Asher Meir points us to this post by Christie Aschwanden entitled, “Can Teamwork Solve One Of Psychology’s Biggest Problems?”, which begins: Psychologist Christopher Chartier admits to a case of “physics envy.” That field boasts numerous projects on which international research teams come together to tackle big questions. Just think of CERN’s Large Hadron Collider or […]
Brad Groff writes: Thought you might find this post by Ferenc Huszar interesting. Commentary on how we create knowledge in machine learning research and how we resolve benchmark results with (belated) theory. Key passage: You can think of “making a a deep learning method work on a dataset” as a statistical test. I would argue […]
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Under the heading, “please blog about this,” Shravan Vasishth writes: This book by a theoretical physicist [Sabine Hossenfelder] is awesome. The book trailer is here. Some quotes from her blog: “theorists in the foundations of physics have been spectacularly unsuccessful with their predictions for more than 30 years now.” “Everyone is happily producing papers in […]
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(This is Dan) As conference season rolls into gear, I thought I’d write a short post contrasting some responses by statistical societies to the conversation that the community has been having about harassment of women and minorities at workshops and conferences. ISI: Do what I say, not what I do Let’s look at a different diversity […]
Abigail Haddad writes: In
The post Do women want more children than they end up having? appeared first on Statistical Modeling, Causal Inference, and Social Science.
Following on a post on Tom Wolfe’s evolution-denial trolling, Thanatos Savehn pointed to this obituary, “Jerry A. Fodor, Philosopher Who Plumbed the Mind’s Depths, Dies at 82,” which had lots of interesting items, including this: “We think that what is needed,” they wrote, “is to cut the tree at its roots: to show that Darwin’s […]
The post A style of argument can be effective in an intellectual backwater but fail in the big leagues—but maybe it’s a good thing to have these different research communities appeared first on Statistical Modeling, Causal Inference, and Social Science.
Palko writes: The postwar era (roughly defined here as 1945 to 1970) was a period of such rapid and ubiquitous technological and scientific advances that people naturally assumed that this rate of progress would continue or even accelerate. This led not just futurists like Arthur C Clarke but also researchers in the fields to underestimate […]
The post We’re putting together a list of big, high profile goals that proved far more challenging than people had anticipated circa 1970 appeared first on Statistical Modeling, Causal Inference, and Social Science.