mikert5671

Some of them do beat the market. They are also producing returns that are more robust to a downturn. So even if they dont match the S&P performance, in a downturn they dont lose as much as the S&P does. It's difficult to compare index funds to hedge funds, they have different purposes. When the market is always going up, it looks like a scam.

This kind of thing sounds great, any suggestions for area of businesses that you would look at starting? Part of the challenge is that the range of things that you could do is massive.

This completely misses the point of my argument.

Selection bias, if you're starting a company at age 43, you are risking your career and monetary stability. The type of person who can afford this is probably already part of an elite financially secure class. How misleading is this article? They are comparing apples to oranges, people starting companies in their 20s are not the same as people starting companies in their 40s. Take the set of people in their 20s who would be capable of starting a company in their 40s (meaning they have career success, a cushion of money, etc) and compare them to the entrepreneurs in their 40s, then you have a statistic. This is false otherwise.

is this by design or it just doesnt matter having bad code?

Good luck getting a good engineer

I would consider myself an amateur neuroscientist, in the sense that I frequently read blogs on the newest publications and findings, have a decent background in pharmacology literature.

Aside from FMRI scans, which give us a very broad picture of the brain, there is no way to really tell "whats going on". We have not developed that yet.

What neuroscientists currently know, aside from FMRI scans, is that certain behaviors are associated with certain genes. They can say, people who had gene X and went through life situation Y, were Z percent more likely to have a bad outcome. This is where the human behavior is deterministic idea (and "evidence") comes from. One specific expert on human behavior is Robert Sapolsky from stanford, who no doubt understands human behavior deeply. Almost all of his conclusions are driven from the method I exclaimed above. Everything is a statistical conclusion on how the average person behaves, which is a huge error in modern science

The problem with neuroscience is that they know nothing. For instance, it was considered true that neurons in the brain dont change and adapt, and then the concept of nueroplasticity came along, it was revolutionary. Twenty years later, a new study comes along and says that our brains are not as dynamic as we thought afterall. Human history is ripe with "experts" who were wrong, sometimes for centuries.

Quick question, do you do much machine learning in your current job on complex and large datasets? I find that the people who claim that machine learning is not math heavy are not solving the actual hard ML problems. Ofcourse it will be easy if your problem maps well to some framework, where jamming your data into a model produces useful outputs, but theres plenty of problems where you cant do that, and the second that happens, you need to understand the algorithms. Its similar to using some javascript framework, where you can plug in solutions great, until you need to do something outside the framework.

thats not the point, the point is that you cant assume that you really know what the function is doing, too often its doing something else thats really hard to figure out without looking closely. Good code will make it so that you dont have to look closely, you can read the variable and method names.

Were all in control of our own lives, we live according to ourselves. The buck stops with me on how I live my life

Yeah you really cannot find any good information about it without spending hours, google just surfaces terrible generic articles on equity. Real information is surprisingly hard to come by, some kind of SEO has pushed it elsewhere.

This is obvious, most personality traits are normally distributed and biologically driven

This is propaganda

This "new technology will create new jobs" is the biggest lie that economics ever told. The crises in the midwest in this country and the subsequent election of Donald Trump is a direct result of the displacement of American workers by technology and offshoring.