skysight-inc/HackerNews huggingface dataset:
> Ad hominem attack.

ok, your point, that accusation does not add much to the argument, and it does not negate the facts I presented? I'm questioning the motive behind the report. and questioning the integrity of amnesty international with supporting facts. it's like someone questioning a propaganda by nazi germany, as it promotes hitler agenda. would you accuse that someone with "Ad hominem attack"

> And just because it's propaganda, doesn't mean it isn't news based on facts.

what facts? this argument is pointless, hearsay is not fact, and hearsay is not admissible in court, that's a fact; we are talking about people who behead other people and eat their liver, do you think it would be too hard for them to make up some stuff and lie. unless they show verifiable facts about dates, locations, victim names, etc.. you can only assume it's fabricated lies.

you should watch a canadian journalist who went to syria and listened to eye witnesses [1], that's a fact, not a report of anonymous people claiming stuff

[1] https://www.youtube.com/watch?v=g1VNQGsiP8M&t=810s
Assad wouldn't have been able to inherit the throne of the Syrian Republic in the first place if not for the green light from all western capitals. This green light lives on for his past and recent atrocities.
According to Craig Venter, early detection is what we need to eliminate cancer:
https://youtu.be/iUqgTYbkHP8?t=15m37s

I imagine sometime in this century, better early detection will become a reality.
The data you see is biased negatively - you have recruiters fees for one sitting above the salaries you see. People complaining on glassdoor are probably not the highest paid team members.

You also have the fact that people who are paid well usually make the connection through their own personal networks over job boards. Hence the job boards have the entry level salaries.

After all of this - for the above average workers, the 'average salary' might be much higher, since they're going to be experiencing better opportunities. They don't get a true sample of the 'average'.
Replying to myself here just to throw out an idea for an easy project that is representative of the type of work a data scientist might be expected to do.

Register as a Twitter dev (free) and get the tokens, etc. needed to access the public API. Pick a topic of interest -- hockey, for example, or whatever floats your boat -- and write scripts to harvest all tweets coming off of the public API related to the topic. Design a relational schema for the tweets and push them into a SQLite database. I suggest SQLite because it's ubiquitous and has a low barrier to entry. Something like MongoDB also works well for dumping everything straight off of the API. You can then have another script pull out of MongoDB and push into SQLite, for example. Once you're collecting tweets, storing them, etc... try some unsupervised clustering; k-means, for example, or a decision tree. If you feel up to it, go through 1000 or so of the tweets manually and label them according to some target variable of interest to the project. Then, use that labeled data set to run supervised models. Maybe start with a binary target variable and run a simple logistic regression. Then, visualize the data. There are a lot of ways to go about this, but I suggest trying to use something JavaScript based, such as D3 or p5.js, since it allows you to create interactive web-based visuals. Create a public GitHub repo and push work to it as you progress through the project. When done, use GitHub pages to put a summary of the project online.

Twitter data is great because there are tons of variables. It's horrifying because it's like reading the refuse of language, littered with abbreviations, emoji, and other weird characters. However, it's the terrible part of it that makes it great for learning.

There are other similar public APIs that would accommodate similar projects. Having a few self-initiated projects similar to this under your belt will really help you when it comes time to apply to graduate school or to jobs. If nothing else, it will give you something to talk about in interviews.
With the right sort of directionality you might be able to get away with having the speaker on the top side and the mic on the bottom, leaving the whole front panel for the screen.

Or be super cool and have a mechanical system that pops out a little speaker at the top and a little mic at the bottom.
But at least you could work out the mapping in your head, without having to refer to a numeric table.
They would never EVER adopt something NIH. Linux is riddled with proof of that. They should still adopt kqueue though. But he is right, it is, just.. broken isn't even the right word. Crime against humanity maybe?

What is so disturbing is this has been known forever that epoll should be drown in a bathtub but no one does, it's just "la dee da I can't here you! I can't hear you!" and Linux trudges on with yet another limp.

As he also says "kqueue and event ports are T-Ball, compared to ZFS and Dtrace and jails are a lot harder... if you got the little stuff wrong..."

It's just frustrating. It's broken. You know it's broken. FIX IT!
I'm not convinced that "^\s(//|#|--)\s(TODO|FIXME|XXX)\s*:" (i.e. a fairly simple regex) isn't a plausible way to do what's required of this. All the colors and everything are nice, but a simple bash script sounds eminently doable.
As an introvert with mild autism I always struggled to develop a personality but I can tell you what worked for me:

Talk to people, even people you think you have absolutely nothing in common with (specially people from different cultural backgrounds than yours, if you have access to any) and ask them about themselves. Be curious and really try to be interested in what they have to say and try to get to know them as people without being judgemental (this was really hard for me at times because I tend to be too black/white). I started at work (because I don't socialize outside of work much) and I literally talked to anyone who would be open to in the office. I struggled at first because I wanted to be listened to too, I wanted to express my points of view, etc but I held back and asked people about themselves instead, after a while people will be curious to hear about you.

Talk to enough people and soon everybody will know who you are, you will be known as a great listener and everyone will want to talk to you, confide in you. Try and learn from what other people have to say, their stories, their personalities, what drives them. This helped me immensely in developing a charisma, knowing what makes other people tic gave me a framework that enabled me to adjust my behavior accordingly.

Anyway hope this helps.
Agreed, nice job!

Blockchain.info and coinbase.com also appear to be dupes in my listing.
Neat.

FYI there are a bunch of duplicates, like Cloudflare itself, Hacker News, Medium, Codepen (just a few of the ones I've actually visited)
> always compare it to be less than a small sigma.

Unfortunately, this approach can result in problems with the usual expectation that equality is transitive. Consider 0 < x < y < sigma. 0 == x, 0 == y, but x != y. This problem applies generally any time you're doing equality comparisons with sigma.
My guess is that It's going to improve the transparency and correctness of ideas. Every website will be like some sort of Reddit but more transparent because the publisher will not be able to censorship you. Also, cross identity. People will start having 1 public profile for every website. I can be Demi on hacker news, Reddit, Youtube, etc.
When asked about salary, people often assume that's a loose ask, and mention their total cash compensation i.e. including bonus. Not including equity though. Bonuses at many companies are in the range of 10-20%, so if one is making 180k, it's easy to round up to 200k in conversation. Plus there are perks and awards.

180k is not uncommon at all. Several candidates from our course have had those numbers. And even otherwise, Sr engineers with a few years of experience, make 180k at most well known tech companies. Of course, not every Sr. engineer makes that much, but those who have had an excellent interview and have negotiated well, very often do.
Wox looks like a front-end to Everything (https://www.voidtools.com/), but with really nice UI and also plugins, etc. It looks nice.
A large part of the problem is that the international financial industry has entirely too much quiet political power. So we end up e.g. subsidizing mortgage interest and student loan interest instead of subsidizing e.g. new housing construction and teacher salaries. The result is that people borrow more money, creating much greater exposure to interest rate fluctuations (but much higher profits for lenders).

Other countries don't have exactly the same policies but they follow the same trend. Income taxes rather than consumption taxes that encourage spending/borrowing and discourage savings, sold as "the rich wouldn't pay consumption taxes" even though they don't pay income taxes either, examples abound.
I would be very interested to see an AskHN dedicated to this question.
Neither the github page or the website say what it is.
I call it the "pastoral approach": Love the coder, hate the code.
I have no idea, I'm not either of those types of people for the current VR/AR/MR industry. And, even if I were, whatever I might say is not certain to be useful to you.

Normally, I'd recommend you interview people working in the space to understand what problems they're encountering now, and what they expect to run up against next, but when they're inventing as they go, by definition, they don't (and can't!) know.

They could tell you their current problem(s), but neither you nor they know if that's a general-case problem, or a problem specific to their implementation. Plus, they'll solve it in parallel before you, because they have the compounded knowledge of all their work leading up to it.

Only the people actually working on the problems know what those problems are, and they don't have time to stop and bring you up to speed. You have to catch up, or at least show you're on the way on your own.

The job listings seem to support this:

Apple wants either a PhD, which means having published papers advancing the field; or industry experience delivering products, which means having discovered problems and then solved them for real users and getting paid for them, end-to-end.

Snap wants a Master or PhD, or "experience implementing, verifying, and optimizing," which is just short of being responsible for shipping a product.

Magic Leap is an internship, but they want "Demonstrated experience," aka having built something yourself.

In this, you can't be a generalist, up for solving any problem. I'm sure you're entirely capable of that, but the requirement is also that you can figure out what the problems are and will be, on your own. In a new industry, there aren't paths to follow, everyone's still cutting down brush.

They're not publishing most of their work, so you have no idea what's solved, and even if they were, I think it's generally accepted that a published paper (or launched product) is a few years behind what's currently being tried in a lab.

You will probably inevitably be redoing someone else's work, but you won't learn that for months or years.

I'm not sure there's any advice I could give except to pick a problem domain, pick a use case, learn all the component pieces of that problem, make new and different tradeoffs, and figure out what's unsolved for the choices you made.
I got a bachelor in CS and went industry for 6 years. I'm coming back for master in applied statistic for data science.

Just take statistic, especially Multivariate for big data (big data for statisticians is huge predictors not petabyte of observations).

Math people can do so much in data science. I think statistic is better for a non math person and it's much better suited for data. Since statistic is all about data.
> But me? Yeah, I'm out. No more whiteboard oral exams, no more uncompensated "take home projects". Done. If this were part of some sort of professional certification, widely recognized in the industry, that I could properly prepare for and take as a lasting, industry respected credential, then I'd do it. But no more tech exams or take homes at the whim of a potential employer. I've wasted enough time on this.

I've never had a big gripe about whiteboard coding exercises, but I'm with you on the take home projects.

My big complaint right now is that it has become increasingly difficult to get through the first level of screening to even get to a proper interview loop where someone could even ask me to code on a whiteboard.
Yep... I'm slightly embarrassed by how little I am earning. I have a nice corporate job with nice projects with less than $12000 (after taxes). In my country that's over two times the national average. However, freelancers/outsourcers claim allegedly having over 50000 per year (with little to no taxing, black market). However those are usually unfulfilling jobs to be honest. So I kinda feel like going the wrong way sometimes. So I lie :)
Even when anonymous?

---

I found this (relatively) old paper[1]. It mostly deals with reporting on government forms, but there is a little bit about sensitivity of the information reported.

Singer, Von Thurn, and Miller (1995) have shown that assurances of confidentiality
reduce nonresponse and/or increase the accuracy of responses to income questions and other
sensitive survey topics. In addition, recent technological advances raise some possibilities for
gathering income information under more anonymous conditions, without the direct involvement
of an interviewer, which may substantially reduce sensitivity pressures and thus yield more
complete reporting. Research is starting to show the benefits of anonymous reporting — for
example, via audio computer-assisted self-interviewing (A-CASI) — on the quality of sensitive
behavior reports (Turner, Lessler, and Devore 1992; Tourangeau and Smith 1996), although as
yet there has been no clear demonstration that income reports would similarly benefit.

Singer, Von Thurn, and Miller (1995)[2] concludes that assurances of anonymity affect response to questions about sensitive data, but other factors may play a role (such as trust in the interviewer, etc.), and the effect "is not large".

1 - https://www.census.gov/srd/papers/pdf/sm97-05.pdf

2 - http://apps.webofknowledge.com/full_record.do?product=WOS&se...
Life Without Law
As I understand it (and have observed), that only occurs within a certain time period. Submissions can be resubmitted. If a submission is flagged, it (often?) doesn't show up in hn.angolia.com at all.
The 8GB iPhone 5C is hell. Just the OS takes up at least half the space.
Just curious, do you work at Google, and have access to salary information? Otherwise, do you have a source for this figure?
Anyone know of a way to annotate online the way Microsoft Word does? Where it highlights the content and points an arrow to it's annotation kept on the right side of the page?
Thanks, that was my intuition as well. I'd actually suggested doing the Stats BS with a couple of intro programming courses, then a data science boot camp, then a couple years as a data scientist before doing the MBA.

The reason for the MBA was so she had a sense of the business value of the analyses she was performing, and, was more 'promotable' to executive positions.
UPDATE ON DRUNK DRIVING CRASH AT ENDYMION PARADE
I'm also a convert from a 2013 Moto X which I absolutely adored. I looked for an entire year for another decent, solid, affordable android phone that I could fit in a pocket easily (4.7"ish). No dice. The pixel looked good but was too expensive. I switched grudgingly to an SE, which cost around 200 bucks less at the time. Couldn't be happier.
Can you elaborate as to why and how? Im genuinely curious. :)
This post might be worth a damn if Tim thought a little bit harder about why Russia thinks Calexit would be good for them.

It's not obvious or true that anything good for Russia is bad for the US, but when you see the country who recently interfered in an election (propaganda, releasing dnc emails) is also interested in weakening the union of your states further.... maybe consider why before jumping on board.
According to Craig Venter, we should sequence everything. Preferably at his institute.
Asking about bubble sort is a terrible question, though. Bubble sort is a bad algorithm by virtually every measure relative to the alternatives. You might as well ask candidates to implement bogo sort.
This data is a good place to start, as it cant really be faked.

http://h1bdata.info/index.php?em=GOOGLE&job=SOFTWARE+ENGINEE...

I would think the median salary there is below the actual median base salary, as americans and those on green cards would on average be getting better salaries.

This figure excludes bonuses and stock compensation also.
This seems like a textbook case of "governmental risk".

Very specifically, whenever the Saudi monarchy falls, Saudi Aramco is likely to be worth literally nothing, as the oil reserves are seized by whatever new government comes into power.

Even without the risk of revolution, the fact that there's currently no real difference between the Saudi government and Saudi Aramco opens a lot of ways that current "profits" can disappear fairly quickly.
When you buy a house, your investment basis is not the total value of the property. It is the cash outlay you make to acquire the property: the down payment, plus the delta between your monthly payment and the rent on an identical property (since you've got to live somewhere).

For most people this is a lot less than the total value of the property. Which means that even if the property only appreciates at the rate of inflation, your investment will grow faster than inflation. Voila: the power of leverage.

> The value of your degree goes down over time as you gain work experience; its peak value is right after you graduate.

I'm not aware of any evidence that this is true. What we know is that on average, folks with college education earn more over their lifetimes than those without. I've never seen any sort of reporting that degrees depreciate "right off the lot" like cars.

Anecdotally I'll point out that most people list their college education on their resumes for their entire careers. And my employer calls the university to verify a degree on a resume before extending an offer--no matter how long ago it was received.

And that's just the paper; it doesn't even account for the value of the actual education itself to a career.
I completely agree. A bird in hand is worth 2 in the bush and all that. However, even today economic theories do not take this into account and assume rationality === choosing the highest expected payoff. I.E. we're all statistical savants
This only works in some magical tax depreciation scheme. In reality, monthly mortgage costs in an area are going to be market driven as are rental prices for the exact same property, and while the two axis aren't completely orthogonal they are somewhat independent. My experience is that in any given year in most regions rent income will not cover house payments/taxes/upkeep without tying up absurd amounts of down payment. I finally bought the house I was renting and my mortgage alone is more than I was paying in rent. Only reason I did it was that it was a long term hedge on the 10% rent increases in my region that I'd been seeing and expecting for another few years at least. I'll let you know if it was a smart play in 30 years...
The Last Question by Isaac Asimov is a classic one - http://multivax.com/last_question.html
> Hong Kong is tricky one

Please elaborate, I'm genuinely interested in why you consider them an, exception(?), or example, to your blanket rule that successful countries have power over others.

> While Estonia is successful considering its past , they are nowhere on the level of other developed Western countries.

So Estonia hasn't met your criteria for a 'successful' country (what is your criteria btw?). Is their relative success compared to neighbouring baltic states a result of them exerting force or power over their neighbours or others? Or something else?

> (yet)

Is the only thing stopping them from becoming successful, exerting force or demonstrating power over others, or are they currently suffering from an oppressive regime doing likewise to them (which is holding them back)?
Do I have to provide a link for you?

I'm not sure what you mean by this. Here are some links I'm providing to you.

https://en.wikipedia.org/wiki/PageRank

https://en.wikipedia.org/wiki/Whuffie
Nope.

Claiming he was against the war, after it started is irrelevant. It doesn't matter how many times you act as though it is.

One person saying they had a private argument with him before the war is also irrelevant. How many other people had private arguments but didn't express these reservations publicly?

If Trump was against the war before it started and had been brave enough to say so there would be evidence.

There is not. You can support Trump without having to be his propaganda ministry. The man makes false statements.
Fuck, I am also trained on a set of human derived data and past experiences. What even is intelligence?
I have found that I often end up forsaking the performance and using a decimal type. It is definitely slower, but the correctness is often more desirable.
Thank you for saying so.

The climate change effort using Hypothesis is located at http://climatefeedback.org/

Also, it may not be readily apparent, but Hypothesis is a non-profit, particularly because we think this technology if ever widely deployed and integrated should be done in a way that aligns with the interests of citizens over the long term.
Thank you!

As mentioned separately, I suggested a data science boot camp after getting the Stats BS, work a couple of years as a data scientist, then go back for the MBA. My thinking RE the MBA was to give a sense of the business value of the analyses she's performing, and, to make it easier to promote her to executive positions.

Maybe that's old school thinking, I know that the MBA in general gets a mixed reception these days, but we can look more closely at it after she's out of school.
If you want to earn more you should still move. In Germany base salary is pretty much your salary as the variable part is pretty limited. Here in SV it is just about half of your salary if you work for a while here. It will also pay with experience that will make you much more 'valuable' for companies outside of SV when you move back at one point.

Another option is to just go to Switzerland (e.g. Zurich). You still have German/similar culture but will earn salaries like here in SV with much less taxes. Similar cost of living but after you payed your basic needs everything else above is just a lot more to safe for your future or enjoy life with (and if you invest in stock you don't even pay a cent for long term gains in Switzerland which makes it even more attractive the more you accumulated over time).
After reading much of the discussion, my conclusion is that it's past time to deprecate the x87 FPU. Ever since x86_64, it is expected that SSE2 will be available and compilers are expected to use it over the old FPU. Face it, this is an old Intel hardware "feature" that causes problems and has been obsolete for a long time.
I hope the whole planet (and not just the people who control oil and the media) get a reality check and switch to renewable/green energy sources as we are really poisoning our planet. But since Oil is a big-business the fight to get rid of it before IT gets rid of us will not end any time soon.
Meet Flint OS, a Chromium OS Fork for Raspberry Pi and PCs That Runs Android Apps
Ive been involved in projects where this was an issue. The main problem was that operations were not abstracted away from the types or boilerplate.
Thanks. Yeah I finally realized that's what people were talking about.

I don't entirely understand the appeal in 2017, it seems like it gives worse performance, worse guarantees, and is more complex than the equivalent CRDT.