I thought trump was bringing American jobs back? So far he's impacted thousands, maybe even hundreds of thousands of jobs in 2 days, and hasn't even made a plan for how to get americans hired.
(yes, a miniscule piece of me is enjoying how fast the Schedenfreude came. But still, I do mostly want to focus on fixing the country over pointing fingers).
Watch. In the mid-terms there will be violence. Then possibly martial law. Then the end of our constitution.
Then Trump will have us all spying on each other to see who's loyal and people will just get murdered without consequence.
He will do everything in his power to become a dictator.
Eggs, Chicken, Beef, and Rent will either stay horrible or get worse and with so many Federal jobs being wiped out, unemployment will go up.
They needed to get past the mid-terms to do the most damage, but they are not heading in that direction.
And if he tries to use the military on U.S. citizens, we should expect a serious push back. Our military is drilled with "all enemies foreign and domestic".
Here's a simple, and bloodless one - when you lose, do the same thing that happened in 2020 - come up with a billion different lies - that you know are lies - about how the election was fraudulent - except this time, Congress and the VP will actually fail to certify the results, it'll go to SCOTUS, which will decide 6-3.
There are also bloodier alternatives.
The system only works when everyone believes that it works, and that they'll be punished for defecting. It's just been made very clear that there will be no punishments for treason.
This by its very nature necessitates a temporary freeze on all human resources activites pending reviews to see if any as they currently stand violate equal opportunity guarantees and other requirements based on objective factors.
Personally, and I say this as a minority (Japanese-American male), I 300% approve of all this. People must be hired based on their character and capability, not because they happened to be born with the right skin color or sexual organs.
The problem is what "qualified" means under Affirmative Action, DEI, et al..
As a Japanese-American, I've both first- and second-hand witnessed racism against Asians (and Whites) in favor of Blacks and Hispanics in the name of Affirmative Action. That is racism and discrimination in both ways and there have been court rulings prohibiting Affirmative Action, I in absolute terms cannot in good faith accept Affirmative Action.
The "D" in DEI stands for "Diversity", which in the majority of cases meant hiring people with stronger weighting placed on their race or nationality and sex. This again is very literally racism, sexism, and discrimination and completely unacceptable.
The "E" in DEI stands for "Equity", which in clearer terms means Equal Conclusions, not Equal Opportunities as indirectly declared in our Declaration of Independence (all men created equal with an unalienable right to pursuit of happiness). This is an affront to one of the very cornerstones of our country and the American Dream, which is completely unacceptable.
Lastly the "I" in DEI stands for "Inclusion", which would be fine were it not for the fact that the actual implementation has involved excluding peoples who do not subscribe to certain narratives. Nowhere has this been more obvious than in politics and specifically identity politics, where the Center and Right simply call me an American but the Left call me various labels. I very sincerely don't have time for that divisive bullshit.
As someone who loves and appreciates science and technology and all the wonders we can accomplish, I reiterate my 300% support for the absolute rescinding of equity-based hiring and other equity-based human resources programmes. As Martin Luther King once said, I too dream of a day when everyone will be judged by the quality of their character. I dream of a day when everyone will be judged by what they are capable of, not what they are born as.
I hope we're on the cusp of reversing course on all that so we can make MLK's dream a reality again.
Where did I say that?
DEI is ideology and hidden threats of retaliation under the guise of "equality". And because nothing can be explicit, or it's all hidden under feel-good language (exactly the kind you used in your post). It adds a layer of redirection about what's really going on, and it all gets put forth with everyone having the understanding (because of examples) that if they don't find "diverse enough qualified" candidates, then they are racist and will be punished.
Meanwhile, the language provides cover for blatant anti-white, anti-asian and anti-male discrimination:
https://www.cnbc.com/2021/06/06/tech-industry-2020-anti-raci...
They even have specialized software that uses AI to determine race (profiling?): https://www.piratewires.com/p/gem-hr-software-dei
Or what about ESG that has a racial-quota point system that allows investors and people to discriminate against companies that don't conform? https://corpgov.law.harvard.edu/2021/10/30/racial-equity-aud...
This kind of stuff is just the tip of the iceberg, there is more: https://www.bloomberg.com/company/press/bloomberg-2023-gei/
What about the fact that several countries (Western) have explicit gender-based quotas enacted as law. E.g. Norway, Germany, France, India, and others.
Or what about countries that have actual race-based points systems to discriminate against minority (white) groups: https://en.wikipedia.org/wiki/Black_Economic_Empowerment And no, just because it's some obscure and obfuscated "points system" doesn't mean it isn't racial discrimination, profiling and retaliation against companies that don't conform.
How some places in the US have race-quotas for boards: https://pacificlegal.org/discriminatory-mandates-prevent-qua...
And there are so many more, it's right infront of our eyes:
https://www.msn.com/en-us/money/companies/red-state-sues-tec...
So why don't we drop the pretense, ordinary people see what's really going on, and no amount of sugar-coating and "feel good" words will make the very real discrimination go away, and they won't be gaslight and have their concerns waved away because of "falling for right wing propaganda" and "please read up on what DEI truly is".
Perhaps for some it's viewed as a positive if these groups are underrepresented in terms of percentage of federal employees as long as their roles are filled by someone perceived to be more capable with stronger character (weird how frequently that's a white guy these days).
This is how you tear the government down and replace it with corrupt oligarchic interests
Larry Ellison said it on record if anyone doubts it. "Citizens will be on their best behavior because we are constantly recording and reporting everything that's going on."[1]
[1] https://arstechnica.com/information-technology/2024/09/omnip...
What a dystopian hellscape we are approaching.
If you're waiting for American voters to wake up and demand good governance you'll be waiting a really long time.
Additionally there is undeniably a lot of waste, nepotism / back scratching, and completely ludicrous funded social “science”.
While what’s happening now may wind up bad, I have seen very little push from the establishment itself to do anything to restore public faith in the current system. Trump is the executioner, but the conviction was handed down before he came around.
@dang why is this flagged?
I'm not saying research fraud doesn't matter or isn't worth the stories written about it. I'm saying that people commenting on it generally don't have any sense of its scale, and fill in some very weird blanks about it.
There was decades of “but everyone is doing it!” in the system, so much so that fraudsters became presidents of Ivy League institutions. The reckoning has not come.
And that's not to speak of things like biotech which is full of photoshopped images of fluorescence and whatnot.
People are counting on readers not to know or take the time to learn how much research is happening, so that individual instances of the problem (in the United States) seem systemic.
* The post is a sample of papers across many fields
* It describes a method to determine whether widespread p-hacking is occurring in a field
* Widespread p-hacking in a field will lead to unreproducible results (because the results are an artifact of the data rather than reflecting any underlying cause)
* You said: The replication crisis stuff is mostly a message board fixation. The problem we have is that people unfamiliar with the field don't have a sense of what the denominator is, only the numerator.
* The approach in the post uses a statistical method across many papers across many fields. It does not rely on the existence of some number of non-replicable results (in fact, one should expect some percentage of results to be non-replicable).
* Therefore, it doesn't rely on "the numerator" so to speak, but a sample of all papers in a field to characterize the field's replicability.
You're a smart guy. I follow your posts here and on Twitter. So I can only assume that either I've flipped some bozo bit or something in my communication style is abstruse. I don't understand why you're saying that p-hacking has nothing to do with the replication crisis (most would expect the two to be quite related), or that saying "the replication crisis is real" means I am claiming that individual papers exist that are non-replicable (which is fine, but not a replication crisis). In either case, we're clearly getting nothing out of talking to each other so I might as well leave off here.
Either way: people are responding to specific stories about fraudulent research, and my point is that the numerator of those stories is infinitesimal compared to the denominator of how many papers are published in these fields annually, by how many separately-funded R1 research teams.
I'm really not interested in being boxed into a debate about whether p-hacking matters, or scientific fraud exists. Fraud is bad! I'll just keep reiterating that the optimal level of fraud in a large system is almost never zero.
† That article is about a bunch of different fields, and I'm commenting only on a very specific subset of them; fuck do I know how well social science is operating right now
I've been trying to think about what you meant since you wrote this earlier in another comment, and I'm having some trouble wrapping my head around it so I think I'll just ask (if you'd be so kind to explain).
What makes some level of fraud more optimal than zero fraud?
Grinding all scientific research to a halt to "true up" the statistical reporting used for otherwise valid and important research results would be a very good example of an intervention that would (a) "reduce fraud" and (b) leave us all significantly worse off.
Whether it's mine processing, agriculture, bank lending, { insert domain } there are always a number of drags on profit ( fraud, equipment wear and tear, petty theft, holes in fences ) and generally always a threshold past which the cost of pursuit of perfection exceeds the decreasing marginal benefit.
That is to say, Zero is the optimal in an imaginary system, where cows are spherical and you can make all the assumptions you want.
Once you start working with real world systems with more and complex constraints, the simple story goes away, and perfection is not possible.
The phrasing challenges the reader to question the model with which they are using to define optimal.
"Conforming or limited to the simplest, nonfigurative, or most obvious meaning of a word or words. "
"Word for word; verbatim."
Taking the sentence in question verbatim would be "some fraud is optimal". The nuanced (non-literal) interpretation is what Thomas wrote.
It is very much a crisis and one that academia has no interest to solve.
In a sane world we'd start with figuring out what the mystery meat in the version of pytorch used for training is and work up from there. There is zero funding for building up the required infrastructure for doing actual science instead of whatever the fuck you call the current mess.
Basically anything on a more complex dataset than cifar is probably a statistical fluke because of hyper parameter tuning. To find this out you will need to spend three months building up all the bit rotten code that doesn't work from the paper. To draw the conclusion that everyone is full of shit you'll need to waste years of your life.
Instead, we're making astounding progress at a rate that no one really would have expected.
Learning to replicate papers is a skill. It's just a matter of practice. You'll get it if you try.
A lot of small to medium sized companies fighting for mind share also release one script deploy pipelines for their work, which are better than the academic releases.
It's western universities and big tech that releases at best bit rotten code and at worse no code what so ever.
It's hard to even name mediocre advances that come from anywhere else. As well as the entire hardware and software stack that we have.
You clearly have some sort of political agenda here and not a technical argument.
Transformers weren't scaled at google because it would eat their ad business. We could have had current level AI in 2020 if they'd been serious about it. They weren't and everyone who worked on it left when the gold rush started without having done anything meaningful in google.
Computer vision, which is the field I've been working on the past few months, is even worse.
Perverts in their basements are getting better than sota image recognition so their wifus have realistic vaginas, and writing tutorials which provide more working insights than any scientific paper.
This isn't a new thing. I dropped out of my PhD working on something similar to AlexNet in 2009 because everyone thought I should just use gradient boosted decision trees like everyone else at the time. I couldn't get $10,000 grant to buy a machine to run the training on.
It isn't just me. Yann LeCun's networks were running the postal service, but he couldn't get a paper published anywhere because it wasn't a hot area to publish in.
But, yeah. Tell me more about how great Western academia is.
The word “public” is key. You know, the overall population.
They were also vaccinated for other diseases. Join the military and you sign away a lot of your rights (arguably for some good benefits, but we'll see how the new VA head and others treat the veterans and current troops).
The war would be over long before that process concluded.
Or maybe the military can decide to order unapproved vaccines?
Science works. Amazingly well. We're making progress on cancer, on many disorders that used to kill or limit many people's lives.
Instead of actually looking at what science does for you constantly, every day, you prefer to attack people.
The result will be tragic. Realistically, your loved ones will die of heart disease or cancer. Sounds like a really smart move to not fund science that will save their lives. Much better to support Trump and save up for their funerals!
They didn't say it was. Or did they edit?
Or are you suggesting that this is to get back at NIH because of Fauci?
Or, are you saying that Republicans hate cancer research, or...?
Yes, I believe thats a main driver for why this administration does not like the NIH
Which itself is amazing, considering that he was in charge while it happened.
The treatment of HIV with AZT and other HAART drugs. AIDS is caused by "poppers" not HIV, duh!
Treatment of breast cancer and Myeloid Leukemia and with Herceptin and Imatinib. Fake cancers!
Vaccines for HPV and Corona viruses are useless, because horse de-wormers treat both! Also, they're not real because COVID and cervical cancer are harmless.
It's time to stop the insanity and realize that jade eggs in your bum are the real solution.
Other useless drugs funded by NIH: Depo-Provera, Taxol, L-DOPA, Propranolol, Tagamet, Embrel, Tamoxifen, Cyclosporin, Warfarin, Methotrexate, Hydrocortisone.