The absence of one data point in a statistical analysis can invalidate the analytical result
Copyright 2022, InterAmerica, Inc.
UFO “researchers” – I’m using the term very loosely, of
course – often will gather kinds of or locations of or some other variable in
search of a UFO explanation.
They mean well, but are far afield of germane scientific finding(s).
For instance, if one is accumulating reports of substantial lights in the sky but include numbers of orbic manifestations or even one, their analytical attempt has gone awry.
Citing numbers of UFOs over a particular locale, without deter- mining just exactly where those UFOs were located is an analysis without substance.
Just as some UFO investigators like to point to UFOs around or over nuclear facilities but not determining where UFOs were generally spotted at the same time or nearly so makes their suggestion spurious.
Data use (or mining) is a specifically touchy field for analytical acumen; it takes a serious, skillful person to gather the information – the data – with an ability to provide it, sans cavalier input.
The UFO do-it-yourselfers are many and vocal but almost worthless when one gets right down to it.
Separating good data from irrelevant data should not be a requirement for readers or recipients. It should be the premise from which a researcher begins.
They mean well, but are far afield of germane scientific finding(s).
For instance, if one is accumulating reports of substantial lights in the sky but include numbers of orbic manifestations or even one, their analytical attempt has gone awry.
Citing numbers of UFOs over a particular locale, without deter- mining just exactly where those UFOs were located is an analysis without substance.
Just as some UFO investigators like to point to UFOs around or over nuclear facilities but not determining where UFOs were generally spotted at the same time or nearly so makes their suggestion spurious.
Data use (or mining) is a specifically touchy field for analytical acumen; it takes a serious, skillful person to gather the information – the data – with an ability to provide it, sans cavalier input.
The UFO do-it-yourselfers are many and vocal but almost worthless when one gets right down to it.
Separating good data from irrelevant data should not be a requirement for readers or recipients. It should be the premise from which a researcher begins.
Image atop from Network World
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posted by RRRGroup at
Wednesday, June 08, 2022
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