gmisra
Once upon a time, Google dedicated a massive amount of resources to launch a social network to compete with Facebook, Google Plus. When G+ launched, one of the "features" was linking your GMail account with your G+ account. G+ didn't really take off (obviously), but all Google employees were "strongly encouraged" to join, and the account you're looking at ([email protected]) belongs to former Google engineer, who does have a public G+ profile. If you go to plus.google.com and search for that e-mail address, it will bring up their profile page. If you know any GMail addresses that don't have public G+ profiles, you can verify their information isn't leaked.
Aside: G+ was the reason why Google Reader was killed #NeverForget
In the book, two things stood out to me. First, there are a quite a few UFO sightings that are corroborated by non-human sensor data (mostly radar and video). Second, the narrative paints a picture where US government officials are much more secretive than any other nation, by far. Within that context, the releases of the last few weeks are even more surprising.
Highly recommended for anyone interested in a modern, not-too-X-files-like take on UFO phenomena.
1. Does your market analysis differentiate between intra-city and inter-city move? It feels like the service is much more valuable for people moving inter-city.
2. Is there a better source for the "planned future mobility" data? I would expect rent.com to have a strong editorial bias around the perception that the rental market is healthy and renters are competing with each other. I would not expect the same kind of bias in census data.
3. I would love to see the census data's mobility over time cohorted by age group. Is that something you guys have done, and can share?
> In the mid-1960s, about 20 percent of the population moved in any given year, according to the United States Census Bureau. By 1990, it was approaching 15 percent. Today it’s closer to 10 percent. The percentage that moves between states has fallen by nearly half since the early 1990s.
https://www.nytimes.com/2016/05/21/opinion/how-to-get-americ...
Also, https://www.citylab.com/equity/2017/02/american-mobility-has...
http://news.wisc.edu/celestial-boondocks-study-supports-the-...
https://www.universetoday.com/135954/largest-scales-milky-wa...
Without meaningful consequences at the top of the executive chain for sub-par IT/infrastructure quality, these kinds of incidents seem inevitable. But how do you hold people responsibly for "bad" software? We could adopt something akin to how PE licenses are required for civil engineering in the US. I suspect it is in the industry's best interest to address this need before a government entity decides to.
[0] http://uk.reuters.com/article/uk-iag-results-idUKKBN1630MA
"Part of the trick was that the service could automatically weed out junk mail, and when U.S. Postmaster General Pat Donahoe got wind of this, he wasn’t happy — at least according to Baehr."
"Donahoe summoned Outbox to his office, and Baehr made his pitch, arguing that the company was just a few smart guys with $2 million in financing who wanted to spend the next few years learning about Donahoe’s customers and even sending him data about what these customers needed. Donahoe responded by saying that the customers of U.S. Postal Service were not the general public. Its customers, he said, were a few hundred bulk mailers."
- Staff at the cafe are extremely frustrated, no real visibility into what's going on.
- Finding the status page was a struggle. Following @square and @sqsupport was insufficient, as both accounts have been publicly silent during the entire outage. The status page, hosted at the non-obvious issquareup.com, is only listed on the profile pages of those social accounts. I located the page and shared it with the cafe staff, which provided some context as to what was going on.
- But, the status page itself was not very useful to them. The information in it is moderately useful for a technical user, but most of Square's POS customers aren't technical? More importantly, most of the hands-on operators of these POS systems are even less technical.
- The only solution offered is to "switch to offline mode", but that only works if your square app hasn't already logged you out, which had happened long before reading about the solution. This behavior corroborated by twitter anecdotes and other comments in this thread.
- There is no other solution path presented.
- Without any other information to share, staff is describing the issue as a "nationwide Square server crash" to all customers.
- Some customers just left when faced with the outage (alternatives are cash or an on-site, fee-based ATM)
- All of this is happening while the staff is continuing to take orders, serve customers, deal with irate customers, and generally be positive and courteous.
- The only reason they retried the app just now is because I read the comment from the Square engineer on this thread announcing service restoration.
Whatever user model Square has of the day-to-day operators of their POS, it seems to be wildly miscalibrated, especially around how to handle incident communication.
Like many, I've casually followed the story over the years, but in the 5280 article, the reporter interviews Fenn in the context of the manhunt. To me, Fenn comes off as someone whose obsession with his own eccentric idea of a "game" overrides the very real life-and-death situations created as a result of that game.
The NPR article is surprisingly blase considering the dangers involved.
[1] http://www.5280.com/news/magazine/2016/07/how-one-colorado-m...
There is a huge difference between:
Google is enhancing e-mail in a way that makes e-mail better for everybody.
and
Google is migrating GMail to be another walled garden collaborative workflow tool that happens to have a very good e-mail client build in.
Election Memes
links are stored in a file
- compact storage
- no database required
- easy backup: simply copy the datastore fileIn general, it's a very useful (and pleasant to use!) tool - except for when trying to manage different versions of the same dependency on the same system. Since this is such a big deviation from most package managers, and feels intentional, I'd like to understand why, and whether there is a "homebrew way" of approaching multi-version management.
Thanks again for all of your hard work!
Some discussions:
https://www.reddit.com/r/news/comments/4y5481/cost_of_epipen...
https://www.reddit.com/r/3Dprinting/comments/4y7f26/epipen_f...
e.g. reddit started as a platform for communities, but the success of /r/all made it more a community of communities, at which point some of the more extreme communities became a liability and had to be censored. In contrast, imgur appears to have managed the separation between the two quite well.
It is still unclear what twitter wants to be.
Ah, borrowing from the Musk marketing playbook, just say "self-driving" often enough, and enough uninformed people who have never seen contemporary luxury assisted-driving features will be impressed. Calling out Autopilot as "souped-up cruise control" is a nice touch.
> For now, Uber’s test cars travel with safety drivers, as common sense and the law dictate. These professionally trained engineers sit with their fingertips on the wheel, ready to take control if the car encounters an unexpected obstacle. A co-pilot, in the front passenger seat, takes notes on a laptop.
That doesn't seem very scalable. How many cars are in this so-called "fleet"?
Is there anybody working on autonomous vehicle tech that believes there's any substance here, or is it just adverjournalism?
[1] https://www.bloomberg.com/news/articles/2016-07-26/end-of-an...
Whenever I sit down to build a new model, or work with a new-to-me model, I start with questions like:
- What questions was this model built to answer? Be careful when asking other questions, and know the limitations of those answers.
- If it's been in use for a while, how effective has it been? How is that efficacy measured? A highly accurate decomposition of historical behavior may involve a lot of post-fact knowledge that has no predictive power, so be careful interpreting cross-use results.
- What are the ranges and distributions of the input variables? What are their boundary conditions? This is not always applicable to all variables, especially unstructured data, but when it is applicable, it is usually straightforward.
- What are the ranges of the model outputs? Do they have any boundary conditions? Do boundary effects impact the situations in which the model can be applied? For example, when working with a binned variable, often bins 0 and n include less homogenous data than the rest of the bins.
- How is model accuracy calculated? This is usually far less objective than model constructors are willing to admit to. How does your error vary along different dimensions? Which dimensional error do you look at more closely, and why?
In my experience, the best way to reason about models is to work with a lot of different models, and to be honest about their flaws. That learning generally happens more efficiently, and more broadly, in the real world than in the classroom. With the recent rise in popularity of applied models, we have lots of inexperience modelers out there, so these growing pains are to be expected.
For employees in the tech sector, this misalignment of incentives is one of the ugliest lessons to learn.