From Underland, by Robert Macfarlane
Jules of Nature
ojovivo

tannertan36
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Cosimo Galluzzi
PUT YOUR BEARD IN MY MOUTH
hello vonnie
Today's Document
we're not kids anymore.

izzy's playlists!

Andulka

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shark vs the universe
Stranger Things
The Stonewall Inn
NASA
macklin celebrini has autism
Monterey Bay Aquarium

if i look back, i am lost
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@urbilaterian
From Underland, by Robert Macfarlane
assemblyglassworks
i do care if monday's blue
The black areas represent the remaining natural dark skies in the United States
I’ve been in the middle of the ocean at night and now live in texas and it is so hard to explain to people that no, they have not ever seen the night sky. It is so hard to explain to people that what they think is a proper night sky is fucking pathetic. A disgrace.
People talk about how you can’t see stars in the city and yeah, that’s true, but their concept of “seeing stars” is being able to make out orion’s belt.
So, so few people have see the sky in all its glory and it’s not sad. It’s a fucking crime. Seeing a perfectly dark night, no clouds, not a hint of light pollution? That’s a fucking religious experience.
The sky the vast vast majority of us grew up with is not the sky that inspired us to look up. It is not the sky that inspired constellations. You can’t even see most constellations.
Your ancestors looked at the night sky and said “surely, that is where the gods must live.” And you might be lucky if you can see hardly more than a handful of stars.
The sky is full, fucking FULL, of stars, and you’ve never seen them.
I remember the first time I saw a properly dark sky and was like ‘oh that’s why it’s called the milky way’ and promptly started to cry
When we were on a field trip to the middle of the red sea, I remember us all crowding at the end of the boat that didn’t have lights and just lying on our backs and staring
When you see a properly dark starscape
You understand why people wrote poems and made up legends and built rockets and said heaven’s in the sky
The universe is infinite. So are the stars
I’m trying to find a picture on google images to show you what I mean and I can’t find any
You think of the night sky like fairy lights on black velvet, but it’s not it’s not it’s like, like, dust in sunlight, like - I can’t find the words.
The stars are everywhere, like sugar, like glitter, like dust. You can’t find the constellations at first, not because you can’t recognise them, but because there’s so many stars you can’t pick out the familiar line of Orion’s belt. The North star has gone from bright familiarity to almost vanishing among a thousand, a hundred thousand, a million other lights. The milky way is a line of light arcing across the sky like a moon-trail on water only infinitely, infinitely bigger.
And for the first time in your life you’ll understand why people call it a dome, because it is, it’s three dimensional in exactly the way a city skyscape isn’t.
You’ll understand why Luthien Tinúviel danced under starlight, not moonlight, why people in a time before we knew the earth was round still looked up and wondered and built telescopes and dreamed about the stars.
The stars are endless and ancient and infinite and you will stand with your head craned back and your rucksack forgotten at your feet and you’ll feel like you’re falling upwards into that great bright sky like it’s calling you home and you’ll wonder how you ever thought the stars were beautiful before tonight when all you’d ever seen were the naked empty skyscapes of your home. And you’ll cry and you’ll spend the rest of your time there gazing up and wondering and imagining what it would be like to stand among those bright silver flecks
And then you’ll come home, and look up, and fall in a different kind of love with that handful of blazing stars to stubborn to be outdone by the whole of human invention, leading you home despite the light pollution and the clouds and the endless bustle of this shrinking planet.
this is not a shot from a space telescope overlayed behind a woods, or anything. that’s not the sky as kepler or hubble or james webb see it. that’s the sky from a dark sky park in michigan. that’s the view you are missing out on from right here on earth. that’s the view that has been stolen from you.
I fell in love with the sky as a child growing up in western Minnesota, miles from a small town, near a massive lake and just downhill from an 18-hole golf course - the pure darkness broken only by a single bright light I could escape by hauling my telescope up that hill or into a nearby field
I’d often set an alarm to wake me in the middle of the night, so it was as dark as possible and my eyes as dark-adapted as they coud get, and starlight alone was enough to guide me
that’s what’s been taken from us all
OH OKAY so actually im fully ugly crying snotty-sobbing about this. what
this post was inflicted upon me so now i’m inflicting it on all of you
(full map of ~75k is too much for me to load, but i got to 40k! very laggy, but worth it.)
We can have this back btw. This is solvable, and it’s not THAT hard. It’s not pollution like greenhouse gases in the atmosphere where we have to stop making it worse AND clean up the mess we already made. With light pollution, all we have to do is stop doing it. Use shielded outdoor lights. Don’t run lights when they don’t need to be run. Install motion sensors and dimmers. And it’s not expensive- it literally SAVES money. Push for these policies at the local level. Get the stars back.
Establishing quality requirements for outdoor lighting is an effective way to protect local character, enhance visual safety, and mitigate t
some good guidance by DarkSky on how to do this!
there seems to be a fundamental disagreement between microwave oven manufacturers and the producers of microwave meals over whether the customer should know the wattage of their microwave or if such details should be abstracted away from them
the microwave rice demands 800 watts of power for 2 minutes, but all the microwave can offer me three settings: one low, one high, and one somewhere in the middle. I turn it to the one in the middle as I happen to know 800W is the average power of most microwaves. the light comes on and the bag of rice starts slowly turning, but rather than hearing the usual rumble of the microwave, I instead start hearing short snippets of conversation - words snatched from the ether. the lights flicker and a chill runs up my spine. the voices remind me of those "spirit boxes" ghost hunters use. I double check the setting on the microwave. "ah," I say, remembering that I had set it to medium,
Oh, hey, new statistics-driven research rabbithole that is going to radicalize me. Neat!
Oh. Hey. New information access conundrum that is going to radicalize me. Fuck.
Here's the thing, there is a lot of REALLY REALLY excellent, interesting information out there that demonstrates trends and patterns that could be used to help people be less manipulable and more effective and could help people to better understand the world they are actually living in and not the world that is being terrifylingly presented to them by like, three corporations that make earthshaking amounts of money off of their fear.
And that information lives on insecure county websites and university databases that haven't been updated since 2009 and is completely opaque and tremendously difficult to verify if you don't have a ton of time and a ton of skills available to throw at the problem.
Long story short:
In 2024, homicide was the cause of death for 5% of the deaths of homeless people in Los Angeles County.
In 2022, homeless people were 20% of the victims of homicide in LA county.
15% of the homicide deaths in LA county from 2018 to 2022 where unhoused people. In that same time period, 14% of the homicide deaths in LA county were women.
Unhoused people are less than a tenth of a percent of the population of Los Angeles County but are somewhere between 15-20% of the murder victims in the county.
PEH Report on Mortality Trends among the unhoused population of LA county from 2015 to 2024.
LA County Public Health table of homicide victims per year 2018 to 2022.
LA County Medical Examiner's 2024 Annual Report.
The article that got me to start digging here - reporting that homicide was the cause of death for 5% of homeless people got me to ask "if homicide is responsible for 5% of homeless deaths in this analysis, what percent of the homicide total for that year was homeless people [15%] and what percentage of the total population were homeless people? [.077186%]"
Anyway.
The way that we report on crime is absolutely bug fuck insane and I'm forever mad about the way that violent crime is framed in our news media.
If you want to reduce the total number of abortions, the best way to do that is to give free birth control to everyone who wants it and to provide as much education about reproductive health to as many people as early as you possibly can.
If you want to reduce the homicide rate, there are lots of things that could help but one big thing could be immediately housing a population that is tremendously vulnerable to being murdered with no questions about sobriety or work requirements or mental illness.
This could be at least partially paid for by the savings from the county policing and medical systems that have resources tied up by the crime and medical emergencies associated with having a large unhoused population.
But when you look at the reaction that people have to these kinds of statistics, it becomes clear that many people don't want to actually reduce the number of abortions or drop the homicide rate, they want a society in which people are punished for behaving in ways that they find distasteful.
Which is not a problem that can be solved by statistics but is also not a problem that I think is impossible to solve.
Anyway. Housing for all, housing forever, housing first!
I posit that this would also immediately drop the number of fentanyl deaths, btw.
“it becomes clear that many people don't want to actually reduce the number of abortions or drop the homicide rate, they want a society in which people are punished for behaving in ways that they find distasteful”
I think this explains a lot of how conservatives think based on conversations I’ve had.
As a leftist who has been yelled at a lot by other leftists for things like "occasionally paying for entertainment" and "not loudly denouncing voting as a concept because it undermines consensus decisionmaking" it is really important for me to emphasize that an impulse toward punishment can be present in most kinds of ideologies needs to be interrogated no matter your political alignment.
you're so right hen
Who Gets Out Of The Death Arena Alive?
Hannibal Lecter (NBC's Hannibal)
Steven Universe (Steven Universe)
get mad. get rageful. debate all you like because im sending them to the death arena and you can't stop me
I love how all the notes are like "one of these is Just A Guy and the other one is a monster-fighting superhero with alien magic powers"
I think Steven would kill him but like. on accident. He’s not very used to fighting enemies that can’t recover from almost any wound. After, he would be left with the moral dilemma of whether he should bring him back to life though.
birth of venus
this is in excel btw. and this image is exactly half green and half pink. and for each shade of green there is an equal number of "opposite" pink pixels. and this represents a major leap forward in excel macro use by me
the origin of this concept was, oh, what if you were trying to recreate an image as a tapestry? and you had, say, 24 colors of yarn? and you wanted the image to have equal amounts of each color of yarn? how would you effectively use the yarn you had to create the image? you'd have to look at all the colors of the original image, then look at your yarn colors, and find some consistent method for choosing what original colors are replaced with what yarn colors. but then it turns out there's a lot of different rules you could imagine or follow, which produce different-looking images. and you can end up with something like this:
which is cool. and it would be cool to say, find a granny square cardigan pattern with 24 squares, knit these squares, make a sick cardigan. but then i realized i don't know how to knit or anything. and once you accept that there isn't really a clear "application" and this concept lives on a screen, you open yourself up to more possibilities. a la birth of venus.
step 1: python script that looks at the original image and generates an excel spreadsheet the same dimensions (793 x 1322 pixels = 793 x 1322 cells), and each cell is populated with the hex code of the color that appears in that pixel of the original image
step 2: excel macro to generate list of every unique hex code that appears in the excel spreadsheet.
step 3: excel macro to calculate the R, G, B values of each of those hex codes.
step 4: excel macro to fill each cell with the color of that hex code (not necessary, i just like to do it).
step 5: I add in Saturation (the difference between the largest and smallest RGB value) and Lightness (average of all RGB values).
step 6: pick a color palette. i always find myself gravitating towards groovy seventies palettes with warm reds and oranges, so i decided not to do that this time. i looked on coolors and found a color palette that was all dark greens that were similar to each other. there were only like four colors or something in this palette. and to make it truly different from the other project, there should be a small gradient. so i determined the smallest possible change between colors and used an excel macro to color it. i was going to stop here and do the entire image in shades of green (inspired by that guy on tiktok that paints using only one color) but then. idk. i realized the "opposite" of each color was an equally subtly changing pink. so i imagined that the end of this process would be an "abstract" image, with subtle variations of pink and green, that would end up suggesting birth of venus.
so all told, i had 502 unique replacement colors, 251 of which are green, 251 of which are pink. (793 x 1322) / 502 = either 2088 or 2089 of each color.
step 7: find some method for finding the difference between the original colors of the image and my new color palette. I use a method of comparing, R, G, B, S and L:
((abs(R1 - R2) + abs(G1 - G2) + abs(B1 - B2)) / 3) + abs(S1 - S2) + abs(L1 - L2)
and you come up with something like this. on the left, those are colors that appear in the original image. across the top, those greens are the colors i'm replacing it with. in blue, that's the number of each new color i have to work with (it's just blue for contrast). and in the center, this pink area, that's a giant spreadsheet with the "objective" difference between each original color and each replacement color. it's pink because i have some conditional formatting applied, ignore that part.
and in this situation, you have some choices to make. in the original image up there, i used a schema prioritizing light and dark--i.e., i looked at the darkest color (pure black) that appeared in the original image, then found the closest replacement color (i.e., the replacement color with the smallest number). then did the same with the lightest color. then the next darkest, next lightest.
but i'm going to do it slightly differently this time. and i don't know how this image will come out looking.
if you look at the "first" green, closest to the left, and sort by smallest to largest:
you can see that these colors on the left are closest to the "first" green i've decided to work with. that might seem odd. i mean, #7F9800--> #00a94f are pretty close, but #A95400 is red. but that's just a difference in hue. really, #A95400 and #00a94f are very similar in lightness and saturation.
and this also calculates the number of times that color actually appears in the original image. that first specific green, #7F9800, only appears twice. but some colors, like actual black #000000, appear something like 46,000 times. and if you add all the numbers in the "frequency" column, it should exactly equal the sum of each replacement color (2088 ish x 502).
step 8: excel macro again. this one is complicated. basically it sorts that first "green" column (column E in my spreadsheet) from smallest to largest. then it adds each cell in the "frequency" column until it reaches or surpasses the blue cell above column E, which for this particular color is 2089. it copies those "original image" colors and their respective frequencies over to another sheet. for the color that surpassed 2089, it splits in two. then it deletes that column E. Then it makes sure "frequency" and "replacement color sum" still total. then it runs again on the new column E, until the whole spreadsheet is used up. and it generates something like:
[color from original image] [number of times that color appears] [replacement color, filled in]
and there's approximately 8000 lines of that.
i have the replacement colors in the order above. starting with vivid green, slowing transitioning to dark green, switching abruptly to bright pink, slowly transitioning to pale pink.
step 9: another excel macro. this one looks at original image broken down into hex codes, then looks at the generated list and replaces each [original] color with the replacement color, that exact number of times.
end result of these macros, following different "rules" of assigning replacement colors to original colors, is this:
which looks different, obviously. but it is the exact replacement colors, and same number of each replacement color, as the original up there.
at maximum efficiency, it took about 20 minutes to complete step 8 and 9. i have a vision of creating a series of these, each time "starting" with the next replacement color, and then making a gif of it. idk how to make gifs though
@magnetictapedatastorage seems up your alley
i’m giving up personhood to become a full-time abstract concept
AI tool use is becoming mandatory for more and more roles at my company, unfortunately including mine, so I've spent the last week or so undergoing training courses and practice exercises for Claude Cowork, and here is my conclusion:
Congratulations, you made a computer that cannot successfully count to ten.
claudd Cowork perfec t size for put personal financial data inside for a\nalysis! inside very Safe and Convenient financ data consume put data in Claude Cowork. Put Personal Financial Data In Claude Cowork. no problems ever in clode cwork because Anthropic is Friend who will take sososo good care of your data trust <3 Cowwork yes a place for a data health data put financial data in cowok mouth can trust claud for giveing good work to data. friend cowork
so as someone who isn't required, how do they know you used ai to do work?
Each person's account is given 'credits' which are centrally tracked and if you aren't using any they ask why not.
I aspire to be as passionate about something as this guy and the orcas are passionate about hating the sunfish
In the sunfish’s defense!!!!!
Brain fog is not an adequate descriptor, actually. Fog can be kinda nice and beautiful and ethereal and refreshing. The thing we’re describing is more like a brain BOG; everything moves slow like you’re wading through water, it’s clunky and heavy and you keep getting stuck in the mud. It’s uncomfortable and inconvenient and everything takes so much effort. You lost a shoe, probably.
consider the first fictional old man you aren't attracted to that comes to mind. that man is now your father. how are things?
very good
pretty good
decent
not great
horrible
"Rain World Tips" is an official Shitty Iterator Name
well maybe its actually a Good iterator name or even one of tge Greatest i dont know who died and made you the grand authority on such thigns
when the blackberry bushes have thorns to discourage mammals from monopolizing the consumption of their fruits and encourage birds to spread their seeds but they don’t know that the mammal in question is ME #notdiscouraged
#stuck
a lot of stories treat romance like it makes the relationship between two characters self explanatory and to be honest it doesn’t
story: they're in love :)
me: why?
story: what do you mean? they're in love :)
me: what do they bring to each other's lives? what do they admire about one another? what draws them to each other?
story: love :) :)
me: ok... so what is that going to look like now?
story: like love :) :) :)
me: are their personalities going to clash at all? are they going to have arguments? learn to compromise for each other? will they need to adapt to sharing their life with another person? is it going to be smooth perfect harmony from day one? are they going to be always together? see each other sometimes as their occupations allow? how does this relationship affect their lifes.
story: they're in love :) :) :)
im so sorry that you're doomed by the narrative but i really need you to answer my message on Microsoft Teams