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How Your Brain Lies with Confirmation Bias - D-brief
Clearly, our brains try to trick us with confirmation bias no matter how unimportant the decisions. But the paper’s other major finding speaks to just how that trickery works. Before, it wasn’t clear if making a decision means the brain will downplay all new information, confident it had already made a good choice, or if instead it actually filtered incoming data to emphasize supportive info and minimize contrary evidence.
bias  psychology  discovermagazine 
5 days ago by HispanicPundit
24 Cognitive Biases stuffing up your thinking
Cognitive biases make our judgments irrational. We have evolved to use shortcuts in our thinking, which are often useful, but a cognitive bias means there’s a kind of misfiring going on causing us to lose objectivity. This website has been designed to help you identify some of the most common biases stuffing up your thinking.
Click on the icons above to see full explanations on link-able pages e.g. yourbias.is/confirmation-bias and share this website to help make the world a more rational and thinky place:
philosophy  reference  bias  logicalthinking  scepticalthinking 
5 days ago by christianjunk
Thou shalt not commit logical fallacies
A logical fallacy is a flaw in reasoning. Logical fallacies are like tricks or illusions of thought, and they're often very sneakily used by politicians and the media to fool people. Don't be fooled! This website has been designed to help you identify and call out dodgy logic wherever it may raise its ugly, incoherent head. Rollover the icons above and click for examples. If you see someone committing a fallacy, link them to it e.g. yourlogicalfallacyis.com/strawman
philosophy  reference  bias  logicalthinking  scepticalthinking 
5 days ago by christianjunk
The Dictatorship of Data - MIT Technology Review
McNamara was a numbers guy. Appointed the U.S. secretary of defense when tensions in Vietnam rose in the early 1960s, he insisted on getting data on everything he could. Only by applying statistical rigor, he believed, could decision makers understand a complex situation and make the right choices. The world in his view was a mass of unruly information that—if delineated, denoted, demarcated, and quantified—could be tamed by human hand and fall under human will. McNamara sought Truth, and that Truth could be found in data. Among the numbers that came back to him was the “body count.”
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oh yeah, this is classic:
"McNamara rose swiftly up the ranks, trotting out a data point for every situation. Harried factory managers produced the figures he demanded—whether they were correct or not. When an edict came down that all inventory from one car model must be used before a new model could begin production, exasperated line managers simply dumped excess parts into a nearby river. The joke at the factory was that a fellow could walk on water—atop rusted pieces of 1950 and 1951 cars."
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big-data  data-analysis  stats  bias  history  methodology  argument 
6 days ago by kmt
The Mythos of Model Interpretability - ACM Queue
In machine learning, the concept of interpretability is both important and slippery.
articles  models  machine_learning  bias 
6 days ago by gmisra

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