Fun fact, the term “endorphin” comes from “endogenous morphine”, meaning they basically activate the same signals as opioids.

In my other comment I mentioned that each one had a different topic focus: stats, epidemiology, soft skills, and even one brief coding interview. There was also a presentation I had to give that was to the whole group, so there was still a large- group portion. Most of the sessions had 2 people as well.

I think this way is less intimidating for the interviewee, saves time for the interviewers, and builds in some natural breaks. Having been on both sides, I prefer this to one 2hr+ session with all 8-10 people. This is especially true when the candidate gets a chance to ask questions, as they can see the different answers, and they might feel more comfortable asking something to a future collaborator but not a future boss.

It isn’t that bad, there was some overlap but each one had a specific topic as well. One interviewer focused on my stats knowledge, one on my epidemiology, one on the more soft skills / personality fit, etc.

Having been hired and now sat on the other side of multiple similar interviews, it’s in large part to make sure the candidate gets good face time with most of the team members they will be working with.

Now, the one that did piss me off was the employer I interviewed at right before landing my current job. I went through the first 30 minute manager screen, then the second round “full circuit” including a 1 hr presentation by me (4-5 hours total over 1-2 days), AND THEY GHOSTED ME. I even sent an email to two different interviewers in the following weeks, the first one asking for any update, and the second one just asking for feedback on how I might improve (since I clearly did not impress them). No response. Fuck you, NanoString.

Are these 8 interviews all separate days? I’ve had “full circuit” interviews where I have like 5 separate ~30 minute conversations all in one day. I personally count that all as 1, but I saw one person here specified that the “5 interviews” they showed were more like that.

I would call it a beeswarm plot. It’s essentially a type of dot plot, and can be thought of as a non-summarized version of a boxplot, histogram, or violin plot (non summarized meaning you plot each individual observation rather than a summary metric like median, total, density, etc.).

In case anyone is taking this seriously, this is a 1-dimensional visualization, so there isn’t a y-axis unit. The dataset is “bank failures”, and each data point has 1 quantity associated with it: the year. You put a dot for each data point, and then you dodge/jitter them up and down so you can see how many there are without them overlapping. It’s kind of like a discretized violin plot, I generally hear this called a “beeswarm” plot. There’s nothing to label on the y-axis.

Seriously! I don’t understand why people think it’s fine to breed flat-faced / screw tail dogs. That facial structure is called “brachycephaly” and causes difficulty breathing and poor temperature regulation, amongst a myriad of other health problems.

Many veterinarians consider breeding brachycephalic dogs to be unethical (source ).

Not-so-fun fact: the genetic variant associated with this brachycephalic structure has a human counterpart (source ) that causes a very rare disorder called Robinow Syndrome. For the nerds like me, it’s mutations in some Wnt pathway genes like DVL1 (“disheveled 1”) and DVL3 in humans, DVL2 in dogs.

You could flip the causation around, though. If every American had ready access to see a general practitioner 1-2 times a year for a checkup at zero out of pocket cost, do you think any of those latent health issues (including obesity) would change? I’d hypothesize yes, but I could be wrong.

“Popular Inc.” sounds like a bank the South Park kids would open after learning that bankers can gamble with other people’s money.

Very nice analysis!

I would be very interested to see how the number of jobs in each area looks in relation to these data (or even a silly proxy like total population). Many people say “Well don’t live in the middle of Seattle, LA, SF, or NYC then!”, but I feel like this suggestion is a bit myopic. If even 20% of those major urban workers decided to up and move to suburban/rural Illinois, my hunch is they would either quickly overwhelm the entire job market in those areas, or all the remote tech workers would quickly drive up housing prices because their Silicon Valley salary lets them offer double current rent prices and still save money.

My guess is those got rolled into “Other reasons”, “personal reasons”, or even “long commute”.

I think these data would greatly benefit from some visualized summary statistics. Show me on the plot where the mean, median, and standard deviations are.

I was right there with you thinking there’s no reason COVID would cause a random spike right there, but I looked it up and apparently there was a huge spike in cases right around then: https://www.healthdata.org/sites/default/files/covid_briefs/101_briefing_Canada.pdf

We have the 5th highest median income in the world, behind Luxembourg, UAE, Norway, and Switzerland. Median is insensitive to outliers, and 3 of the 4 countries that beat us have some notable asterisks.

We have objectively high wages. America has a shit ton of shitty problems, but across the board we have money.