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it so he goes back he does the third

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series d here and he's back on the

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bandwagon

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uh here are the various combinations now

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what happened in series d is not a

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trivial issue here

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we'll talk about that again in just a

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moment

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if you want to have another index on

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this thing

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let me show you what happens if you do

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the individual

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heist

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distribution versus the individual low

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distribution

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up here is the time of flight of the

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robot for all of the long intention

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trials look at that distribution of

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measurables dragged way out to high

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numbers reasonably flat in here at the

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intermediate numbers

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whereas the times the flight the

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shortened tension thing got a totally

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different distribution look at the major

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categorical difference between those

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efforts

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all

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done on the same piece of klutzy

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equipment okay

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now

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what do we get out of this

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well first of all

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we've seen a lot of it before

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this funny behavior of that

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second series of that operator fits

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right in with our

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immense body of data that we put into

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what we call a serial position phenomena

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where operators come into the laboratory

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they do fine on their first exposure

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they say

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i got the hang of this come back and

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they do a second one

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because valley it goes backwards okay

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and then then humility sets in we come

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back and we try again and we get back on

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the curve we've seen that many times so

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we are seeing once again

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let's get that growth back we're seeing

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once again

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a severe serial position effect

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look at the

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absolute numbers those uh z-scores

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probabilities there of the effect sizes

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are all way out there there's nothing in

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the middle here

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you do

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and you're off the off the screen

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in terms of something happening when the

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operator interacts

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with the device

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now if we penalize

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the concatenations with that

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series position reversal

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the composite scores are much less

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impressive look at all of the x plus y

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trials look at just the y trials alone

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that last block down there incidentally

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the calibrations the machine was

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continuing to calibrate

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perfectly well while all of this was

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going on

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look though as i say at the end

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at the distribution of those things

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they're all out here

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somewhere in the

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in the vague vicinity of our arbitrary

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.05 criterion again nothing in the

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middle

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and this of course we have seen so many

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times

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how many of our data we can look at and

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say gee we got almost up to 0.05 we got

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a little bit past 0.05

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that is a magnet that attracts results

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from all of our experiments and it

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worked again

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here

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one can go on and speculate now about

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what the message to take away from this

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little experiment

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but as brenda has suggested to me to

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mention

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this program began with a simple student

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experiment back in 1978.

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okay a little reg breadboard reg

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klutzy experiment nonetheless produced

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striking results that drove us to do it

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a little better fashion for the next 30

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years

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somehow it's appropriate

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that this program ended

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with a student

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doing again a little klutzy experiment

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getting an outstanding result

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i leave those messages with you be glad

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to try to answer any questions but thank

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there is there were a series of

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experiments run by um someone named

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renee payock who the doctor in france

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back in the

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70s i think and anyway they were

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reminiscent of this but with chicks they

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were conditioned chicks

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conditioned to uh

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uh

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to

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was uh

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um driven by um a

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random event generator but it was

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actually by a taped

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uh result from a random event generated

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a run that was done in the past

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and uh

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they

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found it you know very strong uh

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significant correlation there that the

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chicks just by their intentionality of

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being attracted to the robot caused the

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robot to come to them in its random walk

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and so it's not just a human effect it's

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a

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it seems to be

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conscious intention

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from some living being not necessarily

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human and

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i read that also

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that

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this was demonstrated in a retrocausal

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way with a

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random event generator

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number sequences generated in the past

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so that meant this had to be a

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retrocausal effect so i just thought i'd

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comment on that because it relates

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was a close friend and colleague of ours

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actually we had the privilege of

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interacting with him at the time he was

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doing the experiments

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he was sponsored by a common sponsor of

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programs in this area and whatnot and

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the fairest thing to say is that he

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stimulated our interest in robotic

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experiments

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uh we patterned the original studies off

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of his work and so on so we're well

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aware of that those are great

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great events what i think you might want

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to think forward though are the

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implications here you know

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we can now go out and buy robots to

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clean our

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living room we can get robots watering

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our lawn

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we have robots

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doing sensitive things in nuclear power

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plants and so on but robotics has now

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entered in a very heavy duty way the

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medical profession there's a good chance

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that some of you here are going to wind

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up on an operating table someday with a

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little miniaturized robot running around

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inside of you in an artery repairing

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your heart valve or in your intestines

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doing some sort of colonoscopy i don't

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know

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but these robots these miniature robots

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involve random elements

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and they certainly involve

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resonance with their operators

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they certainly involve an intention

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uh maybe we ought to be taking a look

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about the

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communication between

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between physician and robot or between

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patient and robot

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going forward in this business and think

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john may even mention that

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cyloran is going to get into the

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nanorobot

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business and see if we can indeed

192
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in basic experiments to be sure

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demonstrate that they are vulnerable and

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maybe we can even make better use of

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them if we implement this

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thank you bob there is one more

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and this will we only have time for one

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in

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9 11 2001 i heard there was a random

200
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number experiment

201
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that happened showing

202
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random number changes right before

203
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9 11 2001 2001. are you aware of that

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experiment were you part of you're about

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to hear from it i hear about it from

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roger

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in his talk we are certainly all aware