theurerjohn3

I'm not so confident in that first claim, and my anecdotal evidence doesn't support your theory.

However you did mention some other studies on this thread that support your claim this is a regressive tax, I'm worried I missed them, can you share the links?

is it? i dont see the relevant other studies, and my initial assumptions would be that the median subway user is lower income than the median car driver in NYC, so transfering funds from car drivers to subway improvements would be progressive.

However NYC's transit is notoriously bad at spending, so not sure it would achive that. Which studies linked in this thread are you refering to? I cant see them.

Im not sure this fits, they saw a much larger drop (18%) in heavy duty trucks entering the city, and a smaller drop (9%) in passenger cars. I am not sure the public transit options are close alternatives for heavy duty trucks.

I am a little confused, why would sloppiness in the media release (the article that uses the word tailpipe), have anything to do with sloppiness in the study, which the above comment clearly highlights is about PM2.5, not specifically tailpipe emissions?

Are Yale's media releases typically done by the people who do the study?

by my reading that is the authors point? if they are capable of getting a 700k loan, that makes them ↑5, regardless of their income or assets.

there is blog post somewhere i read, i cannot find it at the moment, that discusses the idea of "doctor problems" vs "musician problems". Doctor problems are problems where low quality solutions are deeply bad, so you should avoid them even if it involves producing fewer high quality solutions, while musician problems are ones where high quality solutions are very very worth it, so you should encourgage as many tries as possible so you get the super high quality wins. This seems a useful frame of reference, but not really the Ortega Hypothesis

it seems clear to me that the downside of society having a bad scientist is relatively low, so long as theres a gap between low quality science and politics [0], while the upside is huge.

0. https://en.wikipedia.org/wiki/Trofim_Lysenko

There is a vast gap in how academia treats adjunct vs tenure track professors, a difference the author of this blog has spent a decent amount of words explaining and complaining about.

> So did they buy these stocks from Intel itself?

in a sense, although buy is not quite the right word. there were grants promised to chip manufacturers under certian conditions. trump decided to wave those conditions just for intel in exchange for 10% of the company.

> Does that dilute the share other intel stock owners have?

no, the shares were already existing and owned by intel.

I mean, when the press secretary was asked why tesla wasnt invited, he said they invited the 3 largest employers of UAW. it sounds like a UAW event called 'Electric Vehicle Summit'?

What led you to belive it wasnt about the UAW? just the name of the event?

i think there may have been some confusion about the parent comment

you are both agreeing that where the fuels come from matters. If you want to burn fossil fuels in a manner to keep atmospheric carbon neutral using the approach specified in

> Why would growing corn for ethanol and burning it in an engine be any climate-friendlier than growing that same corn for food and burning an equivalent amount of gasoline in an engine?

then the correct approach would be

> Why would growing corn for ethanol and burning it in an engine be any climate-friendlier than growing that same corn for *burying in the ground* and burning an equivalent amount of gasoline in an engine?

unless i am misunderstanding these two comments? some clarity would be great!

its a cryptocurrency, the courts legitimacy would likely come from the community forking as necessary to resolve issues as identified by the court, in the same way the us judicial branch gets its legitimacy from the us executive branch employing force as necessary to resolve issues as identified by that court.

its a broader group to convince, sure, but there is a clear 'or else' from which the court can get that legitimacy. 'return the money or else we will return it for you' is a meaningful or else

no idea. However the above comment is easily verifiable. Here is a link saying that the return would be around February 2025 [1]. There seems no reason to believe either trump or Elon forced some sort of rush, or Biden and his administration ignored or caused some sort of slowdown. It looks like a schedule was planned and followed.

1. https://nitter.net/NASA/status/1827393397939634503

Apologies if you thought I meant this. I was using them as a reference for what people modeling the election from polls were predicting!

I don't know what Nate Silver was predicting. Was he predicting a near-split election or the situation where "someone is decently likely to win decisively, but we don't know who"?

I dont belive that claim is actually true?

the most likely result predicted by 538 was 312 for trump [0]

the issue with the model was the 2nd most likely result was 319 for harris.

they thought the odds of a recount being decisive was around 10%.

That hardly seems evidence of "predicting a split election". which prediction are you thinking of?

[0] https://projects.fivethirtyeight.com/2024-election-forecast/

Uh, we did push further north?

That's why China intervened?

I am not sure what exactly you are suggesting here, but its hard to believe that a nuclear war against china (and likely the USSR) in 1951 as MacArthur seemed to believe was necessary to recover North Korea would have been a net positive.

Just addressing the Galileo part, but as was recently linked in hackernews [1][2], Galileo was wrong (in the sense that he was arguing for an already discredited theory, and that the theory he was arguing against was also already discredited).

Using Galileo as the standard of the suppression of free thought is sorta painting the Church as overzealously standing up for good science, not highlighting the Church as an enemy of truth.

1. http://tofspot.blogspot.com/2013/10/9-great-ptolemaic-smackd... 2. https://thonyc.wordpress.com/2010/11/12/galileo%E2%80%99s-gr...

oh the talk page comment is old enough that I assume its mostly been fixed, although the Urubamba-Caura length discrepancy noted by someone else on the talk page is still there. I was commenting more at the fascination of 'Intergalactic Power and Light' maintaining for a while a webpage focused on river lengths. It feels like a callback to an earlier era

I feel its worth asking questions about the talk page. Specifically:

> Most of the data in this article is sourced from somebody calling himself Intergalactic Power and Light. Some random guy's personal web page does not constitute a reliable source. Dricherby (talk) 18:24, 2 September 2009 (UTC)

The link is unfortunately broken, but if anyone has more details that would be fascinating.

Things like this make me want to read Against Method [1]. Like, yeah that seems 'not science' in one serious sense, but also not really? It falls into what I understand of Kuhn's 'normal science'. Slightly adjusting their theories to explain existing data is exactly what you should expect scientists to do, until the gaps get so big no adjustments are sufficiently concise.

For a defense of the 'unicorns in unexplored forests', that was pretty much the approach that led to the discovery of most of the standard model.

Plus, given dark matter and dark energy, we know something must be out there, even if its not unicorns, there's something.

1. https://en.wikipedia.org/wiki/Against_Method

the important thing is that it was:

> after the database was publicized

It seems they couldn't confirm if burglaries were prevented or merely moved the burglaries to low gun zipcodes, but they felt they had weak evidence for a drop in burglaries in total

Am I reading the article wrong, or did the main character of this story, quit his job as a former labor secretary, because when his department was accidentally too generous with benefits, he received death threats?

I am not sure thats exactly what the article was saying, picture 3.B [1] seems to show that the placebos themselves are getting stronger over time, both in an absolute sense, and relative to the drugs.

Approving less effective medications could definitely explain the improvement placebos relative to drugs, but not the improvement of placebos relative to placebos.

I wonder, and as I am kinda young, I am not sure, but since 1990, has the experience of the "Doctors Office" become more standardized? As in, are placebos looking less* like placebos?

[1]. https://cdn.substack.com/image/fetch/f_auto,q_auto:good,fl_p...

* accidentally wrote more

Location: Los Angeles CA

Remote: Yes

Willing to relocate: Yes

Technologies: Python (pyTorch, Tensorflow, pandas, numpy, scipy), relational databases (mySQL), Lisp, Scala, C++ (including the particle physics data science package ROOT)

Resume: https://github.com/theurerjohn3/Resume/blob/master/Experienc...

Email: Theurerjohn3@ucla.edu

I am a recently graduated physics major from UCLA who has taken extensive classes in machine learning and computer science. I am looking to get something on my resume during the economic downturn.

Location: Los Angeles CA

Remote: Yes

Willing to relocate: Yes

Technologies: Python (pyTorch, Tensorflow, pandas, numpy, scipy), relational databases (mySQL), Lisp, Scala, C++ (including the particle physics data science package ROOT)

Resume: https://github.com/theurerjohn3/Resume/blob/master/JohnTheur...

Email: Theurerjohn3@ucla.edu

I am a graduating physics major from UCLA who has taken extensive classes in machine learning and computer science. I am looking to get something on my resume during the economic downturn.

Location: Los Angeles CA Remote: Yes Willing to relocate: Yes Technologies: Python (pyTorch, Tensorflow, pandas, numpy, scipy), relational databases (mySQL), Lisp, Scala, C++ (including the particle physics data science package ROOT) Resume: https://github.com/theurerjohn3/Resume/blob/master/JohnTheur... Email: Theurerjohn3@ucla.edu