992 karma · joined June 1, 2012
I think the problem above is probably somewhat worse for data science than software engineering in general, but it applies broadly to quantitative jobs in the tech industry, in my experience.
The last line is "We will report our findings back to the community as soon as practical." It should be followed by "and we will provide an update in no more than 30 days".
Without any explicit time frame, holding them publicly accountable becomes trickier. At any point they can just say "we're still investigating" until enough time has passed people aren't paying attention any more.
Note that the companies that do ongoing incident updates on status sites best all do this -- "We will provide an update by 10:30pm PST".
I work with a number of people who were hired, both remote and out of network, pre-COVID, onto a mostly co-located team. They have built trust and a strong network within the company, leading to promos and significantly increased comp, and through their excellent performance have built networks that will stay with them throughout their careers.
That's the core of what the article is about; it's hard to believe based on comparing testing and hospitalization numbers.
> "Social behaviors" are not what slows down Rt ... the number of targets gradually diminishes
Those aren't mutually exclusive, and it is possible to change social behaviors fast enough that it happens before you reach a threshold where you get significant slowing due to reduction in available "targets".
https://en.wikipedia.org/wiki/Missing_square_puzzle
It has much clearer explanations, both written and visual. Really it's a stretch to say the Wolfram page explains anything at all, it just states it can't be how it appears.
The other is to consciously decide to ratchet down your consumption of this type of entertainment and put more effort into finding things that are more "for you" -- they don't rely on the tropes you're used to. Look for foreign content, other types / genres of shows, and reduce your consumption so by the time you've watched as much as you used to in a year, several years have passed and the style has morphed a bit.
Wilderness areas, second homes, minor tourist destinations of all kinds. It has the potential to totally change the economies and usage patterns of those areas.
I live somewhere that's just far enough from the major east coast population centers to keep weekend traffic down. But when sleeping in a self driving car is a reality? We're talking 100 million people who can spend a weekend here easily. It's going to change everything.
The original report of the FBI's confirmation appears to be this SF Chronicle article: https://www.sfchronicle.com/crime/article/Zodiac-340-cypher-...
A lot of these "large ideas" are really large. Like the amount of work they take is the amount of work it took to get through college, or master your profession, etc. More time than most people can afford to spend.
So the first thing to do is learn how to use the work other people have put in to answering the question. Learn how to judge the reliability of sources. Get to know the structure of the existing discussion of the issue. Look for ways to take advantage of existing knowledge in related areas to shortcut those tasks.
If you get good at those things, you'll at least get better at understanding the real complexity of the questions you're asking. You'll still do your own thinking, but realize that you're not in a position to just jump into that. You need to learn the context first. As other comments noted, you likely don't really even understand the question yet.
A small mystery remains: if the statistics
from /proc/*/statm which are used by htop
sync every 64 page faults, how can 1.5 MB of error accumulate? Syncing every 64 faults suggests that the maximum error would be 4 KB times 63 faults = 252 KB of error.(sorry for weird formatting, wanted to include my comment around what statistics he's referring to, but asterisks can't be used unless preformatted AFAICT.)
While I'm sure my production facility (a.k.a kitchen) isn't as clean as most commercial facilities, I don't have to transport it, worry about lack of temperature control, or about the lag between when it's ready and when it gets consumed, so there is much less chance I grow a bunch of listeria. I also don't feed it to old people, children, or the immunocompromised.
While I'd read about the differences previously, they're understated by most sources -- I can only assume many people are passing on accounts they've heard rather than speaking from experience. The texture of the finished cheese and how the milk acts while being processed into cheese is incredibly different from even fresh low-temperature pasteurized milk with added calcium.
Even a simple cheese like mozzarella is very noticeably different -- and in my opinion, better -- when made from raw milk. So while I'm willing to believe commercially produced cheeses are closer to their raw-milk counterparts than my homemade cheeses are, I still feel we've lost a lot when it comes to the experience of eating cheese just by using pasteurized milk.
Upper class Americans and Europeans generate more emissions per capita than lower / middle class people. They consume more, so they emit more.
I don't know your specific situation, but in general the carbon offsets you buy aren't actually priced to the real cost of reduction, and your estimate of your carbon footprint is likely low. So the real price would likely be significantly higher. If you're living in a large (and so heat / cooling efficient) building in the bay area where those costs are minimized anyway, and don't have a car, then you're an outlier, and you can't extrapolate accurately from your situation.
I live in the mountains and I'm outside in a forest setting multiple times a week. I see exactly what you're talking about; it's just not the same as what the article is saying, even if you use the same word to describe it.
> As divorce and infidelity are becoming more common than ever they are also more painful, shattering one’s life story along with the relationship.
I don't think this is true at all. First of all, in many places, divorce rates are declining (as are marriage rates). Second, while I understand the point about how marriage expectations are different now, at least for roughly half the population (women), divorce is much less painful than in the past -- women are less expected / forced / taught to define themselves as extensions of their husbands and families, have more options, etc., meaning they're less likely to be in the "I don't know who I am without this" trap.
> Not to be outdone by romance, companies also jumped on the identity-producing game. Jobs used to be described in terms of action ... Now they describe a persona ... You no longer merely work at BigCorpInc; you’re a Googler, Postie, Amazonian.
On what timescale is this true? Historically, your whole life was defined by your job. That's where many last names come from -- something way more permanent that being a "Googler". More recently, we had the era of lifetime employment, strong unions, etc. that meant you had a job for life. People were loyal to their companies in a real way. In some ways we still largely have this in the public sector. Instead, I think the "identity-producing game" modern corporations are involved in is about reproducing the parts of that system that were beneficial to the corporation without those that were costly for it -- bad, but different from what the author is saying.
Please let me know if I'm misunderstanding or missing context here.
Edit: I read the previous few posts in this series, and while there are some odd references and lots of things I can't tell if they're true or not, I don't immediately notice anything false. I have only a light background in what the author is talking about (a few college courses a long time ago).
Your comment is misleading because it implies we should all have been assuming this based on the evidence you state -- and we certainly should not have.