****Public Cervix Announcement****
Before they lied to everyone about the Covid-19 vaccine….They lied to young girls and women about the HPV vaccine / Gardasil….🧵
Copy and paste 👇🏿in https://t.co/JUo8kWuARd
ext:pdf (“doctor” OR “provider”) (“incentive” OR “bonus”) (“vaccine” OR “vaccination”) site:ca
Or click links
Canada
https://t.co/AEhqSDu7yi
UK - site:uk
https://t.co/aCFNGcuJkW
Australia - site:au
https://t.co/6MwPPx7zik
🧵 HPV vaccine / Gardasil
Anyone that uses the words “Elimination” or “Eliminate” in regards to cervical cancer and claiming the reason is the HPV vaccine….Is completely full of shit.
“Elimination” is a lie they’re selling you.
🧵 This Our World in Data page is propaganda dressed up as science. It cherry-picks modeling, post-vaccine cohorts, and selective examples to make the HPV vaccine / Gardasil look like it will “eliminate” cervical cancer.
It won’t
🧵 This is a short promotional data story with one chart and no limitations about the HPV vaccine / Gardasil 😂
This is soft propaganda and it’s terrible
🧵 This “Progress Report” from Australia is another sad and pathetic attempt to make the HPV vaccine / Gardasil “appear” to be working.
Another failed attempt with more holes in it than an arm that has completed the vaccine schedule.
🧵 HPV vaccine / Gardasil
Anyone that uses the words “Elimination” or “Eliminate” in regards to cervical cancer and claiming the reason is the HPV vaccine….Is completely full of shit.
“Elimination” is a lie they’re selling you.
🧵 This is a short-term, pharma-linked, observational study-data analysis that admits residual confounding, healthy-vaccinee bias, misclassification, and limited follow-up — yet still spins weak associations into “substantial benefits” and policy recommendations.
****Public Cervix Announcement****
Before they lied to everyone about the Covid-19 vaccine….They lied to young girls and women about the HPV vaccine / Gardasil….🧵
🧵 This is a short-term, pharma-linked, observational study-data analysis that admits residual confounding, healthy-vaccinee bias, misclassification, and limited follow-up — yet still spins weak associations into “substantial benefits” and policy recommendations.
This is the same playbook as most “vaccine benefit” papers. Observational data, buried caveats and limitations, short windows, and all hype in the conclusion.
🧵 This is a short-term, pharma-linked, observational study-data analysis that admits residual confounding, healthy-vaccinee bias, misclassification, and limited follow-up — yet still spins weak associations into “substantial benefits” and policy recommendations.
14. No discussion of transmission or herd effects:
The model/study ignores any impact on transmission, which they admit would underestimate benefits - but this also means they avoid the harder question of whether vaccination actually reduces spread.