We Tried To Find 10 BuzzFeed Employees Just Like Cops Did For The Golden State Killer
By Peter Aldhous,
Buzzfeed
| 04. 09. 2019
A year ago, when cops captured Joseph James DeAngelo, the suspected Golden State Killer, the world woke up to the power of genetic genealogy. DeAngelo was identified because DNA he left at the scene of a 1980 double murder partially matched the profiles that a few of his distant relatives had uploaded to a public website to research their family history. Based on those matches, a team of detectives drew up family trees that eventually led them to DeAngelo, suspected of at least 13 murders and more than 50 rapes.
In the year since, more than 50 other criminal cases have been cracked using similar methods, launching a new forensic science industry. One estimate has suggested that more than half of the US population could be found in this way — although genealogists have warned that, in practice, complications like adoptions or misunderstandings over who is the biological father of a child can throw an investigator off track.
How hard is it to crack cases in this way? And what issues does it raise, as police recruit...
Related Articles
By Sarah Kliff and Azeen Ghorayshi, The New York Times | 07.15.2024
By Elizabeth Chuck, NBC News | 07.09.2024
A Netflix docuseries has put a spotlight on the unregulated world of sperm donation, particularly the lack of stopgap measures that might prevent donors who have been banned by one country from simply going elsewhere to donate more.
Released earlier...
By Beth Duff-Brown, Stanford Institute for Economic Policy Research | 07.12.2024
The debate over in vitro fertilization (IVF) has become a hot-button policy and political issue, despite the medical procedure to help people become pregnant having been mainstream in the United States for nearly half a century.
The Alabama Supreme Court ...
By Peter Aldhous, Scientific American | 07.02.2024
In June a notice posted on the website of the journal Nature set a new scientific record. It withdrew what is now the most highly cited research paper ever to be retracted.
The study, published in 2002 by Catherine Verfaillie...