serious black and white issue?
have asked the following question of
over 500 people, chosen at random.
scientist lie and manipulate the data
they report in their publications?"
of those asked this simple,
all important, question have answered
they say "Everyone
lies, its just commonsense."
They might add. "Scientist
are not any different than anyone else."
They do it to be first, to get
funding, to --etc. etc.. all
common sense reasons.
Don't believe it?
Ask the same question your
self. Then just listen don't
argue. Just listen. The Grand
Majority are trying to tell us
something! Even 50% would be too
great a number in this single simple
issue! Who cares? Is this
important? Read on and debate the
point? That is science isn't it?
Galileo. He knows and
he is still out there every day
every hour teaching each and
everyone of us who care about
science about science..
So What are suppose to
do about this trust issue
we need to recognizing that the trust issue
is a major problem and that our current
methods are not solving it . There
that all of the methods
used so far are failing us.
Second; Consider teaching
about science without
science to the Grand Majority.
We all should consider starting
the development of stronger more practical methods, of
emphasizing to the grand majority how
honesty and trust issue are carried out and
why and how successful they are.
We should look into how we are doing what we
are doing So we can do better in what
we are doing. and that is teaching science to the
Who are the grand majority? Why are
they so important?
First; The grand and great majority are not as interested
in science as we are. They in the larger
world of doing the all the things that have
to be done day after day, week after week,
year after year. etc. after etc..
Second; The grand majority (a guess
of about 6 billion people) are the all powerful
because of their the greater numbers.
Third; The grand majority still don't
trust science (again see the links above
again for the data).
Forth; and most important They pay
most of the cost [$]
of science which ultimately determines its
state of health and our fate.
Each of us in Science, especially those
teaching science, demonstrating it, and as
parents teaching it to our children tend to
believe that we have done all we can do to
teach our children and the average folk to
have trust in Science. To do this many of
us have used some version of the
scientific method to help in this task.
Coupled with also show our students and
visitors more of the wonders of science.
Alarmingly most of us don't know the
magnitude nor seriousness of this lack of
trust or even the true nature of the
problem. Yes there is always some
discussion about it and we try to fix it by
showing our students more and more of the
wonders science. Yes this is good.
How good is good? Look again at the links
above. Is it time for each of us in science
--teaching or doing it Ė recognize the
problem and try new ways of solving the it?
How are we to convince the general public
that the work of basic science can be
trusted and why? look again in the
preceding links for more insight into the
Letís start with how we presently describe
to students how science needs to verify
results. This certainly should help build
trust in the work of science and is an
important component in teaching them with
the scientific method.
Depending how itís done may be the key to a
solution to the trust problem? Consider how
we do it. Don't we over use words like
"phenomena", "hypotheses", "empirical",
"formulation", "etc." - words seldom found
in every day conversation. They often serve
to make the scientific process sound very
complicated and hold people at bay rather
than draw them in
We could ask our teaching institutions to
use common sense examples and non
scientific terms to describe how scientists
maintain honesty among themselves in their
work by the self correcting process that the
scientific method imposes .i.e.. Is science
like a symphony orchestra when a musician
plays sour notes. That player is booted
out with good riddance. A scientist who lies
about his data is quickly found and
banished from his profession. Maybe a poor
try but you get my point.
Most important! We need to address
this trust issue with increasing
frequency because of the seriousness of the
issue. Perhaps using standard "commercial"
methods of communication can give us a
better chance for enlightening folks to
trust and the value science and perhaps even
use its methods in their everyday lives.
There is a lot of fertile untouched
ground here for each of us to
developing a variety of commonsense examples
to demonstrate the framework within which
science works that filters the true and
To do this One does not need to have a firm
grasp of string theory etc. to do this job
but one has to have a firm and common sense
grasp of why scientists cannot lie about
their data. We can use these examples to
build a stronger case for trust between most
folks and science. As we find these
examples we should develop and share them.