IBOV 206,220.24 ▲ 0.94% IPSA 11,024.22 ▲ 0.22% IPC MEX 64,986.91 ▲ 0.52% MERVAL 2,832,472 — 0.00% COLCAP 2,525.90 ▼ 0.36% BVL PERÚ 60,766.81 ▼ 1.71% USD/BRL5.02▼ 0.11% USD/MXN18.16▼ 0.18% USD/CLP977.35▼ 0.18% USD/COP3,220▼ 0.84% USD/PEN3.43▼ 0.55% USD/ARS1,516▼ 0.10% USD/UYU40.15▲ 2.79% USD/PYG5,722▲ 1.00% USD/BOB11.77▲ 1.01% USD/DOP61.06▲ 1.43% USD/CRC450.81▲ 1.73% USD/GTQ7.64▲ 3.38% USD/HNL26.86▲ 0.86% USD/NIO36.62▲ 0.31% USD/VES873.46▼ 0.02% USD/PAB1.00— 0.00% USD/BZD2.00— 0.00% USD/JMD 157.28 — 0.00% USD/TTD6.73▲ 2.58% EUR/BRL5.63▲ 0.21% BRENT 88.88 ▼ 0.03% WTI 83.11 ▼ 0.11% IRON ORE 161.91 — — COPPER 6.61 ▲ 0.03% GOLD 4,461 ▲ 1.78% SILVER 65.59 ▲ 1.26% SOY 1,184 ▲ 3.20% CORN 480.50 ▲ 10.02% WHEAT 655.00 ▲ 3.93% COFFEE 317.25 ▼ 5.51% SUGAR 16.43 ▼ 1.79% ORANGE JUICE 138.55 ▼ 0.47% COTTON 85.03 ▲ 2.33% COCOA 5,719 ▲ 3.18% BEEF 223.60 ▼ 3.93% CATTLE 339.10 ▼ 3.16% LITHIUM 75.20 ▲ 1.47% PETR4 41.64 ▼ 0.05% VALE3 72.97 ▲ 0.83% ITUB4 38.60 ▼ 1.03% BBDC4 16.85 ▲ 0.36% ABEV3 14.89 ▼ 0.80% BBAS3 19.37 ▲ 0.47% B3SA3 14.26 ▼ 0.21% WEGE3 47.59 ▲ 0.49% PRIO3 59.14 ▼ 0.19% SUZB3 41.33 ▲ 2.35% RENT3 34.68 ▼ 0.09% AZZA3 15.89 ▼ 2.63% CSAN3 3.22 ▼ 1.83% RAIZ4 0.25 — 0.00% PCAR3 2.75 ▼ 0.36% GMAT3 3.65 ▼ 1.08% PSSA3 48.13 ▼ 0.54% CVCB3 1.33 ▼ 2.92% POSI3 3.36 ▲ 2.44% SLCE3 13.34 ▲ 0.30% NATU3 8.14 ▼ 0.73% IBOV 206,220.24 ▲ 0.94% IPSA 11,024.22 ▲ 0.22% IPC MEX 64,986.91 ▲ 0.52% MERVAL 2,832,472 — 0.00% COLCAP 2,525.90 ▼ 0.36% BVL PERÚ 60,766.81 ▼ 1.71% USD/BRL 5.16 ▲ 0.01% USD/MXN 17.06 ▼ 0.24% USD/CLP 913.98 ▲ 0.04% USD/COP 3,140 ▲ 0.03% USD/PEN 3.36 ▼ 0.66% USD/ARS 1,493 ▲ 0.10% USD/UYU 40.27 ▲ 1.24% USD/PYG 5,939 ▲ 1.68% USD/BOB 11.64 ▼ 0.76% USD/DOP 58.34 ▲ 1.25% USD/CRC 445.92 ▲ 0.89% USD/GTQ 7.62 ▲ 2.21% USD/HNL 26.79 ▲ 1.57% USD/NIO 36.62 ▲ 0.69% USD/VES 762.44 ▼ 0.13% USD/PAB 1.00 — 0.00% USD/BZD 2.00 — 0.00% USD/JMD 157.28 — 0.00% USD/TTD 6.70 ▲ 0.61% EUR/BRL 5.95 ▲ 1.01% BRENT 88.88 ▼ 0.03% WTI 83.11 ▼ 0.11% IRON ORE 161.91 — — COPPER 6.61 ▲ 0.03% GOLD 4,461 ▲ 1.78% SILVER 65.59 ▲ 1.26% SOY 1,184 ▲ 3.20% CORN 480.50 ▲ 10.02% WHEAT 655.00 ▲ 3.93% COFFEE 317.25 ▼ 5.51% SUGAR 16.43 ▼ 1.79% ORANGE JUICE 138.55 ▼ 0.47% COTTON 85.03 ▲ 2.33% COCOA 5,719 ▲ 3.18% BEEF 223.60 ▼ 3.93% CATTLE 339.10 ▼ 3.16% LITHIUM 75.20 ▲ 1.47% PETR4 41.64 ▼ 0.05% VALE3 72.97 ▲ 0.83% ITUB4 38.60 ▼ 1.03% BBDC4 16.85 ▲ 0.36% ABEV3 14.89 ▼ 0.80% BBAS3 19.37 ▲ 0.47% B3SA3 14.26 ▼ 0.21% WEGE3 47.59 ▲ 0.49% PRIO3 59.14 ▼ 0.19% SUZB3 41.33 ▲ 2.35% RENT3 34.68 ▼ 0.09% AZZA3 15.89 ▼ 2.63% CSAN3 3.22 ▼ 1.83% RAIZ4 0.25 — 0.00% PCAR3 2.75 ▼ 0.36% GMAT3 3.65 ▼ 1.08% PSSA3 48.13 ▼ 0.54% CVCB3 1.33 ▼ 2.92% POSI3 3.36 ▲ 2.44% SLCE3 13.34 ▲ 0.30% NATU3 8.14 ▼ 0.73%
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Friday, October 9, 2026

Study in 169 countries suggests, Covid measures had no significant effect anywhere

By · May 30, 2022 · 2 min read

RIO DE JANEIRO, BRAZIL –  In a significant meta-study, two scientists from the Universities of Bern (Switzerland) and Oxford (UK) examined the effects of Corona measures in no fewer than 169 countries, and thus allegedly of 98 percent of the world’s population. The name of the study is The Effects of Non-pharmaceutical Interventions on Covid-19 Mortality: A Generalized Synthetic Control Approach Across 169 Countries.

Read also: Check out our coverage on curated alternative narratives

As a “highlight,” you can already read at the beginning of the study:

  • Applying the GSC method, we do not find substantial and consistent Covid-19-related fatality-reducing effects of any NPI under investigation.

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GSC here stands for a scientific methodology called “Generalized Synthetic Control,” as the very name of the study indicates. The mathematical and theoretical basis of this method is explained here.

Ten NPIs (non-pharmaceutical interventions) were studied:

  • School closures
  • Job closures
  • Public transportation closures
  • Lockdown (staying at home)
  • Movement restrictions
  • Restriction of international travel
  • Protection for senior citizens
  • Testing
  • Contact tracing
  • Masks

None of the measures studied contributed significantly (i.e., reliably) to reducing deaths.

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While no direct effect of measures such as mandatory masks and lockdowns is discernible, people are getting bogged down in theoretical assumptions of possibly prevented deaths.

This coincides with claims about vaccinations that would allegedly prevent a more severe course – without this being seriously and, above all, scientifically measurable.

The scientists’ state:

Results: We find no substantial and consistent Covid-19-related death-reducing effects of any of the NPIs studied. We see a preliminary trend reversal in Covid-19-related deaths approximately 30 days after the strict stay-at-home rules and to a lesser extent after the implementation of the facility closures. Our model can identify a death-reducing effect of COVID-19 vaccination as a proof of concept. In addition, our results are robust to several critical sensitivity tests.

CONCLUSION: Our results indicate that many implemented NPIs may not have exerted a significant Covid-19-related death-reducing effect. However, NPIs may have helped mitigate Covid-19-related deaths by preventing exponential growth in fatalities. In addition, vaccination was effective in reducing Covid-19-related deaths.

Download the study here.

This article was produced by The Rio Times’ automated newsroom system. How we use AI · Report an error · Editorial responsibility: Matthias Camenzind, Editor-in-Chief

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