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alakin

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It's pretty interesting to think about happens from an economic perspective. Say I buy a house on loan (money withdrawn from capital markets). I hand cash to the previous owner and they use it to pay back their loan (return money back to the capital markets, keep the difference).

Consider the synchronous chain. Me: Myprofit=future_profit-cost1 Prev owner: profit=cost1-cost2 Prev owner 2: profit=cost2-cost3 And so on...

Also consider a parallel behavior where I can simultaneously buy and sell multiple properties though debt.

It would be fun to model this whole chain and understand what this recursively unfolding process actually does with capital. Is it a capital sync? What behavior does it incentivize? Does it guarantee expansion/recession cycles?

Your advice is somewhat dangerous if people follow it expecting them to magically work. First, the NASA study is for VOCs, not pm2.5. Second, when I briefly looked into using plants to clear VOCs indoors, I found that the number of plants, lights, and air-circulation required is completely impractical. Plants are awesome, I love them, but they're not enough. I wish it wasn't so.

My use case is pretty much parallel time series alignment with several layers of aggregation. I guess I perceive stream-stream joins as an easy way for me to wrap my head around how to structure my compute graph, but it seems doable with the method mentioned by @grammr. I'd hope for an interface roughly like "CREATE join_stream from (SELECT slow_str.key AS key, sum(slow_str.val, fast_str.val) AS val FROM slow_str, fast_str INNER JOIN ON slow_str.key = fast_str.key)". I do realize there are some tough design decisions for a system like this, but I'd also like to drop my wacky zmq infrastructure ;)

Great, let's evaluate the deaths caused by regular cars. Lets evaluate risks posed by burning fossil fuels. Let's evaluate pretty much every single little detail about other auto brands and present our findings in a fashion where we can compare and rank best to worst. Having just done this I'm completely satisfied with Tesla's approach in comparison to what other brands have been doing.

They used to have it visible, but it's been moved to an archived report. You can still find out from the raw data report here though: https://www.23andme.com/you/explorer/gene/?gene_name=APOE

If you are CC genotype for marker rs7412 AND marker rs429358 your status is APOE4.

Note that there are several other markers/genotypes that can reduce risk, but research appears to point to APOE4 status having the most impact. Also be aware that genetic reports could always have errors due to chance, operational errors, or problems with original research.

I get that you have strong feelings. But this is just uninformed. If you took a sec to understand Musk's comp structure you'd see that its paper wealth, as in he doesn't take cash out of the company. Instead he puts cash in the company. Also he only sold stock to pay taxes. I'd guess its likely he paid more in taxes than you, if you're an average earner.

This is key.

Apoe status appears to control the absorption rates of LDL cholesterol (tiny balls of fat).

Individuals with apoe4, appear to have really low LDL cholesterol absorption rates between cells, and high blood-LDL cholesterol concentrations.

Having done a bit of research on optimal dieting, its pretty inconclusive.

This study shows negative consequences resulting from high fat diets for apoe4: https://www.ncbi.nlm.nih.gov/pubmed/27656136