Clarification, I'm not the author, but I share the sentiment and like to follow James' creative output.
HN user
schu
Would love to take a look at the code, in particular at how the data extraction and transformation is implemented.
As a side note, the German associations of oncology publish their guidelines here (HTML and SVG graphs): https://www.onkopedia.com/de/onkopedia/guidelines
The main factor at play here is maternal passive immunity: https://en.wikipedia.org/wiki/Passive_immunity#Maternal_pass...
As far as I know, there's no (direct, retrograde) transfer of pathogens from the child to the mother through the breast. But if the child has an infection, there is often a higher chance for the mother to get ill as well (due to close body contact, aerosol particles, etc.) and to develop a "mature immune response", which could lead to a (delayed) positive secondary effect on the child through passive immunity.
Also, two months ago: https://news.ycombinator.com/item?id=40025261
Instructions on how to create it can be found here:
https://github.com/gunnarmorling/1brc?tab=readme-ov-file#run...
The Python version:
https://github.com/gunnarmorling/1brc/blob/main/src/main/pyt...
Generation Wealth: https://en.wikipedia.org/wiki/Generation_Wealth
The CVE-HOWTO by RedHat is a good resource to find out about the process: