hello, welcome to brainrot

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.

“You’re not coping” Ok here’s the deal; I’ll stop feeling this anger when we have a national memorial (we don’t) or a cdc equipped to stop it from happening again (we don’t) or a population that takes a deadly disease seriously BEFORE it effects them personally (WE DON’T!)

then someone gets brave and makes a character who is a real bastard and makes all the wrong choices and is maybe even malicious at times and they make this character explicitly queer. and then fans are like "this is what you think of us?? worst representation ever" and the creator gets absolutely lambasted, ESPECIALLY if theyre queer themselves

then everyone else sees this and either thinks its too risky to include a queer character, or wants to make sure they're only doing the good and nice representation with no flaws or mistakes

@velvetdemon I'm doing a full reply because I want to give this question the time and space it deserves, and I really do appreciate your curiosity about this.

The short answer: It is deeply unethical. There are nowhere near enough willing patients in the world to be able to do this, and it would be criminal to put them through this.

The long answer: The one side of the equation you're focusing on is: how much of a drug is too much, to the point where it will cause negative side effects or even death? And this is crucial to know. But it's not just a matter of finding out the lethal dosage of a heart cholesterol medication, you need to know that it can actually lower the cholesterol of any living thing. There is no way to know this without giving it first to...a living thing.

But beyond this, I need to emphasize: The goal of a drug trial is to effectively cure people who are already suffering from disease, who are living on limited time.

Drug trials don't just happen on any member of the public, they need to happen specifically on people affected by the disease you're trying to treat. There is at any time a very limited and very marginalized population of the world affected by early onset, familial Parkinson's disease. Because you cannot ethically induce disease in a human being, you are working with, speaking with, and helping patients and their families who are hopeful and desperate for a cure.

If you were to jump straight to human trials from petri dishes, not knowing absolutely anything about how the drug functions in a living, breathing animal body, it would look like this:

We didn't know that minute quantities of the drug interact lethally with x, y, z medication that people are commonly also taking. X number of patients have died as a result.

We didn't know that the drug is fatal to people with [common variant] in their genetics. X more patients have died.

We didn't know the drug exacerbates x, y, z chronic illnesses. X number of people have acquired permanent, lifelong disabilities.

We didn't know the best way to deliver the drug, so we tried multiple ways: the people who received it intravenously are now suffering from a painful, costly, and debilitating condition that did not happen with the ingested form.

I could go on, and on, and on.

The vast majority of these problems can be nearly or almost entirely averted by testing other animals first.

These are all people who possibly could have waited for the normal progression from animal testing to human testing and thus received better outcomes. Some people will pass away in the time it takes to get to that point, and that's heartbreaking, and we all wish science could be faster.

animal research is not the mad scientist wild west that PETA wants you to think it is. there are extremely strict federal laws in place to protect the well being of these animals. animal welfare organizations like AAALAC ensure that lab animals are treated with dignity & respect and are given enough specialized care & enrichment to be happy and content in captivity, just like AZA accreditation with zoos.

not a single animal from a zebrafish to a mouse to a dog to a macaque goes unaccounted for. if an animal gets moved to a new cage, paired for breeding, has a procedure performed on it, gives birth, gets sick or injured, dies, etc. it is legally required that this information is recorded and kept on file for the US federal government to access. failing to record & retain this information is very much punishable by US federal law.

let me tell you - if you abuse or kill an animal, even a mouse - you are almost certainly getting both fired & blacklisted from the industry. if you abuse or kill a more ‘advanced’ animal, such as a dog or monkey, you will likely face criminal charges. killing a monkey is as serious and disastrous as a nuclear meltdown. you are expected to reasonably explain every illness, injury, or death of an animal under your care. you must record all of this information. animals that are clearly suffering with low QOL are required to be euthanized according to AVMA guidelines.

research animals are highly expensive. yes, even the "lesser" animals like mice. the cheapest mice will run you a few hundred $ per individual, with some of the most expensive mice i've cared for being $25,000 per individual. in research we have the "three Rs" - reduction (reduce amount of necessary animals to a minimum), refinement (refine processes to ensure research is accurate and animals feel no pain or distress), and replacement (replace animals with non-living research models as they become available). i can assure you no proper research team is wasting animals (*do not* say "b-b-but elon musk--" his research team is actively being investigated for animal abuse by the government).

research methods that do not require live animals are currently being looked into & efforts spearheaded by - you guessed it - the animal research industry itself (notice how the animal rights people are strangely silent & unhelpful when it comes to this?) but current technology is rudimentary and does not compare to live animal models.

some research animal fun facts (US edition):

all species of animals are only allowed to have one single major surgery performed on them in their entire lifetime.

institutions with nonhuman primates must have a behavior program in place (run by knowledgeable primate specialists) to ensure that they are happy and receiving enough daily enrichment and social interaction.

institutions with dogs are required to have physical exercise programs in place. this means every individual dog gets a substantial amount of leashed AND free-roaming exercise daily, including playgroups with other dogs.

a majority of nonhuman primates get to retire to sanctuaries like peaceable primate sanctuary, and almost all dogs get retired and adopted out by organizations like homes for animal heroes. some institutions will also adopt out unneeded young rabbits, guinea pigs, rats, etc.

some strains of mice glow neon green (or orange or blue) under UV light. this is not harmful to them and is commonly seen in cancer research.

At the moment, this is not a substitute for animal testing. Bodies are incredibly complex and interconnected environments that we're still scratching our heads about, and animal testing is in a lot of ways the most efficient and least harmful way of testing things like medications.

If anyone wants to read more about these subjects, here are a few starting points (you will probably learn some new words, this is okay!):

Advances and Applications of Predictive Toxicology in Knowledge Discovery, Risk Assessment, and Drug Development research topic by the Frontiers in Pharmacology journal

Novel methods and technologies for the evaluation of drug outcomes and policies research topic by the Frontiers in Pharmacology journal

Spotlight on Artificial Intelligence in Experimental Pharmacology and Drug Discovery research topic by the Frontiers in Pharmacology journal

The Emerging Discipline of Quantitative Systems Pharmacology research topic by the Frontiers in Pharmacology journal

PDF Drug Combinations: Mathematical Modeling and Networking Methods by Vahideh Vakil and Wade Trappe

PDF Machine learning-based drug-drug interaction prediction: a critical review of models, limitations, and data challenges by Flaviu-Ioan Gheorghita et al.

PDF A review of 3D bioprinting for organoids by Zeqing Li et al.

3D Bioprinting for Engineering Organoids and Organ-on-a-Chip: Developments and Applications by Yuqing Ren, Congying Yuan, et al.

3D bioprinting of human iPSC-Derived kidney organoids using a low-cost, high-throughput customizable 3D bioprinting system by Jaemyung Shin, Hyunjae Chung, et al.

His final spasms had been mesmerizingly acrobatic. The fall down the steps leading up to his iron throne had pretzelled his body quite impressively, both arms folded behind his back and one leg bent at a jaunty angle.

The goblin looked at the orc. The orc looked at the goblin.

"Shit," said the goblin.

"Shit," said the orc.

"We're likely to get blamed for this," the goblin said. She walked over to the head of the glittering mangled heap and started pulling the helmet off.

"It's not our fault," the orc said. "It's hard to help someone choking when they wear two-hundred pounds of spiked armor at all times."

"Yeah, well," the goblin grunted. The helmet came free, and the bald head of the Overlord bounced on the stone with a hollow, coconut noise. "You know how it is in this bloody country - thieves get their heads cut off so they can't think about thieving, and all that." She fished in the Overlord's mouth with a finger and pulled out the obstructing olive on the end of her claw.

She popped it into her mouth and chewed. "What do you reckon they do for a regicide?" she said.

"We should run," the orc said. She had started bouncing her leg. "I hear that there's some places in the Alliance where they just kill you and let you stay dead. That's got to be nicer than what'll happen if we stay here."

The goblin started to nod - and then her gaze fell on the helmet.

It looked like a pineapple designed by a deranged blacksmith. It was all thorns and spikes and hard edges, as though the maker had been very determined to not let pigeons roost on it. The only bits that weren't solid iron were eyeholes. Nobody had ever seen the Overlord's face.

She held up the helmet and squinted from it to the orc. One of the thorns had been bent badly in the fall.

Nobody had ever seen the Overlord's face...

"Right," she muttered. "Right. Could work - or."

The orc had a sudden vision of the immediate future. "No," she said.

"I mean you're about his height-"

"No."

"It would just be for a-"

"Absolutely not."

"Just hear me out," the goblin said. "Outside of this room are two-thousand men and orcs and goblins who are absolutely gonzo about this man, and there's a whole country of them outside of the castle, and at any moment someone's going to walk in that door and see one dead tit in black armor and two unbelievably dead idiots next to him.

"Or." She tossed the helmet up like a basketball to the orc, who fumbled and tried to find somewhere to hold it that wasn't a knife's edge. "We chuck him out the window now, walk out the door in the armor, and ditch the armor as soon as nobody sees us."

The orc had started bouncing her leg again. "They'll know something's up the second I walk out of the room."

"No worries," said the goblin. "Leave that to me."

---

It had been a very strange year for the Empire.

Change had rolled across the land as slow and inevitable as a glacier. Roads and bridges carved the gray, blasted wildlands, and a number of social reforms had made the country a place where you could be miserable, yes, but miserable in comfort and safety, and that was an improvement.

Barely anyone got boiled alive in molten metal, and even if the disgusted sun never rose to light the Empire, at least you had a roof over your head to protect yourself from the acid rain.

you've seen the jokes. india is "dirty", indians are "everywhere", why don't they fix their own country. ok. let me tell you why, and what's happening right now while nobody's watching.

first, the history you skipped: britain ruled india for two centuries and drained it. economist utsa patnaik's research estimates around $45 trillion in today's money was taken. the india that got independence in 1947 was one of the poorest countries on earth. every "why is india like this" question starts there. you don't get to profit off a robbery and then mock the crime scene.

now, what's happening RIGHT NOW:

in may the question paper for NEET leaked. that's the national medical entrance exam. over 2.2 million students took it. cancelled. years of studying, families' savings poured into coaching, gone overnight because someone sold the paper. students died by suicide after. these were kids who wanted to be doctors.

and out of that came a protest movement. a gen z group called the cockroach janta party, started by a 30 year old named abhijeet dipke, got 22 million instagram followers within DAYS. they've been doing a sit-in at jantar mantar in delhi demanding education minister dharmendra pradhan resign.

and then there's sonam wangchuk. if you've watched 3 idiots, he's the real engineer the character was based on. built solar schools in ladakh. invented ice stupas so himalayan villages have water. spent his whole life on education. he's 59 and he's been on hunger strike for 17+ days now. reporters went to see him this week and he was too weak to talk. and the troll armies are calling him "anti national" and "foreign funded". a man starving himself for other people's children. that's the thing here, anyone who asks a question is suddenly a traitor.

it's not one incident, it's everywhere you look:

• infrastructure worth thousands of crores failing within months of the ribbon cutting. tunnels collapsing in regions where heavy rain is a guarantee, not a surprise.

• youth unemployment near 10% for ages 15 to 29, 13.6% in cities. in a country of 1.42 billion where more than half the population is young.

• only about the top 3% of indians earn above 10 lakh a year. meanwhile billionaire wealth keeps ballooning and the headlines celebrate it.

• manipur burned for over two years. an ethnic conflict, tens of thousands displaced, and the prime minister barely said the word manipur while it happened.

• journalists raided. critics' houses bulldozed. activists sitting in jail for years without trial under laws like UAPA. our press freedom ranking has cratered.

• even the petrol is a fight now, ethanol blending pushed through while drivers complain about their engines and get no straight answers.

and through all of it, the PM, who came to power on religious polarisation (americans, sound familiar?), travels abroad for photo ops and has not held one single open press conference in over a decade. not one.

what i'm asking:

if you're not indian: share this. our media mostly won't cover any of it because the big outlets are owned by the same billionaires the government serves. the only reason wangchuk's fast is getting any coverage is people refusing to look away.

if you ARE indian: speak up even if you're comfortable. especially if you're comfortable. join the protests. add to this, correct me, translate it. staying quiet is a choice when nothing in this post touches your life.

india is not "dirty". india was robbed, and it's being robbed again, from the inside this time. but it's also the country where a 59 year old will starve for strangers' kids and 22 million young people will rally behind a party literally named after cockroaches, because cockroaches survive everything.

we can still save her. but only loudly.