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Arvind Narayanan

arvindn.livejournal.com · Personal blog · on HN since 2008

Arvind Narayanan, a computer scientist, wrote on this LiveJournal about data, privacy, web traffic quality, caffeine and startup topics.

What HN saysCommenters link it for a power-law-style data fit that kept working on new datasets, and for his analysis of low-quality StumbleUpon traffic.
17HN people shared it
7linked it in comments
35stories submitted
654story points
10 years agolast shared
2008people per year2026

Most-shared posts

  1. 1
    The calculus of caffeine consumption
    7 people · 86 points · first shared 2008 · 16 comments on HN
  2. 2
    StumbleUpon Considered Harmful
    2 people · 2 points · first shared 2011 · discussion on HN
  3. 3
    Why read books if we can’t remember what’s in them?
    1 people · 106 points · first shared 2012 · 71 comments on HN
  4. 4
  5. 5
    Harvesting email addresses surreptitiously
    1 people · 68 points · first shared 2010 · 26 comments on HN
  6. 6
    Is Chess with Queen Odds a Provable Win?
    1 people · 52 points · first shared 2011 · 43 comments on HN
  7. 7
    Amazon is not the enemy
    1 people · 49 points · first shared 2009 · 65 comments on HN
  8. 8
    Thoughts on the Y Combinator interview process
    1 people · 43 points · first shared 2009 · 8 comments on HN
  9. 9
    The death of the printed book is closer than you think
    1 people · 33 points · first shared 2009 · 34 comments on HN
  10. 10
    The anatomy of a privacy meme
    1 people · 29 points · first shared 2010 · 2 comments on HN
  11. 11
    Why Craigslist needs to die
    1 people · 25 points · first shared 2009 · 25 comments on HN
  12. 12
    Python is now Blub! Run!
    1 people · 23 points · first shared 2008 · 47 comments on HN
  13. 13
    How to protect your password from keyloggers
    1 people · 21 points · first shared 2010 · 9 comments on HN
  14. 14
    Bookmarklet to bypass NYT registration
    1 people · 7 points · first shared 2009 · 3 comments on HN
  15. 15
    Remember when being a geek meant something?
    1 people · 6 points · first shared 2010 · 3 comments on HN

What HN people wrote when they linked it

randomwalker · 2008-12-02
Man, this never gets old. Every time I see it work on a different dataset, it's as surprising as the first time I saw it. Recently I plotted supermodel incomes. It was an amazingly good fit. http://arvindn.livejournal.com/98510.html
lionhearted · 2009-12-23
If this sort of thing is fascinating to you, and you consume caffeine, you absolutely must spend the short time to learn about antagonistic and reinforcing caffeine usage. I've read a few papers on it, but I'm not finding any of the best ones by googling. This link has a short overview though: http://arvindn.livejournal.com/57651.html > What is common to these tasks is that progress happens in spurts, due to the fact that they involve frequent cognitive bottlenecks. A cognitive bottleneck can only be overcome when attention level exceeds a task dependent, typically very high threshold. Clearly, then, antagonistic caffeine consumption results in worse-than-normal productivity, because it flattens the attention level curve and decreases the fraction of time spent at peak attention level. Instead, reinforcing consumption helps maximize productivity (the red line). According to this strategy, the best time to drink coffee is when you are already very alert. Basically, caffeine gives you a boost, then withdrawal. If you're doing creative work, time your caffeine consumption to your high energy periods, then rest during the withdrawal. If you're doing rote, repetitious work, take caffeine during your low periods to smooth your energy out. This is incredible for your productivity, especially if you're doing creative work that you can't brute force yourself to finish. Highly recommended, almost should be mandatory for any anyone who consumes caffeine and does creative work.
another · 2011-07-06
But what sort of traffic? See, e.g., Arvind's comments on StumbleUpon visitors: http://arvindn.livejournal.com/133249.html To quote the takeaway, "most of the traffic generated by StumbleUpon users to any given site is going to be low quality because the dopamine junkies make 100x more clicks".
ivank · 2011-03-29
Possibly inspired by Pypes: http://arvindn.livejournal.com/68137.html
bravura · 2010-12-16
Honestly, this data should be free, and available to researchers who work on social tagging. You should contribute your bookmarks to a public data set. http://bulk.archive.org has offered to host such data sets. Someone should build a webservice that allows you to easily share your delicious tags. If no one steps up, you can simply email me your export (turian at gmail), and I'll package up whatever I receive. Here is a delicious data set, for those who are interested: http://arvindn.livejournal.com/116137.html I have some other social tagging datasets in my file. Let me know if you'd like me to dig them up.
lutorm · 2010-03-31
An interesting and very different take on caffeine consumption strategy was posted here a while ago: http://arvindn.livejournal.com/57651.html The idea is that you should use caffeine when you're at your peak, because you want to maximize your productivity for doing really hard stuff that you normally would only accomplish when you're having a creative spurt anyway.
abscondment · 2010-03-05
Via coffee. Scratch that; via well-planned caffeine consumption: http://arvindn.livejournal.com/57651.html

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