The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 4 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Prediction Not checkable as stated
Mike Driscoll: Data-holding entities will win as algorithms move to data
“Analytics and algorithms are light. Data is very heavy. So the natural course of things will be that the algorithms will move to where the data lives. And the entities that have the data will ultimately win because of that strategic advantage”
Mike Driscoll Dec 5, 2013 ▶ 18:00 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Assertion Not checkable as stated
Mike Driscoll: Telcos hold the world's most powerfully predictive social graphs
“If you want to know who has the most powerfully predictive social graphs on the planet, it's the telcos, because who you call and who you text is an extraordinarily strong indicator of who you actually are connected to in a social way.”
Mike Driscoll Dec 5, 2013 ▶ 24:06 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Assertion Not checkable as stated
Mike Driscoll: Installing Hive on a Hadoop cluster increases usage by 10x
“Once you install Hive onto Hadoop cluster, usage of that cluster typically goes up by a factor of 10 because you lower the friction of getting data out of that system.”
Mike Driscoll Dec 5, 2013 ▶ 31:06 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Assertion Partly supported
Mike Driscoll: Big pharma R&D cuts create data science recruiting opportunities
“Most big pharma actually have turned, reduced their investment in R&D, and many of, it's a great place to recruit data scientists is out of these pharma R&D labs.”
Mike Driscoll Dec 5, 2013 ▶ 35:20 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
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