Biology Now, 2e

(Ben Green) #1

30 ■ CHAPTER 02 Evaluating Scientific Claims


SCIENCE


a meta-analysis (work combining results
from different studies) of five cohort studies—
observational studies of a group of people over
a certain period of time—involving 1,256,407
children. The researchers also looked at five case-
control studies—studies comparing patients
with a disease to those without—involving
9,920 children. The data showed no relation-
ship between vaccination and autism, autism
and MMR, or autism and thimerosal (a mercury-
containing preservative in some vaccines).
The work, published in the journal Va cc ine,
included data from the United States, United
Kingdom, Japan, and Denmark on vaccines
for measles, mumps, diphtheria, tetanus, and
pertussis.
Many more peer-reviewed studies with good
control groups and sufficient sample sizes,

children. Instead, the subjects were picked
specifically for their symptoms. Third, the
study did not have a control group, such as
children who had been vaccinated but did
not show signs of autism, or children who had
autism but had not been vaccinated. Finally,
and most important, the finding could not be
repeated. In fact, as of October 2016, at least
110 published papers, studying millions of chil-
dren, have found no evidence of a link between
vaccines and autism. Vaccination does not
cause autism, and the two are not even directly
correlated. In fact, studies first published in
March 2014 provide evidence that autism
begins in the womb, before birth.
In one of the most recent papers, research-
ers at the University of Sydney in Australia,
who stated no conflicts of interest, performed

Evaluating
Scientific
Claims

CREDENTIALS:


Does the person
making a scientific
claim have a PhD
or MD? Is the
degree in the field
in which the claim
is being made?

PEER REVIEW &


PUBLICATION:


Has the claim been
reviewed by
practicing scientists
and published in a
reputable scientific
journal?

BIAS or AGENDA:
Does the person
making the scientific
claim hold a belief
that will be supported
by the claim? Does
he/she stand to make
money if others
accept the claim?

REAL SCIENCE or
PSEUDOSCIENCE?
Does the scientific
study purporting
to support the
claim meet the
standards of
the scientific
method?

Figure 2.8


Evaluating scientific claims
We are constantly bombarded with scientific claims. A few simple questions will help you evaluate which
of these claims are valid and which are not.

Q1: Why is it important to know the education and expertise of a person making a scientific
claim?

Q2: List at least five possible biases that people making scientific claims might have.

Q3: Describe a situation in which you might not dismiss the scientific claim of a person who did
not have appropriate credentials, or who had a bias toward the claim.
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