Trevor A. Branch

@trevorabranch.bsky.social

Professor at Univ of Washington @uwsafs.bsky.social I run models and synthesize data, love R graphics, and do research on the status of marine fisheries, fishing quotas, and blue whales @bluewhalenews.bsky.social

The ability to cling to things with tentacles is a unique feature found in a group of jellies called Olindiidae. They tend to hang out on rocks/aglae/anything comfy, and fish for food using their tentacles like fishing lines, reeling in their catches to munch on while vibing bsky.app/profile/rebe...

Rebecca R Helm@rebeccarhelm.bsky.social · 6d ago

Not only is this jellyfish holding onto a kelp like a little spider, it has bright green headlights. These lights are formed by biofluorescent proteins, which absorb light (probably UV) & shine it out as a continuous bright green. 🪼 Vallentinia adherens 📸 in ALT text, @inaturalist.bsky.social

Spidery Vallentinia adherens holding onto a kelp. Photographed by geo_san on iNaturalist: https://www.inaturalist.org/observations/386345820

In which I vent about the foolishness we display when we say "Our budgets have been cut? We'll just have to do more with less". That's a losing strategy, every time. Why do we teach toddlers, but not governments, that choices have consequences?

The foolishness of “doing more with less”

I got a little bit riled up the other day, and I realized that it might be worth sharing because the thing that riled me is a longstanding pattern in academia (at least in Canada, anyway). It’s a w…

scientistseessquirrel.wordpress.com

I just saw a meme that said “get in losers, we’re reclaiming the emdash”. People. PEOPLE. Where are your STANDARDS? It CLEARLY should be “get in, losers — we’re reclaiming the em dash.”

How to break Excel. 1) Copy a large amount of data 2) Paste this in a sheet 3) Open up comment box on sheet to add to your methods explanation 4) Press <enter> to go to next line 5) Excel tries to copy all the data into the comment box and crashes.

As someone who pretty much only uses tidyverse approaches in my work, I still cover the basics of base r (particularly bracketing for subsets or calling columns) and try to spend the first lab showing both approaches for simple wrangling tasks, such that they can decode things from help pages.

#rstats is a tool. Teach them how to use its most useable current version. I think that will require some base thinking (like for loops) but only if actually useful for their daily work, not due to its earlier development.

My (perhaps poorly conceived) opinion is that it’s easier to stick to one way of solving data wrangling problems given R’s steep learning curve and teaching multiple options might (will?) cause confusion. Maybe cover base R briefly and highlight tidyverse/ggplot as the intuitive modern option?