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Session Analysis Machine (SAM) Version 1.0 FREE!
Available NOW! (Released date: 21 September 2006. Most current version: SAM 1.01.)

Introduction: The Session Analysis Machine™ (SAM™) is a sophisticated computer program designed to analyze remote-viewing data. The public release of SAM allows anyone with a computer to shift from subjective to scientific evaluations of the remote-viewing phenomenon. Now, remote viewing can be studied more objectively, and the age-old bias of rejecting remote-viewing data because the phenomenon is "not supposed to exist" can be abandoned with greater certainty. More specifically, SAM compares a data set derived from a remote-viewing session with another data set that is based on a "target." The target is what the remote-viewer is supposed to perceive during the session. Since remote-viewing data are subjective perceptions, it is difficult for some people to evaluate how well a remote viewer is perceiving a target. SAM helps this evaluative process by reducing both the remote-viewing session and the target into two numerical data sets that can be compared statistically.

But SAM does much more than work with one target. SAM can be used to conduct a thorough statistical analysis of remote-viewing data using a large variety of useful statistics simultaneously involving hundreds of targets. This includes, for example, making relative comparisons between a remote-viewing session and a host of other targets. That is, researchers may want to know how well a remote-viewing session describes a particular target by comparing how well it describes, say, hundreds of other targets. If the remote-viewing session is accurate with respect to describing its intended target, then its description of other quite different targets should be much worse, and a statistical analysis of relevant data should demonstrate this conclusively. For example, if a remote viewer is supposed to describe the Eiffel Tower, then the remote-viewing data should compare favorably with a numerical data set that contains descriptions of the Eiffel Tower. Those same remote-viewing data should not do a good job describing a scene in Antarctica, or a battle in the 1800's between ships on an ocean. SAM allows a researcher to make such comparisons easily with respect to any number of targets.

Crucially, SAM can be utilized in Associative Remote Viewing experiments, an active interest of many who study remote viewing. Recent research has demonstrated conclusively that the remote-viewing experience cannot be separated from the analysis of the remote-viewing data with respect to its intended target. (See Remote Viewing: The Science and Theory of Nonphysical Perception by Courtney Brown. Users of SAM are strongly encouraged to read this book to more fully understand how SAM may be used to analyze remote-viewing data.) When multiple targets are involved (one real and the others decoys) it is impossible to isolate the remote-viewer’s perceptual experience from the decoy targets when human judges are used to analyze the remote-viewing data. Cross-target contamination occurs due to post-session mental influences involving those who examine the remote-viewing data with respect to the other targets. The use of SAM can potentially reduce or eliminate this post-session mental influence by having the judging accomplished by a computer rather than a human analyst. The Farsight Institute encourages the use of SAM with respect to Associative Remote Viewing experiments.

The SAM computer program is now available as a FREE download from this web site. It is written in Java for cross-platform capability. Everything offered below is free of charge, and none of these materials may be sold under any circumstances.

Java Jar File (Use this version for Mac OSX and higher, Windows 7 and higher (you may need to install Java first), and all other Java compatible operating systems. Just download it to your desktop and double-click it.) RECOMMENDED

Below are some supplemental materials that will help you work with the SAM program.

SAM User Manual (Version 1.2)
Target Pool* (240 targets)

*SAM targets optimally contain both pictures as well as verbal descriptions of SAM attributes. Please note that while the target pool has many photographs, many other photographs are missing, leaving only verbal descriptions. This is because we can include only photographs in the SAM pool that we believe are in the public domain. While no one at The Farsight Institute owns the copyright for the photographs that are included in the SAM target pool (since we believe them to be in the public domain), the verbal descriptions of the targets are Copyright © 2006 The Farsight Institute. All Rights Reserved.