BC SOCIOLOGY
Saved by @WebbDarrrel

Heh, one thing the nyt piece managed was to do a Cunningham's law nerdsnipe-wmd at newspaper scale... now a bunch of people are energetically trying to post the right answer.

 IMO trying to correct whatever the NYT writer thought he knew/understood is futile. "Willing to be misunderstood by the NYT" should be the default stance unless you want to waste a lot of time correcting an obsolete 2013 map for people who don't care.
The thing is, the NYT still has enough normative cultural power, even as it has fallen from newspaper-of-record, that it takes a particular sort of heretical self-confidence to sort of ignore whatever they happen to be wrong about on any given week, whether or not it concerns you
A subtle shift has occurred in the workings of the Gell-Mann amnesia effect. It used to be an individual private amnesia re: media ("I'll believe myself when I am certain they got it wrong because I'm an expert, but still believe them when I am not"). Now it's a collective effect
A sort of common-knowledge threshold has been crossed lately. "Everybody knows that everybody knows the NYT is wrong on X across largish subcultures." It's no longer mutual beliefs being validated occasionally 1:1.
SV isn't the first to achieve this sort of collective bozobitting of the NYT... I think econtwitter got there first. Krugman is ok for the school of thought he represents, but "the economy according to the NYT" bears little resemblance to "the economy according to economists"
It's very patchy though. The internal culture war they have going on between the old guard and the entryist upstarts who've made inroads has left some coverage areas/beats untouched, torched other areas entirely, and left other areas in some sort of partisan-controlled state
It would be interesting to see a map of say several dozen major areas/beats, with a map of current control state.
A couple of years ago, a journalist (with a different bias) got in touch with me in pursuit of this kind of feature for another major newspaper. I gave him a couple of hours time and also directed him to a representative sampling of friends across the map. That piece got axed.
He was a sincere, thoughtful guy, and though I didn't quite like the tack he was planning to take, I thought he approached the matter with enough good faith to help out. What I did't anticipate was how hard it would be to simply convey the rawest of basics.
Ie, dramatis personae, major events and schisms, my own take on people/threads (being careful to separate information from opinion). But despite my effort, when he tried to recap for me to confirm he'd understood, I realized he hadn't. A lot of subtle distortions had crept it.
There was no malice... just the deep difficulty of trying to convey an inside view of a cultural narrative to an outside view informed by a pre-existing motivated perspective (which isn't a bad thing -- it's inevitable... the key is to be aware of it try to account for it)
That experience convinced me to adopt the "willing to be misunderstood" stance. Explaining yourself is far harder than merely setting up basic defenses against hostile/malicious misunderstandings.
CNN shares a basic positioning with the NYT, but has so far remained relatively free of the dynamics that have taken over the latter. I think because a) they are TV-centric and b) less insular via a revolving door relationship with a broader sample of establishment center-left.
The TV-centric newsroom of CNN meant they avoided subscription-paywell perverse incentive, and also avoided opening a door to the new-media grifter class in an attempt to be clickbait-relevant. Their's is a more familiar sort of old-school cronyist set of biases we can roll with
The only real comparable to NYT is Fox. What talk-radio did to Fox, gawkerized new media did to the NYT. In each case, the dark nexus made an ostensibly broad-based media org captive to a tiny cabal that had mastered One Weird Trick critical to staying solvent in the digital age.
I don't follow this subplot as closely as I should, but a lot of my conclusions are derived/stolen from, @Aelkus and @Brett_Fujioka who track the play by play of this stuff a lot more, and also with a broader global perspective, since this has already played out in Asia
Check out Brett's Noema article on related matters to see how deep the rabbit hole actually goes https://t.co/an83KaxkbP
Point of that article is... if you *actually* do the due diligence and heavy lift work trying to understand the sort of cultural landscape we're talking about, you end up with much deeper, and more complex takes that are... I dunno... actually interesting even to insiders?
There's a sort of gold standard in cultural reporting that most media outlets don't even aspire to anymore: cover a thing so powerfully well that the insiders you're talking about ignore any critical element and achieve a new self-awareness of themselves.
The current operating standard is: cover it in a way that flatters the self-congratulatory conceits of the cabal in control of the newsroom, and the hardened beliefs of the most cult-loyal readers who will punish you for challenging their preconceptions even slightly.

More from Venkatesh Rao

Venkatesh Rao
Venkatesh Rao
@vgr
social media use really calls for something closer to a driver's license than terms of service... most apparent bad behavior here is more incompetence than malice, like not knowing how to change lanes or take turns at a 4-way stop..

trump's history on twitter is something closer to a crazy car chase on LA streets than bad driving (with the cops MIA, but media helicopters in pursuit), but almost all unpleasantness around here is just poor driving skills

not that I'm advocating for a licensing regime... that would be a terrible thing. Do not need a social media DMV. But the underlying principles (as tested for eg. in the written and road tests) are pretty good.

Written test would test things like "safe following distance" (reply-guying = tailgating?)

Road test would actually expose you to routine provocations. Like, "make a left turn" = "deal with this concern troll"

As in the driving test, where an awkward, unnatural, and unintuitive bit, the parallel parking test, is the toughest bit, there would be some such awkward maneuver you'd have to learn (hmmm... what's the parallel parking equivalent on twitter?)
SOCIAL MEDIA
Venkatesh Rao
Venkatesh Rao
@vgr
following a discussion at @yak_collective this morning, I came up with this chart to capture a hypothesis I have that the difficulty of creating communities scales exponentially with the the "depth" of what you're trying to do


thanks @grigorimilov for leading the discussion that sparked this.

The way to read the graph is: each line is a time history of difficulty. It starts dotted, goes through a criticality inflection point, and then crests in difficulty before coming down to a stable plateau.

The inflection points have different names depending on context, but are all topologically similar. They are the make or break moment when a network-effect either kicks in, or fails to. "Product-market fit" in the case of market is the best known such point.

Level 1 is a basic social community, such as a FB group, meetup etc. There are millions of successful ones, and 100s of millions of failures. The "fit point" is what I call a meme-mind fit, when some social object catalyzes a sustainable long-term conversation of growing richness

Almost everything I've helped instigate is Level 1. My contributions to the social-object soup have been things like the vocabulary around sociopaths/clueless/losers, legibility, 2x2s etc.
FOR LATER READ
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Venkatesh Rao
Venkatesh Rao
@vgr
stacks are eating the world

business used to be easiest to comprehend via a) market-based logic of horizontal vs. vertical STRUCTURE, b) professionalization/specialization based FUNCTION c) core competencies based BEHAVIORS

this has pretty much collapsed in the last decade

Structure = sclerosis
Functional specialization = bureaucracy
competencies = inertial habits

"Stack" thinking instead lets technology structure (rather than market structure) drive business org logic

Companies seem to do well when they identify an entire stack of technologies they are good at (not just point bits) and organize to conform to its logic. There is a "full-stack" dimension of technical specialization that is the spine of the org

It feels buzzwordy, but it really is getting to be that way. AI stack, decarbonization stack, mobility stack, electrification stack... some end-to-end pathway of turning physics into economics via layers of tech artistically baked together like a cake
CRYPTO , FOR LATER READ
Venkatesh Rao
Venkatesh Rao
@vgr
I’m guessing these responses really reflect people’s weighted averages (age*current average effort fraction) though I kept it simple and asked for just averages.


I suspect a healthy weighted average should be ~ (age-20)/2. So a 30 year old should be at 5, a 40 year old at 10, a 50 year old at 15 etc.

Standard deviation should be ~average/3 maybe, so distribution spreads as you age and accumulate projects and get better at them.

Other things being equal, people get good at starting in their 20s, at follow through in 30s, at finishing in 40s.

No point learning food follow through until you’ve found a few good starts to bet on. No point getting good at finishing until a few projects have aged gracefully.

I’m in the 7+ range myself. Probably 8-9. Slightly less than healthy for my age.

I suspect most self-judgments on being good starters/follow-through-ers/finishers are really flawed because of the non-ergodicity of project management skill learning. You can’t learn good practices for the 3 phases in an arbitrary order. On,y one order actually works.
FOR LATER READ
Venkatesh Rao
Venkatesh Rao
@vgr
Reading my own old writing from 10+ years ago is rarely pleasant. It’s not that the ideas and techniques are worse/embarrassing by current tastes (though they often are), but that they have a brash energy I can’t vibe with anymore even where I can still stand by the content.

Most of that energy is not mine from a younger mindset personally (though there’s some of that) but a function of the era. 2010 generally had more of a brash energy going. An energy born of a widespread sense of the world making more sense and humans being more agenty within it.

2007-13: Brash energy. The GFC bloodied our noses but we still felt in control of the plot collectively.

2014-20: Angry-anxious energy. Everybody lost the plot. Winners and losers alike. Great Weirding.

2021 - : Mellow sadder-and-wiser energy on macro, brrr energy on micro.

Opening mood for 2021 feels like how a figure skater spins faster by pulling in tighter. Narrower horizons, more concentrated energy, easy to mistake conservation of momentum effects for an absolute increase in system energy. Shows up in everything from stocks to writing.

Its tempting to retreat to narrow horizons with primarily happy domestic cozy energy (these are really good times for anything that taps into domestic-scale psyche energy). But even the happiest broader thoughts are alloyed with that mellow sadder-wiser plotlessness.
FOR LATER READ

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Vigilant AFA
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One fascist to watch in 2021 is Joseph Charles "Oakman" Golinske of SE MI. He's been a Proud Boy for a couple years, but took a break recently from the group and promotes himself through the "Oak Nation" channel on Telegram.


Most people may be familiar with him as the tall guy in the Proud Boys bridge shot, from their August 17, 2019 attack on Portland, which featured an American Guard bus trying (and failing) to bludgeon antifascists with hammers.


He was also with his g/f at the time (Dominique Tota, left of Tarrio), and that's definitely a twitter account folks will want to block/report because he posts on it.


He's been plenty active at the pro-Covid/anti-mask/ReOpen protests in Lansing MI, seen here with Jerry Wayne and an effigy of Gretchen Whitmer, who his militia friends tried to kidnap and publicly execute.


Outside of the Proud Boys, his solo "career" with Oak Nation features the same misogyny, classism and gateway to far-right domestic terrorism the Proud Boys themselves feature. Here's him peddling oxychlorinque and bragging about harassing service workers.
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Patrick Chovanec
Patrick Chovanec
@prchovanec
I'm going to do two history threads on Ethiopia, one on its ancient history, one on its modern story (1800 to today). 🇪🇹

I'll begin with the ancient history ... and it goes way back. Because modern humans - and before that, the ancestors of humans - almost certainly originated in Ethiopia. 🇪🇹 (sub-thread):


The first likely historical reference to Ethiopia is ancient Egyptian records of trade expeditions to the "Land of Punt" in search of gold, ebony, ivory, incense, and wild animals, starting in c 2500 BC 🇪🇹


Ethiopians themselves believe that the Queen of Sheba, who visited Israel's King Solomon in the Bible (c 950 BC), came from Ethiopia (not Yemen, as others believe). Here she is meeting Solomon in a stain-glassed window in Addis Ababa's Holy Trinity Church. 🇪🇹


References to the Queen of Sheba are everywhere in Ethiopia. The national airline's frequent flier miles are even called "ShebaMiles". 🇪🇹
CULTURE
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Cookie Cyboid
Cookie Cyboid
@CookieCyboid
“Why are Tumblr and Facebook cracking down on sex so much? And why is Facebook in so over zealous about it? It’s all Apples fault!” Etc etc

I can explain all. It is largely the fault of a set of US laws called SESTA and FOSTA.
TECH
Roger Grosse
Roger Grosse
@RogerGrosse
Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ


The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.
MACHINE LEARNING
Vibhu Vashisth
Vibhu Vashisth
@VIBHU_Tweet
ANCIENT BHARAT WAS CALLED VISHWAGURU, AND IT REALLY DESERVED IT.

India had a well developed education system centuries before the westerners arrived and called us uncivilized. Education was always given a great importance in Indian civilisation since times immemorial.


Ancient India had the Gurukulas and Ashramas as the epicentres of the knowledge and enlightenment. Bigger Gurukulas served as the centres of higher education called universities. Besides these universities, temples also emerged as the major learning centres.

Studying the Holy Scriptures, character building, personality development, responsibilities towards self,family and society,discipline and preservation of the ancient culture and heritage were the key embodiments of education.

This kind of education system made ancient India, a centre of knowledge all over the world. Many foreign students came to India for education and India was called the 'Vishwaguru'.
Takshshila and Nalanda were the two prominent universities of ancient India.


But were these only Universities of ancient India?The answer is 'No'.Let's learn about these gems of our education system that flourished across ancient India & be proud.

NALANDA UNIVERSITY
This was the oldest university of ancient India.Situated in Nalanda distt. of Bihar...
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