Supplement to Plaintiffs’ Brief
- Date
- 2022-02-08
Summary
A Supplement to Plaintiffs' Brief (ECF 43) in America's Frontline Doctors, et al. v. The United States of America, et al., Case No. 2:21-cv-702-CLM, in the U.S. District Court for the Northern District of Alabama, filed February 16, 2022 as Document 47. The plaintiffs submit it to explain the relevance of an Excel file presented to the Court on February 8, 2022, attached as Exhibit A. The filing states that the file holds data queried from the Defense Medical Epidemiological Database (DMED) by Army medical officers, and it disputes the DOD's statement that a database glitch explains increases in 2021 diagnoses. Exhibit A is a table of diagnosis counts for 2016 to 2020 and 2021 with percent increases, and Exhibit B is a declaration by a statistical and data analyst. It is signed by counsel Lowell H. Becraft, Jr., Thomas Renz, Michael A. Hamilton and F. R. Jenkins.
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Case 2:21-cv-00702-CLM Document 47 Filed 02/16/22 Page 1 of 9 FILED
2022 Feb-16 PM 11:17
U.S. DISTRICT COURT
N.D. OF ALABAMA
IN THE UNITED STATES DISTRICT COURT FOR
THE NORTHERN DISTRICT OF ALABAMA
AMERICA’S FRONTLINE )
DOCTORS, et al, )
)
Plaintiffs, )
)
v. ) Case No. 2:21-cv-702-CLM
)
The UNITED STATES OF AMERICA, ) Supplement to Plaintiffs’ Brief
et al, ) (ECF 43)
)
Defendants. )
COME NOW the Plaintiffs, by and through their undersigned attorneys, and
as their supplemental filing explaining the relevance of the Excel file presented to the
Court on February 8, 2022 (see Order entered on February 8, 2022, ECF 46), do
hereby submit the following:
1. The Excel spread sheet file first presented to the Court on February 8, 2022
(the “File”) is now attached as Exhibit A to this Supplement.
2. The File contains a table of data that has been carefully downloaded from the
Defense Medical Epidemiological Database (“DMED”) by senior military personnel
who are risking everything to serve their country in the best way they know how, now
as whistleblowers.
3. These personnel are LT COL Theresa M. Long, LT COL Peter Chambers,
1LT Mark Bashaw and MAJ Samuel Sigoloff (the “Whistleblowers”). The
1
Case 2:21-cv-00702-CLM Document 47 Filed 02/16/22 Page 2 of 9
Whistleblowers are U.S. Army medical officers with regular authorized access to
DMED. Each of them regularly accesses DMED as a part of their job. Each of them
has provided undersigned counsel with a declaration under 28 U.S.C. § 1746(2).1
4. The DMED website2 explains:
DMED is available to authorized users such as U.S. military providers,
epidemiologists, medical researchers, safety officers or medical operations /
clinical support staff for serving health conditions in the U.S. military.
The purpose of DMED is to standardize the epidemiologic methodology used
to collect, integrate and analyze active component service member personnel
and medical event data, to provide authorized users with remote access to the
summarized data.
5. Each of the Whistleblowers independently queried the DMED database
using the same queries. Each of the Whistleblowers obtained the same shocking
results. Each of the Whistleblowers attempted to discredit and find an alternate
explanation for the results, and each failed. The queries and results are reflected in
the File. The File is populated exclusively with, and faithfully reflects, the DMED
data.
6. The File reveals that prior to the commencement of vaccination within the
DOD with the mRNA COVID-19 vaccines, the incidence of certain diseases and
1
The declarations exceed the 10-page limit imposed by the Court in its February 8 Order,
however, counsel will provide them to the Court upon request.
2
https://health.mil/Military-Health-Topics/Combat-Support/Armed-Forces-Health-
Surveillance-Division/Data-Management-and-Technical-Support/Defense-Medical-
Epidemiology-Database
2
Case 2:21-cv-00702-CLM Document 47 Filed 02/16/22 Page 3 of 9
medical conditions among DOD personnel was predictable and constant at a certain
level over a number of years from 2016 to 2020; HOWEVER, after the
commencement of vaccination within the DOD with the mRNA COVID-19 vaccines
in 2021, the incidence of these diseases and medical conditions among DOD
personnel spiked dramatically.
7. For example, the File shows a 456% increase in acute myocardial infarction,
a 468% increase in pulmonary embolism, a 296% increase in all cancers, a 275%
increase in myocarditis.
8. The data in the File was first disclosed to the general public at a roundtable
hosted by U.S. Senator Ron Johnson (R-WI) on January 24, 2022.1 Following the
exposé, the DOD responded with a statement that the dramatic spike in disease and
medical conditions in DOD personnel immediately following the vaccine rollout in
DOD was purely coincidental, and the result of a previously unannounced “glitch”
in its DMED database, and had nothing to do with the vaccines themselves. The
DOD maintains that the database glitch resulted in artificially low incidence numbers
in the years 2016-2020, but that the 2021 data is accurate.
9. The DOD “glitch” story is absurd. It strains credulity that such a
breathtaking error in the DMED database, which is heavily scrutinized by personnel
1
https://www.ronjohnson.senate.gov/2022/2/sen-johnson-to-secretary-austin-has-dod-
seen-an-increase-in-medical-diagnoses-among-military-personnel
3
Case 2:21-cv-00702-CLM Document 47 Filed 02/16/22 Page 4 of 9
throughout the DOD and other federal agencies, including the agencies employing the
named Defendants, could have gone unnoticed for so long, including during the
height of the pandemic in 2020. It is equally unconvincing that the DMED database
would have magically corrected itself prior to 2021, while leaving all of the old
erroneous data in the system.
10. Further, Plaintiffs have conducted their own investigation, and offer the
attached Declarations of Mathew Crawford (Exhibit B) and Dr. Andrew Huff (Exhibit
C), which are further illuminating and suggest deliberate agency misconduct and
fraud (abuse of discretion).
Respectfully submitted this the 16th day of February, 2021.
/s/ Lowell H. Becraft, Jr. /s/ Thomas Renz
Lowell H. Becraft, Jr. Thomas Renz
Attorney for Plaintiffs Attorney for Plaintiffs
ASB 5005-F66L Ohio Bar No. 98645
403C Andrew Jackson Way 1907 W. State St. #162
Huntsville, AL 35801 Fremont, OH 43420
256-533-2535 419-351-4248
becraft@hiwaay.net renzlawllc@gmail.com
/s/ Michael A. Hamilton /s/ F. R. Jenkins
Michael A. Hamilton F. R. Jenkins
Attorney for Plaintiffs Attorney for Plaintiffs
KY Bar No. 89471 Maine Bar No. 004667
HAMILTON & ASSOCIATES Meridian 361 International Law
1067 N. Main St, PMB 224 Group, PLLC
Nicholasville, KY 40356 97A Exchange Street, Suite 202
859-655-5455 Portland, ME 04101
4
Exhibit A
Case 2:21-cv-00702-CLM Document 47 Filed 02/16/22 Page 5 of 9
Defense Medical Surveillance System (DMSS) Defense Medical Epidemiology Database (DMED) DoD Data - January 2022
Avg Injuries
Query Total 2021 Percent Increase in
Diagnosis or Injury 2016 2017 2018 2019 2020 Per Year
Date 2016-2020 (Partial Year) 2021
2016-2020
All Diseases & Injuries
All Disease & Injuries (Amb) 1/19/2022 2,059,630 2,058,379 2,022,663 2,110,383 1,976,724 10,227,779 2,045,555.80 21,512,583 1052%
All Disease & Injuries (Hosp) 1/19/2022 43,786 43,338 42,024 43,493 40,052 212,693 42,538.60 54,776 129%
Cancer
Neoplasms (ALL CANCERS) 1/19/2022 41,557 39,139 37,756 38,889 36,050 193,391 38,678.20 114,645 296%
Malignant Neoplasms of Digestive Organs 1/19/2022 660 654 633 602 704 3,253 650.60 4,060 624%
Malignant Neoplasms of Thyroid & Other 1/19/2022 550 394 369 374 372 2,059 411.80 1,950 474%
Endocrine Glands
Malignant Neuroendocrine tumors 1/19/2022 167 135 98 113 117 630 126.00 440 349%
Testicular Cancer (Amb) 1/10/2022 1,156 1,008 866 880 889 4,799 959.80 3,537 369%
Ovarian Cancer (Amb) 1/10/2022 121 88 73 82 69 433 86.60 181 209%
Breast Cancer (Amb) 1/10/2022 934 810 766 792 766 4,068 813.60 4,357 536%
Malignant Neoplasm of Esophagus 1/19/2022 29 36 35 20 26 146 29.20 261 894%
Mental Health & Metabolic Function
Anxiety (Amb) 1/10/2022 37,011 36,667 36,145 37,762 37,870 185,455 37,091.00 931,791 2512%
Anxiety (Hosp) 1/10/2022 2,478 2,577 2,534 2,666 2,642 12,897 2,579.40 6,496 252%
Suicide 1/10/2022 359 496 530 570 550 2,505 501.00 1,798 359%
Endocrine Nutritional & Metabolic Diseases 1/19/2022 33,140 31,825 30,814 31,504 30,506 157,789 31,557.80 134,053 425%
(Amb)
Disorders of Thyroid Gland 1/19/2022 8,078 7,694 7,357 7,289 6,893 37,311 7,462.20 24,769 332%
Malasie & Fatigue (Amb) 1/10/2022 3,851 3,842 3,832 3,885 3,735 19,145 3,829.00 26,416 690%
Thyroid Dysfunction (Amb) 1/10/2022 8,074 7,696 7,357 7,289 6,891 37,307 7,461.40 22,620 303%
Diabetes Type 1 (Amb) 1/10/2022 1,319 1,167 1,072 1,036 960 5,554 1,110.80 5,269 474%
Disease of Liver (Amb) 1/10/2022 1,994 2,053 2,063 2,234 2,322 10,666 2,133.20 6,187 290%
Narcolepsy & Cataplexy
Narcolepsy & Cataplexy 1/19/2022 995 898 864 830 766 4,353 870.60 2,097 241%
Neuromuscular & Skeletal Systems
Diseases of the Nervous System 1/19/2022 82,435 81,998 81,382 85,012 80,786 411,613 82,322.60 863,013 1048%
Diseases of the Eye & Adnexa 1/19/2022 88,091 87,712 86,417 91,503 79,529 433,252 86,650.40 280,206 323%
Migraine 1/19/2022 15,734 15,714 16,462 17,116 16,331 81,357 16,271.40 73,490 452%
Seizures (Amb) 1/10/2022 196 148 130 150 123 747 149.40 489 327%
Guillian-Bare Syndrome (Amb) 1/10/2022 66 79 71 85 65 366 73.20 403 551%
Exhibit A
Case 2:21-cv-00702-CLM Document 47 Filed 02/16/22 Page 6 of 9
Defense Medical Surveillance System (DMSS) Defense Medical Epidemiology Database (DMED) DoD Data - January 2022
Avg Injuries
Query Total 2021 Percent increase in
Diagnosis or Injury 2016 2017 2018 2019 2020 Per Year
Date 2016-2020 (Partial Year) 2021
2016-2020
Acute Transverse Myelitis in Demyelinating 1/19/2022 46 57 48 35 34 220 44.00 202 459%
Disease of CNS
Demyelinating Diseases of the CNS 1/19/2022 785 737 690 677 648 3,537 707.40 3,444 487%
Multiple Sclerosis 1/19/2022 479 391 367 400 385 2,022 404.40 2,750 680%
Rhabdomyolysis (Hosp) 1/10/2022 216 209 227 222 198 1,072 214.40 440 205%
Rhabdomyolysis (Amb) 1/10/2022 706 696 740 755 669 3,566 713.20 5,162 724%
Eye Disorder (Amb) 1/10/2022 6,044 6,013 5,647 6,312 5,623 29,639 5,927.80 11,892 201%
Extra Pyramidal (Amb) 1/10/2022 1,509 1,474 1,339 1,371 1,338 7,031 1,406.20 3,669 261%
Bell's Palsy (Amb) 1/10/2022 483 462 457 447 450 2,299 459.80 1,338 291%
Cardiovascular System
Diseases of the Blood & Blood-forming Organs &
Certain Disorders Involving the Immune Mechanism 1/19/2022 11,533 11,122 10,851 11,773 11,429 56,708 11,341.60 34,486 304%
Acute Myocardial Infarction (Amb) 1/10/2022 324 370 376 366 372 1,808 361.60 1,650 456%
Hypertension (Amb) 1/10/2022 2,308 2,323 2,363 2,392 2,415 11,801 2,360.20 53,846 2281%
Acute Myocarditis (Amb) 1/21/2022 84 92 116 159 108 559 111.80 307 275%
Acute Pericarditis (Amb) 1/10/2022 535 538 522 531 499 2,625 525.00 850 162%
Nontraumatic subarachnoid hemorrhage 1/19/2022 219 139 134 170 196 858 171.60 640 373%
Pulmonary Embolism (Amb) 1/19/2022 678 701 668 716 968 3,731 746.20 3,489 468%
Tachycardia (Amb) 1/10/2022 845 814 893 903 849 4,304 860.80 2,595 301%
Disease of the Arteries (Amb) 1/10/2022 3,164 2,965 2,938 3,096 2,860 15,023 3,004.60 6,069 202%
Cerebral Infarction (Amb) 1/10/2022 887 848 858 888 887 4,368 873.60 3,136 359%
Reproductive System & Birth
Spontaneous Abortion (First Occurrence) 1/19/2022 2,668 2,532 2,475 2,608 2,404 12,687 2,537.40 2,164 85%
Spontaneous Abortion (All Occurences) 1/10/2022 1,431 1,518 1,493 1,578 1,477 7,497 1,499.40 0%
Congenital Malformations (Amb) 1/19/2022 11,710 11,131 10,456 11,081 10,153 54,531 10,906.20 18,951 174%
Infertility, Female (Amb) 1/19/2022 2,261 2,262 2,243 2,340 2,262 11,368 2,273.60 11,748 517%
Infertility, Male (Amb) 1/19/2022 2,187 2,287 2,037 2,152 1,990 10,653 2,130.60 8,365 393%
Ovarian Dysfunction (Amb) 1/19/2022 862 936 908 945 1,022 4,673 934.60 4,086 437%
Dysmenorrhea (Amb) 1/10/2022 3,104 3,403 3,481 3,943 3,900 17,831 3,566.20 12,539 352%
Vaccine Adminstration
T50.B95A Adverse Effect of Other Viral Unassigned 914 182.80 1,281 701%
Vaccine, Initial Encounter
Exhibit B
Case 2:21-cv-00702-CLM Document 47 Filed 02/16/22 Page 7 of 9
To whom it may concern:
On Monday, January 24, attorney Thomas Renz addressed Senator Ron Johnson and those at
a special five-hour hearing on COVID-19 issues. Renz spoke about alarming increases in
miscarriages, cancers, and neurological conditions based on reports put together by
whistleblowers with access to the Defense Medical Epidemiology Database (DMED).
The Department of Defense (DoD) responded that the increases in rates of illness and disease
reported by Renz were due to a “glitch” in DMED. The DMED was then taken offline for some
time. After DMED was put back online, query reports showed large changes to data queries for
the 2016 through 2020 date range.
Tracking down the glitch reveals an unexplained change of data that can be observed in
Medical Surveillance Monthly Reports (MSMR) published openly online. The May 2021 MSMR
displays annual summaries of major diagnostic categories of ambulatory and hospitalization
reports from 2016, 2018, and 2020. These major diagnostic categories are defined as the
categories with the greatest number of reported events and constitute the vast majority of
medical diagnoses. When comparing the numbers of ambulatory reports to the May 2019
MSMR (which displays summaries from 2014, 2016, and 2018), the totals for these diagnostic
categories for 2016 and 2018 were substantially revised to display increases in all forms of
illness by an average of 17.5% (16.3% after excluding one category called “Other” that included
a change in definition). Presumably these changes took place for all data from 2016 through
2020. Strangely, no such large revisions were made to hospitalization data, which would be
expected if the revisions were due to a large cache of “lost and found” patient reports in which a
proportion of the conditions resulted in hospitalization.
A review of the past decade of MSMR reports show a small handful of revisions larger than 2%,
with nearly all changes in summary data far smaller than 1%. No major systemic data revisions
were observed prior to the May 2021 MSMR. At the time of this report, no explanation was
given for the massive changes in health data that would surely affect biomedical studies on
these diagnostic categories. Best practices would dictate a detailed explanation for large and
sudden changes---particularly as it pertains to one of the world’s most important medical
databases. Further, the changes in all but one of the 16 major diagnostic categories fit the
changes observed from queries performed after the DMED was put back online, purportedly to
fix the “glitch”. This leads me to believe that the DMED “glitch” clearly corresponds to the large
revisions that appeared in the May 2021 MSMR.
Further, and perhaps more disturbing, the data revisions are not randomly distributed as one
might expect of “lost and found” reports added to a system, or many methods for recalibrating
report definitions. These revisions are most prominent in the categories most heavily
researched as injuries or adverse events associated with the COVID-19 quasi-vaccines,
including those that Renz spoke about in the January 24 hearing.
There are enough signs to conclude with a high probability that the large-scale MSMR revisions
published in May 2021 and associated DMED alterations made in January 2022 were made to
mask illness data from early 2021 associated with vaccine rollouts, and likely fraudulent. An
examination of the data should quickly reveal whether this is the case.
Exhibit B
Case 2:21-cv-00702-CLM Document 47 Filed 02/16/22 Page 8 of 9
I, Mathew Crawford, declare under penalty of perjury, pursuant to 28 U.S.C. §1746, that the
foregoing facts are true and correct.
Respectfully submitted this the 16th day of February 2022.
Mathew Crawford
Statistical and Data Analyst
Exhibit C
Case 2:21-cv-00702-CLM Document 47 Filed 02/16/22 Page 9 of 9
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