skysight-inc/HackerNews huggingface dataset:
> Because there is a fairly strong correlation with unemployment and cognitive indicators

You're arguing that there's an endogeneity effect -- that poor cognition causes less working? That's a common problem. The authors discuss their use of an instrumental variable technique to avoid this issue.

> parabola is already being "forced down" near hours worked = 0

Not sure what you mean. Typically a model like this includes a constant to allow for a non-zero dependent variable when all the explanatory variables are zero. To do otherwise in this case would be absurd. The idea that the average non-working person has zero cognitive function...

> smooth, quadratic curve, is a mirage

Ever heard of a Taylor polynomial?
To be fair, most other developed nations don't have the American military or a worldwide reserve currency either...so comparisons are kinda moot...
As an ex-myntra (part of flipkart) engineer, the efficiency of the engineering systems is too low. Tried too many things by taking customers satisfaction for toss. App only is the worst thing they tried out and it backfired alot. At the same time Amazon stuck to basic principles like customer satisfaction and quality of the services.
The nonchalance of these people is what really terrifies me.

They just laugh any valid criticism off and start using the references "ironically" themselves.

I don't understand how they can do that; do they not have a moral compass? are they psychopaths?
Yea, I thought that was a pretty incomplete part of the documentation when I looked through it recently. I haven't done any budgeting in ledger, but the section on virtual accounts seemed like it presented a better way to do a budget: http://ledger-cli.org/3.0/doc/ledger3.html#Introduction-to-L....
I share your concerns. The post-9/11 scramble for homeland security funding in academia really killed my enthusiasm for the AI/ML stuff I was doing at the time.

The message that is heard when tech people sell AI/ML is 'magic cure-all' and it basically comes down to not understanding Bayes' theorem: If your algorithm has any capacity to make type one or type two errors (even if the success rates seem impressive) bad things will happen when you look for infrequent events (terrorism/crime) with low priors: you get more bogus hits than true ones. Once the priors get to 50% great, but then you have bigger issues (civil war and chaos). Law enforcement is then obliged to follow up on those bogus hits which given the size of the population can be overwhelming.

And that is even before you get to ethical minefields mentioned above. Making decisions about people based on models that the implementer might not even fully understand is unnerving. It makes it easy to slip in social/socio-economic assumptions about people for those who would like to try. Even if the implementer acts in good-faith, it can easily happen inadvertently. Given how little is known about how to deal with social problems in general, trying to paper over that ignorance with AI/ML makes everything worse. It is operationalizing ignorance with high-efficiency.
Or, if you are time impaired, there is of course Minority Report the film, starring Tom Cruise. Not as in depth, of course, but not a bad adaptation imho.
I'm saying that I wouldn't argue that communism (in the sense that all value produced is publicly owned) is a good economic system.
It's a mix of different issues going on in that comment:

- Some kind of perfectionistic NIH accounting system is probably not what people have in mind when they talk about this personal finance accounting being useful

- The project details seemed to overcome the initial scope

- Rather than addressing the need for a more elegant framework for personal accounting, OP decided to just make more money, and for all we know has discarded personal financial accounting

- We know not what kind of blind spots this may have created (for real: You are absolutely discarding a level of granularity and the freedom to find a way to make use of it)

- While we can trust that OP will probably be fine, we are left to wonder if it's really so great to tell people not to do this kind of accounting when you kind of turned it into a hyperbolic mess when you implemented it yourself.
I'll pay you $20 to use the cross walks in Chicago.
How is it in other languages? In German there is only "Unfall" for both crash and accident...
You're probably right - I just noticed they were different on say, Air Canada vs Qantas and assumed the aircraft type was the differentiation. If I was travelling again I'd just buy adaptors from AliBaba.
Seems you were lucky that the expert you didn't need had written up a style guide.
I use "aAccounting plus" app by iSchule.ch double entry system.

I enter everything as it happens.

it is not perfect but it is the best app I have found so far that aligns with my various philosophy's.

it can generate XL spreadsheet and PDF reports.

easy way to see where one spends one's money
Yes because pretending it does not exist and not understanding how things worked prior to rust is totally realistic.
In my experience, when you're in the "invention phase" is when it's most critical and beneficial to have and demand more discipline around your output artifacts. Precisely because keeping context and content around your fast iterative decision-making and implementation phases is critical to avoid wasting time on duplicated effort or needlessly repeating mistakes over and over again.

Literally every situation I've ever seen in 20 years across all manner of marketplaces and every imaginable stage of development has had the immediate faux-gains made from ignoring spending 10%-20% more time now (to produce something at least coherent, commented, and composable) ultimately overwhelmed by the soon-to-be-immediate costs of having to live with the consequences of the dubious "shortcuts" taken.

I agree with you that it's extremely hard to achieve maintaining that kind of discipline when under the gun, but that's a people management and expectations problem, not an engineering effort problem. I'm 100% certain that in any given window of time, no matter how crunchy that crunchtime is, that if my team spends 10-15 out of every 100 man-hours producing a higher-quality "minimally acceptable" artifact that they'll both materially accomplish more in that first 100 hours than if they'd spent all of it hacking together a barely working dumpster-fire in the same window of time, and that it will pay glaringly obvious dividends for their productivity in the next 100 hours after, and the next after that, and so on.

Lacking that discipline is neither a necessary condition nor a near or long-term benefit to a prototyping or product development cycle. It's purely a function of leadership, expectations management, and experience.

(I'm even giving the benefit of the doubt that what's being done "hasn't existed before", which is overwhelmingly not the case. More typically it's different people and different teams just painfully learning the same hard lessons in parallel, often because there's an assumption/delusion what's being done is a legitimate pioneering effort instead of the probable reality that it's really a minor variation on something else that already has well-established successful models available to learn from and mimic.)
> the article is arguing that accidents almost never happen

The article is citing a specific statistic claiming that 94% of crashes are the result of some sort of risky behavior. If that's the case then those people fail to appreciate the gravity of their behavior and maybe our society, for everyone's sake, should make more of an effort to impress that upon them.

Choosing to use an accurate and neutral term like "crash" as opposed to an implicitly exonerating term like "accident" seems like a pretty modest step in that direction.
I'll become an early adopter if the "document store" that's mentioned is not Mongo.

Edit: Please tell me whether or not it's Mongo.
Anything is Possible
Graal and Truffle
I started out doing that. And inevitably I'd wind up refactoring multiple similar projects into reusable code and conventions. Over many years I arrived at this:

http://qbix.com/platform

Now I can assemble a website that works everywhere and has best practices, by expressing exactly what I want in high level code. When modeling a new app or talking to our developers about architecture, we can use a common language of users, communities, streams, access, realtime pushes and offline notifications etc. People know what I mean when I say "the Patients/account streams should be published by the community and have Patients/photo stream templates for the admin role, related to Patients/gallery category stream published by the logged-in user."

Everything is namespaced, reusable, interoperable and works on every device. It took a long time to make the system but now we can assemble apps like out of building blocks, and have anyone work on anything and know what the conventions are. So yeah, it's paid off!!
He works for a company called Astral Health, of course he's serious.
From a technology standpoint, there was a real break around 1995 or so. It's not so much the consumer tech itself. Oh, it's incrementally advanced in a lot of ways but a 2016 laptop, for example, would be clearly recognizable as such to someone in 1995. A smartphone less so but it would have existing analogs in devices like the Palm Pilot.

What would be vastly sea-change-levels different is the pervasiveness of connectivity and access to a vast store on even real-time information and data about almost everything.
Forth is awesome. Simple as that. But it's important for people (especially those just being exposed to it) to completely understand why, and what it's done for everyone.

The indirect threading model was absolutely brilliant. Almost every bytecode VM in existence today owes Forth (and Moore) a giant "thank you." If you never write a lick of Forth code ever, you'll be a better programmer just by researching how its put together.

Forth also pushed for simplicity before it was fashionable. Most "modern" languages pride themselves on their landing-page code samples:

sum = fold (+) 0

But, again, this is old hat for Forth programmers. Languages today use a lot of great, new ideas to accomplish this: FP, pattern matching, closures, etc. But Forth was pushing - back in 1970 - for all functions to "do one thing" succinctly. If it can't be done in one line, you needed to factor the code some more. And, it's not just that the result is one line, it's that _anyone_ can look at it and know what it does instantly. Remember, this was back when BASIC and FORTRAN ruled with GOTO.

Finally, I feel that Forth programmers learn - early on - something I don't see many (very good) programmers learning today: instead of constantly abstracting and obfuscating to try and "simplify" a solution, take a step back and try and simplify the _problem_ so the solution is obvious. For example, this is what I feel the Rust team has done with memory management. Instead of just throwing more brain cells and cycles at trying to improve old-hat solutions, turn the problem upside-down and - in essence - remove it entirely.
Maybe I'm thinking about it differently then. Accounting has been absolutely instrumental on my path from $20k/year to 6 figures (in 4 years). Without it, I'd piss all my money away because I have no idea how to handle these kinds of sums mentally and emotionally.

Accounting keeps me in check so I can use my money in ways that make more money instead of fritting it away.
But the super wealthy -- the ones the Sanders crowd really dislike -- don't tend to have earned income anyway. They primarily benefit from capital gains which are entirely exempt from SS and Medicare entirely.
I do enter everything manually right now. The hledger add command mentioned in the article speeds up entry.

Also, there are ways of importing CSVs from your bank data: http://hledger.org/how-to-read-csv-files.html
Given that ML is likely going to be used more and more -- even if not for criminal justice applications, at least in the private sector (credit scores/loan applications, insurance, etc) -- I wonder if there's a way to develop standardized "anti-discrimination standards" and then apply some regulation to any ML algorithm that makes a "life-altering decision" by some definition?

E.g. -- a "differential discrimination" test of sorts: altering any one variable of a "protected class" such as race, gender, religion, etc. does not change the answer. You would maybe want to pick a set of canonical test profiles among real people who differ only on one axis (as closely as possible), rather than just take a test point and alter one axis directly, because you'd want all the relevant correlations (ZIP code vs wealth, etc) to remain authentic. The end result would be a set of "equivalence classes": sets of human profiles who must be considered equivalent on all relevant life-altering judgments.

Or perhaps a "unit test"-like approach: similar to how one creates a unit test for each bug one fixes, create a "criminal justice ML algorithm test suite" with canonical profiles and their results: you must judge this person to likely not re-offend, you must judge that person as a high risk, you must judge this person worthy of a home loan for $X, etc. Sort of like a body of case law. I guess the risk is overfitting -- so maybe this data set is held in trust by some regulatory agency and not revealed.

People have probably thought about this and I haven't read your links -- is building a test data set and building regulations around it something that's considered?
Yup that's the argument mentioned: React is "simpler", "anyone can see"...

Brevity isn't simplicity. The simplicity is being easier to install, build, read about, debug, consume APIs with, send data between, talk about to other developers... and yes, "reason" about.

myMod.component('Foo', {
template: '<h1>{{$and.better.templating}} {{see()}}</h1>',
controller: function() {
var and = {this_one: 'does_stuff'};
}
});
Aren't those products loss leaders for the purpose of eventually making money off of software (games fall in this category)/consulting services?
Join – Statvoo – Discover everything about a website
YNAB was/is a great tool and would have continued to use them if not prompted to change. I was not using the budgeting part however.
What Happens When a Harassment Whistleblower Goes on the Science Job Market
A non-blame culture way to look at it would be to ask why people fall asleep at the wheel and try to prevent it from happening. Can we make cars and roads that promote alertness? Can cars detect sleeping drivers and wake them up? Can they detect tired drivers and refuse to start?
Why are people driving despite being sleepy in the first place? Are they working two jobs to make ends meet?

I am not opposed to blame culture per se, I think problems should be solved at the most logical level. Sometimes a systematic solution is the easiest, and sometimes removing jerks is the easiest.
Los peligrosos efectos, de vivir cerca de una antena de telefonía móvil
In 2015 traffic fatalities shot up 8% vs the prior year. This is the most recent data we have. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/...

Regarding your last point, the US is not catching up with the other countries, it is falling behind. In the last decade US fatalities have fallen by a few points but in Germany they fell by half.
I know, it's almost as if they don't consider you the sole and undisputed arbiter of the limits of technology in creating social policy. What a bunch of psychopaths!
Melania Trump's speech plagiarizes parts of Michelle Obama's
Sure it's a pain at times. But is there any other tech that makes it so easy to build apps/sites that work on anything from from a widescreen desktop to a smart phone?
Definitely. We live in wonderful times.
>I disagree. I'm glad that science is becoming less associated with the "hard" sciences and is being used more broadly.

But what do you mean "used"?

In politics, the term "science" is extremely potent. Claiming that science is on your side is commonly done to dramatic effect in order to sway opinions. This effect is very useful in those cases where science tells us something irrefutably important, such as the future of the temperature of Earth's atmosphere or the effectiveness of medical interventions. But it's also very abusable when the standard of proof is relaxed, since it becomes easy to use defeasible reasoning to produce "science" which supports someone's ideology with the borrowed charisma of the physics department.

And now, my favorite example:

http://thelastpsychiatrist.com/2010/06/are_certain_behaviors...
>and worth more than them now

You cannot trust any valuation that comes out of China.
Google is an example that writing production code that doesn't use exceptions is possible, not that this is the right thing to do.

They said that their decision was primarily legacy-motivated (in short, they were fearing that introducing exceptions in a non-RAII codebase would lead us to a long period of instability).

I'll add that in some situations (e.g when freeing resources) the control flow gets very convoluted, and you don't want to deal with directly.
See: Andrei Alexandrescu - Declarative Control Flow ( https://www.youtube.com/watch?v=WjTrfoiB0MQ )
Well sure, but while I agree that the length and breadth of the toolchain has become stupidly long, the demands of today aren't the demands of yesterday. Take my VR boilerplate, for an extreme example: what are you supposed to use instead, VRML? :)
How is it typical of Indian businesses? I feel like this is overgeneralizing that aspect.

I can see what you mean in this specific instance though. I wonder if its just lack of experience in transitions from a small company to a bigger one in the India startup environment.
It mostly seems to be, but don't overlook the occasional pearl when they manage to trick a competent person to work for them.
Millennials do value work ethic less than other generations: "Asked who has the better work ethic, about three-fourths of respondents [edit: Millennials] said that older people do" (http://www.pewsocialtrends.org/files/2010/10/millennials-con...). This can be good or bad but either way it might have some effect on the relative earnings.
Considering that the U.S. economy has been a long term bull run since 1900, it seems increased government spending actually help economic growth. But anyway, the percentage of government spending on GDP has been stabilized in the last 30 years.
Sprint Goal – Boost productivity by defining focus
Hilarious boy goes off on Pokemon Go
Because those high-tax European economies are doing great right now... </sarcasm>
Login – Statvoo – Discover everything about a website
Show HN: Security checklist for developers
LOL what a bunch of shit. Everyone needs a budget.
Im hoping this attitude becomes more common.
I live in LA, and in my daily commute I encounter the aftermath of a collision on a weekly basis.
How much of this could be prevented if more people could walk or take public transport to their job, to the store, to the bar.
Unfortunately culture, (IMO) the auto + oil industry, and the lasting nature of auto infrastructure all push this outcome farther from reach.
The proliferation of autonomous vehicles will be an incredible development, but in some ways is a technological bandaid over the underlying social/cultural/political problem.
Is there a comparison somewhere to help someone decide between ledger, hledger, and beancount? I can't determine from the website what sets it apart (or even how it really works...ledger and hledger both have lots of screenshots, examples, etc.

Oh, nevermind. The ledger website includes it in their list of "ports to other languages". Beancount is a Python implementation of the same basic system.
I defined it in the relevant way in the post you're responding to (indeed, inbetween the very words "prime" and "cardinal" where I first invoke the concept): the relevant notion is of a cardinal which can't be factored as the (Cartesian) product of cardinals other than 1 and itself. [Yes, people often call this concept "irreducible" instead, but I used "prime" for convenience, and explicitly described what I meant by that.]

This is the concept that is relevant to the provided proof: Gowers argues that, if a group's size is an unfactorable cardinal, then, by Lagrange's Theorem (which tells us |G'| divides |G| whenever G' is a subgroup of G), it has no intermediate subgroups. Thus, if the additive group mod whatever has size an unfactorable cardinal, then every homomorphism into it is either constantly identity or surjective (as its range is a subgroup); accordingly, multiplication by any non-identity element would have to be invertible (modulo whatever), which is the desired instance of Bezout's Theorem.
The link is returning a 503 error: "all of our servers are busy right now. please try again in a minute"

Looks like the Fusion Reactor story caused a meltdown of Reddit's servers :)
Full costs and income of a £1m independent feature film
When I go to the qbix website, and click on the "for Developers" link, nothing happens. Possibly something would happen if I played with my NoScript options.

Now I have some choices: allow javascript in order to read plain text, or ignore your web framework.

Guess which one I picked.
Ruining the Magic of Magento's Encryption Library
I find the Redux ecosystem to be one of those areas that sounds great in theory, but that in practice has quite a narrow range where it's a good fit. If the web app's data model is simple enough, it can easily keep track of mutable state directly and just rerender everything on any relevant change with acceptable performance. If the model is complicated enough, the simple data stores provided by Redux and the like lack power and flexibility until you build a lot of other architecture around them, at which point you might well be better off building something catering to your project's exact needs anyway. I can see that there might be a happy zone somewhere in between, where building with tools like Redux and its surrounding ecosystem does pay off, but I've yet to work on such a project myself.
Here's the write up from SI[1], which has a lot more analysis.

Found this part interesting: In his plea agreement with prosecutors, Correa acknowledged that he employed “sophisticated means” to mask his identity and location.

So I'm assuming he just used a VPN to mask his IP? How sophisticated did the Cardinals get, here?

Probably too early to tell if the Astros science experiment is working, but for those interested this[2] write-up from a few years ago is some great reading for the Baseball inclined.

[1] http://www.si.com/mlb/2016/07/18/cardinals-chris-correa-hack...
[2] http://www.si.com/longform/astros/
Not having a driver's license is not a significant barrier to driving; it just makes it harder to get insurance and register a vehicle, and makes any traffic stop a big deal.

There's some amount of societal good done by having looser standards for a license to keep more vehicles registered and more drivers fiscally responsible[1].

[1] generally through insurance
Isn't that just a measure of perception?
I fail to see what is unscientific about stating conditional probabilities. Astrology is unscientific because the orientation of the heavens is for the most part independent of the observables of a person's life. But the inputs to Berk's system clearly do effect the probability of committing crime. A frequentist would say that a large group of people with this set of characteristics would yield more or fewer criminals; a Bayesian would say we have more knowledge about whether such an individual will commit future crime. These are scientific conclusions. The question "how should we use this data" is a question of ethics, not science.
I've been using the standard version with Ubuntu (Kernel 4.4) and the Broadcom driver is also perfectly stable for me.
I just save (401K, HSA, etc.) a set amount from every paycheck, and view the rest as "spendable" and don't worry about accounting for it beyond that.