Christians Against Mental Slavery

Christians Against Mental Slavery

PINNEO'S 1975 RESEARCH INTO TECHNOLOGICAL THOUGHT READING

Pinneo’s feasibility study is one of several primary scientific sources which the American biologist and Christians Against Mental Slavery member John McMurtrey references in two of his papers published on this website. The two papers are: Thought Reading Capacity and Remote Behavioral Influence Technology Evidence.

The Pinneo research alone is sufficient to refute dogmatic but ill-informed assertions often made, even three decades or so after Pinneo’s the research was conducted, that it remains impossible even today, and will remain impossible for the foreseeable future, for one person to ascertain what another person is thinking, by analysing biological data, such as the EEG readings which Pinneo used.

At last! You can now access, online, in Word format, by clicking below, the results of the scanning of our printed copy of Pinneo's work, obtainable from the government of the United States of America (but only if you know what to ask for, and whom to ask). You can save the document to your hard drive.

It's big (17 megabytes). It's technical. It should change your life. It's so new that it hasn't even been fully proof-read yet! But it's HERE, and it's FREE! J

FEASIBILITY STUDY FOR DESIGN OF A BIOCYBERNETIC COMMUNICATION SYSTEM E Go on, click it! You know you want to.

Published August 1975

Written by Dr Lawrence L Pinneo and Mr D J Hall

Commissioned by: The Advanced Research Projects Agency

149 pages (in print, that is - 147 online), covering three years of research, at the Stanford Research Institute.

Published nowadays by: U.S. Department of Commerce, National Technical Information Service (NTIS)

NTIS document reference: ADA017405

KEY EXCERPTS FROM THE OPENING PAGES OF THE STUDY

Page 1, second paragraph of the summary:

The research was predicated on existing evidence that verbal ideas or thoughts are subvocally represented in the muscles of the vocal apparatus. If the patterns of this muscle activity are at all similar to those involved in normal overt speech, a reasonable assumption is that electrical activity of the brain during verbal thinking may be similar to that during overt speech.

Page3, second paragraph, numbered (5):

It was determined that, if all the sources of error could be eliminated, significant gains in correct word classification using biological responses would be achieved (perhaps approaching 90% or better).

Page 3, penultimate paragraph:

EEG responses for covert speech mimicked those of overt speech for the same subject, electrode and spoken word. When sources of error were reduced as much as possible, correct computer classification rates ranged from 52 to 72%, which was significant at p < 0.001. We conclude that both overt and covert speech can be identified by computer classification of electrophysiological responses and that a practical biocybernetic communication system is feasible, provided that sources of error can be removed.

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