redlizard | 2 years ago | on: Ask HN: Example of your favorite CSV Schema Documentation?
redlizard's comments
redlizard | 5 years ago | on: Vitamin D, part 2: Shannon's story
Are these studies just showing that vitamin D is a good predictor of income (because race is a good predictor of income)? Now that the US is starting to have conversations about racial inequality, every time I see a hackernews or reddit post on vitamin D I am asking myself that question. I have read several studies that link low income to higher mortality rates across several different diseases. [0]
And several other studies that link education levels (which are inherently linked to childhood wealth levels) to worse mortality rates as well.[1]
There is a link between lower vitamin d levels and skin color, with an obvious plausible explanation ( Melanin lowers skins ability to produce vitamin D).[2]
In the U.S. at least there is a strong link between income, education levels, and skin color. [3]
While I am hopeful that ongoing research will help us understand the mechanisms by which vitamin-D operates, I really worry that it is somehow a very well dressed red-herring. One one hand a promised panacea: vitamin d supplements, the other a complex economic and political problem that barely anyone can comprehend or are even willing to engage with.
One of the more damning studies shows that vitamin d supplementation is good enough to remove your deficiency, it has reproduced really poorly on any of the other correlated health effects.[4]
Are there any studies that someone can link that would alleviate my concerns? When these kind of population health studies are conducted (I am in no way familiar with how they are actually done), how are factors like income inequality and education level generally controlled for?
And an interesting article related to Vitamin-D health benefits that had a slightly different take on causes for supposed benefits: https://www.outsideonline.com/2380751/sunscreen-sun-exposure...
[0] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866586/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4435622/
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946242/
[3] https://journals.plos.org/plosone/article?id=10.1371/journal...
redlizard | 5 years ago | on: Vitamin D, part 1: back to basics
I have read several studies that link low income to higher mortality rates across several different diseases. [0]
And several other studies that link education levels (which are inherently linked to childhood wealth levels) to worse mortality rates as well.[1]
There is a link between lower vitamin d levels and skin color, with an obvious plausible explanation ( Melanin lowers skins ability to produce vitamin D).[2]
In the U.S. at least there is a strong link between income, education levels, and skin color. [3]
While I am hopeful that ongoing research will help us understand the mechanisms by which vitamin-D operates, I really worry that it is somehow a very well dressed red-herring. One one hand a promised panacea: vitamin d supplements, the other a complex economic and political problem that barely anyone can comprehend or are even willing to engage with.
One of the more damning studies shows that vitamin d supplementation is good enough to remove your deficiency, it has reproduced really poorly on any of the other correlated health effects.[4]
Are there any studies that someone can link that would alleviate my concerns? When these kind of population health studies are conducted (I am in no way familiar with how they are actually done), how are factors like income inequality and education level generally controlled for?
And an interesting article that may or may not be valid that kind of got me on the road of becoming a vitamin D skeptic: https://www.outsideonline.com/2380751/sunscreen-sun-exposure...
[0] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866586/ [1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4435622/ [2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946242/ [3] https://journals.plos.org/plosone/article?id=10.1371/journal... [4] https://www.nejm.org/doi/full/10.1056/NEJMoa1809944
redlizard | 6 years ago | on: Neil Armstrong’s Death, and a Stormy, Secret $6M Settlement
https://www.nytimes.com/2019/07/25/health/neil-armstrong-hea...
If someone was 82, and a quality-of-life surgery is elected to be performed, it is always the patient and the doctors making that decision. Surgeries can go wrong, they carry risk, heart surgery more so, heart surgery with an 82 year old even more so. Should we be holding the health care system accountable? Even when the risks are known? Do we all of a sudden have the expectation that every open heart surgery will be successful and no one will die? Hospitals shouldn't be rewarded for failures, but placing full blame on an organization with an impossible mandate seems a little bit unfair.
redlizard | 12 years ago | on: Being Ridden by the Witch: Sleep Paralysis Is the Greatest Nightmare
Not in love. Doesn't really handle nested arrays/ objects. Also doesn't generate human readable documentation.
Worried I may have to roll my own :(, but this feels like it is a solved problem.
Breaking it down into 3 sections:
1. Schema Definition 2. Documentation (Autogenerated from schema) 3. Deserialization that applies type constraints and validation
I'd be happy with the first 2 and to take care of deserialization myself. Something with all three rolled into one would be lovely.
The major requirement i haven't been able to find support for are nested objects or arrays in a csv.
Example header: firstname, lastname, contact_0, contact_1, contact_2, address.address_1.1, address.address_2.1, address.zip.1, address.state.1, address.address_1.2, address.address_2.2, address.zip.2, address.state.2,