More a reflection of people's attention spans these days compared to when the movie is released. Read any online discussion about media and it seems like people are on their phones for 40% of the show at minimum.
Hell the original film would probably not do well if released today because it doesn't have the obvious shoehorned plot points that the new movies have to cut through the morons.
After years of trying every budgeting app possible (including YNAB) the only app I've found that does everything well is Bluecoins. Split transactions, multiple accounts, handling of credit/debit, recurring transactions, bill reminders, automated reading of bank app notification (to parse transactions), easy reconciliation of accounts, cloud syncing, etc. Definitely well worth the single purchase price (fuck subscription pricing models).
I have a lot of doubt over the graph just based on how they average the results. You're bound to get people guessing super high or super low, which would skew if they were just getting the mean.
I use Dropbox too. Though I have to admit, when running code you sometimes have to pause sync otherwise it interferes with code execution. But definitely worth the peace of mind. Sometimes you don't want to commit stuff until you're sure that it works.
Except y'all have nuclear weapons and the rest of us mostly don't. When you're done with your local genocides the US will inevitably turn outwards for a scapegoat.
Maybe a lukewarm take now, but you can no longer expect to succeed well in biology if you don't have at least an intermediate understanding of programming and statistics.
Without the former, you are going to be wasting a lot of time doing manual work (I kid you not but I see my co-workers waste literal hours gazing at matrices in Excel like they're gonna land on a significant gene by accident).
Without the latter, you are going to be wasting thousands of dollars in reagents and working time running experiments that never had the hope of succeeding (what do you mean I need more than one replicate?).
Yes you can stick to lab work but don't expect to get paid more than the average janitor, because you're competing against literal thousands of graduates who can use a pipette but not R. Maybe if you were a specialist in an expensive niche equipment like flow cytometry or mass spectrometry, but surprise surprise, these kind of equipment require an even more advance understanding of statistics to understand/process the results.
If you're a biologist who thinks you hate math, I promise you programming is more approachable than high school math, there's so many tutorials available these days for free that are leagues better than any material from your professor.
Try to get as many opportunities that involve command line work on clusters, analyses with R, and maybe python as well, and you'd be a candidate that would stick above the rest. Programming and statistics is rapidly becoming a common competency, and if you don't have those skills you won't be able to compete with people who do.
Ggplot syntax (and tidyverse syntax in general) is incredibly clear when you compare it to the alternatives. Just try to use plotly to do anything simple and it'll take 6x the time.
But... bash snippet extensions already exist. The only difference is maybe it doesn't auto name your variables for you. I'd take that over non-deterministic LLM outputs.
One thing that doesn't seem to be mentioned is that practically everyone is cheating on online assessments when they can. I've personally seen probably 60% of my masters cohort cheat this way discussing exam questions on WhatsApp.
Grifting is so common and accepted in mainstream media people genuinely don't see the harm in cheating during assessments. To them that's part of the university experience, to win at any costs. And that's why we have nitwits who cannot tie their shoes or write a for loop without having to ask chatGPT.
Anyway where I'm from many exams have returned back to in-person, which is a shame because online exams were so much more relaxing which probably gave a better assessment of people's understanding vs their ability to cope with stress.
My theory is that there's a tonne of push back online about people coding without understanding due to llms, and that's getting absorbed back into their models. So these lines of response are starting to percolate back out the llms which is interesting.
Tea has theanine which sort of counteracts the effect of caffeine, which is why tea generally has a milder effect. In theory if you switch to decaf coffee long enough you shouldn't get withdrawals (which is dependent on the concentration/frequency of caffeine use).
More a reflection of people's attention spans these days compared to when the movie is released. Read any online discussion about media and it seems like people are on their phones for 40% of the show at minimum.
Hell the original film would probably not do well if released today because it doesn't have the obvious shoehorned plot points that the new movies have to cut through the morons.