Generalized.Correlation.Analysis.Is.Extremely.Important.For.Scientific.Analysis
2026-04-17 15:05阅读：
Generalized Correlation Analysis,
An Extremely Important
Scientific
Analytical
Method
ARBCEF (Analogical Reasoning By
Comparing
External Features) is a very
effective way
of thinking commonly used in TCM
(Traditional
Chinese Medicine), as it can help us
quickly
understand the fu
nctioning of the human body,
the mechanisms of disease changes, and
thus
facilitate the rapid acquisition of
effective
treatment methods for diseases.
Such a practical and feasible way of
thinking
is often mocked by the guys who
always want
to ruin TCM.
Why are those guys being so unreasonable ?
In their view, ARBCEF is not a
scientific
method,
but in fact,
it may not be the
case.
Those guys always consider themselves
as men
of great scientific literacy,
thus, let's take
a brief look back at the history of
scientific
development, in order
to let those guys first
understand what scientific literacy is
after
all.
As early as the late 18th century to
the early
19th century, many physicists
independently
studied the relationship between
electricity
and magnetism.
For example, French physicist
Coulomb
summarized
the law governing
the
interaction between electric charges
through tests, known as Coulomb's Law.
Later, German physicist Gauss extended
it
to arbitrary
charge
distribution and derived
Gauss's law.
At that time, Danish physicist Oster
discovered
the magnetic effect of electric
current, and
French physicist Ampere summarized the
interaction of electric
current.
Biot and Savart, two French physicists,
jointly
described the magnetic field
distribution
generated by a steady current, and Faraday, a
British physicist, discovered
electromagnetic
induction，he also proposed the concept of
fields and force lines, all of which laid
a
solid foundation for the unified
electromagnetic
theory.
The key breakthrough in the
theory of
unifying
electromagnetic
was achieved by
British
physicist Maxwell, who unified
these seemingly unrelated electrical
and magnetic phenomena into a set
of equations.
He actually used the idea of
fluid mechanics
to analogize electromagnetic
phenomena,
and then turned Faraday's lines of force
into mathematical
objects that can be
strictly analyzed.
He also proposed the hypothesis of
displacement current and
analogized
the changing electric field to current.
Finally, he obtained the initial
equation
system containing 20 variables and
predicted the
existence of electromagnetic
waves.
At the same time, he pointed out that
light is an electromagnetic
wave, and
in this way, his equation system
unified
electromagnetism.
In the end, British physicist Oliver
Heaviside
and American physicist Gibbs
collaborated
to reconstruct this system of equations into
a very concise and symmetrical equation
system in vector analysis form.
In addition, German physicist Hertz
confirmed
Maxwell's prediction by
generating
electromagnetic waves through tests.
So, Maxwell's theory promoted the unity
of
electricity, magnetism, and light
theory,
and perfected the concept of fields,
which
completely changed the direction of
physics
and gave birth to technologies such as
wireless communication, radar and laser,
laying a solid foundation for modern
technology and
ultimately making indelible
contributions to scientific development
and
technological progress.
It can be seen that the analogy method
is
not as worthless as some guys
think.
For example, if Maxwell had not used
fluid
mechanics to analogize
electromagnetic
phenomena and turned Faraday's lines
of force into a
mathematical object that
could be rigorously analyzed, it would
have been difficult for him to quickly
obtain the major scientific achievement
like Maxwell's
equations!
In fact, analogy as a way of thinking
has
a wide range
of applications, such as
isomorphism in chemistry, isomorphism
system in management science, isomorphic
solution method for algebraic equations,
and so on.
This type of thinking method is
precisely
generalized correlation
analysis, which
is often inadvertently used when
analyzing
problems.
In conventional analysis, we are often
only
interested in clear causal
relationships,
while being not very interested in any other
types of relationships, such as
adversative
relations.
But if a certain analytical method can
only
handle causal relationships, then
this
analytical method actually has great
limitations
and is essentially an
extremely incomplete
analytical method.
Because the objective world is
extremely
complex, not all relationships between
things can be divided into only two kinds
of relations, causal relationship
(including indirect
causal relationship)
or completely
unrelated.
So, nobody can conclude that
the relationship between
arbitrary
two
things is either causal (including
indirect
causal relationships) or completely
unrelated.
In fact, the relationship between arbitrary
two things may be causal, indirect
causal,
partial causal, structurally similar,
attribute similar, structurally
different,
attribute different, partially
correlated,
weakly correlated,
uncertain fuzzy
relationship, relationship of dynamic
transformation over time
or space, or
even completely unrelated.
For any crucial issue, true scientific
analysis
should carefully
analyze all
possible correlations among all factors
involved in the issue, which can be
called 'generalized
correlation
analysis '!
Perhaps some people think that
the generalized correlation
analysis
is just
a
meaningless wild thought, but
it's no need to jump to such a conclusion
in a rush.
In the initial stage of analyzing
problems,
there is indeed a great similarity
between
generalized correlation analysis and
meaningless wild thought, but this is not
important.
The most important thing is that
generalized correlation analysis
has a significant
difference from
meaningless wild
thought,
especially in quickly
obtaining
valuable conclusions,
generalized
correlation analysis plays
a very
important role.
Specifically, a generalized correlation
analysis
has effectively
inspired thinking,
broadened ideas and extensively collected
effective information in
the early stages
of analyzing
problems, thus enabling
quick obtain effective
methods to solve
the problems, or obtain
valuable conclusions,
or at the very least, it
is beneficial for
the analysis or understanding
of problems,
even if it is only qualitative analysis
or obtaining qualitative conclusions,
it also points out
the research direction
for future
studies.
But any wild thinking does not have a
bit
of such
function at all.
For example, Maxwell used generalized
correlation analysis to discover the
similarity between fluid phenomena and
electromagnetic phenomena, and quickly
obtained Maxwell's equations by applying
analogical thinking.
He ultimately solved the problem of
unified
electromagnetic field, and his theoretical
achievements were widely validated through
subsequent scientific tests.
Similarly, ARBCEF in TCM is essentially
an
analogy method.
By applying this method, TCM can
quickly
locate the patient's problem, discover
the cause and find corresponding
effective
methods to solve health problems through
TCM theoretical methods.
It has long been proven by a large number
of objective facts and actual
therapeutic
effects contained in these objective
facts.
All of these objectively prove
that
the generalized correlation
analysis
of TCM has both
important theoretical
value and great
practical value.
In fact, a necessary potential for
scientific talents
nowadays is
interdisciplinary ability, rather
than just being addicted to some
incomplete technical specifications
that they can understand, or even
unable to extricate themselves
from those incomplete technical
specifications.
Unfortunately, some guys are often
addicted
into some
incomplete technical
specifications such as
'Urine and
feces testing techniques++'
or
'Double-blind
trials', but they
extremely
disdain many fast and effective treatment
methods in TCM.
Here is another obvious example, many
guys
consider themselves scientifically
literate,
yet when they heard that a professional
Chinese medicine practitioner
suddenly
contracted cholecystitis, he opted for
surgical removal instead of
herbal
treatment, those guys resort to mock him
at once, even almost reaching a
point
of collective jeer.
Is it their so-called scientific
literacy?
In fact, all these examples have fully
proved
that those guys are at most
specialists in
medical technology, they do not understand
what medical science is, so, they are by
no means medical scientists, because
their scientific
literacy is extremely low,
never higher than
trace level so that their
scientific literacy
can be completely
ignored from now on!
In short, anyone with a slight
level of
of scientific
literacy should not be
extremely disgusted
with the
widespread phenomenon of
interdisciplinary.
Anyone with a little scientific
literacy
should
soberly realize the following
rule:
Generalized correlation analysis
is indeed
an
extremely important scientific
analysis
method.
At the same time, he should also
be aware
that any scientific way of
thinking is of
its instrumental attributes, and only
when
used correctly, rationally and in good
faith, can it play a positive
role.
It is the only effective way to
prevent
him
from
being deceived into logical
traps
by
seemingly useful things, or
to help
him
get rid of such logical
traps
as soon
as possible.
（ ------ Written on April 13th, 2026
）
[ Refer to
“广义相关性分析，一种极其重要的科学分析方法“
for the original text ]
