#for all the racists #for all the bigots #for anyone who looks down on others #souls #trans lives matter ❤️🧡💛💚💙💜

Origami Around
Three Goblin Art

❣ Chile in a Photography ❣
d e v o n

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JVL

Product Placement

@theartofmadeline
Stranger Things
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"I'm Dorothy Gale from Kansas"

Love Begins
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Aqua Utopia|海の底で記憶を紡ぐ

ellievsbear
Alisa U Zemlji Chuda
noise dept.
I'd rather be in outer space 🛸

#extradirty
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@plasticpaddypogue
#for all the racists #for all the bigots #for anyone who looks down on others #souls #trans lives matter ❤️🧡💛💚💙💜
Pride of Baltimore II
📷 @jefcrosby
Peltola Unveils Plan to Restore Alaska Fisheries, Target Factory Trawling Native Vote 2026 Former U.S. Rep. and U.S. Senate candidate Mary Peltola (Yup’ik) on Wednesday announced a comprehensive plan aimed at restoring Alaska’s declining fisheries, pledging to combat factory trawling, reduce bycatch, and strengthen the state’s seafood economy....
Kilchurn castle , Loch Awe , Scotland
Two women from 1949 posing together in iconic motorcycle fashion, wearing vintage leather jackets, cuffed jeans, and aviator goggles
A woman in a classic motorcycle cap and leather jacket posing alongside a 1948 or 1949 Harley-Davidson, capturing the pioneering spirit of early female riders.
This is a vintage photograph of Vivian Bales, the pioneering motorcyclist known as the "Enthusiast Girl". At 20 years old, she famously rode her 1929 Harley-Davidson Model D (a 45" flathead motorcycle) across the United States for 78 days and 5,000
Fitting post seeing as it’s bike week and the Laconia Rally is this weekend
see this is exactly what I'm talking about. this labour is so incredibly invisibilised that there are real human beings, walking about amongst us, leading normal lives, etc., who earnestly believe that machines can make an item of clothing from start to finish.
Hey just in case someone on here doesn’t quite understand how labor intensive making a garment is, here is a list of things that (to the best of my knowledge) cannot be done by machine alone, from a costumer/tailor in training
Cutting - in my opinion, the most labor intensive part of the process. The amount of time/effort needed varies depending on the pattern and if seam allowance is included or marked separately, but no matter what this process can not be done by machine. Each and every panel and piece of fabric that goes into a garment must be cut by hand by a person.
Pinning/clipping - pinning (or clipping) is the stage at which you align the pieces you are going to be stitching together and hold them together with — you guessed it! — either pins or clips. This can not be done by machine.
Stitching - the actual sewing. This can be done by a sewing machine, but that machine still needs to be operated by a human being.
Ironing/pressing - two words that mean the same thing. The iron itself is a machine, but once again, it needs to be operated by a human being.
Finishing - depending on the technique you use, there are certain finishing techniques that can only be done by hand. But, let’s assume we’re talking about fast fashion, which is usually just finished with a simple overlock/serger. Once again: these machines need to be operated by people.
These are just the basic steps to making a garment, and don’t include textile arts that I am not as knowledgeable about, such as weaving, knitting, and crochet. Also, it is important to note that there are a lot of things that can only be done by hand, such as certain stitches and decorative techniques.
Also, the machinery being operated in textile factories is not equivalent to a domestic sewing machine. We’re talking about one of these guys:
See that gray cylinder under the table, behind the knee pedal? That’s the motor. These machines can sew through your fingers bones and all and not even stop. The people in these factories and sweatshops are operating heavy machinery, and are subject to all the risk that comes with that in addition to all of the work I mentioned above.
Please respect textile workers and continue the fight to eliminate the use of sweatshops and exploited labor in the fashion industry!
QUARK deserves all of the disgusting cultural ubiquity & power that Yoda and his foul child possess
Smart woman next to an unbelievable achievement is a picture niche that will never get old
Then you’re gonna love this photo of Annie Jump Canon.
Working at Harvard in the late 1800’s and early 1900’s as a “Computer”, Annie Jump Cannon cataloged stars using their spectra from photographic plates, in an effort to understand the mysteries and peculiarities of stellar spectra.
This was hard, detailed, nuanced work. By 1889, three years into her work, she had classified over 1,000 stars. By 1913, she could classify 200 stars an hour. She could classify three stars a minute, just by sight. Using a magnifying glass, she could classify stars down to 9th magnitude, 16 times fainter than the human eye can see. And she did this all with exceptional accuracy.
Over the course of her career, she personally classified more than 350,000 stars, accounting for a mind-boggling 98% of all contemporary stellar spectra classifications, a feat that wouldn’t be bested until the 1990’s with automated digital sky surveys.
Cannon used these classifications to develop the Harvard spectral classification system (O–B–A–F–G–K–M), organizing stars by surface temperature and physical properties.
It is hard to overstate just how foundational her work was to modern astronomy and astrophysics. Her classifications have enabled more than a century of breakthroughs in stellar structure and evolution, including the understanding of how stars change over time and how temperature, luminosity, and composition are related. The system underpins the Hertzsprung–Russell (HR) diagram, one of the most important tools in astrophysics, and remains embedded in modern research, from stellar population studies to galaxy evolution.
The immense scale of her work was itself a massive contribution to astronomy. For comparison, before Cannon, star catalogs contained between 600 and 4,000 stars. Her work single-handedly proved that large-scale stellar classification was both feasible and scientifically valuable. She helped establish systematic star catalogs as a core method of modern astronomy and laid the groundwork for astrophysical research on stellar structure, evolution, and populations that continues today.
undiagnosed autistic people will be like "I don't get upset when my routine changes though!!" and it's because they've built a set of if-then loops in their head to pick from one of 6 different strict routines and they do get incredibly upset when they're unable to keep to any of the 6 scripts. I'm john normal
This is called a fault tree. You will always know how to act if your fault tree captures all possible scenarios. In NASA Mission Control during mission critical events like landings there are huge binders with fault tree protocols, kind of like choose your own adventure books except you’re not the one making the choices, the universe is making them for you and you’re just trying to keep up.
The engineers who develop fault trees, I am told, often imagine new ways for their precious spacecraft to die (new branches on the fault trees) either while in the shower or lying awake at 3am, because human
Was just thinking about this the other day. Yeah I have a favorite seat on the bus (middle of the bus, near the back doors, slightly elevated, facing forward), but I don’t get upset if someone is already sitting there, I just pick one of my other favorite spots. Then I realized that most people probably don’t have a favorite bus seat, let alone a series of backup favorites.
Oh my god it's like looking in the mirror.
by Joey Guidone
"That’s what makes Zohran Mamdani’s election in New York so unsettling to the old order. New York City is not just another municipality; it’s a sovereign-scale entity. Its population surpasses 38 states. Its metropolitan GDP trails only Texas and California.
It is, by any metric, a small country masquerading as a city.
It governs more lives and more wealth than most nations. If democratic socialism — housing reform, public banking, equitable taxation — functions here, it obliterates the myth that such governance can’t work at scale. The fear isn’t ideological. It’s empirical. Because if Mamdani can keep the lights on, reduce homelessness, and maintain economic growth without catering to Wall Street, then the capitalist gospel collapses under its own dead weight.
What terrifies the establishment isn’t failure. It’s feasibility.
If it works in New York, there’s no reason it can’t work in Nebraska. If it works in Queens, it can work in Kansas City. And once proof exists, belief becomes irrelevant. The ship of democracy, fully refitted, will keep sailing — and no one can claim it isn’t American."
- Jackie Summers
Well written and great points.