do we stand You ve got goals. You ve got a way to measure your audience reach. You ve got a way to identify and measure in uence. You ve got a way to recognize and measure sentiment. You ve got a way to listen and measure what you hear. You ve got a way to measure response and business outcomes. All you need to do now is convince the people with their hands on the budget that this is a good idea.



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the identi cation of the kind of scaling is made by interpreting the estimated value in the context of the observed range. These different aspects of the aims and use of the logscale diagram are expanded upon next. 2.3.1.2 The Detection of Scaling A priori it is not known over which scales, if any, a scale-invariant property may exist. By the detection of scaling in the logscale diagram we mean the identi cation of region(s) of alignment and the determination of their lower and upper cutoff octaves, j1 and j2, respectively, which are taken to correspond to scaling regimes. In a sense this is an insoluble problem, as scaling often occurs asymptotically or has an asymptotic de nition, with no clear way to de ne how a scaling range begins or ends. Nonetheless experience shows that good estimates are possible. Note the semantic difference between the term scaling region or range, a theoretical concept that refers to where scaling is truly present (an unknown in real data), and alignment region or range, an estimation concept corresponding to what is actually observed in the logscale diagram for a given set of data. The rst essential point here is that the concept of alignment is relative to the con dence intervals for the yj , and not to a close alignment of the yj themselves. Indeed, an undue alignment of the actual estimates yj indicates strong correlations between them, a highly undesirable feature typical of time domain log log based methods such as variance time plots. As mentioned earlier the mj , and hence the yj , are weakly dependent, resulting in a natural and desirable variation around





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the calculated regression line as seen, for example, in Fig 22 Using weighted regression incorporates the varying con dence intervals into the estimation phase; however, the selection of the range of scales de ning the alignment region is prior to this, and great care is required to avoid poor decisions We now discuss the selection, in practice, of the cutoff scales j1 and j2 A preliminary comment is that for the regression to be well de ned at least two scales are required, for a Chi-squared goodness of t test three, and in practice four, are needed before any estimate can be taken seriously: it is simply too easy for three points to align fortuitously if the con dence intervals are not very small.

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