{"id":3779,"date":"2021-03-30T23:46:04","date_gmt":"2021-03-30T23:46:04","guid":{"rendered":"https:\/\/darachi.com\/?p=3779"},"modified":"2022-08-13T15:26:37","modified_gmt":"2022-08-13T15:26:37","slug":"should-everyone-get-vaccinated","status":"publish","type":"post","link":"https:\/\/darachi.com\/should-everyone-get-vaccinated","title":{"rendered":"Should Everyone Get Vaccinated? \u2014 Yeadon, Wittkowski & Bridle Comment. Twitter Censors Kulldorff."},"content":{"rendered":"

\"Jack<\/a><\/p>\n

Watch \u27a5\u00a0 Odysee<\/a>\u00a0 |\u00a0 Rumble<\/a>\u00a0 |\u00a0 Brighteon<\/a>\u00a0 |\u00a0 Minds<\/a>\u00a0 |\u00a0 YouTube<\/a>\u00a0 |\u00a0 Archive<\/a><\/p>\n

The above video, ‘Twitter censoring Harvard Medical school Professor Martin Kulldorf’ is trending today. I took a look to see what had been censored and it was the following simple Q & A exchange.<\/p>\n

\"Martin<\/p>\n

Since the start of the pandemic<\/a> big tech has been aggressively censoring medical information, with a complete bias for Non-Pharmacological Interventions (masks, social distancing, lockdowns) also dubbed Non-Scientific Interventions<\/a>. Draconian interventions exported\u00a0from China<\/a> last year that are not evidence-based and from which big tech derives benefit. Big tech censorship of therapeutics<\/a> is costing lives<\/a>.<\/p>\n

As we’ve come to expect when big tech censors, it does not cite anyone. Nor does it offer any form of transparency into the decision making process. For anyone who has looked into it, it’s an American political censorship<\/a> by proxy game. A grave danger not just to America, but to the world.<\/p>\n

The other day Martin threw down the gauntlet.<\/p>\n

\"Martin<\/p>\n

It caught my attention in particular because I’ve been absolutely perplexed by mainstream media endlessly advocating\u00a0 to vaccinate everybody. It made absolutely no sense.<\/span><\/p>\n

I even caught Fauci recently on television talking about a road map to vaccinate babies<\/a>! I was literally stunned.<\/p>\n

Fauci had claimed that the Infection Fatality Rate (IFR) of influenza is ~0.1%.<\/span> And the other day also, John P. A. Ioannidis, C.F. Rehnborg Chair in Disease Prevention, Professor of Medicine, of Epidemiology and Population Health, and (by courtesy) of Biomedical Data Science, and of Statistics; co-Director, Meta-Research Innovation Center at Stanford (METRICS), published peer-reviewed<\/a> \u2018Reconciling estimates of global spread and infection fatality rates of COVID-19: an overview of systematic evaluations, that stated \u201c\u2026 the available evidence suggests average global IFR of ~0.15%<\/strong><\/span> and ~1.5-2.0 billion infections by February 2021 with substantial differences in IFR and in infection spread across continents, countries, and locations”. <\/em>In other words it’s flu-like risk for the great majority of people.<\/span><\/p>\n

Or put it another way, if you are worrying about it, stop, and if you must worry about something that could threaten your life, worry about forgetting to look bothways before crossing the street.<\/p>\n

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