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Docta Ignorantia – quas lacrimas peperere minoribus nostris!
One minor advantage of cultural homogeneity is that it gives you tools to figure out exactly how ignorant a society’s authors and intellectuals truly were. In an era when the pool of books written on any given topic was small, then if someone says something quirky we can eventually, given enough time and coffee, figure out exactly where he got his quirky ideas from.

...

However it may be, Schelling was a genius, and his contemporaries recognized his genius at an early age and rewarded it. For us this may be slightly difficult to parse, at first: how can you recognize the intellectual talent of a man — of a boy, really — who is in fact deeply ignorant of his own field, philosophy? How can you make him a professor and expect him to lecture on what he has only just started to study?

In our already-degenerate culture, talent has become synonymous with grinding. Having no common standards for the good, the beautiful, and the true, we have no easy way to judge whether someone who disagrees with us is far-sighted or short-sighted. (Imagine looking at Monet’s haystacks for the very first time.) With no consensus on the questions that matter, to seek standards for expertise we have no choice but to turn to the things that don’t matter: the raw mass of (relatively) uncontroversial background material that anyone hoping to become an expert on a certain subject would find useful.
gnon  canon  literature  big-peeps  philosophy  reflection  culture  society  prioritizing  studying  info-foraging  history  early-modern  germanic  ranking  info-dynamics  cultural-dynamics  diversity  unintended-consequences  community  track-record  letters  academia  rot  homo-hetero  matching  virtu  egalitarianism-hierarchy  communication  explore-exploit  memetics 
january 2018 by nhaliday
When to Drop a Bombshell | The Review of Economic Studies | Oxford Academic
Sender, who is either good or bad, wishes to look good at an exogenous deadline. Sender privately observes if and when she can release a public flow of information about her private type. Releasing information earlier exposes to greater scrutiny, but signals credibility. In equilibrium bad Sender releases information later than good Sender. We find empirical support for the dynamic predictions of our model using data on the timing of US presidential scandals and US initial public offerings. In the context of elections, our results suggest that October Surprises are driven by the strategic behavior of bad Sender.
study  polisci  government  institutions  democracy  media  propaganda  info-dynamics  models  GT-101  elections  tactics 
december 2017 by nhaliday
The Gelman View – spottedtoad
I have read Andrew Gelman’s blog for about five years, and gradually, I’ve decided that among his many blog posts and hundreds of academic articles, he is advancing a philosophy not just of statistics but of quantitative social science in general. Not a statistician myself, here is how I would articulate the Gelman View:

A. Purposes

1. The purpose of social statistics is to describe and understand variation in the world. The world is a complicated place, and we shouldn’t expect things to be simple.
2. The purpose of scientific publication is to allow for communication, dialogue, and critique, not to “certify” a specific finding as absolute truth.
3. The incentive structure of science needs to reward attempts to independently investigate, reproduce, and refute existing claims and observed patterns, not just to advance new hypotheses or support a particular research agenda.

B. Approach

1. Because the world is complicated, the most valuable statistical models for the world will generally be complicated. The result of statistical investigations will only rarely be to  give a stamp of truth on a specific effect or causal claim, but will generally show variation in effects and outcomes.
2. Whenever possible, the data, analytic approach, and methods should be made as transparent and replicable as possible, and should be fair game for anyone to examine, critique, or amend.
3. Social scientists should look to build upon a broad shared body of knowledge, not to “own” a particular intervention, theoretic framework, or technique. Such ownership creates incentive problems when the intervention, framework, or technique fail and the scientist is left trying to support a flawed structure.

Components

1. Measurement. How and what we measure is the first question, well before we decide on what the effects are or what is making that measurement change.
2. Sampling. Who we talk to or collect information from always matters, because we should always expect effects to depend on context.
3. Inference. While models should usually be complex, our inferential framework should be simple enough for anyone to follow along. And no p values.

He might disagree with all of this, or how it reflects his understanding of his own work. But I think it is a valuable guide to empirical work.
ratty  unaffiliated  summary  gelman  scitariat  philosophy  lens  stats  hypothesis-testing  science  meta:science  social-science  institutions  truth  is-ought  best-practices  data-science  info-dynamics  alt-inst  academia  empirical  evidence-based  checklists  strategy  epistemic 
november 2017 by nhaliday
Lynn Margulis | West Hunter
Margulis went on to theorize that symbiotic relationships between organisms are the dominant driving force of evolution. There certainly are important examples of this: as far as I know, every complex organism that digests cellulose manages it thru a symbiosis with various prokaryotes. Many organisms with a restricted diet have symbiotic bacteria that provide essential nutrients – aphids, for example. Tall fescue, a popular turf grass on golf courses, carries an endosymbiotic fungus. And so on, and on on.

She went on to oppose neodarwinism, particularly rejecting inter-organismal competition (and population genetics itself). From Wiki: [ She also believed that proponents of the standard theory “wallow in their zoological, capitalistic, competitive, cost-benefit interpretation of Darwin – having mistaken him… Neo-Darwinism, which insists on [the slow accrual of mutations by gene-level natural selection], is in a complete funk.”[8] ‘

...

You might think that Lynn Margulis is an example of someone that could think outside the box because she’d never even been able to find it in the first place – but that’s more true of autistic types [like Dirac or Turing], which I doubt she was in any way. I’d say that some traditional prejudices [dislike of capitalism and individual competition], combined with the sort of general looniness that leaves one open to unconventional ideas, drove her in a direction that bore fruit, more or less by coincidence. A successful creative scientist does not have to be right about everything, or indeed about much of anything: they need to contribute at least one new, true, and interesting thing.

https://westhunt.wordpress.com/2017/11/25/lynn-margulis/#comment-98174
“A successful creative scientist does not have to be right about everything, or indeed about much of anything: they need to contribute at least one new, true, and interesting thing.” Yes – it’s like old bands. As long as they have just one song in heavy rotation on the classic rock stations, they can tour endlessly – it doesn’t matter that they have only one or even no original members performing. A scientific example of this phenomena is Kary Mullins. He’ll always have PCR, even if a glowing raccoon did greet him with the words, “Good evening, Doctor.”

Nobel Savage: https://www.lrb.co.uk/v21/n13/steven-shapin/nobel-savage
Dancing Naked in the Mind Field by Kary Mullis

jet fuel can't melt steel beams: https://westhunt.wordpress.com/2017/11/25/lynn-margulis/#comment-98201
You have to understand a subject extremely well to make arguments why something couldn’t have happened. The easiest cases involve some purported explanation violating a conservation law of physics: that wasn’t the case here.

Do I think you’re a hotshot, deeply knowledgeable about structural engineering, properties of materials, using computer models, etc? A priori, pretty unlikely. What are the odds that you know as much simple mechanics as I do? a priori, still pretty unlikely. Most likely, you’re talking through your hat.

Next, the conspiracy itself is unlikely: quite a few people would be involved – unlikely that none of them would talk. It’s not that easy to find people that would go along with such a thing, believe it or not. The Communists were pretty good at conspiracy, but people defected, people talked: not just Whittaker Chambers, not just Igor Gouzenko.
west-hunter  scitariat  discussion  people  profile  science  the-trenches  innovation  discovery  ideas  turing  giants  autism  👽  bio  evolution  eden  roots  darwinian  capitalism  competition  cooperate-defect  being-right  info-dynamics  frontier  curiosity  creative  multi  poast  prudence  org:mag  org:anglo  letters  books  review  critique  summary  lol  genomics  social-science  sociology  psychology  psychiatry  ability-competence  rationality  epistemic  reason  events  terrorism  usa  islam  communism  coordination  organizing  russia  dirty-hands  degrees-of-freedom 
november 2017 by nhaliday
The Automated Public Sphere by Frank Pasquale :: SSRN
This article first describes the documented, negative effects of online propagandists’ interventions (and platforms’ neglect) in both electoral politics and the broader public sphere (Part I). It then proposes several legal and educational tactics to mitigate platforms’ power, or to encourage or require them to exercise it responsibly (Part II). The penultimate section (Part III) offers a concession to those suspicious of governmental intervention in the public sphere: some regimes are already too authoritarian or unreliable to be trusted with extensive powers of regulation over media (whether old or new media), or intermediaries. However, the inadvisability of extensive media regulation in disordered societies only makes this agenda more urgent in well-ordered societies, lest predictable pathologies of the automated public sphere degrade their processes of democratic will formation.
study  media  propaganda  info-dynamics  internet  automation  bots  social  facebook  google  tech  politics  polisci  law  rhetoric  regulation  madisonian 
november 2017 by nhaliday
Friedrich von Hayek, “The Use of Knowledge in Society” (1945)
“The price system is just one of those formations which man has learned to use ... Through it not only a division of labor but also a coördinated utilization of resources based on an equally divided knowledge has become possible.”

“there is beyond question a body of very important but unorganized knowledge which cannot possibly be called scientific in the sense of knowledge of general rules: the knowledge of the particular circumstances of time and place. It is with respect to this that practically every individual has some advantage over all others because he possesses unique information of which beneficial use might be made”
pdf  org:junk  org:ngo  randy-ayndy  essay  big-peeps  economics  rhetoric  classic  markets  capitalism  coordination  info-dynamics  knowledge  bounded-cognition  supply-demand  decentralized  civil-liberty  institutions  quotes  reason 
november 2017 by nhaliday
“It could turn ugly”: Selective disclosure of attitudes in political discussion networks - ScienceDirect
We find Americans are more likely to share their opinions with friends and family rather than co-workers and they are more likely to share their opinions on more salient topics. More importantly, they withhold their political attitudes specifically from those with whom they disagree in an attempt to avoid conflict. This produces the experience of highly homogeneous social contexts, in which only liberal or conservative views are voiced, while dissent remains silent, and oftentimes goes unacknowledged. This experience is not the result of homogeneous social contexts but the appearance of them. Paradoxically, the mechanism of selective disclosure, whose goal is to prevent conflict at the micro-level, might lead to the perception of greater division in the larger society.
study  polisci  politics  polarization  roots  network-structure  info-dynamics  realness  homo-hetero  truth  integrity  hypocrisy  preference-falsification  unintended-consequences  tribalism  impro  dark-arts  open-closed  memetics 
november 2017 by nhaliday
How many laypeople holding a popular opinion are needed to counter an expert opinion?: Thinking & Reasoning: Vol 0, No 0
Although lay opinions and expert opinions have been studied extensively in isolation, the present study examined the relationship between the two by asking how many laypeople are needed to counter an expert opinion. A Bayesian formalisation allowed the prescription of this quantity. Participants were subsequently asked to assess how many laypeople are needed in different situations. The results demonstrate that people are sensitive to the relevant factors identified for determining how many lay opinions are required to counteract a single expert opinion. People's assessments were fairly good in line with Bayesian predictions.
study  psychology  social-psych  learning  rationality  epistemic  info-foraging  info-dynamics  expert  bayesian  neurons  expert-experience  decision-making  reason 
october 2017 by nhaliday
Living with Ignorance in a World of Experts
Another kind of track record that we might care about is not about the expert’s performance, qua expert, but about her record of epistemic integrity. This will be important for helping provide reasonably well supported answers to (Q3) and (Q4) in particular. Anderson (2011) offers some related ideas in her discussion of “criteria for judging honesty” and “criteria for judging epistemic responsibility.” Things we might be interested include the following:
• evidence of previous expert-related dishonesty (e.g. plagiarism, faking data)
• evidence of a record of misleading statements (e.g. cherry-picking data, quotations out of context)
• evidence of a record of misrepresenting views of expert opponents
• evidence of evasion of peer-review or refusal to allow other experts to assess work
• evidence of refusal to disclose data, methodology, or detailed results
• evidence of refusal to disclose results contrary to the expert’s own views
• evidence of “dialogic irrationality”: repeating claims after they have been publicly refuted, without responding to the refutations
• evidence of a record of “over-claiming” of expertise: claiming expertise beyond the expert’s domain of expertise
• evidence of a record of “lending” one’s expertise to support other individuals or institutions that themselves lack epistemic integrity in some of the above ways
• evidence of being an “opinion for hire”—offering expert testimony for pay, perhaps particularly if that testimony conflicts with other things the expert has said
pdf  essay  study  philosophy  rationality  epistemic  info-dynamics  westminster  track-record  checklists  list  tetlock  expert  info-foraging  sleuthin  metabuch  meta:rhetoric  integrity  honor  crooked  phalanges  truth  expert-experience  reason  decision-making 
september 2017 by nhaliday

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