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Inaccuracy

Inaccuracy refers to the quality of being incorrect, imprecise, or not in accord with fact or truth. It can arise from limited data, flawed methods, or errors in interpretation. In everyday use, inaccuracy often signals a deviation from a reliable result rather than a deliberate falsehood.

In measurement and data analysis, accuracy is the closeness of a measured value to the true value.

In journalism, inaccuracy describes statements that misrepresent facts or omit crucial details. In science and engineering,

Mitigation involves validation, calibration, and cross-checking against independent data; transparency about uncertainty; using established standards; and

Related terms include error, bias, uncertainty, misinformation, and falsity; distinguishing inaccuracies from deliberate deception is a

Inaccuracy
can
result
from
systematic
bias,
random
error,
calibration
drift,
or
sampling
error.
Precision
is
about
reproducibility,
not
closeness
to
truth;
a
result
can
be
precise
but
inaccurate
if
biased.
Uncertainty
quantifies
the
range
within
which
the
true
value
is
expected
to
lie.
inaccuracies
can
stem
from
instrument
limitations,
model
assumptions,
or
data
quality.
In
maps
and
navigation,
projection
distortions
or
outdated
data
can
create
inaccuracies.
In
AI
and
natural
language
processing,
inaccuracies
appear
as
incorrect
or
nonfactual
outputs.
critical
evaluation
of
sources.
In
statistics,
reporting
confidence
intervals
and
error
margins
improves
clarity
about
inaccuracy.
separate
ethical
issue.