What I found the most interesting this week is the section
on Evaluating Scientific Hypotheses. The criteria for evaluating hypotheses
include the use of precise language and providing a testable explanation and relevance
to the problem that is studied because we can’t just include everything we
observe. In other words, there needs to be a focus in the study. The criteria
also include consistency, meaning that the scientific explanations should be
consistent with the “facts” in that field. An example given in the book is the
release of methane in the ocean as a cause of global warming. This is
considered a good hypothesis because it corresponds to the known and accepted
idea that global warming is a result of both mankind and physical, natural
changes on earth. Another part of the criteria is simplicity which in its name
explains what it really is. Scientists basically choose the simpler hypothesis
when there are rival hypotheses. Furthermore, the criteria also include
testability and falsifiability. Studies should be testable in that they can be
replicated by other scientists because science is a continuous, changing
process where people find more discoveries. An explanation must also be
falsified. An example that makes falsifying an explanation easier is the one
given in the book where they’ve hypothesized that all swans are white, when
really there are also black swans. Lastly, a good hypothesis should also have a
predictive power, meaning that this explanation can be used to predict or
explain similar events.
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