More Docs Explain COVID Reality

Spanish Doctor Explains COVID Reality

Spanish doctor reveals the reality around the truly massive media madness going on at the moment. The TV reporter is thrown into confusion and keeps relentlessly pressing him. Then an angry studio journalist is brought in to sort him out – the Spanish doc ain’t having it and is solid as a rock. (subtitled)

The doctor also makes the wise observation that what needs to be vaccinated against is FEAR.  When the reporter continues beating the drum by needing to ‚insist that on average in Spain, 1,000 are testing positive per day,‘ the doctor wisely states that Helicobacter pylori is present in 50% of the population and is classified by the WHO as a type-1 carcinogenic, therefore 50% of the population is at risk for stomach cancer.  Should we be afraid of that?

You gotta love this guy.  FACTS inoculates against FEAR.

He states it would have been nice if the media had talked about the overcrowding hospitals in the Spring when the problem actually occurred, because they were forced to put patients in hotels.  He states the media is falsely bringing it up now when there is no such problem.  He also states he does not expect to see another wave.

Interestingly, the reporter ends by saying, „Well, we’ll leave it there.  I think everyone had a chance to give their opinion.“

You see, this is EXACTLY what is wrong. We don’t need opinions.  We need facts.  The doctor is the authority here.  This is HIS subject matter. The angry studio journalist is biased and not doing his job – which should be reporting the facts from those that are experts in the subject matter.

Italian Doctor Gives Harrowing Admissions and Facts on COVID Testing and Vaccine

Italian doctor (Dr. Roberto Petrella) gives harrowing admissions and facts on COVID testing and the vaccine:  (Approx. 4 Min.)

„I will prefer death, absolutely not vaccination.“  Dr. Tommy John

According to Dr. Andre A, the PCR test equates C8 (which is present in ALL human DNA) as a foreign hostile material.  A vaccine based upon this would result in physical impairment and even death:

September 2, 2020

COVID19 PCR – A Test That Tells You Your Body is the Enemy: A Vaccine Would Be Death By 1,000 Cuts

Covid19 Vaccine and Death by a Thousand Cuts

Published on August 24, 2020

Dr Andre A.Queen’s Counsel (hon.) Nominee, Barrister (Brussels), Chartered Journalist, Associate Member, Royal Society of Medicine


This article reviews the science behind the testing for Covid19 and concludes from the evidence, that its purpose is essentially and unequivocally a fraud upon humanity of the most unbecoming kind.

Covid19 Testing and Chromosome 8

To understand the rationale for Covid19 testing, one needs to understand what chromosomes are generally and in particular, what Chromosome 8’s function is.

Basically, a chromosome is a category of DNA (deoxyribonucleic acid) molecule which contains part or all of the genetic material (genome) of a living thing, or organism.

Chromosome 8 („C8“) is an important one in the human body. It encompasses around 146 million base pairs – DNA building materials – and is representative of around 5.0% of our cellular DNA. About 8% of C8’s genes are involved in brain development and function, and about 16% are involved in cancer. When C8 is deleted, or altered, typically we become prone to cancers as well as severe brain impairment. The list of serious ailments following C8 damage, alteration, or deletion follows:-

No alt text provided for this image

PCR Testing & Covid19

The PCR (polymerase chain reaction) test for Covid19, as endorsed by the World Health Organisation („WHO“), serves to discover parts of the Covid19 virus rather than the presence of the body’s immune response. Essentially the test seeks to detect the genetic information of the virus, the RNA, which are thought to be there only if the virus is present and there is an active infection.

Interestingly enough, WHO’s Test Document for PCR specifies an 18 character primer sequence – CTCCCTTTGTTGTGTTGT – as the protocol for testing positive for Covid19.

No alt text provided for this image

However, this protocol exists in all human DNA and exactly corresponds to C8. Therefore, what the PCR test is doing is equating C8 (which is present in ALL human DNA) as a foreign hostile material and indeed the coronavirus – Covid19 – itself.

No alt text provided for this image

Vaccines to Delete, or Suppress C8

It follows that any efficient Covid19 vaccine must serve to either delete C8 (as the coronavirus), or substantially suppress it. However, doing both, or either, will certainly result in the death, or severe mental and physical impairment of those who take it.

Definition of Genocide

Genocide is unlawful. It is defined as the deliberate killing of a large group of people, especially those of a particular nation or ethnic group.

By British law and the international treaties on human rights that Britain has signed up to, everyone in Britain has a „right to life“. As such, it cannot be clearer that for the government to authorise the use of the PCR test for Covid19 which produces a positive response only when the testee is healthy with functioning C8 DNA and to promote for use a vaccine that will destroy the very parts of the testee’s DNA (C8) that make them healthy and free from cancer and neurological diseases that will kill them, is nothing short of genocide in action and unlawful activity.

What you can do now

1) do your own research on the PCR test for Covid19 and the contents and purpose of any Covid-19 vaccine you may be required to take;

2) As your research will come to the same conclusions that the evidence produced above support, write to your political representative and ask for explanations;

2) If you do decide to take the vaccine, before you do, require full personal indemnity for damage to you, or your children from those that seek to impose the vaccination directly, or indirectly (includes by duress);

3) Speak to others who have the same concerns as you do and together, consult a human rights lawyer. V10HR – a human rights legal service of which I am a member, will be happy to advise in that regard.



For a great read on PCR Testing:


I asked Dr. Rasnick what advice he has for people who want to be tested for COVID-19.


Within this article is a systematic review of 14 studies that found that viral RNA can be detected long after the disappearance of the infectious virus.In other words, the test is picking up RNA material but the patient isn’t infected any moreThe authors point out that this material can linger for weeks in the body.

And the most important point:

THIS IS EXACTLY WHAT IS HAPPENING.  I’ve known people to be held in the hospital because they continue to test positive even though they have ZERO symptoms.

And here we learn that Hawaii, in an effort to ‚flatten the curve‘ is going to set up testing sites, and close a freeway in both directions to test people.  Hello?

Once individuals have been tested, they’ll be required to continue on to either end of the H-3 before using alternate Koolau routes, if necessary, to continue in transit.

 “We’re all working together for the health and safety of our whole community. Use of the H-3 will provide space to allow as many people as possible to be tested.”  Hawaii Gov. David Ige

Faulty testing is being used to take our freedoms away, clear and simple. Governors don’t seem to care about accuracy.

September 2, 2020

10 Years of Headaches, Vertigo, and Other Pains Dismissed as “Depression”

10 years of headaches, vertigo and other pains dismissed as “depression”

rhisa perera

By Rhisa Perera

I was born in Brooklyn in 1990, to a Puerto Rican mom and an Irish and Spanish dad. I was raised in Staten Island. In 2007, my senior year of high school, I started getting GI issues that lasted for about a year.

In 2009, after a few weeks in Puerto Rico, I came back to New York City and one day I got super dizzy, with a pounding headache. That headache literally did not stop for 10 years.

I went to my primary doctor, multiple ENTs, multiple neurologists, physical therapy, had many tests in the hospital. No answers. They gave me different antidepressants—for a decade. When my symptoms didn’t go away, they increased the dose or changed the medication. If you are familiar with those drugs, you know changing them takes a while to kick in, which is not fun.

In March of 2019, I woke up in the morning to go to work. My neck felt stiff as a board and I could not move my head from side to side. It felt as if there was a metal rod from the base of my skull to my pelvis.

“Your labs are normal”

I made it to work but was in such bad shape that my supervisor called an ambulance. The hospital ran the usual blood tests and then told me: “Your labs are normal, you’re most likely in pain because you’re depressed.”

I was never examined, never asked any questions, nothing. That is basically how I’ve been treated by every medical professional I’ve ever seen. I have a drawer full of medications I’ve been prescribed over the last decade.

In July, my headaches and vertigo came back full blown. At this point, I was in between jobs, so I was also in between insurance coverage. So, I just started doubling up on my medication. I had to find some relief and be a normal functioning human being for my wedding that was coming up in August.

It must have worked. I enjoyed most of my time in Puerto Rico and my wedding, except for the fatigue that would kill me at night.

By the end of August, I was back in the states and walking down the street in NYC. Out of nowhere, I felt like I’d been hit by a truck. By the next day, I was feverish, shaking, having cold sweats and could barely lift my head. My aunt took me to the ER and my temperature was 103. They diagnosed me with pneumonia and kept me there overnight on an IV and oral medication.

What about Lyme disease?

Because I was still having headaches, in September, I saw a new doctor. When I described my symptoms to her, she asked, “Have you been tested for Lyme disease?” I responded, “The bug thing?” I knew nothing about it. She said she thought I had it and ordered blood work.

A couple days later I got a message from the doctor: “Your labs are normal, but you did test positive for Lyme disease. That most likely explains your headaches and muscle/joint pain. I am sending in doxycycline to your pharmacy. Take it for two weeks and then I will see you for a follow up.”

I took the antibiotics as instructed. When I was almost done with the pills, my vertigo was so bad I couldn’t walk straight. I had absolutely no idea what was going on. I went back to the doctor, who wanted me to see a neurologist because all of a sudden, I was cured of Lyme and the symptoms had to be something else.

The neurologist saw me for a few minutes and swore I was HIV positive. Such disrespect! I walked out and saw another neurologist who didn’t help either.

I went home, feeling defeated. Then, remembering that I was part of a Facebook support group for migraine sufferers, it popped into my head that there must be Lyme disease support groups, as well. That realization turned me in a new direction! I found a group and started learning as much as I could.

What I discovered about Lyme disease

I found out how Lyme is not believed to be chronic by the majority of physicians and that many believe Lyme doctors are quacks. They believe Lyme is hard to get and easy to treat. (Half the time when I tell a doctor I have Lyme disease, they say I don’t or ask if I was treated. Like sure, that two-week antibiotic cycle killed years of bacteria that took over my muscles, joints, brain, and gut.)

Then, after watching the Lyme documentary Under Our Skin, I started looking for a Lyme-literate medical doctor.

When I was finally evaluated by someone who knew what to look for, I found out I had Borrelia (Lyme), Babesia, Bartonella, Rocky Mountain spotted fever, mycoplasma, Ehrlichia, high levels of candida in my gut, Epstein-Barr, and schistosomiasis (parasitic flatworms).

Currently I am only detoxing and treating holistically and with diet, as my body cannot tolerate antibiotics at this point. I’m learning what these bacteria crave and trying to avoid those things.

It’s tough and I go through periods where I am super angry that it’s taken this long to get some relief. It’s a weird life to live but I’m doing it.

Rhisa Perera writes NegraConLyme, from which this blog is adapted.



How many more have to go through this misery before ‚authorities‘ are willing to listen and adjust their thinking?

September 2, 2020

Weekly Updates by Select Demographic and Geographic Characteristics

Updated: August 26, 2020

For 6% of the deaths, COVID-19 was the only cause mentioned.

Weekly Updates by Select Demographic and Geographic Characteristics

Provisional Death Counts for Coronavirus Disease 2019 (COVID-19)minus iconContents

Updated: August 26, 2020alert icon

Note: Provisional death counts are based on death certificate data received and coded by the National Center for Health Statistics as of August 26, 2020. Death counts are delayed and may differ from other published sources (see Technical Notes). Counts will be updated every Wednesday by 5pm. Additional information will be added to this site as available.

List of Topics
  1. Age and sex
  2. Race and Hispanic origin by jurisdiction and by age
  3. Place of death
  4. Comorbidities
  5. Excess deaths
  6. State and county data files

For the Index of Provisional COVID-19 Mortality Surveillance and Ad-hoc Data Files, click here.

Age and sex

Table 1 has counts of death involving COVID-19 and select causes of death by sex and age group for the United States.  For data on sex and age at the state level,  Click here to download.  For data on sex and age by week,  Click here to download.

Data on deaths involving COVID-19 among ages 0–18 are available here:  Click here to download.

Table 1. Deaths involving coronavirus disease 2019 (COVID-19), pneumonia, and influenza reported to NCHS by sex and age group. United States. Week ending 2/1/2020 to 8/22/2020

Updated August 26, 2020

SexAge groupAll Deaths involving COVID-19 (U07.1)1Deaths from All CausesDeaths involving Pneumonia, with or without COVID-19, excluding Influenza deaths
Deaths involving COVID-19 and Pneumonia, excluding Influenza
(U07.1 and J12.0–J18.9)2
All Deaths involving Influenza, with or without COVID-19 or Pneumonia
Deaths involving Pneumonia, Influenza, or COVID-19
(U07.1 or J09–J18.9)4
All ages164,2801,778,821169,10872,5276,640266,520327,167,434
Under 1 year179,835892161203,848,208
1–4 years121,9096624111715,962,067
5–14 years282,9359385116441,075,169
15–24 years28018,594375955260842,970,800
25–34 years1,25738,5031,4215541502,26045,697,774
35–44 years3,30154,5633,1581,4352465,24141,277,888
45–54 years8,648100,9268,1383,93857513,31941,631,699
55–64 years20,655231,98321,8579,7801,23433,74542,272,636
65–74 years34,980351,80637,16316,5031,43656,84330,492,316
75–84 years43,392430,58246,17419,7971,46571,03315,394,374
85 years and over51,710537,18550,57420,4131,37483,0706,544,503
All ages88,716368,27633,6358,7852,9892,990161,128,679
Under 1 year125,4565828761,968,505
1–4 years61,11832125628,163,697
5–14 years201,743497238520,974,830
15–24 years17713,764233602737421,976,455
25–34 years84427,147889372761,42823,210,709
35–44 years2,27035,9532,0179901323,40620,587,600
45–54 years5,93363,4945,0992,7163418,58520,541,202
55–64 years13,523142,95813,3606,35770121,07720,398,863
65–74 years21,606204,63922,32710,25180134,33014,246,085
75–84 years23,840223,91325,83011,16872939,1176,735,040
85 years and over20,485207,35322,4928,89856134,5562,325,693
All ages75,560851,20676,71731,7013,215123,418166,038,755
Under 1 year54,3653108441,879,703
1–4 years679134116557,798,370
5–14 years81,192441287920,100,339
15–24 years1034,829142352523420,994,345
25–34 years41311,3545321827483222,487,065
35–44 years1,03118,6071,1414451141,83520,690,288
45–54 years2,71437,4293,0381,2212344,73321,090,497
55–64 years7,13289,0188,4963,42353212,66621,873,773
65–74 years13,373147,15614,8356,25163522,51216,246,231
75–84 years19,551206,65620,3438,62873631,9158,659,334
85 years and over31,224329,80928,08111,51481348,5134,218,810

NOTE: Number of deaths reported in this table are the total number of deaths received and coded as of the date of analysis and do not represent all deaths that occurred in that period. Counts of death occurring before or after the reporting period are not included in the table.

*Data during this period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.

1Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1

2Counts of deaths involving pneumonia include pneumonia deaths that also involve COVID-19 and exclude pneumonia deaths involving influenza.

3Counts of deaths involving influenza include deaths with pneumonia or COVID-19 also listed as a cause of death.

4Deaths with confirmed or presumed COVID-19, pneumonia, or influenza, coded to ICD–10 codes U07.1 or J09–18.9.5Population is based on 2018 postcensal estimates from the U.S. Census Bureau

Race and Hispanic origin

Data by race and Hispanic origin are available at the national, state, and county level. Data by race and Hispanic origin is also available by age at the national and state level. Click here to visit the NCHS Health Disparities: Race and Hispanic origin page.

Place of death

Table 2 presents death counts of COVID-19 and other select causes of death by the place of death. For data on place of death at the state level,  Click here to download.

Table 2. Deaths involving coronavirus disease 2019 (COVID-19), pneumonia, and influenza reported to NCHS by place of death, United States. Week ending 2/1/2020 to 8/22/2020.*

Updated August 26, 2020

Place of deathAll Deaths involving COVID-19 (U07.1)1Deaths from All CausesDeaths involving Pneumonia, with or without COVID-19, excluding Influenza deaths
Deaths involving COVID-19 and Pneumonia, excluding Influenza
(U07.1 and J12.0–J18.9)2
All Deaths involving Influenza, with or without COVID-19 or Pneumonia
Healthcare setting, inpatient105,964518,617119,87657,4214,017
Healthcare setting, outpatient or emergency room5,932105,4675,7231,943237
Healthcare setting, dead on arrival1655,0641264111
Decedent’s home8,820597,90311,5491,7431,439
Hospice facility4,485111,8287,9642,021316
Nursing home/long term care facility36,078318,68721,0738,626522
Place of death unknown581,67471200

NOTE: Number of deaths reported in this table are the total number of deaths received and coded as of the date of analysis and do not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the table.

*Data during this period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.

1Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1.

2Counts of deaths involving pneumonia include pneumonia deaths that also involve COVID-19 and exclude pneumonia deaths involving influenza.3Counts of deaths involving influenza include deaths with pneumonia or COVID-19 also listed as a cause of death.


Table 3 shows the types of health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19).

For 6% of the deaths, COVID-19 was the only cause mentioned.

For deaths with conditions or causes in addition to COVID-19, on average, there were 2.6 additional conditions or causes per death. The number of deaths with each condition or cause is shown for all deaths and by age groups. For data on comorbidities,  Click here to download.

Table 3. Conditions contributing to deaths involving coronavirus disease 2019 (COVID-19), by age group, United States. Week ending 2/1/2020 to 8/22/2020.*

Updated August 26, 2020

 Number of Conditions
 Age Group
Conditions Contributing to Deaths where COVID-19 was listed on the death certificate1ICD–10 codesAll ages0–24 years25–34 years35–44 years45–54 years55–64 years65–74 years75–84 years85 years and over
Total COVID-19 deaths2, as of 8/22/2020U071161,3923301,2413,2288,50120,29534,33442,58750,867
Respiratory diseases
Influenza and pneumoniaJ09–J1868,0041115641,4283,9679,43815,38918,11618,989
Chronic lower respiratory diseasesJ40–J4713,78024591394031,4863,2624,3354,071
Adult respiratory distress syndromeJ8021,899592316121,7953,7775,7575,3174,349
Respiratory failureJ9654,803994011,0162,9817,20812,60115,10015,394
Respiratory arrestR09.23,282621641603626678911,111
Other diseases of the respiratory systemJ00–J06, J20–J39, J60–J70, J81–J86, J90–J95, J97–J99, U045,66418451132877081,1931,5311,769
Circulatory diseases
Hypertensive diseasesI10–I1535,27214984471,5294,2377,7019,67911,566
Ischemic heart diseaseI20–I2518,103222904201,6563,6955,4616,755
Cardiac arrestI4620,210461864701,3242,9234,5605,0805,620
Cardiac arrhythmiaI44, I45, I47–I499,812922582217091,7482,8734,172
Heart failureI5010,562440822728871,8092,9134,555
Cerebrovascular diseasesI60–I697,653723802698711,7042,2372,461
Other diseases of the circulatory systemI00–I09, I26–I43, I51, I52, I70–I998,74339982095041,1291,9282,1572,679
Malignant neoplasmsC00–C977,4152431902771,0061,9322,2501,805
Alzheimer diseaseG305,6080002503721,6273,557
Vascular and unspecified dementiaF01, F0318,497002202831,7135,40911,070
Renal failureN17–N1913,693141102879092,0013,4773,5973,296
Intentional and unintentional injury, poisoning and other adverse eventsS00–T98, V01–X59, X60–X84, X85–Y09, Y10–Y36, Y40–Y89, U01–U035,133361241763026091,0031,2201,661
All other conditions and causes (residual)A00–A39, A42–B99, D00–E07, E15–E64, E70–E90, F00, F02, F04–G26, G31–H95, K00–K93, L00–M99, N00–N16, N20–N99, O00–O99, P00–P96, Q00–Q99, R00–R08, R09.0, R09.1, R09.3, R09.8, R10–R9977,9902517001,5524,19510,49718,13420,35622,296

NOTE: Number of conditions reported in this table are tabulated from deaths received and coded as of the date of analysis and do not represent all deaths that occurred in that period. Data for this table are derived from a cut of the NVSS database taken at a particular time, separate from other surveillance tables on this page which are tabulated on the date of update. As a result, the total number of COVID-19 deaths in this table may not match other surveillance tables on this page.

*Data during the period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more.

1Conditions contributing to the death were identified using the International Classification of Diseases, Tenth Revision (ICDndash;10). Deaths involving more than one condition (e.g., deaths involving both diabetes and respiratory arrest) were counted in both totals. To avoid counting the same death multiple times, the numbers for different conditions should not be summated.2Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1

Excess deaths

See the NCHS Excess Deaths Data Visualization.

This data visualization presents data on weekly counts of all-cause mortality by jurisdiction of occurrence. Counts of deaths in the most recent weeks are compared with historical trends to determine whether the number of deaths in recent weeks is significantly higher than expected.

State and County Data Files

Weekly Counts of Deaths by State and Select Causes

  • Final data for 2014–2018  – Weekly counts of leading causes of death based on final underlying cause mortality data for years 2014–2018.
  • Provisional data for 2019–2020  – Weekly counts of leading causes of death based on provisional underlying cause mortality data for 2019–2020, updated weekly.

Provisional COVID-19 Death Counts in the United States by County 

  • This file includes deaths involving COVID-19 (coded to ICD–10 code U07.1) and total deaths per county. Counties included in this table had 10 or more COVID-19 deaths at the time of analysis.

Understanding the Numbers: Provisional Death Counts and COVID-19

Provisional death counts deliver the most complete and accurate picture of lives lost to COVID-19. They are based on death certificates, which are the most reliable source of data and contain information not available anywhere else, including comorbid conditions, race and ethnicity, and place of death.

How it Works

The National Center for Health Statistics (NCHS) uses incoming data from death certificates to produce provisional COVID-19 death counts. These include deaths occurring within the 50 states and the District of Columbia.

NCHS also provides summaries that examine deaths in specific categories and in greater geographic detail, such as deaths by county and by race and Hispanic origin.

COVID-19 deaths are identified using a new ICD–10 code. When COVID-19 is reported as a cause of death – or when it is listed as a “probable” or “presumed” cause — the death is coded as U07.1. This can include cases with or without laboratory confirmation.

Why These Numbers are Different

Provisional death counts may not match counts from other sources, such as media reports or numbers from county health departments. Counts by NCHS often track 1–2 weeks behind other data.

  • Death certificates take time to be completed. There are many steps to filling out and submitting a death certificate. Waiting for test results can create additional delays.
  • States report at different rates. Currently, 63% of all U.S. deaths are reported within 10 days of the date of death, but there is significant variation between states.
  • It takes extra time to code COVID-19 deaths. While 80% of deaths are electronically processed and coded by NCHS within minutes, most deaths from COVID-19 must be coded by a person, which takes an average of 7 days.
  • Other reporting systems use different definitions or methods for counting deaths.

Things to know about the data

Provisional counts are not final and are subject to change. Counts from previous weeks are continually revised as more records are received and processed.

Provisional data are not yet complete. Counts will not include all deaths that occurred during a given time period, especially for more recent periods. However, we can estimate how complete our numbers are by looking at the average number of deaths reported in previous years.

Death counts should not be compared across states. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. State vital record reporting may also be affected or delayed by COVID-19 related response activities.

For more detailed technical information, visit the Provisional Death Counts for Coronavirus Disease 2019 (COVID-19) Technical Notes page.Download PDF Version

Sweden’s High Covid Death Rates Among the Nordics: “Dry Tinder” and Other Important Factors



“The single largest factor for why Sweden had it much worse than its Nordic neighbors during corona is the ‘dry tinder’ hypothesis. We are sensitive about borrowing the dry tinder metaphor for the persons of human souls, but the metaphor is clarifying: Maybe a country has more forest fires this…

This year has been stupefying – only God knows what comes next! What has been so odd in the corona conversation is the persistent lack of nuance. Many have treated the responses to the pandemic with a one-dimensional argument that won’t pass even a rudimentary sniff test. The story goes something like this: The moral imperative of the day is to close down society because that will reduce social interaction, transmission, and deaths.

And suddenly that most darling of countries, Sweden, is deviant and miscreant. Its lighter-touch approach is discussed as “the World’s Cautionary Tale,” a “A Very Swedish Sort of Failure,” and “The Grim Truth about the Swedish ‘Model’.”

Allowing restaurants and schools and hairdressers to remain open in the midst of a contagious pandemic has attracted fierce international opposition. For keeping its society more open than most everyone else, Sweden has paid a hefty price, we are told: almost 6,000 dead in a population of just above 10 million. Had Sweden invoked the strict lockdowns of its Nordic neighbors, so many unnecessary deaths could have been prevented. The usually vaunted Scandinavian country sacrificed its elderly with nothing but kindergartens and some open-air cafés to show for it. An article in Business Insider is titled “Skeptical Experts in Sweden Say Its Decision to Have No Lockdown Is a Terrible Mistake that No Other Nation Should Copy.”

But is the story true?

In a new paper, we consider 15 other factors that help to explain Sweden’s excessive death rate compared to its Nordic neighbors. Sweden was in a very different position than its neighboring countries at the onset of the pandemic – uniquely positioned, if you wish, to suffer a worse outcome from a coronavirus-like pandemic.

Many observers argue along the lines of the Latin expression post hoc ergo propter hoc, usually translated as “after this, thus because of this.” The idea is that because Sweden’s horrific death rates followed its refusal to lock down its society as strictly as other countries, the latter must have been the cause of the former.

We invoke another Latin expression as more pertinent to Sweden’s excess corona deaths: ceteris paribus, or “all things equal.” Many international observers, particularly Americans, might make the mistake of thinking that all the Nordic countries are the same – Minnesota-sized countries with roughly the same language and culture and social-democratic institutions.

Not so. Sweden differs in identifiable ways from Norway, Finland, and Denmark. Moreover, the pandemic is particular, and the particulars of time and place can matter enormously.

Some major factors behind Sweden’s corona deaths

The epicenter of the pandemic in all the Nordic countries have been their capital cities: Stockholm, for instance, accounts for 42% of all Sweden’s corona deaths even though only some 20% of the population lives there. Similarly, metro-area Copenhagen holds about 35% of Denmark’s population but 58% of its corona deaths and Oslo 24% of the country’s population but 36% of its corona deaths.

Other densely populated regions of Sweden, such as the borderlands to Denmark, have seen death rates indistinguishable from Danish regions across Öresund, suggesting to us that there’s something special about Stockholm’s outbreak that doesn’t reflect the Swedish policies more broadly. One is the relatively larger population and metro commuter area. As we’ve seen with New York City and the tri-state area, contagion increases rapidly with more people in closer vicinities. The Stockholm subway system has between three and five times the ridership that its Nordic neighbors do.

Another is the propensity of Stockholm residents to ski in the Alps. Also notable for Stockholm is the timing of Sweden’s “sport” break (sportlov), where families often go to Italy or Austria for skiing. The sport breaks are staggered for Sweden’s three largest metropolitan areas: Gothenburg, February 10-16; Malmö, February 17-23; Stockholm, February 24-March 1. Stockholm’s winter break corresponds with the booming infections in northern Italy, whereas travelers from the other two areas seem to have largely missed those. Karin Tegmark Wisell of Sweden’s Public Health Agency reported that when investigating the virus, they could “clearly see the enormous imports from Italy.” As the population in the three other Nordics don’t travel to the Alps as much, they would not have had as much early exposure through this infection channel.

By using the timing of lockdowns, we discuss a more devastating argument against the belief that they would have helped Sweden much. The other Nordics rapidly closed their borders and societies around March 12, which is the date when a counterfactual Sweden could have followed its Nordic peers and done the same. According to the World Health Organization, it takes something like 12 days from first corona symptoms to death –add another few days from exposure to first symptoms. We simply calculate 18 days from March 12 (the red bar in the figure below) and suggest that spread and infections before then could not have been prevented by a lockdown:

Source: EuromomoJacob Gudiol.
Horizontal axis is calendar weeks. 

The figure above is all-cause deaths. We see the same thing if we look only at the COVID deaths:

    Sweden’s Covid deaths
Source: Adam Altmejd

The horizontal red line spans deaths that were baked into the cake by March 12. Much of the statistical hill that Sweden was to climb had already been infected by March 12. On this date, the virus was already much more pervasive in Sweden than in the other Nordics: Actions taken on March 12 could not have undone the past, only altered the future.

In the paper, we also discuss the impact of immigrant populations, not only that infected non-Western immigrants are about 50% more likely than those of European descent to die from the virus, but that Sweden has a much larger population of citizens born in Africa or Asia – 9.8%, compared to Denmark’s 5 percent, Norway’s 7 percent, and Finland’s 3 percent. If that’s a higher risk factor, Sweden was worse positioned.

Also, elderly care workers are heavily staffed by immigrants. Like elsewhere, most of Sweden’s deaths have occurred in elderly care services, of which Sweden has more and larger facilities, with more vulnerable residents than does its neighbors. Also, we believe that cross-work among several care home facilities is more common in Sweden than in the other Nordics, offering another channel for transmitting the disease to those most vulnerable.

“Dry Tinder”: Large and Crystal Clear

But the single largest factor for why Sweden had it much worse than its Nordic neighbors during corona is the “dry tinder” hypothesis. We are sensitive about borrowing the “dry tinder” metaphor for the persons of human souls, but the metaphor is clarifying: Maybe a country has more forest fires this year than its neighbors because it had fewer fires in previous years, and dry tinder accumulated, awaiting a spark.

For the previous year’s flu season, Sweden saw remarkably low death rates, relative to its own recent history and to that of its neighbors. Jonas Herby, of Denmark’s Centre for Political Studies, shows Sweden’s dry tinder situation by reporting mortality rates over the last five flu seasons:

The dry-tinder situation in Sweden
Source: Herby 2020, using data from Statistics Sweden.

The dotted red line shows the unusually light death toll during the year 2018/2019 and into the first weeks of 2020; Sweden was loaded with “dry tinder” when the coronavirus arrived.

A Twitter user (EffectsFacts) used the Human Mortality Database by demographers from Max Planck Institute and U.C. Berkeley to present the data in a number of ways. The following figure has a panel for each of the four countries. The critical thing in each panel is the 2018/2019 flu season peak straddled by two valleys. Look at the peak area compared to the two valley areas. It is graphically evident that Sweden’s ratio of peak-area/two-valleys-area is by far the lowest. It had fewer forest fires in previous years. The result was much more dry tinder heading into 2020. (The medical device engineer Ivor Cummins provides a splendid 2-min pedagogical video to illustrate those numbers).

Sweden had a much lower peak/valleys ratio.
Source: @EffectsFacts

Going into the corona pandemic of 2020, Sweden already had an abundance of vulnerable elderly who would not have survived a harsher flu season – and whose Danish, Norwegian and Finnish counterparts did not survive the previous years’ flu seasons in those countries.

In our paper, we present and link to numerous other analyses of the “dry tinder” effect in Sweden. It is real, and it is very large. We provide some simple calculations to suggest that it might account for half of Sweden’s outsized COVID death toll.

Why is it that during previous years 2018-2019 Sweden did so much better – or perhaps was luckier – than the other Nordics in preventing deaths? We do not know. At any rate, “dry tinder” is why “Sweden Records Highest Death Tally in 150 Years in First Half of 2020” – and is something that any real journalist writing on August 19, 2020 would have learned of and informed readers of. That article in The Guardian epitomizes the lack of nuance marking the leftist media.

Delivering the verdict on Sweden’s response to the corona pandemic must take this into account: going into 2020, Sweden was already in a more vulnerable position than its neighbors.

Even if one disregards new research suggesting that lockdowns don’t work (herehere and here), it is improbable that Sweden’s light lockdown is one of the main possible reasons for Sweden’s high COVID death rate. But we go on to list 15 other factors. The single-minded story that Sweden’s high death rate, relative to the other Nordics, stems from its relatively liberal corona policy lacks nuance. There are many other differences between Sweden, Norway, Denmark, and Finland, including differences specific to the present. Compared to its neighbors, Sweden would have had a much worse death toll regardless of the policy measures it took in March 2020.


– August 29, 2020


Source: Sweden’s High Covid Death Rates Among the Nordics: “Dry Tinder” and Other Important Factors

Der Sieg, der Deutschland zur Nation machte – Teil 4 Die Schlacht von Sedan und der Pariser Kaisersturz

Napoleon III. und Bismarck am Morgen nach der Schlacht bei Sedan.

Napoleon III. und Bismarck am Morgen nach der Schlacht bei Sedan. Die hohen Herren jedoch, Sieger wie Verlierer, begegneten sich mit Respekt, Stil und ohne Sprachschwierigkeiten.



Der 2. September eines jeden Jahres war im deutschen Kaiserreich in der Zeit von 1871 bis zum Ersten Weltkrieg ein Tag des Stolzes. Denn an diesem Tag erinnerte sich die Nation an den großen militärischen Erfolg der preußisch-deutschen Streitkräfte in der Schlacht bei der Kleinstadt Sedan im deutsch-französischen Krieg 1870/71. Der Sieg in dieser vor allem für die französische Seite verlustreichen und katastrophal endenden Schlacht war allerdings nicht nur überlegener Strategie der deutschen Führung und der Kampfkraft ihrer Truppen zu verdanken. Bedeutenden Anteil an diesem in ganz Deutschland gefeierten Triumph hatte auch die militärische und politische Konfusion im Nachbarland.

Denn nach den überraschenden Niederlagen der Franzosen seit Kriegsbeginn Ende Juli  1870 hatte deren Führung viele Fehlentscheidungen getroffen, die am 18. August zum verzweifelten Rückzug einer riesigen Armee in die Festung Metz führten. Damit war ein bedeutender Teil der französischen Streitmacht bis zur Kapitulation von Metz am 27. Oktober 1870 dauerhaft außer Gefecht gesetzt. Der andere Teil der kaiserlichen Armee manövrierte sich selbst in die Falle von Sedan, wo er von den deutschen Truppen am 1. September 1870 eingekesselt und vernichtend geschlagen wurde. Nach dramatischen nächtlichen Verhandlungen kapitulierte die französische Führung am folgenden 2. September. Denn die völlig demoralisierten Soldaten und ihre Offiziere konnten den Kampf nicht mehr mit Aussicht auf irgendeinen Erfolg weiterführen.

Spektakulär an dem deutschen Triumph war aber nicht nur die Kapitulation eines Gegners, der vor einigen Wochen in ganz Europa noch als unbesiegbar gegolten hatte. Das ganz besondere Ereignis von Sedan war die Gefangennahme des französischen Kaisers Napoleon III., der unter starkem innenpolitischen Druck zur Armee geeilt war. Seine Begegnung nach der Niederlage mit Bismarck, später auch mit dem preußischen König und künftigen deutschen Kaiser Wilhelm I., war ein welthistorisches Ereignis. Der Sieg in Sedan entfachte in den deutschen Landen eine nationale Euphorie ohnegleichen. Die hohen Herren jedoch, Sieger wie Verlierer, begegneten sich mit Respekt, Stil und ohne Sprachschwierigkeiten, zusätzliche Demütigungen von Napoleon III. wurden strikt vermieden. Der Kaiser wurde nach Kassel gebracht und dort luxuriös interniert.


Das war auch dem Respekt der Sieger vor den tapfer kämpfenden Franzosen geschuldet. Vor allem deren Kavallerie hatte sich mit Todesmut ins Feuer der deutschen Artillerie und Infanterie gestürzt und fürchterliche Verluste erlitten. Die Schlacht beobachteten von  einem Hügel aus König Wilhelm I., Bismarck und Generalfeldmarschall Moltke. Letzterer stellte bei den folgenden Verhandlungen die Franzosen unmissverständlich vor die Wahl: Kapitulation oder massive Bombardierung der mit Soldaten vollgestopften Stadt Sedan. Der französische Befehlshaber General von Wimpffen musste schweren Herzens den militärischen Realitäten Rechnung tragen. Wimpffen war erst kurz zuvor aus Algerien gekommen, wo er Kommandeur von Oran war. Seine Blitzkarriere verdankte er den Niederlagen der ersten Kriegswochen, doch retten konnte diese tragische Figur nichts mehr. Mit Wimpffen mussten rund 100.000 französische Offiziere und Soldaten den bitteren Weg in die deutsche Gefangenschaft antreten.

Napoleon III. wurde bereits am 4. September nach Unruhen in Paris faktisch gestürzt. Am gleichen Tag wurde in der französischen Hauptstadt die Republik ausgerufen und eine provisorische „Regierung der nationalen Verteidigung“ gebildet. Diese Entwicklung war äußerst folgenreich für den weiteren Kriegsverlauf. Denn die neuen Machthaber in Paris wollten nach all den militärischen Desastern keineswegs kapitulieren, sondern weiterkämpfen. Der Krieg, der bei der Sedan-Schlacht fast 10.000 deutsche Opfer forderte, war noch nicht zu Ende. Das nächste Ziel der Sieger war nun die massiv befestigte Hauptstadt des Feindes. Bereits am 18./19. September war Paris von den deutschen  Truppen eingeschlossen.

» Teil 1: Vor 150 Jahren begann der deutsch-französische Krieg
» Teil 2: Frankreichs militärisches Fiasko beginnt
» Teil 3: ARTE-Doku über den Krieg 1870/71
» Buchtipp: Der Deutsch-Französische Krieg 1870/71. Vorgeschichte, Verlauf…, Hrsg.: Olaf Haselhorst – hier bestellen



Source: Der Sieg, der Deutschland zur Nation machte – Teil 4 Die Schlacht von Sedan und der Pariser Kaisersturz

Spahn: „Mit dem Wissen heute hätte der Lockdown nicht so drastisch ausfallen müssen“

Gesundheitsminister Jens Spahn relativiert bei seinen Wahlkampfauftritten in Nordrhein-Westfalen die strengen Lockdown-Maßnahmen vom Frühjahr. Man habe inzwischen dazugelernt.

Wenige Tage, nachdem Jens Spahn bei einem Auftritt in Bergisch Gladbach beleidigt und bespuckt worden war, kam es bei einem Auftritt am Montag in Bottrop erneut zu Anfeindungen.

Wie die „Rheinische Post“ berichtet, habe Spahn 35 Minuten lang versucht, mit den Protestierenden zu reden. „Was auch immer der Grund ist, warum Sie so wütend sind, frage ich mich, ob dieser Grund ein so guter sein kann, dass wir so miteinander umgehen“, soll Spahn gefragt haben.