skysight-inc/HackerNews huggingface dataset:
> given the poor level of funding

Do you have a source for this? According to an OECD study I found, the US spends among the most in the world per pupil on education.

https://data.oecd.org/eduresource/education-spending.htm
http://www.politifact.com/florida/statements/2015/apr/21/jeb...
Well, because it's a free app, I'm even more wary.

That isn't an accusation, btw, just why I prefer email-based logins.
Is it actually tropical rainforests, or temperate, that limit sunlight most? Old-growth PNW forests often have large patches of western hemlocks that produce so much shade that no other tree can grow under it, not even conifers - and unless there's a fire to clear some space out, it can stay that way for centuries.
Many of these meals are vegetarian - it may be good inspiration:

http://eatingacademy.com/personal/actually-eat-part-iii-circ...

http://eatingacademy.com/nutrition/what-i-actually-eat

http://eatingacademy.com/personal/what-i-actually-eat-part-i...
Before his death, Dean Potter was developing the practice of "base soloing" (climbing with only a base rig) [1]

[1]: https://vimeo.com/2872213
The point for the employer is access to a much larger pool of potential hires. Lots of people don't want to commute or move for a job. It doesn't always make sense to require synchronous work, but I can understand why some employers want a virtual 9-5 presence, especially if there's already an established synchronous team.
The challenge for me is always knowing what to eat to help me accelerate my weight loss. I need structure. If I don't have structure, it's easy for me to eat things I shouldn't. I started a weight loss program 5 weeks ago called "Ideal Protein," which uses the Ketosis method. They supply breakfast, lunch, and a snack. I only need to make dinner (plus 2 cups of veggies for lunch). I love how easy it is.

I'm wrapping up week 5 tomorrow and I'm down 25lbs (~14% of my body weight)! They promise 2-5lbs of fat loss a week. I generally drop around a pound a day, but I'll get stuck a few days here and there. This method really works for me.

The best part is how fast you lose it. When I did South Beach years ago, it took me months to hit my goal. I have 14lbs left now and I should be able to hit my goal by Labor Day.

Give it a try.
> respiration is burning the food

Are we accepting that the complex biochemical mechanisms of the cells are identical to burning things in an open flame?

And, that every living human's body processes all foods in exactly the same way, regardless of age, ethnicity, gender, time of day etc? Just like the open flame would?
The impact of sleep/no sleep. Wow.
I appreciate that the author shared his data because it's interesting to compare notes. I embarked on a strict ketogenic diet in 2012 from a significantly higher initial weight and observed a very different pattern of weight loss: https://i.imgur.com/mOt6P.png

I hit a loss plateau around 180 lbs that I couldn't break through until I began eating on an 8-16 fasting schedule like Ariel mentions in his "Further progress" section.

I gave up on the diet during 2015 and have since regained a significant amount of weight, but I suppose that's just an opportunity to apply some of the tracking techniques in this article to my next foray.
It was remarkable how much the price per Mbps dropped in the area once Verizon FIOS entered the market. Just one real competitor to Comcast made a substantial difference.
Thanks mbrundle. I'm the person behind that git repository and honestly am in a bit of a shock that this is making hacker-news.

As I say in the README.md: please ignore the noise, the scales I used had 0.2 pound resolution, and my data-set was too small (and as one snarky commenter noticed, some words were misspelled). What is important is the big picture. There are actually numerous contradictions and irregularities in the data. In particular, any food item that appears only once or twice in the data-set, and is randomly coinciding with other features that make it biased the wrong way contributes to the error of the model.

So as I say in the README, I would ignore anything that's not near the top or bottom, and even those should be taken with a healthy dose of (noise/modeling) skepticism.

Anyway, the code is free for everyone to use so people are encouraged to run the experiment on themselves using more accurate methods and contributing more data. It only requires R+ggplot2 and vowpal wabbit. Cheers.
He's more referring to where Commuter Rail, not subway, is the method. Problems notwithstanding, subway lines other than the Green Line will always win over driving during peak times.

A great example would be coming from Waltham via the Worcester/Framingham Line versus driving along the Mass Pike -- it'd be a coin flip as to what wins on a given day.

Moreover, outside of subway service the only alternative (where available) is bus which can easily double commute times compared to driving. In some cases (Waltham and Newton for example) there's the Inner/Outer Express Buses which also competes directly with Commuter Rail in terms of timeliness (10% slower on average) but at a lower cost -- you can take non-express buses as well which are cheaper still, but tack on another 35-45 minutes each way -- we're talking 3 to 4 hours of commuting a day from northern parts of Boston to central Waltham via a combination of subway and non-express buses.

However, Commuter Rail tends to be faster than driving on longer trips. Such as coming from Providence, Worcester, Fitchburg, etc.
> Warm is certainly always better, but given how opaque ATS processing is and the number of submissions they get, I'm not sure that you're worsening your chances by taking a shot at direct

Completely agree. I always try going the warm route but if I don't have a warm way I'm not going to just give up and go "oh well". Hell no, I'm going to find out as much as I can about the person / group I'm emailing and try to tailor the message so it sounds like they're getting something out of it by opening and reading it versus me trying to "sell them".

Worst case scenario they don't reply. Oh well, life goes on.
"Fooled by Randomness" by N.N. Taleb.

It showed how big a role chance plays in our lives, and how to make the most of it.
So, a re-draw. That's disappointing.

Thanks for the example! That's really all I'm asking/wishing for here...if the library handles live data, show me how. If it doesn't handle it without a lot of trouble, or in ways that look clunky, I know it's not the right library for my projects. It's nice to be able to rule things out quickly.
> - How significant are the estimates of lifestyle factors? Do you have p-values? If you bootstrap resample, how much do the rankings change at the extremes?

His VW script does do bootstrapping ('--bootstrap 16') but he doesn't report it anywhere I see. https://github.com/JohnLangford/vowpal_wabbit/wiki/using-vw-... seems to not report any sort of p-value or confidence interval which might be derived from the bootstrapping. (The 'relevance' is 'the relative distance of each variable from the best constant prediction', not sure what that means.)

So if you want to know, it looks like you'll have to run it yourself and visualize the output. I would guess that the uncertainties are huge and none of them reach even p<0.05 - it simply should not be possible to get mean loss of like 0.2 and reliable estimates of hundreds of variables like 'melon' out of less than 4 months of data when the random measurement error of the scale itself is on the order of half a pound (I have an Omron body fat scale, and even taking 2-3 measurements daily, there's a lot of error) unless his VW regression is grossly overfitting.
They were supposed to be free so they blinked first
Animating the loading of charts and force-directed graphs are the <marquee> and <blink> of the 2010s. In 5 years, they'll seem grotesquely tacky.
It feels redundant to say this with all the others expressing the same thoughts, but thank you thank you thank you John et al for Pandoc. It's been life-changing since running into it a few years back.

I do a lot of work researching older and historical documents. Some of these are available in only scans, meaning image-heavy PDFs, or rotten OCR transcriptions. Occasionally I get lucky and find a solid ASCII source.

A recent case in point, Dugald Stewart's 1793 "Account of the Life and Writings of Adam Smith", which I'd found in ASCII format.

A couple hours (mostly of finessing the markup) to pandoc, and I had a 72 page PDF, ePub, and HTML versions, the former two posted online.

https://ello.co/dredmorbius/post/-h-b6ek6segi8eamq2g6vq

ASCII Source: http://socserv2.socsci.mcmaster.ca/econ/ugcm/3ll3/smith/duga...

Markdown: http://pastebin.com/LdKXpHdR

PDF: https://drive.google.com/file/d/0B6Q6JFf-mAJPY0tfaXlQWUNwLWc...

ePub: https://drive.google.com/file/d/0B6Q6JFf-mAJPdXgwcm1NbDhQdEE...

(The Google Drive docs should be world-readable.)

That's only one of many docs I've fixed up using Pandoc.
I guess if we're sharing fitness plots, here's 1300 measurements and 7 DXA scans:

http://i.imgur.com/J4Ls2bQ.png
Are you suggesting that it's not a legitimate grievance? Unless people are lying about, for instance, people watching porn in libraries, it does seem like there's a problem with the civility of that discussion. I haven't seen anything like that in my area, but I have seen lines of 16 or so desks being used as arcades, which can be okay so long as people remain quiet. But I've seen people have to ask gamers to leave in order to do something presumably more in-line with the goals of the library, which many people, especially kids, will be too shy to do.

In theory, public libraries have been meant for people from all walks of life since their inception. But computer media have made them useful for a lot more things than intellectual pursuits, and it does seem reasonable that this would concern people. It's their taxes paying for it after all.

It would be nice if people on reddit would reflect on why it bothers them that people come to the library on drugs and watch porn, but reddit doesn't have a culture of people writing out three-paragraph justifications for their opinions. I thought that it was pretty clear, though, what people are actually bothered by from the comments you uncharitably labeled "complaining about the homeless".
I appreciate it's 100% speculative, as we are stuck with a sample set of only one, but I'm increasingly of the belief that we're rare (as opposed to first or fucked [1]).

Heavily swayed by a recent reading of Nick Lane's excellent book on Mitochondria[2].

The fact that even our nearest neighbour probably has an earth-like planet is, from this angle, a bit depressing.

[1] http://waitbutwhy.com/2014/05/fermi-paradox.html

[2] https://en.wikipedia.org/wiki/Power,_Sex,_Suicide
To quote Bill Burr on Lance Armstrong:

"The guy was a sociopath on a bicycle. As far as I'm concerned, we got off easy!"

Just keep him on the rocks...

https://www.youtube.com/watch?v=uol6e5YAPqs
As far as I can remember you can't submit assignments in Python, can you? Or maybe you did it in Python first, and then ported in Octave before submitting? If so, how did it work out for you? At first I thought I wanted to go down the same path (because I'm comfortable with Python but not with Octave) but then concluded it was too much trouble backporting everything.
>(e.g., Social Security),

Maybe true for the standard retired beneficiary, but not for everyone. A friend of mine is on SS disability. His condition changes over time and has improved some in recent years. When he can work, he has to make sure he doesn't work too much, or his benefits go away.
Yes and Octave/Matlab is not that far from "standard" mathematical notation anyway... But the exercises were still useful as they helped me remembering the concepts.
And e.g. it redraws the changed objects with the same animation as the initial data, and doesn't "morph" it somehow to the new position. Which you wouldn't know without trying, and might not be what you want. An example would show that clearly.
I took the course a while back and most of the assignments were just straight copying pasting from the pdf or translating some math formula into octave and never more than 10 lines of code. It's so spoon-fed already I don't see why anyone would want to cheat by porting it from python.
Micro 6.0.0: async ES6 microservices made easy
I'm reminded of the Orson Welles "documentary" F is for Fake. I might have to rewatch it tonight.
He advocates a book "The Truth About Statins".

Is it helpful info on evidence based science or mostly zealotry and soapboxing?
Tim Ferriss actually did a podcast interview with Honnold [0] and it delved into how he handles fear and thinks about risk in his own life. A really great interview.

[0] http://fourhourworkweek.com/2016/05/17/alex-honnold/
The Teen Who Made Millions Selling Rare Sneakers
And claims he has Pelosi's data in-hand. Has US policy toward Russia been so spectacularly effective the past eight years that an attack this brazen is worth the risks? I don't think so. I'm not sure who is behind Guccifer 2.0, but it is someone with almost everything at stake in the outcome of this election, or with nothing to lose.
Llvm-Cbe: Resurrected LLVM “Bitcode to C Back End” with Improvements
> What gives me pause is that if "the smartest engineers on the planet"[1] are working at Google, why aren't we reading about Alphabet Space Ventures, or The Alphabet Social Network...

IMO, it's because even if they do have the smartest engineers, the best engineering in the world can't fix a marketing problem. That's marketing not in the sense of ads and such, but in the sense of getting the right product into the right market at the right time. Just on the social network side, Facebook has a near-unbeatable network effect advantage, and Google+/Alphabet Social Network can never overcome that by making a better version of the same thing, no matter how awesome it is from a technical standpoint.

That's not to say that Facebook is invincible or anything - Facebook will go down some day, but it won't be because somebody else built a carbon-copy with a few more features and took their place.
topic: a number of these have "Japanese" in the titles. There is a internet-subculture called "vaporwave" connected with the "dank meme" people. There are...inspired by Japanese culture, they most likely aren't Japanese.

OT rant: this page has made almost 600 requests in the last 4 minutes[0]. My connection isn't the best and I'm seeing a direct effect. Is this the new standard for news sites?

And it's still pulling shit in.

[0] http://pasteboard.co/7XrZrRbhY.png

EDIT: 600, I can't count. Don't worry, it did reach 700 and kept going :)
The article says there are just over a hundred gopher sites in existence. Yay - mine is one of them! I've got 200 or so articles on my website and one day I decided to make them all available as well over gopher. It's easy to do: install pygopherd on your machine for the server, and run your HTML files through an emacs macro that strips the HTML and outputs 80 column text, and you're in business!

It feels whimsical to have a gopher site up and running, but it costs me nothing and earns me nothing. It's there because I like it and because I feel happy knowing it's there. In a way, that's the sentiment behind the Internet in its earliest days. And that's what i like about it - the philosophical purity of doing something for its own sake. And now, for the simple pleasure of posting a link with that old protocol:

gopher://therandymon.com

How awesome does that look? :)
Ask HN: How do I stay productive at a desk during the workday?
I just started a new job (first out of college). I'm finding it relatively difficult to stay focused at my desk for the eight hours or so that I work each day. I have a pretty standard desk chair/dual monitors/stock keyboard and mouse.

Are there habits I should acquire or gear I should purchase to make things easier? Do you all have any tips to stay energized and productive in a desk job?
Sounds like an accurate description of a few places I've worked.
The github link at the bottom gives a 404
Quorum and CRDTs deal with completely different problems.

CRDTs do one thing... they mitigate the issue of "lost updates". All acknowledged writes will be represented in the results of a query and no "winner" strategy is involved that would cause some acknowledged writes to be possibly incorrectly dominated by others and thus lost.

Quorum (strict) just provides a very, very, very weak form of consistency in the case of concurrent readers/writers (RYW) and just very, very weak consistency in the case of serialized readers/writers (RR).

My personal opinion is that any eventually consistent distributed database that doesn't have built-in CRDTs, or the necessary facilities to build application-level CRDTs, is a fundamentally dangerous and broken database because unless all you ever write to it is immutable or idempotent data, you're going to have your database silently dropping data during operation.
Hi friends, I'm Kim, the CEO of Rumi. We're so excited to be one of the YC fellows, and we would love to answer any questions if you have any. Shoot! And buy saffron please- makes excellent gifts.
thanks for the pointers. will check them out.
It does more than that: https://en.wikipedia.org/wiki/Amygdala#Function

Also, anxiety is not the same as fear. Literally being unable to feel fear would be very dangerous.
Not sure how you'd visit gopher sites in Windows. Add the Overbite Firefox plugin available at Floodgap, I suppose. On Unix/Linux "forg" is really nice on the GUI side, and lynx is your best bet at the CLI. Although you'll find the original gopher client in a lot of repos too - all derivatives of Debian/Ubuntu and FreeBSD, at least.
I can give a personal anecdote.

About 3 years ago I began experiments with paleo, I am 5'6-5'7 started over 190lbs and in about 4 months was down to 152lbs. Weekends I would have cheat meals usually a pizza day and burger/fry day.

Around then I began running for the first time in my life. I started out the first 3 months at 1 mile everyday, which I thought was a lot until a high school buddy laughed when I told him.

I stopped eating paleo and increased to 3 miles about 5 times a week. This went on for about a month, when I decided to register for a half marathon and started a basic 12 week training. I tried to restart paleo, but about a month in my legs began to hurt which I attributed to lack of carbs so I again got off. During Summer in Miami I decreased the mileage due to the heat and would get back on paleo still weekend cheat days.

During any of that time I didn't know about Ketosis or I never experienced anything I would call Ketosis.

Fast forward to this year, I completed the Disney Goofy (half day1, full day2), then another 2 halfs during the spring. I was back to about 170, and despite running more mileage than I ever had, I was not pleased with my physique, feeling I looked better even at the same weight while on paleo. So I decided after my last half of the season, I would try to go full paleo without any cheat meals on the weekend with the goal of 5 mile runs 4-5 times per week. I just completed a half the weekend before and Tuesday I did my 5 mile on paleo and felt fine/normal.

Wednesday/Thursday during my runs I got light head and basically though I might blackout, never experienced that before, but I stuck with it. Then by the 3rd week, I honestly felt I was tapping into a different energy source, not that I was running faster but it was just a different feeling and it was amazing.

Despite having combined paleo and running before, my body had never responded like this before. Having read up on high endurance athletes who do paleo after the fact, I believe what was happening is my body was tapping into and burning fat as its main source of energy and I also learned about Ketosis at that time (I believe/understand these to be one in the same, but they may not be). I will note, even my mind seemed different as I began to really think/feel that sugars were a poison and I was disgusted by the thought of breads/sugars, meaning I didn't even want cheat days on the weekend. This lasted for about 2 months without a cheat day and eventually there was a craving for carbs and I had no hesitation about giving in, so I am back off the paleo, and basically the very next run my body was not performing the same as it was. I look forward to implementing a strict paleo diet again without cheat days when the weather cools and I will try to build my mileage up in that state for the next running season.
"When the ancient Greeks came to Europe from Egypt"

As far as I know that is a fringe theory. The very early ancient Greek Minoan civilization [0] were locals. They traded with Egypt, and imported culture, which gave rise to the idea they were Egyptians, but DNA confirms they were European. [1] Culture also seems to have gone the other way as well.

[0] https://en.wikipedia.org/wiki/Minoan_civilization

[1] http://www.bbc.com/news/science-environment-22527821
say what you will about memes but i think that the fact that people are making memes hints at the fact that they are trying to fill some sort of creative void. yes, they are stupid but it's a step up from the previous state which was no creative expression at all.
Wow, this is cool. I wonder what the end game of machine learning is, given its inherently successful only with a noisy data-set?
If anybody is reading this and curious about Ketosis, I'd recommend Taubes book (https://www.amazon.com/Why-We-Get-Fat-About/dp/0307474259). It's a great review of scientific studies done over the years.

I read that 4 years ago, spent another 4 months reading the listed studies, convinced myself it was a good plan, and lost 40 pounds with no exercises. I still do LCHF after all these years, and likely will never go back to a traditional diet, it feels great.
Have you keto-adapted?
I haven't read the book itself, but Roberts' has a reasonable publication history in the peer-reviewed lit and her letters there regarding reduced benefit of statins in women are sound and evidence-based.

That said, it's been known for a while among critical docs that statins should really only be rolled out to high-risk patients. There's been some shady business in the big sponsored trials re. low-risk patient groups that suggests there's insufficient benefit there.

As long as her book doesn't venture far past that territory, it's probably kosher.
Well, I came in skeptical about this, but the analysis seems pretty solid.

To;dr: fairly strong and reliable correlation between depression and posting images that are bluer, grayer and darker. This is predictive in that users can be identified as depressed before they are disgnosed. # of faces appearing in user pics was also indicative of depression. Fewer faces per picture correlated with depression. # of comments more weakly correlated with depression, and # of likes was negatively correlated. Mechanical Turk-tasked humans were also able to fairly accurately identify depressed users, but often identified different users than the machine.

Statistical methods: Bayesian feature extraction with uninformed priors. 100-tree random forest for classification.

Some points of caution: depression is a broad, fairly fuzzy term. The authors acknowledge that this complicates matters. Some self-selection bias possible, as users had to provide permission to access Instagram streams and many users opted not to.
The Percolation Theory reasons that Earth might linger in an uninteresting part of the Milky Way: its galactic backwaters. See:

* [1998] http://www.geoffreylandis.com/percolation.htp

* [2014] https://arxiv.org/abs/1404.0204