W
HAT IS SCIENCE?
1. A BODY OF FACTUAL KNOWLEDGE about the natural world.
2. The PROCESS by which this body of knowledge is gained and modified:
The search for truth about the natural world.
This process embodies a PHILOSOPHICAL SYSTEM of logical thinking and
actions to determine natural realities and their underlying mechanisms.
INCLUDES
- Observation
- Deductive & Inductive reasoning
- Experimentation
- Conclusion
- Communication
REQUIRES
- Prior knowledge of facts
- Curiosity
- Skepticism
- Imaginativeness
- Open mind (ability to overcome bias)
- Precision and quantitative rigor
- Understanding of probabilities and
variation
THE SCIENTIFIC PROCESS
INITIAL OBSERVATIONS
& prior knowledge
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Inductive reasoning
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V
HYPOTHESIS
Statement of general relationships & causal mechanisms
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Deductive reasoning
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V
PREDICTION
Specific testable expectation
"If...is true, then...should happen when...is done."
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V
EXPERIMENT
appropriate controls, elimination of bias,
statistically valid sample sizes
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V
RESULTS
Negative: falsifies hypothesis (proves it wrong)
Positive: supports hypothesis (but does not necessarily prove it true)
EXPERIMENTAL
CONTROLS
--In any experiment to investigate the effect of a particular
treatment or other variable on a group of subjects (e.g. in the case of
biology, on a population of cells or organisms), there must be a control
group in addition to, and identical to, the experimental
group.
--Both groups must be subjected to all of the same experimental
conditions except for the specific variable to be tested.
--The purpose of the control group is to account for any
unexpected "side effects" of the experimental conditions not caused by the
test variable, that could be mistaken for, or mask, the effects of the
test variable.
For example, to test the effects of a new drug on a group of mice:
Experimental group
The drug is injected hypodermically in a saline solution.
Control group (same age, raised under identical conditions)
The same volume of saline is injected without the drug in the solution. This
controls for any effects of the injection process or the saline vehicle.
BIAS
What is it and how do we deal with it?
Bias is
- a preference or inclination that inhibits
impartial judgment; i.e. prejudice
- a preconceived idea of how things work or
are causally related to each other
- an expectation based on prior knowledge or
experience
Bias may be
- incorrect, i.e. unjustified, based on
erroneous information
- correct, i.e. justified based on probability
(however, rarely will be correct for 100% of possible cases)
Bias is difficult to eliminate (and some is justified), but
for conducting proper science (and fair citizenship),
bias (no matter whether it is correct or incorrect) must be
- recognized
- prevented from influencing further
observations
Manifestations of bias in science
- deliberate - discarding unwanted data;
falsification, etc.
- inadvertent - subconscious leaning toward
expected results when making observations, measurements etc. (requires
"blind" techniques, e.g. code numbering samples with treatments
unknown to operator)
GOAL FOR ELIMINATING OR CONTROLLING BIAS :
Equal opportunity for every observation to be seen for what it really is, not
what it is expected to be.
EXPERIMENTAL ERROR & PROBABILITY
--There is some degree of randomness in the movement and /or behavior of
matter at all levels of organization, and therefore some degree of
unpredictability in this behavior. Therefore,
1. 100% results can rarely be expected or obtained, and random variations can
be large enough to cause erroneous conclusions or obscure real "treatment"
effects.
2. One must be able to know or determine what portion of the results can be
expected and explained on the basis of random "error". This is a form of
"experimental error", but it is not in itself a mistake committed by the
investigator.
--Accuracy and precision of measurement technique must also be known
(i.e. degree of "sloppiness" of data gathering). This form of "experimental
error" can include investigator mistakes, and also must be accounted for.
--Knowledge of and ability to use statistical techniques is essential
for doing good science (or any other use of quantitative information),
and for judging the quality of otherís work. It is necessary for many aspects
including
1. Experimental design; sample size, etc.
2. Revealing data variance
3. Properly determining level of significance of apparent differences between
data groups
THE TRUTH
TABLE
| If a hypothesis is ... |
Results of testing its
predictions |
|
|
| TRUE |
always be
positive
[Thus one negative result will prove a
hypothesis to be false.] |
| FALSE |
be
negative for some or all predictions, but
may be positive for one or more predicitions.
[I.e. a hypothesis can be partially
true, under some but not all circumstances.)
[Thus one (or some) positive result(s) do not
necessarily fully prove a hypothesis
to be true.] |
Because of the above relationships, the following governs the progress of a
scientific endeavor:
--Hypotheses that are of any use or importance must be testable, i.e. must
generate predictions that can be shown by doable experiments or
observable phenomena to falsify the hypothesis (if it is in fact false).
--Limited testing with positive results will support, but not prove, a
hypothesis.
--Extensive testing by many investigators with all positive results can
elevate a hypothesis or set of hypotheses to the status of general
theory.
An hypothesis (or theory) found to be false under certain circumstances can be
modified and restated (and of course retested).
CORRELATION vs. CAUSATION
Correlation - Two or more phenomena that regularly occur at the same
times and that vary quantitatively in a consistent relation with each
other (in either positive or negative directions).
Phenomena that are correlated with each other may or may not be
causally related to each other; they both could be caused by another
unrecognized variable. One may appear to cause the other, but
correlation alone never proves causation.
Correlation can be determined descriptively by recording a series of
observations.
Causation, which would be the basis of an hypothesis explaining the
correlation, must be determined by experimentation, i.e. by
manipulating the appropriate variable(s) in the system and observing
whether the predicted outcome occurs.
SCIENTIFIC
SERENDIPITY
Many important scientific discoveries arise partly as a result of
"accidents", or unexpected variations in the outcomes of experiments.
Example: Minkowski's discovery of the role of the pancreas (and its
insulin) in diabetes.
- Dogs had had their pancreases removed in
studies of fat metabolism.
- Unexpectedly, they urinated more frequently
than usual.
- Unexpectedly, the urine drew flies, which is
unusual.
- The tested urine contained sugar, which is
unusual and is a symptom of diabetes.
- Minkowski noticed these things and through
further work solved the unknown cause of diabetes.
Failure to notice (and to be curious, rather than just annoyed, about) the
extra urine and the flies would have prevented (or postponed) this
pancreatic function from being discovered.
"Accident" is an inadequate description of such discoveries:
--Experiments are usually being conducted in at least the same general area of
inquiry.
--The observations are interpreted by someone with the appropriate background,
knowledge and perspective to notice the implications and to pursue them
to useful conclusions (or to alert others who can). This is where
curiosity and imagination become so important.
"Discovery consists of seeing what everyone has seen and thinking what no
one has thought" (Albert Szent-Gyorgyi)
BIOETHICS
DECISIONS ABOUT ACTIONS WITH BIOLOGICAL CONSEQUENCES
Examples of issues involving bioethics:
- Medical treatment alternatives
- Life support removal; assisted suicide
- Abortion
- Animal experimentation
- Cloning
- Forensic testing
- Fur sales
- Legalization of drugs
- Rain forest destruction; other environmental
issues
- Etc.
Decisions such as these require more than knowledge of the biology involved.
Other value systems in addition to science play a role, including one or
more of the following:
- Legal
- Philosophical
- Political
- Sociological
- Theological
However, bioethics cannot properly be addressed without knowledge and
understanding of the appropriate biological science.
THE MAJOR VALUE SYSTEMS (as compared to science)
SCIENCE - A system of logic in which the truth about the natural world is
sought based on factual, unbiased, repeatable observations and
experiments, through the use of testable hypotheses. An hypothesis
is presumed true until proven false. Evidence is sought to falsify it;
all facts must be considered.
LAW - The process or pursuit of justice based on legal rules of evidence.
An accusation is legally presumed to be false until proven true.
Evidence is sought to prove it; only legally admissible facts can be
considered.
PHILOSOPHY - A search for truth through an internally consistent
system of logical reasoning (which may or may not include factual
observation). Such a system can be based on any premise or agreed upon
set of rules or descriptors of a situation or point of view.
SOCIOLOGY - The analysis and description of sets of behavior patterns that
have evolved in populations as "social norms", i.e. the usual, accepted
ways of doing things, with and against which all behaviors are compared
and judged.
POLITICS - The pursuit of understanding and/or influencing the policies of
institutions and/or governments. Upon erecting an internally consistent
premise, an entire prescription for institutional and social behavior can be
devised (e.g. federal democracy, fascism, communism, etc.). The
premises are based on sets of assumed sociological and socioeconomic "truths".
THEOLOGY - The intepretation of religous truths expressed in bodies
of written and/or spoken histories and/or mythologies, generally accepted
by proponents of a religion as revelations of the relationship of mankind
to the universe and the meaning of life. Especially applicable to things
that are scientifically unknowable.
G
ENERAL
UTILITY OF SCIENTIFIC APTITUDE
Familiarity with science and adopting a more scientific frame of mind can
benefit non-scientists in many ways (both personally and as citizens),
including the following:
- Reduce the consequences of unfounded and
incorrect biases.
- Increase fairness of allowing opportunity
for alternative outcomes even where biases are correct.
- Reduce cost of wrong decisions based on
jumping to conclusions from inadequate information.
- Avoid being fooled by those who profit from
deceiving the ignorant or unwary.
- Allow more competent assessment of science-
based issues facing society that require political and social
decisions.
- Better understand why and how the world
works, and more effectively join in the use of, and the responsible
control of, the power of this mechanistic knowledge.
Everyone should make more use of the two questions
"How do you know?"
"Show me the evidence."
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