Topic: Medical Errors

A medical professional explains that death rates often increase in the month of July due to new medical school graduates entering residency programs. The professional acknowledges that an increase in medical errors is "well known" in the field during this transition. The hosts find the casual admission of increased deaths due to student errors to be "phenomenal" and "incredible."

A report claims 15,000 Americans die daily from medical misdiagnosis and hospital accidents. In food news, an Australian company created a "woolly mammoth meatball" using Arctic DNA and lamb meat to promote meat alternatives. Additionally, Twitter's source code was recently leaked online, though the hosts suggest the breach has had little practical impact.

A news item from Oakland, California, reports that hundreds of people at the Oakland Coliseum received incorrect vaccine dosages (2.2 milliliters instead of 3 milliliters). Health officials reportedly told the affected individuals that the lower dose was still acceptable, leading to criticism of the "scientific" consistency of the rollout.

A medical professional noted that death rates in hospitals typically increase in July due to the influx of new medical school graduates entering residency programs. This "July Effect" is characterized by an increase in medical errors as inexperienced staff take on clinical responsibilities. The observation suggests that some current mortality statistics may be influenced by this annual trend rather than the virus alone.

Following a lawsuit against HHS, documents revealed that the MMR vaccine was tested on only 800 children for a period of 42 days. In a separate medical discussion, the hosts share a story of a woman who underwent a double mastectomy based on a false positive DNA test for the BRCA gene. They warn of the dangers of relying on single-source genetic testing for major medical decisions.

Internal documents reveal that IBM's Watson for Oncology often provided "unsafe and incorrect" treatment recommendations. Despite marketing claims that the AI was trained on real patient data, it was actually programmed using hypothetical scenarios created by doctors at Memorial Sloan Kettering. In one instance, the system recommended a drug that could cause fatal hemorrhaging in a bleeding patient, leading to accusations that IBM is experimenting with human health in real-time.