reinkaos

Ok so of all crackpots who have medical related hallucinations, one got it right. This is hardly newsworthy.

What you saw might have been ball lightning.

A friend and I saw one when we were kids. I only came to find out what it was many years later. From the distance it looked no different than an airplane light until it got really close, around 30ft from us. It looked like a ball of white light, a bit larger than a basketball. There was no clear contour, like when you look at a very bright lamp. It made no noise whatsoever. We lost it from sight for a moment and it was gone.

I'm not totally sure but I think the sky was clear that night.

I also don't want certain things in my browser autocomplete history so every time I have a question I think is dumb I open an incognito window.

Heavy on allegations, very light on proof, as usual.

No better time for countries that antagonize China to go on the offensive given all the anti-Chinese sentiment due to Coronavirus, Uyghur internment allegations and US sanctions.

I don't think "black-box" algorithms are the problem per se. In this case the system was doomed from the get-go by using biased and flawed input attributes.

What I find very problematic in the use of automated systems for fraud detection is taking the system decision as final and not offering an easy and clear way of appealing decisions.

Why can't those people with dark traits be open and honest in a setting where they are anonymous? Unless you are arguing they are so good at covering their tracks that they end up convincing themselves their moral compass is right.

Not an expert but I don't think this is a great paper for a few reasons:

- there's quite a lot of variation in carbohydrate intake in LCD and fat intake in LFD group (even though there are statistically significant differences between the groups).

- they did not control for protein.

- they could have made things a lot simpler by stating macros for each diet in grams instead of in terms of ancient Chinese measurement units. Simply replacing almonds for part of the "staple food" (admittedly high carb) was also strange, although understandable to improve compliance.

- we know simply losing weight improves metabolic markers. People in the LCD lost weight. It is hard not to ascribe the improvements to that. That could say something about the potential of LCD for weight loss given the difference in calories between groups wasn't statistically significant.

> There are compounds in almonds that bind to testosterone

Source?

Yeah they are both rooted in the music brought by the African diaspora. You will find this all throughout Central and Latin America, although with some variations in rhythms and instruments used.

Brazilian Candomblé ritual music may have the same effect. For those who want to try: https://www.youtube.com/watch?v=J0ZBZI5pSOg

There's also a company called Rainforest Connection using machine learning to detect deforestation: https://blog.google/technology/ai/fight-against-illegal-defo...

You are probably not exercising property. You either have poor execution, use too much weight, use exercises that don't agree if your body mechanics or a combination of the three.

Feeling sore in the muscles is normal, feeling joint pain is not.

It's true you need more rest/sleep but I found you can work around it if you don't care too about putting on muscle and thus work out less frequently and with less intensity, just for the health benefits.

+1 to choosing a routine you can stick to.

Routines like 5x5 can be ok for some but I'm not sure it is a good idea to put most beginners in low rep range workouts before they can learn the movements. Probably best to work on the 8-12 rep range and machines in the beginning.

I'm a fan of two weekly full-body workouts in a mix of machines and free weights, or 2-way splits (upper/lower, push/pull) 3 times a week. I've seen far too many times beginners being put on a 3-way split with workouts that take 1 hour or more just too quit the gym the next month.

Seek help to build a simple routine (bodyweight exercises work too) that works the whole body and doesn't too much time and then build up from there.

What you said is probably 80% of the way. I would also be interested in more research about individual responses to food. There's some evidence blood glucose levels vary considerably between individuals consuming the same food: https://www.cell.com/fulltext/S0092-8674(15)01481-6. That would help me choose my staples (what's best for me, brow rice or yam?) and how much junk to include (what if I don't have that much of a blood sugar spike after eating ice cream?).

Also this additional stress could elicit some kind of supercompensation by the body via hormesis.

I haven't delved into any specific papers about caffeine but I would assume they would control for at least some of those factors you mentioned.

> For local communities, selling timber and clearing land for cultivation is an income stream of last resort.

There's also another problem that affects places like Brazil: deforestation for cattle ranching.

I think it's much more likely Wei Dai is Satoshi.

Just your periodic reminder that a vegan diet is deficient and not sustainable.

Doesn't sending the exception as tags increase metrics cardinality slowing down other queries?

What I read between the lines here is that the company hired someone with no experience and gave them more responsibility than they should have at the beginning of their careers.

It is already happening in the US.

Thanks for sharing your story. At some point I might embark on a similar journey but with Elixir.

Side projects are always an option, I guess.

One way of looking at it is your_impact = your_contribution * number_of_users. If you work for a mega corp chances are your contribution is small so you would be better off in a small(er) company.

The more I work as a programmer the more I agree with points 1 and 2. With Coronavirus I'm having the change to work remote 100% of the time and I'm enjoying so far. It's likely that's something I'm going to pursue in the future.

How do you reconcile this with your day job? Or did you go on to work with Clojure full-time?

I would suppose this is a very common struggle among IT professionals. A few things that have helped me, some of them already mentioned in this thread:

- simply don't do it; prioritize more important ideas.

- start smaller - some ideas are just too ambitious, try to come up with the smallest end product that is still useful.

- don't talk about it - just by talking about what you are planning to build gets you a small dopamine release, discouraging you from finishing the project.

- scratch your own itch - create something that will help solving a problem you face frequently.

- get other people involved - invite other people to collaborate building or just using it so you have people to hold you accountable.

Thanks for the detailed reply. I agree with your comments regarding data quality, I assumed you had an issue with the methodology. I just took this paper to be a heuristic that could help inform decisions with the limited data we have so far, and not as a definitive answer.

Are you an epidemiologist? If so, can you be more specific about the problems and propose alternatives? Thanks.

Can someone recommend a masters in CS, statistics or applied mathematics with thesis option or at least a capstone? I haven't been able to find one.

Ideally with focus on ML.