nhaliday + meta:reading 28
How I Choose What To Read — David Perell
23 days ago by nhaliday
READING HEURISTICS
1. TRUST RECOMMENDATIONS — BUT NOT TOO MUCH
2. TAME THE THRILLERS
3. BLEND A BIZARRE BOWL
4. TRUST THE LINDY EFFECT
5. FAVOR BIOGRAPHIES OVER SELF-HELP
unaffiliated
advice
reflection
checklists
metabuch
learning
studying
info-foraging
skeleton
books
heuristic
contrarianism
ubiquity
time
track-record
thinking
blowhards
bret-victor
worrydream
list
top-n
recommendations
arbitrage
trust
aphorism
meta:reading
prioritizing
judgement
1. TRUST RECOMMENDATIONS — BUT NOT TOO MUCH
2. TAME THE THRILLERS
3. BLEND A BIZARRE BOWL
4. TRUST THE LINDY EFFECT
5. FAVOR BIOGRAPHIES OVER SELF-HELP
23 days ago by nhaliday
Reasoning From First Principles: The Dumbest Thing Smart People Do
5 weeks ago by nhaliday
Most middle-class Americans at least act as if:
- Exactly four years of higher education is precisely the right level of training for the overwhelming majority of good careers.
- You should spend most of your waking hours most days of the week for the previous twelve+ years preparing for those four years. In your free time, be sure to do the kinds of things guidance counselors think are impressive; we as a society know that these people are the best arbiters of arete.
- Forty hours per week is exactly how long it takes to be reasonably successful in most jobs.
- On the margin, the cost of paying for money management exceeds the cost of adverse selection from not paying for it.
- You will definitely learn important information about someone’s spousal qualifications in years two through five of dating them.
-Human beings need about 50% more square feet per capita than they did a generation or two ago, and you should probably buy rather than rent it.
- Books are very boring, but TV is interesting.
All of these sound kind of dumb when you write them out. Even if they’re arguably true, you’d expect a good argument. You can be a low-risk contrarian by just picking a handful of these, articulating an alternative — either a way to get 80% of the benefit at 20% of the cost, or a way to pay a higher cost to get massively more benefits — and then living it.[1]
techtariat
econotariat
unaffiliated
wonkish
org:med
thinking
skeleton
being-right
paying-rent
rationality
pareto
cost-benefit
arbitrage
spock
epistemic
contrarianism
finance
personal-finance
investing
stories
metameta
advice
metabuch
strategy
education
higher-ed
labor
sex
housing
tv
meta:reading
axioms
truth
worse-is-better/the-right-thing
- Exactly four years of higher education is precisely the right level of training for the overwhelming majority of good careers.
- You should spend most of your waking hours most days of the week for the previous twelve+ years preparing for those four years. In your free time, be sure to do the kinds of things guidance counselors think are impressive; we as a society know that these people are the best arbiters of arete.
- Forty hours per week is exactly how long it takes to be reasonably successful in most jobs.
- On the margin, the cost of paying for money management exceeds the cost of adverse selection from not paying for it.
- You will definitely learn important information about someone’s spousal qualifications in years two through five of dating them.
-Human beings need about 50% more square feet per capita than they did a generation or two ago, and you should probably buy rather than rent it.
- Books are very boring, but TV is interesting.
All of these sound kind of dumb when you write them out. Even if they’re arguably true, you’d expect a good argument. You can be a low-risk contrarian by just picking a handful of these, articulating an alternative — either a way to get 80% of the benefit at 20% of the cost, or a way to pay a higher cost to get massively more benefits — and then living it.[1]
5 weeks ago by nhaliday
About This Website - Gwern.net
ratty gwern people summary workflow exocortex long-short-run software oss vcs internet web flux-stasis time sequential spreading longform discipline writing vulgar subculture scifi-fantasy fiction meta:reading tools priors-posteriors meta:prediction lesswrong planning info-foraging r-lang feynman giants heavyweights learning mindful retention notetaking pdf backup profile confidence epistemic rationality yak-shaving checking wire-guided hn forum aggregator quotes aphorism time-series data frontend minimalism form-design
7 weeks ago by nhaliday
ratty gwern people summary workflow exocortex long-short-run software oss vcs internet web flux-stasis time sequential spreading longform discipline writing vulgar subculture scifi-fantasy fiction meta:reading tools priors-posteriors meta:prediction lesswrong planning info-foraging r-lang feynman giants heavyweights learning mindful retention notetaking pdf backup profile confidence epistemic rationality yak-shaving checking wire-guided hn forum aggregator quotes aphorism time-series data frontend minimalism form-design
7 weeks ago by nhaliday
Zettelkästen? | Hacker News
8 weeks ago by nhaliday
Here’s a LessWrong post that describes it (including the insight “I honestly didn’t think Zettelkasten sounded like a good idea before I tried it” which I also felt).
yeah doesn't sound like a good idea to me either. idk
hn
commentary
techtariat
germanic
productivity
workflow
notetaking
exocortex
gtd
explore-exploit
business
comparison
academia
tech
ratty
lesswrong
idk
thinking
neurons
network-structure
software
tools
app
metabuch
writing
trees
graphs
skeleton
meta:reading
wkfly
worrydream
yeah doesn't sound like a good idea to me either. idk
8 weeks ago by nhaliday
My Conversation with Paul Romer - Marginal REVOLUTION
econotariat marginal-rev org:med interview commentary economics growth-econ developing-world paul-romer cultural-dynamics culture history age-of-discovery conquest-empire expansionism usa pennsylvania the-south northeast anglo language stagnation innovation cjones-like discovery microfoundations religion institutions leviathan government speedometer education higher-ed science academia writing meta:reading cost-benefit grokkability-clarity communication china asia sinosphere technology complex-systems meta:prediction flux-stasis foreign-lang simplification-normalization
8 weeks ago by nhaliday
econotariat marginal-rev org:med interview commentary economics growth-econ developing-world paul-romer cultural-dynamics culture history age-of-discovery conquest-empire expansionism usa pennsylvania the-south northeast anglo language stagnation innovation cjones-like discovery microfoundations religion institutions leviathan government speedometer education higher-ed science academia writing meta:reading cost-benefit grokkability-clarity communication china asia sinosphere technology complex-systems meta:prediction flux-stasis foreign-lang simplification-normalization
8 weeks ago by nhaliday
Learning to learn | jiasi
september 2019 by nhaliday
It might sound a bit stupid, but I just realized that a better reading strategy could help me learn faster, almost three times as fast as before.
To enter a research field, we sometimes have to read tens of research papers. We could alternatively read summaries like textbooks and survey papers, which are generally more comprehensive and more friendly for non-experts. But some fields don’t have good summaries out there, for reasons like the fields being too new, too narrow, or too broad.
...
Part 1. Taking good notes and keeping them organized.
Where we store information greatly affects how we access it. If we can always easily find some information — from Google or our own notes — then we can pick it up quickly, even after forgetting it. This observation can make us smarter.
Let’s do the same when reading papers. Now I keep searchable notes as follows:
- For every topic, create a document that contains the notes for all papers on this topic.[1]
- For each paper, take these notes: summaries, quotes, and sufficient bibliographic information for future lookup.[2, pages 95-99]
- When reading a new paper, if it cites a paper that I have already read, review the notes for the cited paper. Update the notes as needed.
This way, we won’t lose what we have read and learned.
Part 2. Skipping technical sections for 93% of the time.
Only 7% of readers of a paper will read its technical sections.[1] Thus, if we want to read like average, it might make sense to skip technical sections for roughly 93% of papers that we read. For example, consider reading each paper like this:
- Read only the big-picture sections — abstract, introduction, and conclusion;
- Scan the technical sections — figures, tables, and the first and the last paragraphs for each section[2, pages 76-77] — to check surprises;
- Take notes;
- Done!
In theory, the only 7% of the papers that we need to read carefully would be those that we really have to know well.
techtariat
scholar
academia
meta:research
notetaking
studying
learning
grad-school
phd
reflection
meta:reading
prioritizing
quality
writing
technical-writing
growth
checklists
metabuch
advice
To enter a research field, we sometimes have to read tens of research papers. We could alternatively read summaries like textbooks and survey papers, which are generally more comprehensive and more friendly for non-experts. But some fields don’t have good summaries out there, for reasons like the fields being too new, too narrow, or too broad.
...
Part 1. Taking good notes and keeping them organized.
Where we store information greatly affects how we access it. If we can always easily find some information — from Google or our own notes — then we can pick it up quickly, even after forgetting it. This observation can make us smarter.
Let’s do the same when reading papers. Now I keep searchable notes as follows:
- For every topic, create a document that contains the notes for all papers on this topic.[1]
- For each paper, take these notes: summaries, quotes, and sufficient bibliographic information for future lookup.[2, pages 95-99]
- When reading a new paper, if it cites a paper that I have already read, review the notes for the cited paper. Update the notes as needed.
This way, we won’t lose what we have read and learned.
Part 2. Skipping technical sections for 93% of the time.
Only 7% of readers of a paper will read its technical sections.[1] Thus, if we want to read like average, it might make sense to skip technical sections for roughly 93% of papers that we read. For example, consider reading each paper like this:
- Read only the big-picture sections — abstract, introduction, and conclusion;
- Scan the technical sections — figures, tables, and the first and the last paragraphs for each section[2, pages 76-77] — to check surprises;
- Take notes;
- Done!
In theory, the only 7% of the papers that we need to read carefully would be those that we really have to know well.
september 2019 by nhaliday
Skim / Feature Requests / #138 iphone/ebook support
june 2019 by nhaliday
Skim notes could never work on the iPhone, because SKim notes data depend on AppKit, which is not available in iOS. So any app for iOS would just be some comletely separate PDF app, that has nothing to do with Skim in particular.
tracker
app
pdf
software
tools
ios
mobile
osx
desktop
workflow
scholar
meta:reading
todo
june 2019 by nhaliday
Basic Error Rates
may 2019 by nhaliday
This page describes human error rates in a variety of contexts.
Most of the error rates are for mechanical errors. A good general figure for mechanical error rates appears to be about 0.5%.
Of course the denominator differs across studies. However only fairly simple actions are used in the denominator.
The Klemmer and Snyder study shows that much lower error rates are possible--in this case for people whose job consisted almost entirely of data entry.
The error rate for more complex logic errors is about 5%, based primarily on data on other pages, especially the program development page.
org:junk
list
links
objektbuch
data
database
error
accuracy
human-ml
machine-learning
ai
pro-rata
metrics
automation
benchmarks
marginal
nlp
language
density
writing
dataviz
meta:reading
speedometer
Most of the error rates are for mechanical errors. A good general figure for mechanical error rates appears to be about 0.5%.
Of course the denominator differs across studies. However only fairly simple actions are used in the denominator.
The Klemmer and Snyder study shows that much lower error rates are possible--in this case for people whose job consisted almost entirely of data entry.
The error rate for more complex logic errors is about 5%, based primarily on data on other pages, especially the program development page.
may 2019 by nhaliday
Why books don’t work | Andy Matuschak
may 2019 by nhaliday
https://twitter.com/Scholars_Stage/status/1199702832728948737
https://archive.is/cc4zf
I reviewed today my catalogue of 420~ books I have read over the last six years and I am in despair. There are probably 100~ whose contents I can tell you almost nothing about—nothing noteworthy anyway.
techtariat
worrydream
learning
education
teaching
higher-ed
neurons
thinking
rhetoric
essay
michael-nielsen
retention
better-explained
bounded-cognition
info-dynamics
info-foraging
books
communication
lectures
contrarianism
academia
scholar
design
meta:reading
studying
form-design
writing
technical-writing
skunkworks
multi
broad-econ
wonkish
unaffiliated
twitter
social
discussion
backup
reflection
https://archive.is/cc4zf
I reviewed today my catalogue of 420~ books I have read over the last six years and I am in despair. There are probably 100~ whose contents I can tell you almost nothing about—nothing noteworthy anyway.
may 2019 by nhaliday
A cross-language perspective on speech information rate
february 2019 by nhaliday
Figure 2.
English (IREN = 1.08) shows a higher Information Rate than Vietnamese (IRVI = 1). On the contrary, Japanese exhibits the lowest IRL value of the sample. Moreover, one can observe that several languages may reach very close IRL with different encoding strategies: Spanish is characterized by a fast rate of low-density syllables while Mandarin exhibits a 34% slower syllabic rate with syllables ‘denser’ by a factor of 49%. Finally, their Information Rates differ only by 4%.
Is spoken English more efficient than other languages?: https://linguistics.stackexchange.com/questions/2550/is-spoken-english-more-efficient-than-other-languages
As a translator, I can assure you that English is no more efficient than other languages.
--
[some comments on a different answer:]
Russian, when spoken, is somewhat less efficient than English, and that is for sure. No one who has ever worked as an interpreter can deny it. You can convey somewhat more information in English than in Russian within an hour. The English language is not constrained by the rigid case and gender systems of the Russian language, which somewhat reduce the information density of the Russian language. The rules of the Russian language force the speaker to incorporate sometimes unnecessary details in his speech, which can be problematic for interpreters – user74809 Nov 12 '18 at 12:48
But in writing, though, I do think that Russian is somewhat superior. However, when it comes to common daily speech, I do not think that anyone can claim that English is less efficient than Russian. As a matter of fact, I also find Russian to be somewhat more mentally taxing than English when interpreting. I mean, anyone who has lived in the world of Russian and then moved to the world of English is certain to notice that English is somewhat more efficient in everyday life. It is not a night-and-day difference, but it is certainly noticeable. – user74809 Nov 12 '18 at 13:01
...
By the way, I am not knocking Russian. I love Russian, it is my mother tongue and the only language, in which I sound like a native speaker. I mean, I still have a pretty thick Russian accent. I am not losing it anytime soon, if ever. But like I said, living in both worlds, the Moscow world and the Washington D.C. world, I do notice that English is objectively more efficient, even if I am myself not as efficient in it as most other people. – user74809 Nov 12 '18 at 13:40
Do most languages need more space than English?: https://english.stackexchange.com/questions/2998/do-most-languages-need-more-space-than-english
Speaking as a translator, I can share a few rules of thumb that are popular in our profession:
- Hebrew texts are usually shorter than their English equivalents by approximately 1/3. To a large extent, that can be attributed to cheating, what with no vowels and all.
- Spanish, Portuguese and French (I guess we can just settle on Romance) texts are longer than their English counterparts by about 1/5 to 1/4.
- Scandinavian languages are pretty much on par with English. Swedish is a tiny bit more compact.
- Whether or not Russian (and by extension, Ukrainian and Belorussian) is more compact than English is subject to heated debate, and if you ask five people, you'll be presented with six different opinions. However, everybody seems to agree that the difference is just a couple percent, be it this way or the other.
--
A point of reference from the website I maintain. The files where we store the translations have the following sizes:
English: 200k
Portuguese: 208k
Spanish: 209k
German: 219k
And the translations are out of date. That is, there are strings in the English file that aren't yet in the other files.
For Chinese, the situation is a bit different because the character encoding comes into play. Chinese text will have shorter strings, because most words are one or two characters, but each character takes 3–4 bytes (for UTF-8 encoding), so each word is 3–12 bytes long on average. So visually the text takes less space but in terms of the information exchanged it uses more space. This Language Log post suggests that if you account for the encoding and remove redundancy in the data using compression you find that English is slightly more efficient than Chinese.
Is English more efficient than Chinese after all?: https://languagelog.ldc.upenn.edu/nll/?p=93
[Executive summary: Who knows?]
This follows up on a series of earlier posts about the comparative efficiency — in terms of text size — of different languages ("One world, how many bytes?", 8/5/2005; "Comparing communication efficiency across languages", 4/4/2008; "Mailbag: comparative communication efficiency", 4/5/2008). Hinrich Schütze wrote:
pdf
study
language
foreign-lang
linguistics
pro-rata
bits
communication
efficiency
density
anglo
japan
asia
china
mediterranean
data
multi
comparison
writing
meta:reading
measure
compression
empirical
evidence-based
experiment
analysis
chart
trivia
cocktail
org:edu
English (IREN = 1.08) shows a higher Information Rate than Vietnamese (IRVI = 1). On the contrary, Japanese exhibits the lowest IRL value of the sample. Moreover, one can observe that several languages may reach very close IRL with different encoding strategies: Spanish is characterized by a fast rate of low-density syllables while Mandarin exhibits a 34% slower syllabic rate with syllables ‘denser’ by a factor of 49%. Finally, their Information Rates differ only by 4%.
Is spoken English more efficient than other languages?: https://linguistics.stackexchange.com/questions/2550/is-spoken-english-more-efficient-than-other-languages
As a translator, I can assure you that English is no more efficient than other languages.
--
[some comments on a different answer:]
Russian, when spoken, is somewhat less efficient than English, and that is for sure. No one who has ever worked as an interpreter can deny it. You can convey somewhat more information in English than in Russian within an hour. The English language is not constrained by the rigid case and gender systems of the Russian language, which somewhat reduce the information density of the Russian language. The rules of the Russian language force the speaker to incorporate sometimes unnecessary details in his speech, which can be problematic for interpreters – user74809 Nov 12 '18 at 12:48
But in writing, though, I do think that Russian is somewhat superior. However, when it comes to common daily speech, I do not think that anyone can claim that English is less efficient than Russian. As a matter of fact, I also find Russian to be somewhat more mentally taxing than English when interpreting. I mean, anyone who has lived in the world of Russian and then moved to the world of English is certain to notice that English is somewhat more efficient in everyday life. It is not a night-and-day difference, but it is certainly noticeable. – user74809 Nov 12 '18 at 13:01
...
By the way, I am not knocking Russian. I love Russian, it is my mother tongue and the only language, in which I sound like a native speaker. I mean, I still have a pretty thick Russian accent. I am not losing it anytime soon, if ever. But like I said, living in both worlds, the Moscow world and the Washington D.C. world, I do notice that English is objectively more efficient, even if I am myself not as efficient in it as most other people. – user74809 Nov 12 '18 at 13:40
Do most languages need more space than English?: https://english.stackexchange.com/questions/2998/do-most-languages-need-more-space-than-english
Speaking as a translator, I can share a few rules of thumb that are popular in our profession:
- Hebrew texts are usually shorter than their English equivalents by approximately 1/3. To a large extent, that can be attributed to cheating, what with no vowels and all.
- Spanish, Portuguese and French (I guess we can just settle on Romance) texts are longer than their English counterparts by about 1/5 to 1/4.
- Scandinavian languages are pretty much on par with English. Swedish is a tiny bit more compact.
- Whether or not Russian (and by extension, Ukrainian and Belorussian) is more compact than English is subject to heated debate, and if you ask five people, you'll be presented with six different opinions. However, everybody seems to agree that the difference is just a couple percent, be it this way or the other.
--
A point of reference from the website I maintain. The files where we store the translations have the following sizes:
English: 200k
Portuguese: 208k
Spanish: 209k
German: 219k
And the translations are out of date. That is, there are strings in the English file that aren't yet in the other files.
For Chinese, the situation is a bit different because the character encoding comes into play. Chinese text will have shorter strings, because most words are one or two characters, but each character takes 3–4 bytes (for UTF-8 encoding), so each word is 3–12 bytes long on average. So visually the text takes less space but in terms of the information exchanged it uses more space. This Language Log post suggests that if you account for the encoding and remove redundancy in the data using compression you find that English is slightly more efficient than Chinese.
Is English more efficient than Chinese after all?: https://languagelog.ldc.upenn.edu/nll/?p=93
[Executive summary: Who knows?]
This follows up on a series of earlier posts about the comparative efficiency — in terms of text size — of different languages ("One world, how many bytes?", 8/5/2005; "Comparing communication efficiency across languages", 4/4/2008; "Mailbag: comparative communication efficiency", 4/5/2008). Hinrich Schütze wrote:
february 2019 by nhaliday
Why read old philosophy? | Meteuphoric
june 2018 by nhaliday
(This story would suggest that in physics students are maybe missing out on learning the styles of thought that produce progress in physics. My guess is that instead they learn them in grad school when they are doing research themselves, by emulating their supervisors, and that the helpfulness of this might partially explain why Nobel prizewinner advisors beget Nobel prizewinner students.)
The story I hear about philosophy—and I actually don’t know how much it is true—is that as bits of philosophy come to have any methodological tools other than ‘think about it’, they break off and become their own sciences. So this would explain philosophy’s lone status in studying old thinkers rather than impersonal methods—philosophy is the lone ur-discipline without impersonal methods but thinking.
This suggests a research project: try summarizing what Aristotle is doing rather than Aristotle’s views. Then write a nice short textbook about it.
ratty
learning
reading
studying
prioritizing
history
letters
philosophy
science
comparison
the-classics
canon
speculation
reflection
big-peeps
iron-age
mediterranean
roots
lens
core-rats
thinking
methodology
grad-school
academia
physics
giants
problem-solving
meta:research
scholar
the-trenches
explanans
crux
metameta
duplication
sociality
innovation
quixotic
meta:reading
classic
The story I hear about philosophy—and I actually don’t know how much it is true—is that as bits of philosophy come to have any methodological tools other than ‘think about it’, they break off and become their own sciences. So this would explain philosophy’s lone status in studying old thinkers rather than impersonal methods—philosophy is the lone ur-discipline without impersonal methods but thinking.
This suggests a research project: try summarizing what Aristotle is doing rather than Aristotle’s views. Then write a nice short textbook about it.
june 2018 by nhaliday
Reading | West Hunter
june 2017 by nhaliday
Reading speed and comprehension interest me, but I don’t have as much information as I would like. I would like to see the distribution of reading speeds ( in the general population, and also in college graduates). I have looked a bit at discussions of this, and there’s something wrong. Or maybe a lot wrong. Researchers apparently say that nobody reads 900 words a minute with full comprehension, but I’ve seen it done. I would also like to know if anyone has statistically validated methods that increase reading speed.
On related topics, I wonder how many serious readers there are, here and also in other countries. Are they as common in Japan or China, with their very different scripts? Are reading speeds higher or lower there?
How many people have their houses really, truly stuffed with books? Here and elsewhere? Last time I checked we had about 5000 books around the house: I figure that’s serious, verging on the pathological.
To what extent do people remember what they read? Judging from the general results of adult knowledge studies, not very much of what they took in school, but maybe voluntary reading is different.
https://westhunt.wordpress.com/2012/06/05/reading/#comment-3187
The researchers claim that the range of high-comprehension reading speed doesn’t go up anywhere near 900 wpm. But my daughter routinely reads at that speed. In high school, I took a reading speed test and scored a bit over 1000 wpm, with perfect comprehension.
I have suggested that the key to high reading speed is the experience of trying to finish a entire science fiction paperback in a drugstore before the proprietor tells you to buy the damn thing or get out. Helps if you can hide behind the bookrack.
https://westhunt.wordpress.com/2019/03/31/early-reading/
There are a few small children, mostly girls, that learn to read very early. You read stories to them and before you know they’re reading by themselves. By very early, I men age 3 or 4.
Does this happen in China ?
hmm:
Beijingers' average daily reading time exceeds an hour: report: http://www.chinadaily.com.cn/a/201712/07/WS5a293e1aa310fcb6fafd44c0.html
Free Speed Reading Test by AceReader: http://www.freereadingtest.com/
time+comprehension
http://www.readingsoft.com/
claims: 1000 wpm with 85% comprehension at top 1%, 200 wpm at 60% for average
https://www.wsj.com/articles/speed-reading-returns-1395874723
http://projects.wsj.com/speedread/
https://news.ycombinator.com/item?id=929753
Take a look at "Reading Rate: A Review of Research and Theory" by Ronald P. Carver
http://www.amazon.com/Reading-Rate-Review-Research-Theory/dp...
The conclusion is, basically, that speed reading courses don't work.
You can teach people to skim at a faster rate than they'd read with maximum comprehension and retention. And you can teach people study skills, such as how to summarize salient points, and take notes.
But all these skills are not at all the same as what speed reading usually promises, which is to drastically increase the rate at which you read with full comprehension and retention. According to Carver's book, it can't be done, at least not drastically past about the rate you'd naturally read at the college level.
west-hunter
scitariat
discussion
speculation
ideas
rant
critique
learning
studying
westminster
error
realness
language
japan
china
asia
sinosphere
retention
foreign-lang
info-foraging
scale
speed
innovation
explanans
creative
multi
data
urban-rural
time
time-use
europe
the-great-west-whale
occident
orient
people
track-record
trivia
books
number
knowledge
poll
descriptive
distribution
tools
quiz
neurons
anglo
hn
poast
news
org:rec
metrics
density
writing
meta:reading
thinking
worrydream
On related topics, I wonder how many serious readers there are, here and also in other countries. Are they as common in Japan or China, with their very different scripts? Are reading speeds higher or lower there?
How many people have their houses really, truly stuffed with books? Here and elsewhere? Last time I checked we had about 5000 books around the house: I figure that’s serious, verging on the pathological.
To what extent do people remember what they read? Judging from the general results of adult knowledge studies, not very much of what they took in school, but maybe voluntary reading is different.
https://westhunt.wordpress.com/2012/06/05/reading/#comment-3187
The researchers claim that the range of high-comprehension reading speed doesn’t go up anywhere near 900 wpm. But my daughter routinely reads at that speed. In high school, I took a reading speed test and scored a bit over 1000 wpm, with perfect comprehension.
I have suggested that the key to high reading speed is the experience of trying to finish a entire science fiction paperback in a drugstore before the proprietor tells you to buy the damn thing or get out. Helps if you can hide behind the bookrack.
https://westhunt.wordpress.com/2019/03/31/early-reading/
There are a few small children, mostly girls, that learn to read very early. You read stories to them and before you know they’re reading by themselves. By very early, I men age 3 or 4.
Does this happen in China ?
hmm:
Beijingers' average daily reading time exceeds an hour: report: http://www.chinadaily.com.cn/a/201712/07/WS5a293e1aa310fcb6fafd44c0.html
Free Speed Reading Test by AceReader: http://www.freereadingtest.com/
time+comprehension
http://www.readingsoft.com/
claims: 1000 wpm with 85% comprehension at top 1%, 200 wpm at 60% for average
https://www.wsj.com/articles/speed-reading-returns-1395874723
http://projects.wsj.com/speedread/
https://news.ycombinator.com/item?id=929753
Take a look at "Reading Rate: A Review of Research and Theory" by Ronald P. Carver
http://www.amazon.com/Reading-Rate-Review-Research-Theory/dp...
The conclusion is, basically, that speed reading courses don't work.
You can teach people to skim at a faster rate than they'd read with maximum comprehension and retention. And you can teach people study skills, such as how to summarize salient points, and take notes.
But all these skills are not at all the same as what speed reading usually promises, which is to drastically increase the rate at which you read with full comprehension and retention. According to Carver's book, it can't be done, at least not drastically past about the rate you'd naturally read at the college level.
june 2017 by nhaliday
Why Books Are Fake
postrat vgr carcinisation literature books internet info-dynamics society anthropology cultural-dynamics culture knowledge communication homo-hetero learning walls intersection technology graphs network-structure insight tradition intersection-connectedness meta:reading
june 2017 by nhaliday
postrat vgr carcinisation literature books internet info-dynamics society anthropology cultural-dynamics culture knowledge communication homo-hetero learning walls intersection technology graphs network-structure insight tradition intersection-connectedness meta:reading
june 2017 by nhaliday
Unenumerated: Why the industrial revolution?
may 2017 by nhaliday
http://unenumerated.blogspot.com/2006/01/letter-from-industrial-revolution.html
http://unenumerated.blogspot.com/2006/02/roundhead-revolution.html
http://unenumerated.blogspot.com/2007/09/institutional-changes-precedent-to.html
http://unenumerated.blogspot.com/2009/05/what-caused-birth-of-agriculture-and.html
http://unenumerated.blogspot.com/2013/11/european-asian-divergence-predates.html
http://unenumerated.blogspot.com/2014/10/transportation-divergence-and.html (critiqued by Pseudoerasmus)
unaffiliated
szabo
history
early-modern
spearhead
gregory-clark
roots
industrial-revolution
divergence
culture
society
anthropology
age-of-discovery
developing-world
protestant-catholic
embedded-cognition
commentary
chart
multi
institutions
agriculture
europe
asia
the-great-west-whale
britain
anglosphere
values
china
hanson
gwern
econotariat
marginal-rev
debate
economics
growth-econ
speculation
sinosphere
oceans
capital
capitalism
🎩
transportation
law
iron-age
mediterranean
the-classics
broad-econ
pseudoE
cultural-dynamics
galor-like
tradeoffs
parenting
developmental
life-history
malthus
zeitgeist
wealth-of-nations
enlightenment-renaissance-restoration-reformation
property-rights
conquest-empire
modernity
political-econ
microfoundations
ideas
network-structure
meta:reading
writing
http://unenumerated.blogspot.com/2006/02/roundhead-revolution.html
http://unenumerated.blogspot.com/2007/09/institutional-changes-precedent-to.html
http://unenumerated.blogspot.com/2009/05/what-caused-birth-of-agriculture-and.html
http://unenumerated.blogspot.com/2013/11/european-asian-divergence-predates.html
http://unenumerated.blogspot.com/2014/10/transportation-divergence-and.html (critiqued by Pseudoerasmus)
may 2017 by nhaliday
Annotating Greg Cochran’s interview with James Miller
april 2017 by nhaliday
https://westhunt.wordpress.com/2017/04/05/interview-2/
opinion of Scott and Hanson: https://westhunt.wordpress.com/2017/04/05/interview-2/#comment-90238
Greg's methodist: https://westhunt.wordpress.com/2017/04/05/interview-2/#comment-90256
https://westhunt.wordpress.com/2017/04/05/interview-2/#comment-90299
You have to consider the relative strengths of Japan and the USA. USA was ~10x stronger, industrially, which is what mattered. Technically superior (radar, Manhattan project). Almost entirely self-sufficient in natural resources. Japan was sure to lose, and too crazy to quit, which meant that they would lose after being smashed flat.
--
There’s a fairly common way of looking at things in which the bad guys are not at fault because they’re bad guys, born that way, and thus can’t help it. Well, we can’t help it either, so the hell with them. I don’t think we had to respect Japan’s innate need to fuck everybody in China to death.
https://westhunt.wordpress.com/2017/03/25/ramble-on/
https://westhunt.wordpress.com/2017/03/24/topics/
https://soundcloud.com/user-519115521/greg-cochran-part-1
2nd part: https://pinboard.in/u:nhaliday/b:9ab84243b967
some additional things:
- political correctness, the Cathedral and the left (personnel continuity but not ideology/value) at start
- joke: KT impact = asteroid mining, every mass extinction = intelligent life destroying itself
- Alawites: not really Muslim, women liberated because "they don't have souls", ended up running shit in Syria because they were only ones that wanted to help the British during colonial era
- solution to Syria: "put the Alawites in NYC"
- Zimbabwe was OK for a while, if South Africa goes sour, just "put the Boers in NYC" (Miller: left would probably say they are "culturally incompatible", lol)
- story about Lincoln and his great-great-great-grandfather
- skepticism of free speech
- free speech, authoritarianism, and defending against the Mongols
- Scott crazy (not in a terrible way), LW crazy (genetics), ex.: polyamory
- TFP or microbio are better investments than stereotypical EA stuff
- just ban AI worldwide (bully other countries to enforce)
- bit of a back-and-forth about macroeconomics
- not sure climate change will be huge issue. world's been much warmer before and still had a lot of mammals, etc.
- he quite likes Pseudoerasmus
- shits on modern conservatism/Bret Stephens a bit
- mentions Japan having industrial base a tenth the size of the US's and no chance of winning WW2 around 11m mark
- describes himself as "fairly religious" around 20m mark
- 27m30s: Eisenhower was smart, read Carlyle, classical history, etc.
but was Nixon smarter?: https://www.gnxp.com/WordPress/2019/03/18/open-thread-03-18-2019/
The Scandals of Meritocracy. Virtue vs. competence. Would you rather have a boss who is evil but competent, or good but incompetent? The reality is you have to balance the two. Richard Nixon was probably smarter that Dwight Eisenhower in raw g, but Eisenhower was probably a better person.
org:med
west-hunter
scitariat
summary
links
podcast
audio
big-picture
westminster
politics
culture-war
academia
left-wing
ideology
biodet
error
crooked
bounded-cognition
stories
history
early-modern
africa
developing-world
death
mostly-modern
deterrence
japan
asia
war
meta:war
risk
ai
climate-change
speculation
agriculture
environment
prediction
religion
islam
iraq-syria
gender
dominant-minority
labor
econotariat
cracker-econ
coalitions
infrastructure
parasites-microbiome
medicine
low-hanging
biotech
terrorism
civil-liberty
civic
social-science
randy-ayndy
law
polisci
government
egalitarianism-hierarchy
expression-survival
disease
commentary
authoritarianism
being-right
europe
nordic
cohesion
heuristic
anglosphere
revolution
the-south
usa
thinking
info-dynamics
yvain
ssc
lesswrong
ratty
subculture
values
descriptive
epistemic
cost-disease
effective-altruism
charity
econ-productivity
technology
rhetoric
metameta
ai-control
critique
sociology
arms
paying-rent
parsimony
writing
realness
migration
eco
opinion of Scott and Hanson: https://westhunt.wordpress.com/2017/04/05/interview-2/#comment-90238
Greg's methodist: https://westhunt.wordpress.com/2017/04/05/interview-2/#comment-90256
https://westhunt.wordpress.com/2017/04/05/interview-2/#comment-90299
You have to consider the relative strengths of Japan and the USA. USA was ~10x stronger, industrially, which is what mattered. Technically superior (radar, Manhattan project). Almost entirely self-sufficient in natural resources. Japan was sure to lose, and too crazy to quit, which meant that they would lose after being smashed flat.
--
There’s a fairly common way of looking at things in which the bad guys are not at fault because they’re bad guys, born that way, and thus can’t help it. Well, we can’t help it either, so the hell with them. I don’t think we had to respect Japan’s innate need to fuck everybody in China to death.
https://westhunt.wordpress.com/2017/03/25/ramble-on/
https://westhunt.wordpress.com/2017/03/24/topics/
https://soundcloud.com/user-519115521/greg-cochran-part-1
2nd part: https://pinboard.in/u:nhaliday/b:9ab84243b967
some additional things:
- political correctness, the Cathedral and the left (personnel continuity but not ideology/value) at start
- joke: KT impact = asteroid mining, every mass extinction = intelligent life destroying itself
- Alawites: not really Muslim, women liberated because "they don't have souls", ended up running shit in Syria because they were only ones that wanted to help the British during colonial era
- solution to Syria: "put the Alawites in NYC"
- Zimbabwe was OK for a while, if South Africa goes sour, just "put the Boers in NYC" (Miller: left would probably say they are "culturally incompatible", lol)
- story about Lincoln and his great-great-great-grandfather
- skepticism of free speech
- free speech, authoritarianism, and defending against the Mongols
- Scott crazy (not in a terrible way), LW crazy (genetics), ex.: polyamory
- TFP or microbio are better investments than stereotypical EA stuff
- just ban AI worldwide (bully other countries to enforce)
- bit of a back-and-forth about macroeconomics
- not sure climate change will be huge issue. world's been much warmer before and still had a lot of mammals, etc.
- he quite likes Pseudoerasmus
- shits on modern conservatism/Bret Stephens a bit
- mentions Japan having industrial base a tenth the size of the US's and no chance of winning WW2 around 11m mark
- describes himself as "fairly religious" around 20m mark
- 27m30s: Eisenhower was smart, read Carlyle, classical history, etc.
but was Nixon smarter?: https://www.gnxp.com/WordPress/2019/03/18/open-thread-03-18-2019/
The Scandals of Meritocracy. Virtue vs. competence. Would you rather have a boss who is evil but competent, or good but incompetent? The reality is you have to balance the two. Richard Nixon was probably smarter that Dwight Eisenhower in raw g, but Eisenhower was probably a better person.
april 2017 by nhaliday
Research Debt
techtariat acmtariat rhetoric contrarianism research debt academia communication writing science meta:science better-explained worrydream coordination bret-victor michael-nielsen tech links thurston overflow discussion org:bleg nibble 🔬 🖥 🎓 visual-understanding the-trenches impact meta:research metameta big-picture hi-order-bits info-dynamics elegance meta:reading technical-writing heavyweights org:popup
march 2017 by nhaliday
techtariat acmtariat rhetoric contrarianism research debt academia communication writing science meta:science better-explained worrydream coordination bret-victor michael-nielsen tech links thurston overflow discussion org:bleg nibble 🔬 🖥 🎓 visual-understanding the-trenches impact meta:research metameta big-picture hi-order-bits info-dynamics elegance meta:reading technical-writing heavyweights org:popup
march 2017 by nhaliday
On “local” and “global” errors in mathematical papers, and how to detect them
november 2016 by nhaliday
local vs. global errors in technical papers
old:
https://plus.google.com/+TerenceTao27/posts/78aoEHoPhpS
gowers
social
metabuch
thinking
problem-solving
math
advice
reflection
scholar
🎓
expert
mathtariat
lens
local-global
meta:math
cartoons
learning
the-trenches
meta:research
s:**
info-dynamics
studying
expert-experience
meta:reading
multi
heavyweights
old:
https://plus.google.com/+TerenceTao27/posts/78aoEHoPhpS
november 2016 by nhaliday
On “compilation errors” in mathematical reading, and how to resolve them
november 2016 by nhaliday
compilation errors in academic papers
old:
[Google Buzz closed down for good recently, so I will be reprinting a small n...
https://plus.google.com/u/0/+TerenceTao27/posts/TGjjJPUdJjk
gowers
social
advice
reflection
math
thinking
problem-solving
metabuch
expert
scholar
🎓
mathtariat
lens
meta:math
cartoons
learning
lifts-projections
the-trenches
meta:research
s:**
info-dynamics
studying
expert-experience
meta:reading
analogy
compilers
multi
heavyweights
zooming
old:
[Google Buzz closed down for good recently, so I will be reprinting a small n...
https://plus.google.com/u/0/+TerenceTao27/posts/TGjjJPUdJjk
november 2016 by nhaliday
Thoughts on graduate school | Secret Blogging Seminar
september 2016 by nhaliday
I’ll organize my thoughts around the following ideas.
- Prioritize reading readable sources
- Build narratives
- Study other mathematician’s taste
- Do one early side project
- Find a clump of other graduate students
- Cast a wide net when looking for an advisor
- Don’t just work on one thing
- Don’t graduate until you have to
reflection
math
grad-school
phd
advice
expert
strategy
long-term
growth
🎓
aphorism
learning
scholar
hi-order-bits
tactics
mathtariat
metabuch
org:bleg
nibble
the-trenches
big-picture
narrative
meta:research
info-foraging
skeleton
studying
prioritizing
s:*
info-dynamics
chart
expert-experience
explore-exploit
meta:reading
grokkability
grokkability-clarity
- Prioritize reading readable sources
- Build narratives
- Study other mathematician’s taste
- Do one early side project
- Find a clump of other graduate students
- Cast a wide net when looking for an advisor
- Don’t just work on one thing
- Don’t graduate until you have to
september 2016 by nhaliday
Why Information Grows – Paul Romer
september 2016 by nhaliday
thinking like a physicist:
The key element in thinking like a physicist is being willing to push simultaneously to extreme levels of abstraction and specificity. This sounds paradoxical until you see it in action. Then it seems obvious. Abstraction means that you strip away inessential detail. Specificity means that you take very seriously the things that remain.
Abstraction vs. Radical Specificity: https://paulromer.net/abstraction-vs-radical-specificity/
books
summary
review
economics
growth-econ
interdisciplinary
hmm
physics
thinking
feynman
tradeoffs
paul-romer
econotariat
🎩
🎓
scholar
aphorism
lens
signal-noise
cartoons
skeleton
s:**
giants
electromag
mutation
genetics
genomics
bits
nibble
stories
models
metameta
metabuch
problem-solving
composition-decomposition
structure
abstraction
zooming
examples
knowledge
human-capital
behavioral-econ
network-structure
info-econ
communication
learning
information-theory
applications
volo-avolo
map-territory
externalities
duplication
spreading
property-rights
lattice
multi
government
polisci
policy
counterfactual
insight
paradox
parallax
reduction
empirical
detail-architecture
methodology
crux
visual-understanding
theory-practice
matching
analytical-holistic
branches
complement-substitute
local-global
internet
technology
cost-benefit
investing
micro
signaling
limits
public-goodish
interpretation
elegance
meta:reading
intellectual-property
writing
The key element in thinking like a physicist is being willing to push simultaneously to extreme levels of abstraction and specificity. This sounds paradoxical until you see it in action. Then it seems obvious. Abstraction means that you strip away inessential detail. Specificity means that you take very seriously the things that remain.
Abstraction vs. Radical Specificity: https://paulromer.net/abstraction-vs-radical-specificity/
september 2016 by nhaliday
What is the best way to read scientific papers? - Quora
may 2016 by nhaliday
how to read a paper
love this answer (eg, figures!): https://www.quora.com/What-is-the-best-way-to-read-scientific-papers/answer/Inna-Vishik
thinking
advice
list
productivity
q-n-a
scholar
checklists
habit
metabuch
qra
soft-question
nibble
learning
meta:research
studying
p:whenever
s:null
info-dynamics
multi
the-trenches
hi-order-bits
meta:reading
love this answer (eg, figures!): https://www.quora.com/What-is-the-best-way-to-read-scientific-papers/answer/Inna-Vishik
may 2016 by nhaliday
On writing | What's new
april 2016 by nhaliday
also: on reading papers
writing
papers
academia
math
tcs
advice
reflection
thinking
expert
gowers
long-term
🎓
checklists
grad-school
scholar
mathtariat
learning
nibble
org:bleg
meta:research
info-foraging
studying
p:whenever
s:*
info-dynamics
expert-experience
meta:reading
technical-writing
heavyweights
april 2016 by nhaliday
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