Collaborative Data Science – Inside the 2016 Verizon DBIR Vulnerability Section. – Kenna Blog < excellent responsehttp://blog.kennasecurity.com/2016/05/collaborative-data-science-inside-the-2016-verizon-dbir-vulnerability-section/ …
@wadebaker Not seeing 'science', and they are only enumerating the huge problems with the methodology.
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@attritionorg really? I'm seeing hypothesis, stated methodology, data collection, test, pub results, refine hyp/method/model, retest, repub -
@wadebaker i believe you are 'seeing' a lot of that via assumption and extrapolation, and some not there (retest unless you bend meaning) -
@attritionorg pretty sure he retested w/ a diff model after input & came out w diff results. If you don't agree w them; post DATA to refute. -
@wadebaker@attritionorg FWIW, a fundamental part of the scientfc prcss is to build upon/course corrct nascent/foundational wrk vs tear down -
@hrbrmstr@wadebaker why has our industry suddenly started calling peer review "tearing down" and "bullying"? i'm so confused. -
@attritionorg@wadebaker It's the tone, form and medium, amongst other things. -
@hrbrmstr@wadebaker a blog asking questions w/o personal attack on a 10+ year old site specializing in vuln aggregation isn't appropriate? -
@attritionorg@wadebaker You can do anything you like. But the tone and content isn't helping move our industry forward IMO. ¬ - 6 more replies
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