Analyzing direct evidence: When an avalanche is actually a snow flurry

For quantifiable analysis, one must understand the basics of two concepts: standard deviation and expected (or acceptable) defect rate

Attorneys are often faced with the task of mining email and other documentary evidence in an attempt to gather sufficient examples that demonstrate something was seriously amiss in their opponents’ business. But when does one have enough statistically valid data to discover whether the information shows an avalanche or just a snow flurry?

For example, an attorney may want to demonstrate that the number of customer complaints, product failures or overcharges had become an “avalanche,” thereby warranting class status and perhaps special damages.

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Andy Kraftsow

RenewData’s Chief Scientist Andy Kraftsow leads the company’s efforts to develop groundbreaking technologies. Trained as a mathematician (and a CPA) Kraftsow is one of the...

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