Links 12/29/14

Links for you. Science:

Gates’ strict open access policy may have domino effect
Protecting a Home Where the Puffer Fish Roam in Biscayne National Park
Addressing Type 2 Diabetes: An Immodest Proposal
Is DNA barcoding dead?
Cause And Effect: The Revolutionary New Statistical Test That Can Tease Them Apart (paper here)
Why is reporting on health and science so bad? Because the reporters can’t do their jobs.
Here’s how pearlfish call to each other from inside the bodies of other living animals

Other:

Not All Nerds
And D.C.’s Current Population Is…
The ‘New York Times’ Is Hooked on Drug du Jour Journalism
No, Marion Barry Was Not a Great Mayor: Barry had an unprecedented chance to help his poorest and most loyal constituents. His record shows he let the opportunity escape (my thoughts on Barry here)
The Police Union’s Irresponsible Reaction To Shooting Of Two NYPD Officers
A Weimar-y Vibe
How to Survive a Cop Coup: What Bill de Blasio Can Learn From Ecuador
Why Scrooge is an anti-capitalist hero, bravely resisting the commercialisation of Christmas
Ebola Dragnet Has Lots of Holes: False reports and a lack of health care complicate Sierra Leone’s attempt to round up Ebola-positive individuals
I’m Sorry I Was Such A Racist Asshole
India lawmakers demand Modi speak on mass conversion to Hinduism (that Modi was elected to head the largest democracy in the world seems to have gone unremarked overall)
Infrastructure advances in the rest-of-the-world will blow your mind.
Chase’s record-breaking hack was caused by an oversight, not technical wizardry (like the Provos used to say, they only have to get lucky once…)
Black flags and Christmas lights: a letter from Beirut. The assumption here is that Lebanon will be the next place the jihadis target

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1 Response to Links 12/29/14

  1. rijkswaanvijand says:

    You’ve been repeating links regularly lately
    e.g.: https://medium.com/the-physics-arxiv-blog/cause-and-effect-the-revolutionary-new-statistical-test-that-can-tease-them-apart-ed84a988e
    Which doesn’t live up to its promise by the way; works only for rather simple datasets and has far from 100% accuracy.
    I guess “cause and effect the (not so) revolutionary new statistical test that still can’t actually tease them apart” would be a better title. Then again, it does sound a somewhat less attractive read.

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