Studies Show. . . .
Editor's Note: There has been a page on
our site called "Studies Show" for years. We thought it was about
time to re-write it for a number of reasons. We hope you enjoy it.
There's a lot here to learn and even more to ponder.
It seems that everyone everywhere on some occasion wants to prove
something to us. We are bombarded with commercials telling us that
this phone plan is cheaper than that one, followed by a commercial
from a competing company that tells us the exact opposite. Coke®
wants us to think their cola tastes better than Pepsi®, and Pepsi®
wants us to think its product tastes better than Coke®. Our
government wants us to believe all sorts of things, that it is in
charge, that we are all free, that our best interests and safety are
its prime motivation. And Science (with a capital "S") is constantly
proving that our previous generation of thought was, if not slightly
off, completely inaccurate.
I recall the words of an old and wise professor when I uttered the
term "scientific proof." He quickly, but tactfully, pointed out that
the true scientist never uses the word prove, for the true scientist
realizes that s/he can demonstrate something only for the moment,
and that in the future, someone might discover a method of
demonstrating the exact opposite, or at least, something quite
The word “prove” to a scientist means something completely different
than to a lay person.
And here is how that is best explained. You’ve all heard the phrase,
“The exception proves the rule.” And I’ve heard a bunch of ways that
phrase is explained by lay people, all wrong, of course.
You see, when that phrase was coined, the word “prove” meant
something different from today. It meant, “to test.”
Thus, when an exception proves the rule, what is meant is that the
exception “tests” the rule.
Hierarchy of Evidence
You could look this up, but most of you who’ve not studied
statistical analysis won’t get much out of it. I have studied this
field, but because of my brain damage (from PTSD), I’m now horrible
at math. The thing is, I still remember key points in statistical
analysis, and if I can understand them, then I’m pretty sure I can
explain them to you.
We are going to work our way from the lowest (least trustworthy) to
the highest (this you can believe). However, I want you to stay
flexible enough to realize that exceptions exist all around us and
that the qualification of what we can be sure of is never quite
enough to be absolutely sure of.
In other words, only very studied individuals realize that they know
nothing at all, while the masses are often too stupid to realize how
stupid they are.
As Einstein said, “Whoever undertakes to set himself up as a judge
of Truth and Knowledge is shipwrecked by the laughter of the gods.”
What we know now to be true can always be shown to be only partially
true in the future, given future findings. What we learn by
experiment are limits, and, as Einstein also said, “Once we accept
our limits, we go beyond them.”
The question, “Of what can I be sure?” has to be answered by
constantly questioning. Whenever I engage in a discussion (argument
in the highest sense), I often run into people who’ve never
questioned their basic belief system, thus I realize that no matter
what conclusions they arrive at, they will never really know if they
are right or wrong, but will always assume they are right.
The path to knowledge begins with doubt, but where that path will
lead and where it will end is determined by our creativity, not by
our education. Education is like a flashlight; it shows us the way.
But ask anyone who’s dealt in breakthrough science and they’ll tell
you that intuition and imagination are your greatest tools, though
most important is to never stop trying.
8. Direct Observation
This is the least trustworthy because of the huge variable called
“the observer.” An observation is very subjective. Two people can
witness the same event and yet report it completely differently.
The classic study on this is called “They
Saw A Game — A Case Study.”
To sum that study up, people from both colleges were asked about the
game and their responses showed a huge difference, which the
researchers called: “selective memory.” Yet it was more than just
memory; it involved what they saw and how their subjectivity
determined what they saw.
From another angle, we can view the art of observation as what
oriental philosophy refers to as “The Tao.” The Tao was the world’s
first science, and it was the science of observation. There are many
translations of the Tao, but the best I’ve found is: “The Way,” or,
“The Way of All Things.”
We look at direct observation as the least trustworthy, but over the
centuries, four to five centuries, the Tao grew into a system of
medicine that has worked quite well for the Asians.
Without the high-tech of today, they were able to find and map the
meridian system of energy; able to read that energy, and modify it
through manipulation, diet, acupuncture, and qigong.
Through centuries of observation, the Tao was molded and shaped as
they observed the nature of things and the things in nature. Because
this system has been in place for thousands of years, you can pretty
much be sure that they’ve gotten a few things right, because, let’s
face it, if something isn’t working, it doesn’t take a thousand
years to notice it’s not working and to change it.
Focusing on the “life force” or, energy, Traditional Chinese Medical
practitioners never studied cadavers, because cadavers contained no
life force. However, when introduced to Western Medicine principles,
they quickly picked them up and added to their own medicine those
things that they could see were working and advantageous. This
attitude is very much unlike that of the Western mindset that looked
down upon their practices as primitive and superstitious without
bothering to investigate.
“There is a principle which is a bar against all information, which
is proof against all arguments, and which cannot fail to keep a man
in everlasting ignorance—that principle is contempt prior to
investigation.” Herbert Spencer
Today, because we’ve actually tested parts of TCM, Westerners are
beginning to accept bits of this ancient wisdom that were brought to
us through simple “direct observation.”
7. Case Report (Case Study)
Note that this is in the singular. Case Studies, or as they’re
referred to by the scientific community, Case-Control Studies, are a
bit different and we’ll talk about them later.
Case Reports are often referred to as anecdotal. Being anecdotal,
people who think they are being “scientific” tend to write them off,
but yet they exist for very substantial reasons.
They are used in sociology, psychology, and medicine. They tend to
point out exceptions and anomalies, and give therapists an insight
into treatment options. The study listed above, “They Saw a Game”
was, as you noted, a case study.
From the British Medical Journal, here is a list of the types of
case reports they have published:
- Findings that shed new light on the possible pathogenesis of
a disease or an adverse effect
- Global health
- Learning from errors
- Medical student electives
- New disease
- Novel diagnostic procedure
- Novel treatment (new drug/intervention; established
drug/procedure in new situation)
- Other full case
- Rare disease
- Reminder of important clinical lesson
- Unexpected outcome (positive or negative) including adverse
- Unusual association of diseases/symptoms
- Unusual presentation of more common disease/injury
Even though these lack statistical sampling and controls, case
studies have been admittedly useful in research and in
Guidelines are continually being developed and modified for
reporting case studies in journals because too many being published
could disturb a publication’s reputation and the publication of a
sloppy study could completely destroy a reputation.
Finally, there are quite a few very famous case studies, such
Fredrick Treve’s report on “The Elephant Man” or even Christiaan
Barnard’s world’s first heart transplant.
6. Cross Sectional Surveys
This is probably the geekiest of all of these since this involves a
lot of statistical analysis. They exist to sort the variety of
causes of a thing (especially in economics) and to rule out
variables, while discovering which variables are independent and
which are dependent.
In Medicine, the cross sectional survey exists to provide data on an
WikiPedia we get: “Cross-sectional studies involve data
collected at a defined time. They are often used to assess the
prevalence of acute or chronic conditions, or to answer questions
about the causes of disease or the results of intervention.”
Of course there are advantages and disadvantages though this one
really should be left to sociology and economics because in medicine
you’re never really sure of your results, and little, if anything
translates, into the cause of an illness or patient care.
So we’ll leave this one right here.
5. Case-Control Studies
These are much like the previous, except instead of discovering
something about the general population, a case-control study
involves individuals with a specific characteristic compared to a
small sample from the rest of the population. In medicine, a case
control study would compare a group of people with a condition to
people without that condition; however, both groups have a lot in
Here is probably the best example:
One group has lung cancer. Another group doesn’t have lung cancer.
Each group contains smokers. If there are more smokers in the lung
cancer group, then you have shown (but not conclusively) a
“possible” connection between smoking and lung cancer.
Proving cause is the hardest thing in medicine, especially when
corporations don’t want us to associate their product with death and
4. Cohort Study
This is my personal favorite. Why? Because with the advent of
artificial intelligence, relationships and findings come out of
cohort studies that are totally unexpected and could never have been
found by mere humans examining the data. Artificial intelligence is
the original “way out of the box” thinking.
In fact, AI (artificial intelligence) has come so far that there are
AI programs for your spreadsheets. These programs will show you
relationships and conclusions that you and your business partners
would have never seen even if you stared at your data for months.
The word “cohort” means a group of people banded together with a
common characteristic or common experience. But this definition is
loose. For example, Baby Boomers and Millennials could form two
cohorts. Take Baby Boomers and Millennials with Multiple Sclerosis,
and you have another cohort.
You could, if you wanted, expand the cohort to include all living
humans, or those who showed up for testing. It can be a pretty loose
Cohort studies are used in medicine (and nursing), the earth
sciences, insurance, business, psychology, and sociology. What they
do is gather lots of data to find patterns.
Insurance companies know your odds of getting lung cancer, or
bladder cancer, or kidney cancer based on where you live (from
cohort studies using your location to form the cohort). Businesses
determine their best audience (using data collected from cookies on
your computer and Google searches). You belong to many, many cohorts
once you go online, i.e., people who use Google, people who use
social media, people who purchase online, etc., etc., etc.
Cohort studies are like case studies, but with a lot of people.
They’re somewhat like cross-sectional surveys in that they too go
thru a bit of statistical analysis, though, in the hierarchy of
evidence, they are not considered the end-all, know-all, because of
biases and because data is collected from human beings whose
memories are untrustworthy, and other factors that cannot be
However, take it from someone who has read hundreds of cohort
studies, if you write them off, you’re missing the point of them.
It’s only the “sticklers” who look for a study’s faults without
considering the “nearly magical” findings. Let’s face it: in the
history of medicine, accidental discovery has shown itself to be
just as valid as difficult, unceasing work. And the things cohort
studies have found, through the use of AI, are mind-expanding.
I could list some fascinating findings of cohort studies for hours,
but here are just a few highlights:
- In 1994, the National Cancer Institute released a bulletin
stating that hot dogs have been directly linked to childhood
leukemia. (Our school systems still serve hot dogs.)
- The Mediterranean diet was linked to longer lifespan and
- Multiple sunburns as an adolescent showed increases melanoma
risk by 80%.
- Tinnitus was found to be less common in women who drink more
than two cups of coffee per day.
- Eating nuts every day was linked to prolonging life.
Here are some very
British Doctor’s Cohort Study — conducted from 1951
to 2001, though by 1956, it pretty much concluded that smoking
caused lung cancer.
Framingham Heart Study — we’ve talked about this
one a lot. It’s the largest running heart study ever. It started in
1948, and initial findings linked hypertension and high cholesterol
levels to heart disease, though later it would discover that high
cholesterol was a symptom and not a cause, but that didn’t seem to
get out because the sugar industry was paying off universities to
blame fats for cardiovascular problems and not the inflammatory
nature of sugar. The study is still continuing, only today its focus
has expanded to include cancer, arthritis, dementia, osteoporosis,
and hearing and sight disorders.
Nurses’ Health Study — one of the drawbacks of
cohort studies is the cost and the trouble of gathering huge numbers
of subjects together to fill out questionnaires. But like the
British Doctor’s study (above), nurses too are accessible, and
giving them a bit more paperwork doesn’t seem to be a problem.
(Where’s my sarcasm font?) This particular study started in 1976
continues on today and is one of the best studies ever to
investigate risk factors for chronic diseases in women.
Physicians’ Health Study — just like nurses, we’ve
got a captured audience (subjects) who just need to fill out a bit
more paperwork. This started in 1983, was modified Physicians’
Health Study II, and ended in 2007. The conclusions were that
supplementation (they used horrible supplements, many synthetic) of
general vitamins did, in fact, significantly reduce the risk of
cancers (in general). [Jama,
November 14, 2012 ]
The drawbacks to cohort studies are that they are expensive, they
take a long, long time to conclude, are worthless in cases of rare
diseases or sudden outbreaks, and though they can find clues as to
the origin of an illness, they are not definitive proof.
However, in many cases they are more ethical than Randomized
Controlled Trials, as you will see.
3. RCTs (Randomized Controlled Trials) with non-definitive
2. RCTs with definitive outcomes
I’d figure I’d better put these two together since they’re both RCTs
or what many call double blind, randomly controlled studies, and
sometimes there is added “with cross-overs.”
However, some RCTs cannot be double blind for a number of reasons.
For example, let’s say one group gets a drug and the other group
gets a placebo. If the drug has an odor to it, and the placebo does
not, it’s hard to keep the researchers administering the drug in the
dark, so only the subjects are unaware of which group they’re in,
and this makes it simply a “blind” study.
Sometimes an RCT is called double blind with cross-overs. A
cross-over is a person in the control group, who after a designated
period of time, will suddenly be crossed over into the experimental
group, usually without the observers or subject knowing about it. In
this way, we get even a better look at how a specific medicine or
procedure works and, if the drug/procedure is successful, the
control group gets it too.
Concerning the two different outcomes, definitive and
non-definitive, 99.99999999999999% of you won’t give a toot as to
the mathematics behind determining them, but I must bring it up.
I’ve been sent studies by people wanting to sell me stuff and in the
old days, before my brain damage (from PTSD), I loved statistical
analysis, and I would write back that the study they sent me was not
definitive. I lost a few readers back then because of this.
Today statistics are just jumbled numbers to me. To get a grasp on
any particular study, I have to pass it onto friends who still work
But I am going to “try” to sum up the difference between these two
in an oversimplified nutshell.
A study has what’s known as a confidence level or confidence
interval. According to Wikipedia, “Confidence
intervals were introduced to statistics by Jerzy Neyman in a
paper published in 1937.”
This sort of thing means, for our discussion here, “We are 90%
confident in our outcome.” That would be a confidence interval.
And next I have to introduce you to threshold and uncertainty. In
polls, they call this a “margin of error.”
Look at a threshold as a detection limit; what it takes to “detect”
a “thing,” the “thing” a study is looking for or it’s “quantitation”
limit. (You can substitute quantification for quantitation if you
wish.) This is just being able to “count” something, or one could
say, it’s “big enough to note” or, of course, “it’s significant.”
Thus, a study that is deemed non-definitive is one in which the
“confidence intervals” overlap the clinically significant threshold.
If they don’t overlap, then you’ve got yourself an RCT with
That’s the determination in a nut-shell. If you don’t understand,
don’t worry. There won’t be a test.
The RCT is considered the gold standard in what we
know we know.
It’s pretty easy to see the advantages of this sort of study. It
tries to eliminate all those factors that would invalidate a study,
such as human error or human prejudice. But still, there are
The first is the Uncertainty Principle. Anything that
happens in an experiment does not necessarily have to translate into
real life. This is just something every scientist has to put up
with. The observer affects the observed.
Next is “conflict of interest.” Conflict of interest can affect a
study very subtly, from the methodology to the statistical analysis.
One final note on RCTs is they are considered unethical if they kill
off the control group.
For example, you have in your study people with cancer. You give the
experimental group the new drug and you give your control group
sugar pills. You are, in effect, killing off the control group.
Believe it or not, this was once standard practice.
There are ways to get around using a control group which usually
involve creating a theoretical group based upon data
collected in the past. A theoretical group can always be created
from past data. We know what happens to people who have stage four
cancer and take sugar pills. We don’t have to kill cancer patients
to know this.
One more thing we should point out. Small studies get published
quickly in our media because journalists are dying to write about
something of interest. However, most initial studies are taken way
too seriously by the masses.
A good RCT requires a huge sampling and just as huge controls.
And that leads us to our final stop at the top of the hierarchy of
how we know what we know to be true.
1. Meta-analyses of RCTs with definitive results
These analyses (this is the plural of analysis) take a whole bunch
of RCTs and put them together to make a grand statement.
When everyone’s findings agree, then we can be sure that we’ve
arrived at some sort of truth.
Let me ask you: Once a meta-analysis is published, does that put the
subject to rest?
Not when you live in a corporatocracy. If your studies show that
glyphosate (Monsanto’s Round-up) is carcinogenic, you’ve not proved
anything as far as Monsanto is concerned. They’re going to come at
you with everything they’ve got. And just as I finished writing this
paragraph, I discovered that the World Health Organization has just
released a study showing that glyphosate is not carcinogenic.
Now what are we really to believe? First they publish that
'Probably Carcinogenic,’” and then they publish “Glyphosate
unlikely to pose risk to humans.” Which are we to believe, and
why the sudden change?
One thing I know I’ll never forget are the seven CEOs in the tobacco
industry testifying before
congress saying that nicotine is not addictive. These executives
lied, bold faced, before congress, and got away with it without even
a slap on the wrist.
Bobby Kennedy Jr edited the book, Thimerosal: Let The Science
Speak. We’ve been told there was no connection between vaccines
and autism for the longest time, but the industry finally removed
thimerosal from its vaccines. This book is a meta-analysis of all
the studies on thimerosal. Is it accepted today as being fact? Not
on your life. They can remove the mercury, but they will battle for
years that the studies were cherry-picked, that the studies in the
book were invalid, etc., etc., etc.
This paper is about to get deeper into the battles and the outside
influences on both studies in general and how studies are reported.
But first our conclusion.
So, there you have it: the Hierarchy of Evidence.
All of these methods have been used to determine the truth, but not
everything can be put into a laboratory or made into an experiment.
Sure, parts of certain things can be tested, but sometimes one has
to rely on mathematics to come to a conclusion or extrapolation.
Let’s face it; Einstein’s theory of Relativity could not be tested
in a double blind study. Mathematically it was sound, given the
premise, but to truly test it, its predictions had to be tested.
You see, Einstein described gravitation quite differently from his
predecessors. He said that space was curved near a mass, and the
greater the mass, the more pronounced the curvature of space around
it. Thus his theory predicted that as the sun passes through the
heavens (actually we’re moving, but “relatively” speaking, the sun
appears to be moving), the light from stars should be seen along
that curvature of space, thus appearing closer to the sun than they
actually are. The only problem is that we can’t see the light from
stars when the sun is out – with one exception: during a total
eclipse. So in 1919, during a total eclipse, photographs showed that
Einstein was correct; hence his theory “proved” to be sound.
I put quotation marks around the word “proved” for a reason. People
use it quite loosely today, but as I pointed out at the top of this
paper, scientists don’t. They know that nothing proves anything in
today’s vernacular, because tomorrow we could learn something new
that blows all that previous stuff away.
The word “prove” to a scientist means to test.
Testing is important, but not all things can be tested in a double
blind, randomly controlled study.
Neil DeGrasse Tyson says, “The good thing about science is that it’s
true whether or not you believe it.”
But not so fast there, Prof. Science isn’t always
“true” or in fact, “correct.” Tyson’s field happens to be one that
is the least influenced by money, but it’s also a field in which
what we know and accept today isn’t written in stone, and can, with
new evidence, be shown to be inaccurate tomorrow.
At one time it was thought by the scientific community that the
planets’ orbits around the sun were circular. Today we know them to
And it wasn’t long ago that we discovered that the distances to
stars, galaxies, and all those things were a bit off because of a
mathematical error that went unnoticed for years. And most recently,
October 2016, we learned that
the universe has almost 10 times more galaxies than previously
So, obviously, Tyson’s quotation has to be taken with a grain of
Celtic sea salt.
Those of us who’ve actually studied epistemology, the study of how
we know what we know, know how wrong we’ve been in the past and that
the ultimate truth is always something we are working toward. Every
discovery just brings us closer, and the truth is not the ultimate
goal but a journey.
However, that journey is for the philosophers, not for real life. In
real life, we have to know that a physician has the skills to repair
an aneurism, that the rocket on the launch pad will actually make it
into space without killing everyone involved, or that a traffic
computer will control street lights in such a fashion as to relieve
some of the congestion and not screw up, creating 4 and 5 hours
delays. We have to rely on the engineers who’ve taken the whole of
collective knowledge in some subjects and refined it all down to a
simple click, followed by the results expected and desired. A
reality in flux is a difficult one to live within. We need
So now that you know how we arrive at the “truth,” it’s time to show
you how we arrive at the truth corporate America (with the help of
the FDA and a lot of pseudo-scientific organizations) wants us to
How Big Money Screws With the Truth
First off, destroy the competition. Our article,
Health Care for Dummies is one of the most important articles at
this site. It took years of research to write, and it is all about
how medicine in America became a monopoly.
The final straw, as they say, was in 1962 when Pharm Industry
Lobbyists pressured congress to pass the Kefauver-Harris Drug
Amendments, which basically raised the cost of “proving” a drug to
billions of dollars.
Nobody is going to spend a billion dollars (actually today it’s much
more) that can never be recouped, proving a plant that grows along
the side of the road can cure something.
This is how you screw with the truth.
Sure, small studies can show that cannabis kills cancer cells, but
the FDA requires a lot of studies that can cost upwards of 5 billion
dollars, and ironically, the cannabis industry might actually be
able to compete in the arena, but the FDA and pushback from the
Pharm Lobby can make sure these studies are never completed.
There is a substance used in a local burn unit in the Twin Cities (Mpls/St
Paul) called Willard Water (see article below). It’s amazing on
burns, but the FDA refuses to test it. The inventor was told (off
the record by a representative of the FDA) that even if it passed
testing, it would not pass.
Conflicts of Interest
I point out conflicts of interest at this site at a number of
places. Here’s just one example we’ve posted:
An ABC news report from June 12, 2002 illustrated this problem when
it revealed that drug studies funded by the pharmaceutical interests
have a 90% chance of showing effectiveness, while studies funded by
sources outside the industry have only a 50% chance of favorable
results. [McKenzie J. Conflict of interest? Medical journal changes
policy of finding independent doctors [transcript]. ABC News. June
One reason I love to repeat myself is that you would never think a
news program would publish this sort of thing because news programs
are financed by advertising, and it’s during the news hour that
pharmaceutical companies do their most advertising. You don’t often
see this “biting the hand that feeds it.”
But it is specifically this conflict of interest that keeps us from
ever getting to the truth about anything where there are huge
profits (or losses).
95% of scientists agree that global climate change is not only real,
it’s here. And they all agree that humankind has a hand in this.
The problem is, the money in the energy industry (oil, coal, gas)
influences think tanks and opinions and many people buy into their
conclusions that it’s all a conspiracy theory.
I’ve heard from an individual that he’ll believe global climate
change is real when 100% of scientists agree.
The thing is, in the world of science, a 95% agreement is, in
reality, a 100% agreement because there are always those who,
because they’ve been paid off, will disagree with the rest.
Now there are parts of climate change that scientists disagree on.
This is science. There are always parts of any agreement within
which there will be dynamic debates. Those engaged in these debates
do not disagree overall, but they do argue points. There is always a
better way to gather data or a better way to extrapolate the data or
subtle conclusions that some overlook. This is the nature of
epistemology. We learn not by agreeing, but by a vibrant
conversation between researchers.
For example, in evolution theory, there are those who disagree with
the conclusion that the mechanics of evolution are 100% mechanical.
Some, looking at the math, feel that “randomness” just is not the
answer; that evolutionary changes happen way too often for the
changes to be random.
Sure, both groups have labeled the opposing groups with fun names,
like “whackos” or “nutty,” but they don’t call them “science
Excuse the digression: Additionally, if you study the history of
science, you’ll learn that science is very conservative. It does not
accept new ideas, concepts, and solutions easily. That, however, has
changed over the years and scientists are readier today to accept
It’s only in the realm of “vaccinations” that if you ever question
anything about vaccines, you are called a science denier. Robert F
Kennedy Jr vaccinates his family, but still, because he edited the
book, Thimerosal: Let The Science Speak, he’s called an
anti-vaxer; a science denier.
Do you remember from above that the only thing “higher” than the
gold standard RCT (Randomized Controlled Trial) was a meta-analyses
of many RCTs with definitive results? Kennedy’s book is exactly that
and because of the almighty dollar, he’s been attacked endlessly.
The moment he says he’s not an anti-vaxer, trolls say, “Yeah, yeah,
all anti-vaxers claim they’re not anti-vaxers.”
Because of the huge influence of money, we will never get to the
truth surrounding vaccinations. That truth is that, with better
research, less influence of money, and objective trials, we can make
them safer and more effective. But that is not the goal of
pharmaceutical medicine despite a popular opinion that it is. The
number one goal of pharmaceutical medicine, especially in the US, is
There’s a saying among those who work with addicts, especially at
the treatment centers here in Minnesota (we seem to be the Mecca of
Treatment Centers), that you can’t drop something you’re not
If you don’t admit you have a problem, you can’t solve the problem,
or another way of saying this, you can’t solve a problem you don’t
Even the Journal of American Physicians and Surgeons came under fire
when they published this article:
Childhood Vaccines at One Visit Is Not Safe.
There are just some things we will never know because the moneyed
don’t want us to know, they’ve got enough money to keep us stupid,
and for them, there is no problem.
And one last thing: Polls.
Few realize that the outcome of polls is determined by the questions
Take this image from PBS.org:
The results of the first question tell us that at
least 88% of scientists feel GMOs are safe to eat. The question did
not mention glyphosate. Just GMOs. If the question had been, “Is
corn that is drenched in glyphosate safe to eat?” you’d get a much
And the question on childhood vaccines just shows us the difference
between the actual science behind vaccinations and what people hear
on the web or from friends.
But wouldn’t it have been interesting to ask these “scientists” how
they feel about the safety and the testing of vaccinations, the
conflicts of interest in testing, or even the heavy schedule of
vaccines delivered at once to a baby with a rapidly forming immune
Polls are determined by the questions asked, and if you don’t know
the questions asked, the outcome of the poll isn’t complete.
So, going back to our title: Studies Show, it
should be obvious right now that studies show exactly what the
moneyed people behind the studies want to show; that with enough
money, we can show that up is down, right is left, and the water in
Flint, Michigan is potable.
Does this make us anti-science? No, it makes us aware that conflicts
of interest determine outcome, and it makes us just a little more
Never be afraid to question.