skysight-inc/HackerNews huggingface dataset:
I can imagine hospitals being so large (and coupled with mandatory-service emergency rooms), that there would be a lot of hoops to extricate themselves. But smaller private providers surely make the choice more voluntarily. Tangentially, I'd venture that if billing and other deadweight overhead were actually reformed, current Medicare reimbursement rates would actually be quite profitable.

But regardless, either of the archetypical sane systems requires correct reimbursement rates. If not corrected in a functioning market, Medicare doesn't get services. If not corrected in a single-payer government system, then the hospitals go out of business. Healthcare cannot be reformed without solving this problem!

> It's the same reason that every PC laptop you purchase has a thousand different model names and numbers, even though they're all 99% identical

I too see this as another instance of the same general phenomenon (although obviously not as harmful). Computation is being wielded to generate unbounded complexity, to destroy individuals' ability to understand situations for making rational self-interested choices. If you want an even worse one, try buying toilet paper!

I'm not one to reactively say "there needs to be a law", but it seems if there is any economic function of government, it's to facilitate the understandability of transactions. Saner states already have "unit pricing" laws, and they're badly in need of updating to restore their usefulness.

I don't hold out hope given the dysfunctional state of government, so my only real hope is that we can build bottom-up technology to fight back by cutting through the artificial complexity, restoring individuals' economic ability. But that's clearly a long slog away.
Everyone in this thread acts like LinkedIn doesn't know exactly how bad they are.

They are the perfect amount of bad for the sake of their business: Their minefield of garbage makes them loads of money, but it's not so bad that a successor can unseat it (ie not at MySpace levels).

LinkedIn does a fantastic job of living on that edge. If they keep being shitty but not super shitty, they'll continue to win.
As I read their post, they were actually saying something more akin to "it's perfectly fair for low and middle income people in rich countries to complain about policy regimes limiting their ability to share in domestic productivity gains even though there are much poorer people overseas, since those policy regimes aren't actually anything to do with those poorer people"[1]

Which didn't strike me as the sort of sentiment you'd tend to disagree with either.

[1]by implication they're arguing they'd be less bothered if their purchasing power wasn't growing due to outsourcing competing with their job, since at least that'd be helping poorer people out.
That's not what a p-value is. A p-value is the probability of getting by random chance a result at least as extreme as the measurement. This is not the same as the probability that the effect you measured is due to chance. The latter isn't even well defined without additional assumptions.
Contact me at support@betapage.co
More important for color is extraction time and amount of ground coffee you use.
Required sign ups during checkout is almost certainly a business idea. You'll never find a working designer that wants to include flow-breaking elements like a required registration.
Thanks for the very interesting thoughts.

Could you explain a bit how your rule of thumb works and why it's better than p-values? Why is the difference vs. the square root of the max available sample size a meaningful measure?
Seagate phish exposes all employee w2s (also hits Snapchat+GCI)
For giggles and grins, my aunt and uncle are an actual example of one of the classic frequentist vs bayesian examples where frequentist statistics says that something utterly irrelevant should matter.

Scenario 1 (true). Bill and Lorena had 7 children. 6 were boys, 1 was a girl. Are they biased towards having one gender? A 2-sided p-value says that there are 16 possibilities of this strength or more, each of which has probability 1/2^7, for a p-value of 2^4/2^7 = 1/2^3 = 0.125. We therefore fail to reject the null hypothesis at a p-value of 0.05.

Scenario 2 (also true): Bill and Lorena decided to have children until they had a boy and a girl. They had 6 boys then a girl. Are they biased towards having one gender? An event this unlikely could only happen if they had 6 of the same gender in a row, which is 2 possibilities of probability 1/2^6, for a probability of 2/2^5 = 1/2^5 = 0.03125. We therefore reject the null hypothesis at a p-value of 0.05.

Now the Bayesian gotcha. According to Bayes' theorem, the intent of Bill and Lorena can have absolutely NO impact on ANY calculation of posterior probabilities from prior expectations. There is no logical way in which this fact should matter at all. And yet it did!
New from O'Reilly: Essential Copying and Pasting from Stack Overflow
Why would a museum not want to have art scanned? Especially antiquities. Whats the logic behind it?
Interesting, can you give an example?
> It’s not as simple as just changing the signal. In order to change it out and modernize, you need to update the entire system.

Does anyone have any idea why this is? What prevents new signals from being backwards compatible with the old system?

And if this were true, wouldn't all of the signals need to be the same hundred year old type? How would line extensions ever be able to be done in that case? Is the system segmented in some sense? If it is segmented, what prevents further segmentation to allow incremental updates of the signals?
Fascinating ^^. Removing the minus before the integral and changing 1-x to x is the difference that matters. I would have though that wa is so quick with those transformations that it doesn’t make a difference. Well, I was wrong :).
Setting Up a Stratum 1 NTP Server on a Raspberry Pi
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FWIW, an LLC can elect to be taxed as an S-corp.
People are very proud of them selves when they find a bug. It makes them feel extremely good about themselves. While gloating they will say things like "these Muppets don't even know how to write software". So when they find this bug, it becomes the most important thing in the world and it needs to be fixed asap. This is where you need a good project/product manager.

I once witnessed a tester running into the room with his hands waiving above his head holding some papers, screaming over and over again "I found a bug! I found a bug" before he then ran out the room again...
Apple Mac computers are at risk of new ransomware KeRanger
Even if we were to intentionally just scatter all the nuclear waste along road sides in urban areas, nuclear would likely still remain one of the safest power sources.

Disposing the waste is largely a political problem.

And that is with old designs producing nasty waste. There are newer designs that would be able to reuse some of that waste as fuels, and there are many newer designs that produces far less dangerous waste to begin with.
Yep, every group of people comes up with their own lingo, but its directed at the common (business, sports, etc.) process not the people themselves.
The Problem with Hillary, Chez, Is I Don't Vote Republican
so even if the service isn't free you're still the product.
I disagree. And I agree. What I disagree with is that you shouldn't learn bookkeeping. I agree that you should learn accounting.

The problem is that you do need to know the basics of bookkeeping to learn accounting.

And seriously, learning bookkeeping takes maybe one or two weekend and you will use what you've learned the rest of you business and professional life.

If you can't commit at most two weekend of your life to something as important as the basic building blocks of finance and accounting, then you probably shouldn't consider running your own business.

And yes, bookkeepers and accountants will cheat you. The stories are numerous. And the marks are always executives and entrepreneurs who never bothered to learn bookkeeping and accounting.

Finally, basic bookkeeping knowledge (as expressed in this tutorital) is crucial for making informed evaluations of accounting software (which is honestly going to do most of the actual 'bookkeeping' for you).
QA Engineer  Talix
I am just a guy who sometimes whines, so I wasn't offended.

Every system has fraud and abuse. I doubt that most fraudsters would opt to get close regulatory scrutiny, but I take your point.
That "[employers] want few things more in life than for their engineers to remain really, really smart at developing distributed databases and really, really stupid at salary negotiation" is one of the most valuable career-enhancing lessons a developer could possibly learn. I want to etch it into CS101 classes. Learning it late is better than learning it never, though. Well put, Patrick.
TB was found in pre-Columbian South American human remains, so was in the Americas at some point.

Syphilus was brought back from the new world and killed lots of people.
If they held the same meeting 20 times, would they reach the same conclusion in 19 of those meetings?

On a more serious note, I think that the use of the word "significant" to mean "the effect is reasonably likely to exist by some standard" should be abolished.

Webster's 1913 dictionary says:

> Deserving to be considered; important; momentous; as, a significant event.

Statisticians don't use "significant" to mean important at all -- they use it to mean "I could detect it". This is bad when someone publishes a paper saying "I found that some drug significantly reduces such-and-such" -- this could just mean that they did a HUGE study and found that the drug reliably had some completely unimportant effect. It's much worse when it's negated, though. Think about all the headlines that say that some treatment "did not have a significant effect". This is basically meaningless. I could do a study finding that exercise has no significant effect on fitness, for example, by making the study small enough.

A good friend of mine suggested that statisticians replace "significant" with "discernible". So next time someone does a small study, they might find that "eating fat had no discernible effect on weight gain", and perhaps readers would then ask the obvious question, which is "how hard did you look?".

This would also help people doing very good research make less wishy-washy conclusions. For example, suppose that "vaccines have no discernible effect on autism rates". This is probably true in a number of studies, but it's the wrong analysis. If researchers who did these studies had to state the conclusions in a silly manner like that, maybe they'd find a more useful analysis to do.

Hint: doing big studies just so you can fail to find an effect is nonsensical. Instead, do big studies so you can put a tight upper bound on the effect. Don't tell me that vaccines don't have a significant (or discernible) effect on autism. Tell me that, with 99.9% confidence, you have ruled out the possibility that vaccines have caused more than ten autism cases in the entire history of vaccines, and that, most likely, they've caused no cases whatsoever (or whatever the right numbers are).

Edit: fixed an insignificant typo.
The museum already has a high-resolution scan. They sell 3d reproductions.
WRT economics, an understanding of the major concepts is probably more than enough: elasticity of demand, substitutes, complements, barriers to entry, network effect, substitution effect, income effect, (diminishing) returns to scale, altruism vs. greed, monetary vs. fiscal policy, real vs. nominal, normative vs. positive, inflation, time value of money, aligning incentives, setting precedents, and basic game theory (how to draw and play a simple game w/ payoff tables).

I doubt the actual models get used outside of academia and central banks. The frameworks I have studied have been so situation-specific and strong-assumption-driven that it would take much more time and effort to cram reality into a model than to simply use high level concepts, some basic data, a few customer interviews, and intuition to inform strategy.
In the scientific world, it is economically infeasable (cost/time) for 1 million tests for a given hypothesis. Even n > 20 can be difficult for certain studies. Bootstrapping the results to simulate 1 million trials won't fix the aforementioned issue either.
Hi Casey!

Can you shoot me an email (in my profile) wit a little more detail about the CSV report? Email me a report and show me what is wrong with it -- I'll personally make sure it's fixed.
Editorialized title; the original is "It’s Time the Software People and Mechanical People Sat Down and Had a Talk"; and there are a few choice pull quotes in the article.

But it is something I see more often (and go through myself): Software devs approach hardware development in the same way and are baffled as to the orders-of-magnitude differences in physical development vs. software.
Indeed, I am 24 year old programmer, 2 years out of a top CS program and I am making $280k (100% cash) slinging C++ for a small quant hedge fund.
A lossless format would be great on cameras as the current RAW format has image data which is uncompressed and thus space consuming. Having a really good lossless compression there can save on space and writes.
In an LLC all income is passed through to the owner(s) personal tax returns. An S Corp will pay the officer(s) a reasonable salary and an excess capital is return to owners through a dividend which is taxed a lower rate than normal income. All gains by the LLC pass through as normal income.
Personally or 'professionally'?

I've ran various news sites in the past, and I'm working on one now, if that counts as blogging.

But I don't run a personal blog. Why? Because I don't see the point. Anything related to gaming or tech is already discussed on my existing sites and social media accounts. My personal life is kind of boring by comparison, so no one would want to read about it. And anything political goes on Medium or some other such platform instead.
You're one of today's lucky 10,000.
Nope! It's "the probability of chance* leading to something at least as extreme as your results". They're related, but they're not the same.

* Ok, a chosen null hypothesis, often chosen to be something like "chance".
Rebass: lots and lots of buzzwords. It looks decent though.
Redfin announces Opportunity Score, find housing with easy access to jobs
You have to be very specific about "probability that they occurred by chance." If p = 0.05, you can't say "there's a 95% chance this result is real and a 5% chance it's just a fluke." You can say "if chance is the only thing operating, we'd see a result like this only 5% of the time."

In conditional probability notation, it's the difference between P(result | it's just chance) and P(it's just chance | result).
may have been debunked

Baumeister has yet to be steamrolled by the reproducibility crusaders
So you want a job at GitHub…
For quite some time I was trying to get people to look at my actual resume instead of its shadow on linkedin and I couldn't get people to do it because they would google my name and the first link would be on linkedin so they would never bother to look beyond it. As soon as I closed my linkedin account all of a sudden people started looking at my actual resume and my code on github. I don't regret closing my account and forcing people to do some legwork to find my qualifications instead of doing the lazy thing and stalking on linkedin.
Usually work experience in related field makes up for not having a degree/diploma for these things. Not sure how many years is needed.
That's not quite the same: an interlaced GIF loads with gaps and still requires a fair amount of data to be loaded before it can start displaying.

JPEG 2000's approach provides successively finer detail so the entire image can be rendered after only a small percentage of the total data has been received and then it just becomes sharper as data continues to stream in. If the rollout hadn't been so unsuccessful, this would have been a great answer for responsive images since you could have a single image served (and cached on your CDN) and clients could make ranged requests for the first n bytes based on the displayed size.
The S Corp pays you a "reasonable income" which gets taxed as income (withholdings, FICA, etc) and the remainder of the corporations profits that's passed on to the owner is taxed as capital gains (%15, IIRC).

With an LLC, all profits fall through to your income and is taxed as such.

Edit: revenue -> profit
Rundeck vs. Crontab: Why Rundeck Won
I agree that that is a puzzling statement.

Perhaps the intent was to say something like "you can't reap marginal benefits from the replacement of a single signal since the whole system must be modernized to allow the advanced signalling afforded by new technology," or something.
What prevents you from assigning your own class names and styling based on those?
I agree. I'm not particularly worried about mistrusting an accountant with my business's money, but I absolutely think that understanding where my money goes is really important. I am not sure how many small businesses really die by a thousand cuts but a lot of them still bleed unnecessarily.

I simply know my cash flow much better because I do my own books. When my business is bigger and I outsource the bookkeeping, I will still have a more detailed understanding of where the money goes and why. This really creates opportunities to find out where to save money, and the money I save will be my own.

Additionally, understanding how expenses are classified is really important for drafting budgets for things like proposals, projects, tax strategies, buying/selling companies and assets, and of course being audited.

And in general, I think for many small businesses, it's pretty important that the owner/CEO/general manager has the ability to step in and do as many jobs as possible. It's part of managing well and being able to put out fires. Just about any business or institution I have ever worked for (from bike shops to restaurants to rafting companies to research labs to small energy companies) has had emergency situations where this is necessary.
C++ is definitely a language you need to spend some time with before you can visually parse it quickly. C++11 also allows you to trim down the verbosity with things like "auto".
#ABAF2016 Closes with Announcement of 2 Funds Totaling $60M for African Startups
I have to assume this is coming from people who are not good text communicators in general because the same problem exists with email: "when would you like to schedule this" without indication of your own schedule is one such pet peeve. It's really easy to stretch out asynchronous conversation by wasting the other person's time.

"I have a question" in speech DOES have a purpose, which is to prime listeners to enter conversation mode instead of stopping you to say "what" after you've said two words. Of course, I've seen people who are on the ball and impatient still get testy about that convention.

Edit: the most infuriating experience I've had in recent memory is a friend who will consistently spam his shitposts over IM without warning, but when it comes time to do business will say "hi" or "are you there" instead of asking the question.
That's actually exactly what they did. If you read the whole article they started with the HR department.
That's fine, but then your power is low, and nearly every result you get will be an exaggeration. The more stringent your p value threshold, the more dramatic your results must be to be significant; if your sample size isn't adequate, you'll only get significance if you overestimate the effect.

This is an enormously common problem even with current p value thresholds. It's part of the reason why you see dramatic "A causes B!" results followed by replications saying "well, only a little."

http://www.statisticsdonewrong.com/regression.html#truth-inf...
Is the p-value really not the probability of your results being due to chance?

No, it's the probability of a particular observation, given that we assume the result is due to chance. This sounds similar, but the difference is that it doesn't say anything about the probability of your result outside the context of the study's hypotheses.
c.f. DBS (deep brain stimulation) ?
The punishment should fit the crime. If penalties were tied to some sort of assessment of economic gains from the violations, it might start to make companies weigh their actions a bit more...
With 7 years experience of running a remote & distributed team (5+ countries) at Netsparker [1].

We have 4 platforms:

* Bug Tracking / Project Management

* Group Chat

* Skype / Voice

* Email

Since we grew organically, here is how I shaped the culture from 2 team members to 20 and quite happy with it at the moment:

Groupchat is for "2. Red Alerts" (via @everyone mentions), "3.Having Fun" and "4. Sense of belonging". Finally to share random stuff from funny moments to interesting articles. Stuff that's completely optional to consume. Very very rarely for "Hashing things out quickly" for that we use Skype. If you want to toss an idea back and forth, just talk. If you are not in the same timezone just wait for all to be in the same timezone (we don't have extreme timezone differences, max is about 10 hours)

Voice is for pretty much everything else. We don't type or discuss anything on chat if it's more than 3 message exchanges, when that happens someone just calls. It's just waste of time, we just get on a call and talk. We also have a routine of initiating skype calls to ensure it's normal to call people but it's also normal to ignore calls as well. So you have the option to quickly talk but also option to not be distracted.

We made it OK to be offline. Especially for devs it's OK to just be offline.

If something is really urgent, we'll call you or send you a text message. Which rarely happens.

If it's a task/bug put it into the bug tracking system. Then it'll be visible on the developer chat channel automatically.

So we found that voice chat is superior to pretty much anything else for many purposes. Another habit we are getting better at is taking notes in voice conversations and putting them on to the tasks.

These make text group chat a very minimal part of the flow. Another good example: I was away for 2 weeks and it took me about 10 minutes to catch up with all the group chat because we use it sparsely and discussions always use threads (this is something we teach during the orientation) so you can read the first line and just skip the whole thing.

Maybe it works because we have only 20 people, we're planning to continue to do this until it doesn't work anymore.

[1]: https://www.netsparker.com