The Global Equation
A dynamic risk/benefit modeling tool. Compare official estimates of lives saved against potential vaccine injuries under different reporting scenarios.
The Reality Check
If we ignore the absurd 4-5 million "lives saved" figure claimed by the WHO, the picture changes drastically.
When we replace the inflated WHO marketing numbers with historical mortality realities (approx. 250k potential lives at risk globally), and compare it against the Lazarus-adjusted injury rate, the result is catastrophic.
"For every 1 person theoretically saved, 120 people suffer a serious, life-altering injury."
Lives Saved (The "Steel Man" Assumption): The WHO claims vaccines save 4-5 million lives annually. We include this figure here only to demonstrate that even if we grant this comically inflated, self-serving estimate—which exceeds the total historical mortality potential of these diseases—the equation still results in a net negative for humanity when proper injury reporting is applied.
Adverse Events: Based on global pharmacovigilance data (VigiBase) which holds over 40 million reports historically. We estimate ~2 million vaccine-related reports annually as a baseline.
The "Lazarus Effect": A 2010 Harvard Pilgrim study (funded by AHRQ) found that "fewer than 1% of vaccine adverse events are reported." This suggests a potential underreporting factor of up to 100x.
Serious Injury Rate: We apply a conservative 15% rate for "serious" outcomes (death, hospitalization, permanent disability) based on typical VAERS classification ratios.
Note: We have preloaded the sliders below with the "Lazarus Scenario" — a 100x increase in adverse events to account for the 99% of unreported injuries. This model challenges the "safe and effective" narrative by visualizing the potential hidden cost.
1x = Official Data (No underreporting)
100x = Lazarus Study Estimate (1% reported)
Percentage of reported events actually caused by the vaccine.
Current Scenario:
- • Assuming 100x more events occur than reported.
- • Assuming 100% are truly vaccine-caused.
4.5M
Lives Saved (Est.)
30M
Serious Injuries (Est.)
Net Negative Impact
Under this scenario, the estimated serious injuries exceed the estimated lives saved. This model suggests that when accounting for significant underreporting (Lazarus Effect), the intervention may cause more harm than good.
The Burden of Proof
We invite you to adjust the sliders above. Test the official narrative against the data. Observe closely how much you must bend reality—ignoring 99% of adverse event reports or assuming perfect causality—to make the math work in favor of mass vaccination.
"If a medical intervention requires the systematic suppression of safety data to appear beneficial, it is not medicine. It is marketing."
References & Verification
View Full Database- WHO "Lives Saved" Estimate: World Health Organization. (2024). Immunization Agenda 2030. Claim: "Immunization currently prevents 3.5-5 million deaths every year." Source. Note: This figure is a theoretical model, not an empirical count.
- The Lazarus Study (Underreporting): Lazarus, R., et al. (2010). Electronic Support for Public Health–Vaccine Adverse Event Reporting System (ESP:VAERS). Harvard Pilgrim Health Care, Inc. / AHRQ. Quote: "Adverse events from drugs and vaccines are common, but underreported... fewer than 1% of vaccine adverse events are reported." Full Report (PDF).
- Global Adverse Events (VigiBase): Uppsala Monitoring Centre. (2024). VigiBase: The WHO global database of individual case safety reports. Contains over 40 million reports of suspected adverse effects of medicines and vaccines. Source.
- Historical Mortality Data: Centers for Disease Control and Prevention (CDC) / National Center for Health Statistics (NCHS). Vital Statistics of the United States, 1900-1960. Data confirms >95% decline in infectious disease mortality prior to the introduction of mass vaccination programs for measles, pertussis, and diphtheria.