This is an excellent example of parity violation
Aw yeah that’s what charts were designed for
October 5, 2025 at 7:28 AM
This is an excellent example of parity violation
Reposted by Drew Jamieson
A tricky thing about modern society is that no one has any idea when they don’t die.
Like, the number of lives saved by controlling air pollution in America is probably over 200,000 per year, but the number of people who think their life was saved by controlling air pollution is zero.
Like, the number of lives saved by controlling air pollution in America is probably over 200,000 per year, but the number of people who think their life was saved by controlling air pollution is zero.
April 7, 2025 at 4:13 AM
A tricky thing about modern society is that no one has any idea when they don’t die.
Like, the number of lives saved by controlling air pollution in America is probably over 200,000 per year, but the number of people who think their life was saved by controlling air pollution is zero.
Like, the number of lives saved by controlling air pollution in America is probably over 200,000 per year, but the number of people who think their life was saved by controlling air pollution is zero.
Reposted by Drew Jamieson
“You’re terminated because…?”
Fired federal employees are telling their stories—no deep state, just career public servants tossed aside.
DOGE’s mass firings aren’t about efficiency—they’re gutting expertise, wrecking lives, and calling it “reform.”
Fired federal employees are telling their stories—no deep state, just career public servants tossed aside.
DOGE’s mass firings aren’t about efficiency—they’re gutting expertise, wrecking lives, and calling it “reform.”
February 26, 2025 at 1:26 AM
“You’re terminated because…?”
Fired federal employees are telling their stories—no deep state, just career public servants tossed aside.
DOGE’s mass firings aren’t about efficiency—they’re gutting expertise, wrecking lives, and calling it “reform.”
Fired federal employees are telling their stories—no deep state, just career public servants tossed aside.
DOGE’s mass firings aren’t about efficiency—they’re gutting expertise, wrecking lives, and calling it “reform.”
Reposted by Drew Jamieson
An interesting hypothetical if you’re wondering if Elon Musk is a genius or not is to compare his behaviour in any situation to what a complete moron would do in the same situation
February 23, 2025 at 6:43 AM
An interesting hypothetical if you’re wondering if Elon Musk is a genius or not is to compare his behaviour in any situation to what a complete moron would do in the same situation
Reposted by Drew Jamieson
Coming around to the view that a certain kind of narcissist simply needs Musk to be a genius rather than a fraud, because they want to believe there’s a hereditary Brahmin class of accomplished, beautiful minds—and that they’re a part of that class.
February 22, 2025 at 5:45 PM
Coming around to the view that a certain kind of narcissist simply needs Musk to be a genius rather than a fraud, because they want to believe there’s a hereditary Brahmin class of accomplished, beautiful minds—and that they’re a part of that class.
Reposted by Drew Jamieson
Jamelle's Razor ("the stupidest reason Trump might do something is likely the actual reason") will serve us well in the next few years.
January 11, 2025 at 10:01 PM
Jamelle's Razor ("the stupidest reason Trump might do something is likely the actual reason") will serve us well in the next few years.
Reposted by Drew Jamieson
The Elizabeth Line this year moved more people than the 18 lanes of the 401 freeway, the widest in North America.
Traffic is simply a geometry problem, and adding one more lane won't fix it.
Traffic is simply a geometry problem, and adding one more lane won't fix it.
December 30, 2024 at 2:41 PM
The Elizabeth Line this year moved more people than the 18 lanes of the 401 freeway, the widest in North America.
Traffic is simply a geometry problem, and adding one more lane won't fix it.
Traffic is simply a geometry problem, and adding one more lane won't fix it.
Reposted by Drew Jamieson
“The Post Office loses money” yeah so does the Fire Department, shut the fuck up
December 30, 2024 at 3:10 PM
“The Post Office loses money” yeah so does the Fire Department, shut the fuck up
The only way the logic of this paper works is if we kill the humans doing the writing/illustrating. How did this get through peer review? Why is Nature so consistently full of such junk science?
www.nature.com/articles/s41...
www.nature.com/articles/s41...
The carbon emissions of writing and illustrating are lower for AI than for humans - Scientific Reports
Scientific Reports - The carbon emissions of writing and illustrating are lower for AI than for humans
www.nature.com
November 6, 2024 at 1:21 AM
The only way the logic of this paper works is if we kill the humans doing the writing/illustrating. How did this get through peer review? Why is Nature so consistently full of such junk science?
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Reposted by Drew Jamieson
Thats a pretty clever title a.co/d/eFAZEsP
August 25, 2024 at 6:07 PM
Thats a pretty clever title a.co/d/eFAZEsP
My First post on here, also a new paper on arXiv!
We trained a neural network to be a fast and accurate field-level emulator for large-scale structure, capturing the cosmology and redshift dependence of structure formation in N-body simulations. 🌌
Check it out:
arxiv.org/abs/2408.07699
We trained a neural network to be a fast and accurate field-level emulator for large-scale structure, capturing the cosmology and redshift dependence of structure formation in N-body simulations. 🌌
Check it out:
arxiv.org/abs/2408.07699
Field-level Emulation of Cosmic Structure Formation with Cosmology...
We present a field-level emulator for large-scale structure, capturing the cosmology dependence and the time evolution of cosmic structure formation. The emulator maps linear displacement fields...
arxiv.org
August 19, 2024 at 12:35 PM
My First post on here, also a new paper on arXiv!
We trained a neural network to be a fast and accurate field-level emulator for large-scale structure, capturing the cosmology and redshift dependence of structure formation in N-body simulations. 🌌
Check it out:
arxiv.org/abs/2408.07699
We trained a neural network to be a fast and accurate field-level emulator for large-scale structure, capturing the cosmology and redshift dependence of structure formation in N-body simulations. 🌌
Check it out:
arxiv.org/abs/2408.07699