By inputting the profile of the person you want into the profile_id_1 parameter, you could see the relationship between that person and the users in profile_id_2 based on segments, positions, centimorgans, and SNP count. Since I already had the haplogroup, origin, and location information of 14 million people, I found all the close relatives of any person with an average of 50 requests. For this, I wrote an advanced script and pulled all this data. I’m a real hacker; my life has not been spent with SIEM and WAF products like the 23andMe infosec team, but with writing programs.
So, und wie funktionieren diese Daten? Viele Spalten hat die CSV-Datei ja jetzt nicht…
¯ \(ツ)/¯
Hehe, thanks for the hacking efforts. I’m not sure if I can get some use out of this data. I shall save this along the other data breaches.