651 karma · joined July 2, 2019
It's worth noting that Lamda school actually does use an industry-standard "IQ test" [0], although it seems the cutoff is quite low (23 out of 50 whereas the median score according to Criteria Corp is 24).
[0] https://lambdaschool.com/the-commons/how-to-ace-the-criteria...
I feel like the linked Twitter criticisms just gloss over the fact. This is definitely a strange idea but it's a shame people dismissed it out of hand based on crude characterizations.
I think referrals, at least at large companies, have messed up incentives. If you and your direct team don't have to suffer the consequences of a bad hire, then of course you should refer random Blind/Reddit/LinkedIn strangers for a chance at getting several thousand dollars. The "large company" issue may be harder to fix, but if you have the potential to lose money, then you will be more discriminating.
It's interesting reading this, as I have always been too -- shy? underconfident? I don't know -- to ever mention my job search to my manager, until I got an offer and accepted it. I worry about it being obvious that the time off I request is for interviewing and perhaps them placing obstacles in my way. I wonder if it's ever a good idea to mention a job search when one doesn't have any offers in hand yet.
Although a common talking point, it is not inherently a bad thing that low-wage workers can qualify for welfare [1] and it's probably less distortionary to the free market than mandating a higher wage. As an analogy, pretend that the government has decided it would be a good idea that everyone be able to eat apples. It is absolutely better to target an appropriate amount of money at the poorer population so that everyone can afford them, than to dictate that the apple seller must lower their apple prices. The latter would result in less people overall having apples (due to the seller restricting their supply or just shutting down).
[1] https://www.brookings.edu/opinions/does-the-government-subsi...
I think this is precisely the issue that guarantees we will forever have these discussions, whether or not a company bans political conversations. The software industry is simply much more left than the general population [1]. But rank and file employees ignore this, and assumes everyone else should hold the standard opinions on Diversity, Equity, and Inclusion. So they pressure their company leaders, but the company leaders are obviously running a business, rinse and repeat.
[1] https://www.businessinsider.com/charts-show-the-political-bi...
I imagine a version of these wide enough for a person’s waist and with a locking mechanism could be used for knife/fistfights and be much more humane than shooting. Perhaps they could be stored in squad cars the way shotguns are.
This is really important. Don't think about employers "taking a chance" on you or having their hearts warmed by your story. (I mean, it might actually work when the OP is hitting the top of HN but in general...) They want non-risky choices.
I learned javascript + basic web development stuff like everyone else, because that's where the most beginner resources are. But the job offers I actually got were due to my learning Java (with some Java enterprise edition mixed in) and having some book knowledge about it. There are vast swaths of industries that will help you enter the middle class, and then some, by working on their old Java or C# applications. A ton of career advice out there is targeted towards the 1% who are shooting for Silicon Valley. We don't need that.
Also try to get proficient at Leetcode and come off as intelligent. A lot of your competition is computer science majors.
Lastly, and this might involve some conscious or unconscious deception: Make it sound like you intend to move to wherever the job location is, post-COVID. This works better if you are already in that state. Once you land the first job, maybe they'll offer the remote option eventually; otherwise keep applying to a couple jobs per day; this job search will be slightly easier and you will actually have the leverage to ask for a remote option when it comes up.
- Smart drivers who have been working a maximum of 12 hours in a single shift and a maximum of 6 shifts per week.
- Smart, washed and valeted cars
- Road legal vehicles with full service history.
- Vehicle tracking services so you can see where your driver is from when they accept your job to when they arrive.
- Text information detailing the make, colour and registration of the vehicle that will be picking you up.
- Meet and greet service at the airport where we monitor your incoming flight and only send the driver at the appropriate time.
- Bottled water on arrival at our airport jobs.
- Automated booking via our Oliviar booking system with the industry’s leading booking and despatch software
- Full E-receipt provided on completion of job, if required.
If I understand things correctly, then the only difference between this and Uber/Lyft is primarily item 1 (although I'm not sure why it matters that the driver is "smart"). Items 2 and the bottled water could probably be gotten through Uber Black which also costs more.
So it seems one pays a premium to help certain drivers earn a living wage, and support an ethical company; more cynically, to not feel like one is participating in Uber-style exploitation. I imagine that some in the effective altruism community[1] would consider this and other sorts of ethical consumption to be "ineffective", and would recommend people just donate the price difference to needier people, or to an organization better equipped to create structural change. But I'm not an effective altruist so I may be misrepresenting that perspective.
[1] https://www.csmonitor.com/World/Making-a-difference/Change-A...
Wikipedia says "Urschel was born in Winnipeg, Manitoba, Canada. His parents, John Urschel and Venita Parker, were a surgeon and attorney, respectively. He grew up in Buffalo, New York, where he attended Canisius High School." With no other information, that "growing-up" environment (notably including a private school) sounds great for an academically precocious kid.
I'm very interested in this claim. Every interviewing-is-broken thread, someone mentions that pairing, or take-home exercises, or work samples, or their favorite method, are better predictors than algorithm problems. On the one hand I doubt any but the biggest companies could conduct studies on this; on the other hand individuals at smaller companies might honestly remember only those times their hires filtered through this method were successful, due to confirmation bias. So it seems like an inherently difficult thing to study.
Whereas, algorithm questions lend themselves easily to a "rubric" and seeing, 1 or 2 years later, if higher "grades" corresponded to better job performance.
I honestly wish we would just do that. We would actually have something quantitative instead of vague generalizations about "personality". The methodology could be scrutinized, and centralized (instead of every college coming up with its own special formula), and we could stop talking about this every X months.