Dying in Sleep: Young People Are Still Dying Suddenly in Their Sleep
Sat 1:08 pm +01:00, 19 Aug 2023I analyze 30 deaths while sleeping, in past 3 months – first ever analysis of such sudden deaths!

All Global Research articles can be read in 51 languages by activating the Translate Website button below the author’s name.
To receive Global Research’s Daily Newsletter (selected articles), click here.
Click the share button above to email/forward this article to your friends and colleagues. Follow us on Instagram and Twitter and subscribe to our Telegram Channel. Feel free to repost and share widely Global Research articles.
***
She was found dead by her 4 yo daughter: “Daddy, I can’t wake mummy up”.
She had gone paddle boarding the night before her death (hours before).
Working as a teacher and principal in the UK, she would have been mandated COVID-19 vaccines.
Aug. 11, 2023 – Plano, TX – 40 year old David Herring, teacher and band director at Shepton High School died in his sleep on Aug. 11.
Aug. 10, 2023 – Darlington, UK – 41 yo Mike Clinton (driving instructor), died in his sleep, 3 months after his 50 yo wife died suddenly, leaving two boys ages 12 and 14, orphans. (Click here)
Aug. 7, 2023 – Osnago, Italy – 29 year old waiter and B&B worker Christian Marchi died in his sleep on Aug. 7 in a room of the B&B he worked in.
My Take…
I cannot begin to explain how many people are dying in their sleep right now.
(Substack won’t allow me to send 30 images by email (limit is 13), so please come back to the substack website or app as I will re-load all 30 images here.)
In this article I examine 30 deaths while asleep. While this analysis is not “scientific”, some interesting numbers and patterns emerge:
- Men 20 : Women 10
- ages: <10 (1), 10-19 (3), 20-29 (10), 30-39 (7), 40-49 (7), 50-59 (1), 60-69 (1)
- the deadliest age range for dying in sleep suddenly is 20-29 (10 deaths out of 30)
- 7 Teachers
- 4 Athletes (competitive)
- 4 University/College students (2 nursing)
- 2 doctors
- 2 police officers
- 2 hotel workers
Limitations of analysis: Sample size is still quite small. I did not include kids under age 5 (most are not COVID-19 vaccinated and childhood vaccinations and SIDS complicate the picture), ages 50+ are less likely to garner attention online and are thus under-reported, everyone’s job or profession wasn’t known.





