Remove 2009 Remove Big Data Remove Statistics Remove Uncertainty
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New Thinking, Old Thinking and a Fairytale

Peter James Thomas

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. Here we come back to the upward trend in searches for Data Science. King was a wise King, but now he was gripped with uncertainty. – McKinsey 2009. . [6].

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Remember that the raw number is not the only important part, we would also measure statistical significance. Airbnb had enough data points to be confident in their results. By late 2009, that experiment was a success, too; they'd climbed back up to 4.5 They might deal with uncertainty, but they're not random.

Metrics 156
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Fact-based Decision-making

Peter James Thomas

I explore some similar themes in a section of Data Visualisation – A Scientific Treatment. Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7].

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?