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Table
0-7 POINT EVALUATION SCALE FOR TARGET/TRANSCRIPT CORRESPONDENCE
=
Excellent
correspondence,
including good analytical detail
(e.g.,
naming the
site by name),
and with essentially no incorrect
information,
=
Good correspondence with good analytical information
(e.g,,
naming
the
function)
and relatively little
incorrect
information,
=
Good correspondence with unambiguous unique matchable elements,
but
some
incorrect
information.
=
Good correspondence with several matchable elements
intermixed
with incorrect
information,
=
Mixture
of
correct
and incorrect elements
,
but enough
of
the
former
to indicate viewer has made contact with
the
site.
=
Some correct elements,
but
not
sufficient
to suggest results
beyond
chance expectation,
=
Little correspondence.
-
No correspondence.
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IV
APPLICATION POTENTIAL
A
.
Introduction
Remote
viewing
,
through
the use of geographical
coordinates
as
target
designators,
has
in many cases
provided meaningful descriptions
of East-
Bloc sites
designated as
targets
by various
sponsors,
and therefore
con-
stitutes
a potentially exploitable information source.
As
is generally
true with human sources,
however,
the information
is fragmentary and
imperfect,
and
is
therefore
best utilized
in conjunction with other
resources.
In this
section we
consider the potential
for
a broad-based
integration of RV intelligence into the intelligence resource mix.
Present
Intelligence Resources
and their Use
The essence
of intelligence
is
to provide support
for the operational
and decision making processes
of
the
U.S.
government
by providing timely
best-estimates
concerning potential adversary capabilities and intent.
Three
categories
of intelligence
concerns
are addressed
in this vital
function.
They are:
(1)
Policy
•
Plans
•
Politics
•
Economics
(2)
Military Strategy
•
Order
of battle
•
Force balance
•
Military operations
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(3)
Science and Technology
•
Military requirements
1 £
M/
•
Facility construction
•
Production and test
A proper assessment
of each of these
categories
depends
on the
abilities
of trained analysts
to exploit fully the various
data
bases
available.
The
commonly used data
bases
include communications
intelli-
gence
(COMINT), human intelligence
(HUMINT)
,
photographic intelligence
£
(PHOTINT),
electronics
intelligence
(ELINT)
,
signal intelligence
(SIGINT)
,
and
literature intelligence
(LITINT).
The specific mix
of
the
data bases
used
in addressing each
of
the intelligence
categories
varies from analyst
to analyst depending on habits,
organization policy,
and propensities.
Table
4 indicates
a commonly held view
of
the utility of
the various
data
bases
for supporting each
of
the three
categories
of intelligence concerns
,
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The utility of these
intelligence data sources
for providing pertinent,
timely information
is underscored by the designation of the applicability
of the
data source
to
the category of intelligence.
There are
data
that
provide
a direct measure of
information useful
to the analyst,
designated
by DIRECT;
data that
provide an indirect measure
of useful information,
designated by
IND;
and
data that are marginally useful,
designated by an M.
Data designated as having direct usefulness
to
the analyst
can be
further subdivided into three subgroups
as
to their timeliness:
subgroup
(1)
data provides
prior knowledge of an important event
or item;
subgroup
(2)
data provides real-time information or near real-time
information;
and
subgroup
(3)
data provides after-the-fact
information.
Even the
best possible use of the
data sources
shown in the preceding
table are
not sufficient
in all
cases
to provide the analyst with definitive
information.
More often than not,
the analyst will insist on corroborating
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Table
CONVENTIONAL INTELLIGENCE SOURCES
AND THEIR GENERAL APPLICABILITY TO INTELLIGENCE GATHERING
Typ<3 of
Intelligence
|
Intelligence
Data Source
Policy
Military
Strategy
Science and
Te chnology
COMINT
Direct
(1)
Direct
(1)
Direct
(1)
HUMINT
Direct
(1)
Direct
(1)
Direct
(2)
PHOTINT
Ind
.
Direct
(2)
Direct
(2)
ELINT
—
—
Direct
(2)
SIGINT
M
M
Direct
(2)
LITINT
Direct
(3)
Indirect
Direct
(1)
NOTE:
DIRECT
= Direct measure
of
intelligence information.
IND
= Indirect measure
of intelligence information.
M
= Marginal measure
of intelligence information.
~~
= N° measure of intelligence information.
*
DIRECT knowledge
can be obtained prior to the
actual event
(1),
at the same time
as
the event
(2),
or after the event
(3).
information from another source of
data,
and all too often it
is
not known
whether such commensurate information exists.
In addition, there are
inherent
limitations
in the data sources.
These
limitations are manifested
in
(1)
the amount of time
in which data can be
collected,
(2)
the restricted
area of coverage,
(3)
the difficulty in data
collection at
the
"right"
place,
and
(4)
the sporadic nature and undetermined reliability of much
of
the information.
Since many of these limitations
cannot
be overcome
practically because
of economic or technical
reasons,
it
is useful to
look
to newly emerging
concepts and technologies
for additional intelligence
source potential.
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C.
RV Intelligence
The subject
of
this report
(RV phenomenon),
developed to
a high
degree
of reliability, would clearly constitute a new area of
intelligence
potential,
both with regard to corroborating and supplementing information
from other sources,
and with regard to providing data
not
obtainable from
other sources.
This
leads us
to propose that RV and related phenomena
be considered seriously as
a new candidate
in the intelligence arena,
and
that
the
consequences
of
the utilization of this
source
be examined.
To the extent
that RV intelligence has been used to date,
it appears
that
RV typically functions
in a manner characteristic
of
the more
con-
ventional intelligence data sources.
That
is,
RV provides, with various
degrees
of success,
imagery information,
descriptive information,
and
temporal and spatial tracking information.
By virtue of data
in the area
of so-called precognition,
or future remote viewing
(FRV)
,
the possibilities
may extend to a capability of providing information on events,
people,
and places
in advance of any of
the
conventional data sources.
If this
possibility is substantiated by further research, FRV could then
be used
to direct
the use
of
conventional data sources,
and thereby contribute to
a more optimum use
of available collection means.
As more substantive examples
of the utility of RV,
the following
uses have been demonstrated in form if not
in actuality:
•
As related to COMINT
- Descriptions
of communicators;
descriptions
of
communicator's
surroundings
,
As related to HUMINT
-
Imagery from verbal descriptions;
identification of potential HUMINT
sources;
identification of adversaries
prior
to encounter,
•
As related
to PHOTINT -
Imagery
of equipment
not visible
to
conventional moans;
imagery of future
events,
constructions,
deployments.
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