DANGER DAYS SUMMER IS HERE TO STAY GET OUT OF THE WAY MOTHERFUCKERRSSSSS
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$LAYYYTER

titsay
styofa doing anything
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DEAR READER
PUT YOUR BEARD IN MY MOUTH
KIROKAZE
AnasAbdin
we're not kids anymore.
todays bird

oozey mess
2025 on Tumblr: Trends That Defined the Year
almost home
NASA

Janaina Medeiros
Cosmic Funnies
One Nice Bug Per Day

@theartofmadeline
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@dreameronthewind
DANGER DAYS SUMMER IS HERE TO STAY GET OUT OF THE WAY MOTHERFUCKERRSSSSS

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I hate the unearthly sound my phone makes when the weather service issues a tornado harbinger.
Types of Tornado Alert [Explained]
Transcript Under the Cut
happy tonta tuesday !
hello this is my favorite video ever please please
el muchacho monday

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Sainte Esconde des Mystères, une confidence pour une prière
Sainte Esconde des Secrets, montre moi ce qui est caché
My comic La Langue des Vipères was released this week in bookstores in France, Belgium and Switzerland !
This beautiful trailer was created by my friends at Potto Collective : @lholmesharfang , Luc Armanet, @noctambuleur , @estellito , @nomnomsandwich , @shliten, Matthieu Chavane and Fanou Lefebvre
summer sketches 🌾
Do y'all have any favorite card games?
I know this is the jaded post-irony website and we all wanna be funny, but I am genuinely asking. Please, tell me about a good memory you have with some loved ones and a stack of standard playing cards.
I learned most of the games I play in the convent but I remember as a kid my dad taught me crazy 8s and we’d play it for hours
Oh, to be a tiny mermaid to escape the heat
Andrea Calisi (Italian b.1968), The Bridge and the Blue Knight, 2026, Illustration

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it's called a ball python because it is a python(🐍) that ball(🟠)
nothing in the rules says a python can't play basketball
Don’t go where I can’t follow…
I think those fancomics where Calvin from Calvin and Hobbes is transgender are cute and fun but I also think it's a deep misunderstanding of Calvin's character to think he would transition into a heterosexual normie who goes to her high school reunion. That girl would have neopronouns and fang implants
Adult Calvin is a tattoo artist named Panthera who is the bassist in a terrible metal band called Captain Napalm and Hobbes helps do faer E injections
I know it's like 2 weeks too late to change it but I'm so mad I didn't realize that the band would obviously be called "Get Rid Of Slimy GirlS". I walk the road of shame
australian sour patch kids have gluten in them i am truly at my fucking limit im crashing out im waging war against wheat idgaf anymore
oh is that one of those things where ableist companies put in traces of common allergens so they can just avoid the cost of making it safe
WHAT
A trend we predicted in 2016 continues.
US based but it’s similar reasons in other countries. and of course many companies have international locations. idk if that’s why it’s happening with sour patch kids but this is a thing
I cannot even explain how ANGRY I am at this.
My nephew is very allergic to eggs, peanuts, tree nuts, and sesame. Last year my sister discovered all hot dogs and hamburger buns now contain sesame. Not "may contain", but listed in the ingredients. This year basically every brand of sliced bread also now contains sesame, making it very difficult to find bread items he can eat.
They're just adding it to their products, so they can just list it as an ingredient and not bother with worrying about cross contamination. And they aren't even bothering with telling anyone. Capitalism is going to kill us all.
"Which brings us back to Kellogg’s. Back in 2016, the company found a way around the added burden and expense of complying with the FSMA: they simply began adding trace amounts of peanut flour to their cracker products. Doing so allowed them to list peanuts as an ingredient of the product, freeing them from having to prevent cross-contact.
At the time, Kellogg’s notified Food Allergy Research and Education (FARE) about the impending change and left it to them to warn the allergic community. In this case, Pearson’s didn’t even bother as near as we can tell."
The peanut flour thing is happening all over. Watch out for things like breakfast bars, cookies, etc..
Check everything, even if it was safe last month.
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
@ex-libris-craux

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The U.S. Justice Department and 17 states have reached settlement agreements with three major egg producers over allegations of that the com
Thank goodness that justice is being served, and the companies that stole from every American family to the tune of tens or hundreds of dollars are being forced to pay less than one cent per person they affected!
“Teachers are often unaware of the gender distribution of talk in their classrooms. They usually consider that they give equal amounts of attention to girls and boys, and it is only when they make a tape recording that they realize that boys are dominating the interactions. Dale Spender, an Australian feminist who has been a strong advocate of female rights in this area, noted that teachers who tried to restore the balance by deliberately ‘favouring’ the girls were astounded to find that despite their efforts they continued to devote more time to the boys in their classrooms. Another study reported that a male science teacher who managed to create an atmosphere in which girls and boys contributed more equally to discussion felt that he was devoting 90 per cent of his attention to the girls. And so did his male pupils. They complained vociferously that the girls were getting too much talking time. In other public contexts, too, such as seminars and debates, when women and men are deliberately given an equal amount of the highly valued talking time, there is often a perception that they are getting more than their fair share. Dale Spender explains this as follows: “The talkativeness of women has been gauged in comparison not with men but with silence. Women have not been judged on the grounds of whether they talk more than men, but of whether they talk more than silent women.” In other words, if women talk at all, this may be perceived as ‘too much’ by men who expect them to provide a silent, decorative background in many social contexts.”
—
PBS: Language as Prejudice - Myth #6: Women Talk Too Much (via misandry-mermaid)
Every EVERY women’s studies class I’ve been in has had this problem and failed to address it.
(via iamayoungfeminist)