"For example, knowing that A students spend a certain number of hours in the library every week -- and eventually communicating that to students -- might motivate them to study there more often."
And thereby ruin the quiet place that your A students were using to hide from their classmates so they could get some work done. Well done!
Getting your failing students to be in the same physical locations as your successful ones is a laughably simplistic model for improving their study habits.
It didn't make _no_ difference; it presumable qunitupled their expenses...
"younger people are far more likely to engage in risky behavior like sharing their passwords to streaming services. The presumption that older workers pose more of a risk than younger workers is an example of so-called "aggregate bias," in which subjects make inferences about an individual based on a population trend."
Look, both confirmation bias and aggregate bias are real things, but you can't just throw the terms into a discussion anywhere and see if they stick. You've just said that studies have found that younger people are more prone to risky behavior. If I assume that that's true (I believe it, but you didn't give me any supporting evidence) then this is the exact opposite of aggregate bias - subjects are making inferences based upon their preconceived notions, in direct contradiction of population trends (which are that it should be younger people who are riskier.) It would be aggregate bias if, knowing what we now know, we assumed the guilt of specific young people based on the results of these studies you're telling us about.
And it's only confirmation bias if the people getting it wrong are supporting their position by picking and choosing data points where older people have risky behavior, and ignoring data where older people are secure and younger people are risky. Since you never say anything about any specific evidence gathering at all, it's not confirmation bias either. It's just ignoring all the evidence and making up the answer that you already believe; that's not confirmation bias, that's "lying".
Study Funded and Performed by Major Graphics Card Manufacturer Finds You Should Buy A New More-Expensive Graphics Card.
Yeah, that's definitely shocking.
"Only 12% percent responded that their organizations have a high level of competency with agile practices across the organization, and only 4% report that agile practices are enabling greater adaptability to market conditions.."
Look hi. I'm not going to comment about whether the Latest Greatest Fully-Buzzword-Compliant Management Trend is actually backed by reproduceable research or anything. I'm just going to comment about maths. If 12% of your respondents report a high level of competency in a system, and 4% report that that system is actually doing any good whatsoever... If we assume roughly equal levels of response to both questions then we have a system that, when implemented at "a high level of competency" self-reports that system as having a positive effect roughly 1 time in 3. Random chance should have a positive effect 1 time in 2. And self-reported success rates run notoriously high...
You know they're talking about Apple, right? The company whose mission statement is essentially "make stuff for people to stare at while walking instead of paying attention to their surroundings"?
Intel CPUs are not defective, they just act that way. -- Henry Spencer