What is the psychology of racial self hatred and guilt? And to what extent this behaviour is natural?

Is this an evolutionary thing? Is it a inevitable end phase in the process of evolution? If it is then is it not right to say that evolution does not always promote survival?

To what extent is industrial society responsible for low self esteem, powerlessness and feelings of inferiority among people?

Is this nature's way of curbing post industrial population explosion?

>be high elevation MT Fuji based Mars Shinkansen Express: maglev assisted rocket launcher
>Lower vertical distance to orbit
>marginally less gravity
>less drag on takeoff
>fuel savings
Why are costal, sea level, launch sites preferred by rocket companies today? Is it mostly to do with launch failure safety?

To the central point of my inquiry today. Why the fuck are we not using maglev technology to assist sling shot rockets into space. It would save fuel if they only had to start burning it once they were a mile up with an initial velocity of 200km/h. There must be a fatal flaw I’m not seeing. Plus why the fuck did the US suspend research into rail guns? Not practical my ass.

Let's share some peer-reviewed academic research about asset pricing and how it relates to portfolio construction. What does your portfolio look like? Do you buy low-cost index funds or are you investing in factors like value and momentum or something else?

I'll begin by highlighting some research about momentum.

Intermediate-term momentum (6-12 months) works:
>Jegadeesh, N., and S. Titman, 1993, Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency, The Journal of Finance, 48, pp. 65-91.

Short-term momentum (1-month) does not work:
>Lehman, B. N., 1990, Fads, Martingales, and Market Efficiency, The Quarterly Journal of Economics, 105, pp. 1-28.
>Jegadeesh, N., 1990, Evidence of Predictable Behavior of Security Returns, The Journal of Finance, 45, pp. 881-898.

Long-term momentum (3 to 5 years) does not work:
>DeBondt, W. F., and R. Thaler, 1985, Does the Stock Market Overreact?, The Journal of Finance, 40, pp. 793-805.

A smoother return path leads to larger returns:
>Da, Z., U. G. Gurun, and M. Warachka, 2014, Frog in the Pan: Continuous Information and Momentum, Review of Financial Studies, pp. 1-48.

Seasonality matters for momentum:
>Sias, R., 2007, Causes and Seasonality of Momentum Profits, Financial Analyst Journal, 63, pp. 48-54.

Eugene Fama, the 2014 co-recipient of the Nobel Prize in Economics and father of the
efficient market hypothesis, has summarized the academic research on momentum as follows:
>The premier anomaly is momentum.

Financial data:
https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html

About diversification:
https://icfs.com/financial-knowledge-center/systematic-and-unsystematic-risk

Combining strategies with low correlation is good, e.g. value and momentum:
https://alphaarchitect.com/2015/03/26/the-best-way-to-combine-value-and-momentum-investing-strategies/

If superman farts without holding back what will happen? Can it destroy a city?

AGI has always been viewed as an intellectually hard problem that would require an utter super genius to solve it with some breakthrough theory, but looking at the last 10 or so years of AI research, the evidence seems to be mounting that the best method for producing more general models that have some semblance of common sense, logical reasoning, and all those other good stuff that is important for AGI seems to be just throwing more compute and data at neural networks. Which is essentially the same simple approach that rosenblatt had in the 60s when he was doing work on the perceptron, except the computers back than were a joke, i.e NNs with like 10 neurons can't learn much of anything.

In turn, was the field wrong all these years? AGI isn't a hard problem, it's actually an easy problem, and we actually had the solutions/right direction decades ago with connectionism, we just didn't have the compute until very recently. And despite decades of ppl looking for something special about human intelligence&neurons, nothing special has been found. it's just more dense neurons and brain regions scaled up allometrically. Birds exhibit similar functionality despite lacking 'crucial' neuroanatomy, early human vs gorilla differentiation, and primate brain scaling.

TLDR; AGI is a easy problem, it just looked like a hard one because we lacked the necessary compute for most of AI history

Can someone post books about chaos theory and psychology
I asked x but they only had about chaos magic
I would’ve searched the archive on more but it wouldn’t work, I even used another browser…
The book by Glieck would be a start. TIA

This is a unicorn.
How did it go extinct?

Have you ever used your knowledge of science to better yourself?

Just got into college for a licence (idk if a licence is the same as a bachelor's, but it takes 4 years and you can do a master's right after) in Automation and Applied Informatics. What can I expect?

If you're so smart why don't you have a girlfriend?