dbatten

Fun fact... although the Soviets (obviously) never executed, they actually independently developed the exact same solution for going to the moon as the US used - lunar orbit rendezvous.

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

I fundamentally disagree that the resulting distribution isn't more or less equal. It's basically randomly distributed around 45, with a pretty small standard deviation to boot...

Let's be honest... research shows that even if you are a trained professional making a career of picking stocks, you STILL probably won't out-perform the market.

If this is even real... I admire the generosity, but giving money away on Reddit is a terrible idea. It's really hard to give money away effectively, which is why folks like Bill Gates have now made it their full-time job.

Really? I wonder if this is some sort of optical illusion like the dress? I can't imagine Apple releasing a skewed product photo, but I can't see anything but a trapezoid when I look at that iPad on the left...

Is it just me, or does the one on the left look weirdly skewed, like the right side is bigger than the left side?

Uncharacteristic design mistake for Apple...

To expand... it's false, because wealth is not a zero sum game. There is WAY more wealth around on earth in 2017 than there was in 1917, 1017, or 117. Most of the wealthiest folks get rich by inventing/creating new wealth, not by stealing from others.

If capitalism was just a competition, we'd still be fighting over castles and wheat and Trojan women. Cars, computers, and indoor plumbing wouldn't exist.

Isn't there another component to the probability story here?

We're not just interested in the probability that Leiterman was at the crime scene vs. that the sample was cross-contaminated. We're interested in the probability that Leiterman was at the crime scene AND by sheer happenstance, his DNA happened to be processed by the same crime lab at the same time as the sample from the case vs. the probability that the sample was cross-contaminated.

I don't know the background on how Leiterman's DNA happened to come to the lab in the first place (edit: apparently, a completely separate prescription drug offense), but it strikes me as highly unlikely that a person would be at a crime scene and then by sheer happenstance have their DNA processed by the same crime lab at the same time as the victim's years later.

Data Scientist for Republic Wireless here. We operate a hybrid mobile phone service that leverages both VoIP and traditional circuit switched networks to let our customers make calls.

When asked to rate the quality of a call, our users consistently rate pure VoIP calls higher than their pure circuit switched counterparts. A significant portion of that is due to our "bonded calling" technology - if a VoIP call over Wifi starts to degrade, we can supplement the audio stream with additional packets sent over LTE until Wifi issues calm down.

When we first rolled that tech out, we saw a marked improvement in call quality measures, and a noticeable drop in customer support complaints about call quality.

In the end, I can't say this issue will ever be solved to OP's satisfaction, but we're making some incredible strides.

> It's amazing how often someone finds an NP-Complete problem and doesn't even attempt to try and solve it.

Just out of curiosity, how are you coming across these? I've dabbled in integer programming with both Gurobi and SAS (once for hobby purposes, and twice to solve some pretty major problems for work). For some reason, I've found it to be some of the most enjoyable work I've done to date - perhaps because of the satisfaction of being able to say "this is (one of) the best possible solution(s) to this problem."

I'm constantly looking for new problems to play around with (particularly those with business applications), but I don't find too many. In fact, just yesterday, I was commuting home running through business models and trying to imagine likely unsolved problems where you'd be minimizing/maximizing something subject to constraints...

I actually used a tool from CMU (link below) to convert the names to their pronunciations, represented as a series of phonemes or sounds. I then simply compare the similarities in the sound representation of the different names. It's an extremely simple algorithm, but it works pretty well.

http://www.speech.cs.cmu.edu/tools/lextool.html

Built this tool after my wife and I found ourselves wishing for something like it while pregnant with our first baby. Type in a name, and you'll find others that sound similar.

Really interested in hearing thoughts/feedback from the community... Also interested in how the site holds up under load.

Thanks!