The film “Plandemic” featuring Mikki Willis interviewing Dr. David E. Martin and Judy Mikovits, revealed that multiple drug and vaccine patents owned by governments, public universities, research centers, medical associations and non-profit organizations are the exact same institutions with the power to steer public policy toward mandating their vaccines, which is clearly and obviously a massive conflict of interest.

Could there actually be a conspiracy here, not a theory, but actual facts? After all, who benefits the most from the perception of a pandemic from a deadly COVID-19 virus? Vaccine-makers, tyrants and authoritarian political leaders do.

From the inception of this pandemic, public health officials and our political leaders have been misinformed by data projected by computer models from two primary sources, Imperial College (U.K.) and Emory University (U.S). These computer models grossly overestimated the infection and death rates for COVID-19.

“Never overestimate the intelligence of the American people.” ~ PT Barnum

COVID Action Now

Funded in part by the Bill and Melinda Gates Foundation, the Public Health Informatics Institute’s computer simulation program, COVID Action Now, was presented to public health officials and political leaders. 

As it turns out, these computer models were put into place only to get an immediate and rapid overwhelming pandemic response from public officials, and thereby the public, not to accurately predict the results of COVID-19. 

This important point of the COVID Action Now program was neither read nor fully understood by decision-makers before extreme measures were mandated by emergency decree. These projections were not based on real data or actual facts. 

These projections, graphs and charts were used at the onset of this pseudo- pandemic to scare political leaders into declaring national and state emergencies, implement widespread economic lockdowns, and mandate a pre-planned global public health agenda that includes social distancing, masks, contact-tracing and mandatory vaccines. 

In hindsight, these extreme measures turned out to be unjustified given the actual real number of COVID-19 infections which resulted in actual symptoms and sickness, actual cases which were verified and confirmed cases (not probable or suspected) and actual death counts attributed solely to COVID-19, without including a wide range of other preconditions. 

Desperate for Sensible Policymakers

U.S. citizens and other people of the world, are desperate for sensible policymakers to make wise decisions and to rely on facts. Sound decisions can only be made with sound data. Unfortunately, inaccurate virus models panicked international, national and state officials into ill-advised economic lockdowns before reliable and actual real data was available.

The actual real damage to the economic health of the U.S. – and much worse in the rest of the world – was many magnitudes greater than the threat of the pseudo- pandemic. Shutting down and destroying large sectors of the economy ironically destroyed millions of lives unaffected by the COVID-19 virus itself.

By relying on data from the Imperial College London, and partnering with the World Health Organization (WHO), Emory University School of Medicine, John Hopkins University School of Medicine and the Coronavirus Resource Center, hasty decisions were made by many of our political leaders. 

After several months, when it was too late to change course, U.K. Epidemiologists from Imperial College drastically revised their computer models.

There were actual spikes in death counts from COVID-19 (or from other factors such as 5G deployment, suicides, drug overdoses) especially in the most affected areas in the U.S. such as New York, Seattle, Los Angeles, Atlanta, Miami, Phoenix. 

The disparity between hospital and public health statistics, the inconsistency between local, state and international statistics, resulted in partly falsified, misclassified, wrongly-attributed or exaggerated numbers in far too many cases to justify such an extreme response. 

The numbers also generated doubt as to the extent of the pandemic which was much more dangerous on paper than in the real world. Yet the drastic changes in society and our lifestyles remain in effect every day.

“People always say the flu does this, the flu does that…COVID-19 is 10 times more lethal than seasonal flu… I think that’s something that people can get their arms around and understand.”
~ Dr. Anthony Fauci, Before U.S. Congress (March 11, 2020)

Add the fear and panic generated by the mainstream media to this numbers game, along with WHO and CDC, Emory University and Imperial College, John Hopkins Medical Center and Dr. Anthony Fauci’s prognostication that “two million will die in the U.S.”, left most people with the impression that COVID-19 is an out-of-control pandemic. 

Realistically, the true infection fatality rate in Santa Clara County, California was closer to the seasonal influenza rate. 

A four nation infectious disease group including the U.K. downgraded the pandemic and declared “As of March 19, 2020, COVID-19 was no longer considered to be a high consequence infectious disease (HCID) in the U.K.”

So how serious is COVID-19? Infectious disease expert and Medical Detective Michael Osterholm explained it in this video.

Compare Other Causes of Death Worldwide & in the U.S.

Examining the facts and body counts of other causes of death many magnitudes higher than COVID-19 have never been considered or labeled a pandemic. See Appendix VI: Disease Deaths per Day Worldwide.

On average 150,000 people die every day from all causes globally and 7,452 people die every day from all causes in the U.S. 

For example, in 2019, 37,386 people died in Oregon. In the first four months of 2020  (January – April), 12,891 people died in Oregon from all causes. Of those, 173 people died of COVID-19. In 2019, 59,922 people died in Arizona. In the first four months of 2020 (January – April), 1,189 people died of COVID-19 in Arizona.

Of those 150,000 people who die worldwide, 48,742 people die from cardiovascular diseases, 26,181 cancers, 10,724 respiratory diseases, 7,010, lower respiratory infections, 6,889 from dementia, etc.

Since this pandemic began in January 2020, the total deaths attributed to COVID-19 worldwide are 570,259 (as of July 13, 2020). Let us divide that number by one half of a year which equals 3,168 people who died every day from COVID-19 in 2020. 

Many of these COVID-19 deaths may have been misattributed or should have been categorized as another cause of death.

Confusing COVID with Seasonal Influenza

According to CDC data between October 1, 2019 and July 12, 2020 there were between 39 – 58 million seasonal flu illnesses in the U.S., between 18 million and 26 million medical visits, between 410,000 and 740,000 hospitalizations and between 24,000 and 62,000 of deaths due to flu. 

According to the WHO Europe during the winter months, influenza may infect up to 20% of the population. That’s typical of an ordinary seasonal flu. The population of Europe is 741 million people. This works out to 148 million cases of ordinary flu every year.

According to Worldometers data 258,404 people worldwide have died in 2020 of the seasonal flu (1,435 per day). Many of these influenza cases may have been misattributed to COVID-19.

Coincidentally, the CDC stopped tracking statistics of the seasonal flu in April 2020 commenting that “flu cases plummeted so low that they’re hardly worth tracking”. 

Furthermore, the “COVID” deaths the CDC has been reporting are actually a combination of pneumonia, flu and COVID-deaths, under a new category listed as “PIC” (pneumonia, Influenza, COVID).

Public health agencies (CDC & State Agencies) encouraged, and in some cases, mandated, labeling all “coronavirus” cases as COVID-19, which is related to SARS-CoV-2. Because even the common cold or seasonal flu is a “coronavirus,” some of these may have been counted thereby increasing the case numbers and the fear.

Flawed and inconsistent procedures may have significantly raised the positive test cases and the resulting death counts attributed to COVID-19. Whether any of these cases were truly caused by COVID-19, or another factor, is yet to be revealed.

Be aware that any interpretation of flawed and inconsistent data by the mainstream media is always subject to biased political agenda and spin. Interpretations of data by the mainstream media are not to be trusted. As a truth-seeker, go directly to the data sources and think deeply for yourself what’s actually real.

“Think twice before you think.” ~ E.E. Cummings

Hungry for Reliable Data

The actual statistics of cases, recoveries and deaths attributed to COVID-19 arise from multiple sources. If you look carefully, the data rarely matches up. Inflated numbers and  falsifications also serve to justify the extreme political lockdowns and shelter-in-place orders, therefore serving a political agenda as well.

For current numbers, see the CDC Daily Updates of Totals by Week and State and compare with Our World in Data Daily confirmed COVID-19 Deaths whose numbers are significantly lower. 

Also compare and contrast “WorldoMeters” data and “John Hopkins Coronavirus Resource Center” data. Statista has COVID-19 data. For local data, go directly to your County Health Department or State Health Department’.

For reliable data, Worldometers is tracking COVID-19 cases, deaths and recoveries in the U.S. and worldwide at: (United States) and (Worldwide) and (By Country).

Compare Worldometers numbers with the John Hopkins Coronavirus Resource Center and you’ll discover huge discrepancies in statistics. You may also discover many intriguing contradictions.

Working with Real Data

Finally after going along with computer simulations for months, the U.S. Surgeon General and U.S. President Trump dumped the Gates/Fauci’s “predictive contagion” model and started working with actual real data. They are no longer relying on CDC data to make decisions. 

At first it seemed surprising, that a field hospital in Seattle, Washington was dismantled as they didn’t see a single patient. Then a U.S. Navy Hospital ship docked in New York City also saw no patients. Hundreds of hospitals and health clinics across the U.S. were either closed, short staffed or nearly empty.

The actual COVID-19 infections, case and death counts in U.S. are astoundingly low compared to the initial projections. New data based on facts instead of computer projections suggest COVID-19 isn’t as deadly as some public health officials and medical professionals had imagined.

Still the number of COVID-19 positive test cases will likely increase significantly as testing increases, meanwhile, for the overall population, the percentage of coronavirus fatalities should simultaneously continue to drop.

Be aware of statistics, as they are consistently exaggerated or faked during this pandemic. Make sound decisions with sound data.

“In cases where a definite diagnosis of COVID-19 cannot be made, but it is suspected or likely, it is acceptable to report COVID-19 on a death certificate as ‘probably’ or ‘presumed’.” 
~ CDC Guidelines

Hidden Political Agenda

In retrospect, there was no sane or intelligent reason for an extreme political response given the unreliability of the data used to drive those decisions, unless there was a hidden agenda being deceptively foisted upon the U.S. and the rest of the world by those aiming to create a “New World Order” or “Deep State”. 

Ironically, these same computer models which were proven to be extremely inaccurate in predicting the actual risk and death counts of the first wave of COVID-19 are the same sources being tapped to predict the second wave of infections, cases and deaths after reopening the economy. Have we learned nothing? And, are we about to get fooled again?

Thousands of hysterical mainstream news headlines and false projections have fueled the pandemic panic such as “COVID-19 is killing 20 times more people per week than the flu does” or “3% of the population will die”. These headlines are pure and simple disinformation.

Was there a hidden political agenda in fostering public panic plus extreme political reactions to what is turning out to be an infectious disease with a similar death rate to the seasonal influenza? 

Were Global and National Public Health Agencies, such as WHO, CDC, NIH, Big Pharma, along with private sector organizations, corporations, universities and non-profit organizations, such as Gates Foundation, NIAID,  with a vested interest in marketing vaccines, planning on fostering panic by relying on computer models based on flawed premises?

Who benefits financially from the pseudo- pandemic? Big Pharma and their private and public sector partners. Who benefits politically from the COVID-19 panic? 

As we shall demonstrate in this book, this “plandemic” is about those in power imposing an authoritarian agenda for global regime change (aka, New World Order).  This is a worldwide holocaust in the making!


  1. Plandemic (film) | Interviews by Mikki Willis (heavily censored and discredited by the mainstream media, Wikipedia, Google/YouTube & Facebook); Green Smoothie Girl | Top U.S. Virologist blows the whistle on COVID-19; London Real & Digital Freedom Platform (film) | Liberty International Blog.
  2. COVID Act Now | A project of the Public Health Informatics Institutes (PHIL).
  3. Public Health Informatics Institute (PHII) | A project of Task Force for Public Health affiliated with Emory University funded in part by Bill and Melinda Gates Foundation; Works with WHO & PATH.
  4. The Hill | Desperate for sensible policymaker.
  5. The Federalist | Inaccurate virus models; Liberty International Blog.
  6. Imperial College & WHO.
  7. Emory University School of Medicine | Connected with COVID Action Now & PHIL.
  8. John Hopkins University School of Medicine & Coronavirus Resource Center.
  9. Daily Wire | UK Epidemiologist drastically revised their computer model.
  10. Rev Transcript | Dr. Anthony Fauci, Before U.S. Congress (March 11, 2020).
  11. KTLA | Stanford antibody study estimates COVID-19 infected 50 to 85 times more people than testing identified in Santa Clara County; True infection fatality rate closer to the seasonal influenza.
  12. Appendix XIV: Highly Contagious Infectious Diseases | HCID declared COVID-19 no longer a high consequence infectious disease.
  13. YouTube | How serious is the coronavirus?; Liberty International Blog.
  14. Appendix VI: Disease Deaths per Day Worldwide.
  15. Visual Capitalist | How many people die every day; Appendix VII: How Many People Die?.
  16. Coronavirus Resource Center | High count of worldwide deaths at 3,168/day.
  17. Fox6Now | As of March 21, 2020, 39 million people have had the seasonal flu.
  18. Fox6Now & CDC | Seasonal flu deaths.
  19. Organic Consumers | As noted by professor William M. Briggs, a statistical consultant and policy adviser at the Heartland Institute, a free-market think tank, in the video above, “CDC, up until about July 2020, counted flu and pneumonia deaths separately, been doing this forever, then just mysteriously stopped …It’s become very difficult to tell the difference between these,” referring to the combined tracking of deaths from “PIC.”; |  Scientists baffled at disappearance of influenza… but is it really gone, or just masked by COVID-19?
  20. CDC | Daily Updates of Totals by Week and State.
  21. Our World in Data Daily | Confirmed COVID-19 Deaths.
  22. WorldoMeters.
  23. John Hopkins Coronavirus Resource Center.
  24. Statista | Cases, deaths and infection rates.
  25. Worldometers | Cases, deaths and recoveries worldwide.
  26. John Hopkins Coronavirus Resource Center | Cases, deaths and recoveries worldwide.
  27. Fort Russ | Working with real data; Liberty International Blog.
  28. World News Daily | Seattle field hospital.
  29. Wall Street Journal & FEE | New data based on facts suggest COVID-19 not as deadly as we imagined; Liberty International Blog.
  30. Washington Times | Actual case and death counts.
  31. Appendix XIII: CDC Reports “Probable” Cases on Death Certificates.
  32. Live Science | Hysterical headlines and false science.

Source: Dawning of the Corona Age: Navigating the Pandemic by Johnny Freedom, p.19-26