The data clearly indicated that a nocebo effect, the same reaction that prompts some people to get sick from wind turbines and wireless internet, was at work here. Patients reported gastrointestinal distress without any apparent physical cause. Gluten wasn’t the culprit; the cause was likely psychological. Participants expected the diets to make them sick, and so they did.
Some nice real-world experimentation around large-scale data processing in differential dataflow:
If you wanted to do an iterative graph computation like PageRank, it would literally be faster to sort the edges from scratch each and every iteration, than to use unsorted edges. If you want to do graph computation, please sort your edges. Actually, you know what: if you want to do any big data computation, please sort your records. Stop talking sass about how Hadoop sorts things it doesn’t need to, read some papers, run some tests, and then sort your damned data. Or at least run faster than me when I sort your data for you.
this is starting to look quite impressive as a well-integrated Docker-meets-CI model; Shippable is basing its builds off Docker baselines and is automatically cutting Docker images of the post-CI stage. Must take another look