Dead horses notwithstanding, I found this comment chuckle-worthy:
----------- Mary Mangan • 2016-05-19 02:51 AM Heh. Yeah--imagine making evidence-free (aka "impressionistic") claims in front of a room full of people who value evidence. Who could have predicted that? ----------- That was a comment on this article: http://www.nature.com/news/scientific-sceptics-hit-back-after-rebuke-1.19945?WT.mc_id=TWT_NatureNews On 05/19/2016 08:29 AM, glen ⛧ wrote: > For me, I tend to be a skeptic in my own field (modeling & simulation) and a contrarian outside it. And on this front, this article was also interesting: Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science http://pubsonline.informs.org/doi/10.1287/mnsc.2015.2285 "We find that evaluators systematically give lower scores to research proposals that are closer to their own areas of expertise and to those that are highly novel." In other words, Horgan's basing his talk on his "impressionistic view" of skeptics was just plain lazy. That doesn't make his contrarian assertions false, just fragile. -- ⛧ glen ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
uǝʃƃ ⊥ glen
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This is just kicking a dead scorpion ... 😁 Thanks Glen for the follow-up. The whole curfuffle brings critical thinking to the forefront, and that ain't bad. To me, skepticism is a science-oriented version of mindfulness--being mindful of misgrounded or ungrounded, inculcated beliefs. Yes, it does seem that Horgan was careless here and got caught in his own trap. The pack turned on this lone wolf. I'll have to check out this tNESS. As my profession was in operations research, I have been a frequenter to the Informs publications. The article on intellectual distance looks intriguing. Curious finding. Thanks! Have you read Averill Law's Simulation Modeling and Analysis? Makes a good reference too. Cheers. On Fri, May 20, 2016 at 10:00 AM, glen ⛧ <[hidden email]> wrote: Dead horses notwithstanding, I found this comment chuckle-worthy: ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com |
On 05/20/2016 10:11 AM, Robert Wall wrote:
> Have you read Averill Law's /Simulation Modeling and Analysis/? Makes a good reference too. Cheers. Not yet. I'm glad to hear you say that. I've been suspicious of Law's work because I get continual _spam_ from him (or his staff, or publishers of his work, ... or whoever). In general, I'm a fan of spam. It's co-evolution up front and personal. But when someone claims to be an expert in my field, a field that is notoriously horizontal, then not only makes that claim but _spams_ me on a regular basis, my normally cheery attitude turns negative. But with your recommendation (the 1st I've seen aside from the spam), I'll take a look. Thanks! -- glen ep ropella ⊥ 971-280-5699 ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com |
Yikes! I hope I didn't just add to your spam! 😕 Also, I didn't realize how much more it sells for now! My introduction to Law was through a seminar I attended in Washington DC where I was a consultant. His book was the textbook used in an M&S class I took at George Mason University for my MS in computational statistics. Also, I have used his ExpertFit software to feed stochastic simulations and to characterize output data. Works well. I agree with this review of the subject book: Law is about as authoritative as you can get for M&S / Operations Research and systems analysis (ORSA). If you are building a library or need a comprehensive reference for advanced studies or your analytic work, it is probably no surprise that this book would be highly recommended. Not necessarily for the lay person, you need some fundamental skills in mathematics, statistics, probability etc. to really leverage the information in this book. I used a previous version in graduate school 20 years ago and HAD to add this to my work reference library. The book is comprehensive in the math and statistics and design of experiments (DOE). My copy (silver cover) is likely dated [e.g., talks about MODSIM]. But the math hasn't changed. Having said this, I do remember Law as being very enterprising, let's say. Still, I was never really spammed or I just forgot or set up filters. Not sure. But, his book was a go-to reference for my work ... I especially used it for variance reduction when comparing alternatives, for example. Good stuff! Like a brain ravaged boxer, makes me want to come out of retirement ... again. 😎 On Fri, May 20, 2016 at 11:19 AM, glen ep ropella <[hidden email]> wrote: On 05/20/2016 10:11 AM, Robert Wall wrote: ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com |
One man's spam is another man's "valid content". For example, I learned this JavaScript trick from a ransomware attack I received awhile back:
> this["eval"]("console.log(\'hello\')") hello Anyway, because you _personally_ recommend the book, I'll finally take a look. On 05/20/2016 10:52 AM, Robert Wall wrote: > Yikes! I hope I didn't just add to your spam! 😕 -- glen ep ropella ⊥ 971-280-5699 ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com |
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