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thank you for having me here the bad

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news is I'm not Ana Flores she's not

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here she's my PhD student the good news

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is I'm giving the talk so I will be

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presenting work in progress doing that

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in two stages some theoretical thoughts

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which I can keep short and some data

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most of which are quite new so here we

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go we've already heard quite a few

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things about the current world view and

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the fact that it's actually predicated

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on some presuppositions which Collinwood

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who was actually the source for Thomas

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Kuhn just as an aside called

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absolute presuppositions meaning they

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determine what we think about and how we

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look at the world and most of them are

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looking at things in terms of local

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causes like mechanical causes of what we

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just heard up in key principle which

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means we are looking at things only in

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ways that we can analyze it causally

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mm-hmm also we go for analysis before

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synthesis and mostly we go for matter

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before consciousness which is something

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problematic I find and also individuals

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of particulars before holes so what I'm

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presenting to you is what I would call

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relative individuality or relative

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vorticity because I'm going to speak

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about more like holes that develop into

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individuals and out of individuals into

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holes again so mm-hmm I was always a

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little bit frustrated with that because

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I think when you look at the experience

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from parapsychology or complimentary

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medicine what I've been doing most of my

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career you see that you implicitly have

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to have another paradigm which is more

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holistic which is not causal in the

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strict sense but may be correlational II

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caused the former causality in

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in the sense of Aristotle and maybe more

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internal relations in instead of

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external relations we heard about those

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meaning fields that is something which

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in philosophical terms is more internal

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relations leiden it's had a model like

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that and that has been lost along the

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way of the history of philosophy and I

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think we should turn back to that that

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is therefore we were looking into

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developing a new paradigm and I did that

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a while ago together with physics

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colleagues from Freiburg and we

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published that as generalized quantum

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theory or E as a model that is

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generalizing quantum theory into a

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systemic area as it were so it's not

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physics it's using a physical theory to

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understand systems it is the form of

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theoretical framework of algebra quantum

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theory which is basically in its core

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designed to deal with incompatible

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operations that is the call everything

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else is physical addition which you need

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to calculate and that sort of thing

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we leave that out and look at the core

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and we discover if you do that the model

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predicts non-local correlations and

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shampoodles Kiros and like correlations

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but not physical one but systemic ones

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and meaning that is in all types of

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systems no matter what they are made of

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they may be made out of chocolate but if

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they are in in in the in in the right

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frame you would see such correlations

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and that is what it would look like so

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if you if you think about a system that

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comprises some elements and you have

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descriptions that are incompatible

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between the whole of the system and the

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individuals the model would predict

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non-local correlations between these

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elements and the very basic idea is we

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always have holes connectedness let's

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say and we have individuals or

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separateness those are the most abstract

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concepts you can conceive of and

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connectedness and separateness are

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concepts are that are incompatible and

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if you have them United in one system

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then the prediction is that would be

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non-local correlations that's the basic

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theoretical framework from which we

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start now the idea is or the other

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problem is can you actually test that

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and the problem is correlations of that

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quantum type they cannot be used for EM

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for signal transmission that is why we

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have introduced the theorem in our model

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which we call the no signal transfer

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theorem and it actually states you

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cannot use those correlations to

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transmit causal signals you can use them

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but not causal sickness because if you

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do that you see that there's different

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types of things that bill has seen you

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have mice that are healed although they

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are not the target of the healing or you

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have the wrong mice healed while the

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other ones are not healed that type of

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thing and that's relevant for all

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replication now in quantum theory proper

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entanglement correlations are not tested

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by experiments they are tested by

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observations whose result you test

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against the theoretical prediction in

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parapsychology and in healing and other

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things we don't have that theoretical

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prediction we have to construct

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experiments and that is actually a way

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of coding signal so we used a new

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experiment we call it the matrix

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experiment that was developed by writer

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for looker too many years ago and we

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hope that this does not make signal

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coding possible so there were a couple

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of positive replications previously so

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we used that we nearly designed the

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experiment we newly rep constructed all

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the hardware and new protocol and the

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principal setup is that of a micro PA

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experiment a micro PK experiment where

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you have a sinner Dyer driving a display

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and someone sitting in front of it

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instructed to

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intentionally intentionally influencer

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display the important thing about that

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experiment according to my turf and

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Lookadoo is that the random events are

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sampled by Aman Markov chain and not a

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normal X or a because that gives the

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appearance of the system of more natural

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appearance it's a slower process of

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development and this is the display

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which we use a simple fractal and here

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you see for instance that little thing

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here which would instruct the

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participant to keep it stable so this

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would grow out of out or it would shrink

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and the experimental instruction would

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be keep it stable or point to the left

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trinket or to the right grow it those

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were the conditions and the standard if

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the difference to standard experiment is

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we are not targeting the random

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deviation directly that's the big

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difference but we extract variables

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actually five physical ones and five

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psychological ones we have three runs

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per instruction deviate right left

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keep centered and we repeat that so we

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have nine runs forming a matrix of nine

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times five physical and nine times

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psychological variables which sets up a

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huge matrix of 45 physical and 45

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psychological variables which gives us a

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pot of potential matrix of potentially

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2025 correlations okay that's the

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difference to a standard PK experiment

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we are not targeting the deviation from

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randomness we are targeting the

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correlation matrix between those

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variables and these are the variables so

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they're actually quite simple we use the

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this deviation from randomness as one

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variable but then we also have the

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maximum deviation of deviation of the

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process from the Markov chain behavior

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and then the average voltage and the

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variance of the voltage at the RIC

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output number seven in that case we have

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certain outputs and that psychological

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variables we use the number of key

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presses because the the participant has

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to progress the experiment by pressing

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Shift keys and he or she can use either

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left shift right

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okay left shift key or both when both

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oppressed experiment progresses and

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every press of the shift key progresses

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the experiment so this is also a measure

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of the speed of the experiment okay and

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so we have the number of these key

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presses and the average time between the

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key presses and the variance the

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steadiness of the experiment those are

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the psychological variables which we use

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and then we target a number of

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significant correlations between those

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when we set the significance level at

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Point a 1 this is purely arbitrary we

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could use any levels of the previous

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experiments at Panda and we use the

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other significance levels for

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sensitivity sensitivity analysis so

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there are two types of controls one is

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John's expectation because if you run so

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many correlations you will expect

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correlations by chance right so this is

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one control and then we have control

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experiment where after each real

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experiment we have an empty run by the

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system nobody is sitting in front of it

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it's just started and the operator goes

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away and we use the previous

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psychological variables and match it

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with that all right and then we have a

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couple of other safeguards just to make

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the experiment work well so this is a

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summary of what the experiment looks

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like you have a participant sitting

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before the reg you have that displayed

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with the instructions and then you have

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these variables the experimenter press

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oppresses to keep the participant

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presses the shift keys and that

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progresses the experiment yields of

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psychological variables and then we get

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the correlations the first study which

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was done by Majella around myself and

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Vitaphone Lookadoo was an experiment

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with 503 single experiments contributed

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by 243 participants mostly conferences

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and seminars and stuff like that and

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then we have two replication studies and

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these are Una's data they are very fresh

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and they are only partially evaluated so

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far in Edinburgh with friends and

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colleagues the statistical evaluation is

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a matter of debate we use originally the

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old evaluation which was constructed by

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writer from Lucca to after input from a

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referee and this is actually a standard

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standard statistics where you have the

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deviation between those number of

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significant correlations in experimental

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condition - the in the control condition

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standardized and should theoretically

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theoretically give you a set score but

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only if you have independent data and

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that we don't have that's the problem

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so we are trying to solve that problem

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by a new evaluation which we cooked up

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after a consensus conference last

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October in Capri where we said we would

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probably have to use a Monte Carlo

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analysis with 10000 randomly populated

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matrices and find our own district

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distribution we are in the process of

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evaluating those data now the results of

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the study one which is our original

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study this is what it looks like so this

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is the the correlation matrix so you

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have always five variables down here and

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then again and again and again and you

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have here the physical variables and

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here the psychological variables and the

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false color coding gives you the

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significance level which is out here

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right so this is your mental matrix and

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this is the control matrix let's just

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switch back again

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experimental matrix control matrix I

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think you can see quite clearly that the

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experimental matrix has many more

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significant correlations in it than the

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control matrix and if you do the

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standard analysis you'll also see that

281
00:12:25,760 --> 00:12:24,510
there is quite a difference all right so

282
00:12:28,100 --> 00:12:25,770
here you have the number of the

283
00:12:30,050 --> 00:12:28,110
experimental correlations the expected

284
00:12:32,240 --> 00:12:30,060
correlation is the green one and the

285
00:12:34,430 --> 00:12:32,250
control once they confirm comparatively

286
00:12:37,640 --> 00:12:34,440
well and no matter what significant

287
00:12:39,590 --> 00:12:37,650
threshold you use it looks the same and

288
00:12:42,280 --> 00:12:39,600
if you do the standard analysis what you

289
00:12:45,260 --> 00:12:42,290
see you get about five Sigma difference

290
00:12:47,660 --> 00:12:45,270
between those correlation matrices it

291
00:12:49,880 --> 00:12:47,670
and it doesn't matter whether you use

292
00:12:51,800 --> 00:12:49,890
this or this or this significance level

293
00:12:54,660 --> 00:12:51,810
as a threshold

294
00:12:56,790 --> 00:12:54,670
now the Monte Carlo analysis using that

295
00:13:02,930 --> 00:12:56,800
formula gives a more conservative

296
00:13:05,850 --> 00:13:02,940
estimate which is a but you can see here

297
00:13:10,400 --> 00:13:05,860
so this is the significant threshold up

298
00:13:14,189 --> 00:13:10,410
here this is the standard set score and

299
00:13:16,470 --> 00:13:14,199
this is the simulated one this is the

300
00:13:21,030 --> 00:13:16,480
the p-value and the simulated p-value

301
00:13:22,650 --> 00:13:21,040
and you can see it's significant up to

302
00:13:24,420 --> 00:13:22,660
this point the yellow ones are all

303
00:13:27,360 --> 00:13:24,430
significant the red ones are not

304
00:13:30,329 --> 00:13:27,370
significant and this down here is the

305
00:13:32,460 --> 00:13:30,339
forward-looking correlation for a part

306
00:13:34,530 --> 00:13:32,470
of the correlation matrix and depending

307
00:13:37,439 --> 00:13:34,540
on what type of correlation matrices you

308
00:13:39,749 --> 00:13:37,449
use this is the full matrix this is only

309
00:13:41,879 --> 00:13:39,759
partial matrix which simulates previous

310
00:13:44,220 --> 00:13:41,889
experiments and this as well you get

311
00:13:47,970 --> 00:13:44,230
different type of significance but

312
00:13:51,389 --> 00:13:47,980
actually it's more conservative but it

313
00:13:54,629 --> 00:13:51,399
is still significant now this is the

314
00:13:56,910 --> 00:13:54,639
census sensitivity analysis this results

315
00:13:59,550 --> 00:13:56,920
a comparatively stable and they are also

316
00:14:02,370 --> 00:13:59,560
significant with the new analysis but a

317
00:14:04,350 --> 00:14:02,380
little bit more conservative now this is

318
00:14:08,400 --> 00:14:04,360
the replication study two and number

319
00:14:13,829 --> 00:14:08,410
three by Anna this is a summary result

320
00:14:17,519 --> 00:14:13,839
only using the standard analysis of the

321
00:14:22,829 --> 00:14:17,529
set score difference here is the P of

322
00:14:25,199 --> 00:14:22,839
the 0.1 correlation 0 0.5 significance

323
00:14:29,579 --> 00:14:25,209
and so forth and this is the set score

324
00:14:33,420 --> 00:14:29,589
right so she could she called very very

325
00:14:35,280 --> 00:14:33,430
thick set scores this is the first

326
00:14:36,710 --> 00:14:35,290
experiment and this is the second

327
00:14:40,139 --> 00:14:36,720
experiment

328
00:14:42,900 --> 00:14:40,149
these are comparatively large and what

329
00:14:45,929 --> 00:14:42,910
you see here is only partial matrix

330
00:14:47,939 --> 00:14:45,939
that's the the upper diagonal that codes

331
00:14:49,980 --> 00:14:47,949
for the forward-looking so that in the

332
00:14:52,019 --> 00:14:49,990
future correlations which should be

333
00:14:54,590 --> 00:14:52,029
completely free of any causal

334
00:14:57,749 --> 00:14:54,600
correlations and also here she gets

335
00:15:00,269 --> 00:14:57,759
comparatively strong in the indications

336
00:15:01,449 --> 00:15:00,279
for significant results we do not have

337
00:15:03,879 --> 00:15:01,459
Monte Carlo si

338
00:15:05,379 --> 00:15:03,889
related statistical analysis for those

339
00:15:08,859 --> 00:15:05,389
data yet because that's still in the

340
00:15:10,809 --> 00:15:08,869
making and this is the what the second

341
00:15:12,900 --> 00:15:10,819
experiment looks like the first I don't

342
00:15:15,759 --> 00:15:12,910
have that's the second experiment

343
00:15:20,829 --> 00:15:15,769
experimental data and this is the

344
00:15:24,759 --> 00:15:20,839
control data for mental data control

345
00:15:26,710 --> 00:15:24,769
data so it looks as if that thing is

346
00:15:30,340 --> 00:15:26,720
actually replicable I'm quite surprised

347
00:15:32,169 --> 00:15:30,350
myself I'm not sure whether the Monte

348
00:15:34,059 --> 00:15:32,179
Carlo analysis will be stable but I

349
00:15:37,150 --> 00:15:34,069
think it will because the set scores are

350
00:15:40,259 --> 00:15:37,160
comparatively high so the summary is I

351
00:15:44,049 --> 00:15:40,269
hope that we have found a robust

352
00:15:45,790 --> 00:15:44,059
experimental paradigm where we get more

353
00:15:48,100 --> 00:15:45,800
significant correlations under the

354
00:15:52,109 --> 00:15:48,110
experimental condition compared to the

355
00:15:54,879 --> 00:15:52,119
control condition we will have to use

356
00:15:57,840 --> 00:15:54,889
more conservative analysis which we are

357
00:16:01,210 --> 00:15:57,850
still in the process of working out and

358
00:16:02,949 --> 00:16:01,220
there is a few other data by heart would

359
00:16:05,410 --> 00:16:02,959
grow to who is here and just published

360
00:16:07,629 --> 00:16:05,420
that and I want to point that out there

361
00:16:10,539 --> 00:16:07,639
is a post hoc analysis form and this is

362
00:16:12,009 --> 00:16:10,549
a Monte Carlo simulation right if I'm if

363
00:16:14,919 --> 00:16:12,019
I understand that correctly what you

364
00:16:17,230 --> 00:16:14,929
have here is experimental and the

365
00:16:18,699 --> 00:16:17,240
control data and you have something

366
00:16:22,499 --> 00:16:18,709
sticking out here which is quite

367
00:16:27,759 --> 00:16:22,509
interesting and the difference

368
00:16:29,379 --> 00:16:27,769
calculated post hoc is 0.01 and the

369
00:16:31,470 --> 00:16:29,389
interesting thing about that experiment

370
00:16:34,499 --> 00:16:31,480
I find is that he used different

371
00:16:36,369 --> 00:16:34,509
psychological variables so these are

372
00:16:40,030 --> 00:16:36,379
psychological variables of the

373
00:16:42,069 --> 00:16:40,040
participants coming from scales which we

374
00:16:45,100 --> 00:16:42,079
didn't use and so there is an

375
00:16:48,400 --> 00:16:45,110
interesting future unfinished there is

376
00:16:52,629 --> 00:16:48,410
an interesting future perspective of

377
00:16:54,039 --> 00:16:52,639
using different variables so we are in

378
00:16:56,799 --> 00:16:54,049
the process of setting up a large

379
00:16:58,840 --> 00:16:56,809
consortium replication and whoever wants

380
00:16:59,170 --> 00:16:58,850
to join us as welcome to do that we will

381
00:17:01,290 --> 00:16:59,180
have

382
00:17:02,410 --> 00:17:01,300
to find independent funding for that yet

383
00:17:06,250 --> 00:17:02,420
mmm-hmm

384
00:17:07,600 --> 00:17:06,260
and I think a pinch of skepticism is

385
00:17:09,610 --> 00:17:07,610
warranted we don't know whether that

386
00:17:13,300 --> 00:17:09,620
really holds water because we need more

387
00:17:16,530 --> 00:17:13,310
applications on that and it may be

388
00:17:18,820 --> 00:17:16,540
necessary to actually build some some

389
00:17:20,740 --> 00:17:18,830
insecurity or some freedom of movement

390
00:17:23,760 --> 00:17:20,750
into the system in order to make it

391
00:17:26,320 --> 00:17:23,770
happen but that might be possible so

392
00:17:29,200 --> 00:17:26,330
funded by the Beale foundation by the by

393
00:17:31,060 --> 00:17:29,210
the way and if you want more information

394
00:17:40,570 --> 00:17:31,070
write me an email thank you for your

395
00:17:43,210 --> 00:17:40,580
attention I think we are a slight

396
00:17:45,310 --> 00:17:43,220
weakness I see in the arguments here and

397
00:17:47,230 --> 00:17:45,320
this is partly because I have never

398
00:17:51,490 --> 00:17:47,240
believed Vaughn Lucca who's non

399
00:17:57,010 --> 00:17:51,500
signalling theorem is that the the

400
00:18:02,170 --> 00:17:57,020
experiment you have set up will produce

401
00:18:04,120 --> 00:18:02,180
results whether there is conventionally

402
00:18:07,330 --> 00:18:04,130
interpreted sigh that could be used for

403
00:18:12,460 --> 00:18:07,340
signaling or if on lucca news Don

404
00:18:15,100 --> 00:18:12,470
signaling sie is available it is the

405
00:18:17,650 --> 00:18:15,110
only form available so the fact that

406
00:18:20,200 --> 00:18:17,660
you're getting positive results is quite

407
00:18:23,230 --> 00:18:20,210
encouraging and we can hope that it will

408
00:18:27,210 --> 00:18:23,240
prove to be replicable but at the moment

409
00:18:30,730 --> 00:18:27,220
it does not seem to make a very strong

410
00:18:32,620 --> 00:18:30,740
justification of the idea that a a no

411
00:18:41,140 --> 00:18:32,630
signalling theorem applies to sign

412
00:18:43,540 --> 00:18:41,150
phenomena well because of various

413
00:18:46,270 --> 00:18:43,550
reasons I think we have enough data in

414
00:18:49,420 --> 00:18:46,280
the parapsychology database and we have

415
00:18:51,460 --> 00:18:49,430
enough data in various complementary

416
00:18:53,440 --> 00:18:51,470
medicine databases to see that it's

417
00:18:56,410 --> 00:18:53,450
actually happening all the time that if

418
00:18:59,200 --> 00:18:56,420
you replicate things they go away they

419
00:19:01,360 --> 00:18:59,210
change channels you see buildings and

420
00:19:05,470 --> 00:19:01,370
smiles they do these they have these

421
00:19:07,450 --> 00:19:05,480
strange habit of shifting effects of the

422
00:19:08,320 --> 00:19:07,460
control group that is a strong argument

423
00:19:10,149 --> 00:19:08,330
and I think

424
00:19:13,480 --> 00:19:10,159
you look into the correlational data

425
00:19:16,330 --> 00:19:13,490
what you would expect if cyber a signal

426
00:19:19,779 --> 00:19:16,340
you would expect the certain cells to be

427
00:19:21,669 --> 00:19:19,789
always populated in the same way and

428
00:19:23,889 --> 00:19:21,679
that is exactly what you not see you see

429
00:19:25,930 --> 00:19:23,899
the effect switching channels to

430
00:19:27,730 --> 00:19:25,940
different correlational patterns and

431
00:19:31,509 --> 00:19:27,740
that is exactly what that experiment was

432
00:19:33,549 --> 00:19:31,519
designed to capture when those in the

433
00:19:37,000 --> 00:19:33,559
experimental group sat at the computer

434
00:19:45,940 --> 00:19:37,010
what were they doing exactly they were

435
00:19:48,669 --> 00:19:45,950
trying to influence this fractal which

436
00:19:51,039 --> 00:19:48,679
you have to imagine as being dynamic it

437
00:19:52,810 --> 00:19:51,049
comes out of out of the thing and grows

438
00:19:54,820 --> 00:19:52,820
and it shrinks and it grows and it

439
00:19:56,350 --> 00:19:54,830
shrinks dependent on the sampling of the

440
00:20:03,330 --> 00:19:56,360
random process and they got an

441
00:20:06,490 --> 00:20:03,340
instruction with that little thing here

442
00:20:08,500 --> 00:20:06,500
if that was an arrow pointing right the

443
00:20:10,659 --> 00:20:08,510
instruction was grow it when the

444
00:20:12,430 --> 00:20:10,669
instruction was pointing left the

445
00:20:14,440 --> 00:20:12,440
instruction was shrinking and if it was

446
00:20:17,830 --> 00:20:14,450
like that it was keep it stable so it

447
00:20:20,080 --> 00:20:17,840
was an intentional instruction to act on

448
00:20:22,149 --> 00:20:20,090
the behavior of that fractal driven

449
00:20:25,480 --> 00:20:22,159
driven by a random number process which

450
00:20:26,680 --> 00:20:25,490
is in fact classically impossible maybe

451
00:20:28,060 --> 00:20:26,690
I missed it but is there something

452
00:20:30,340 --> 00:20:28,070
special about the imagery that you were

453
00:20:32,350 --> 00:20:30,350
using was that oh we're just we were

454
00:20:34,299 --> 00:20:32,360
just using the original one which wieder

455
00:20:35,980 --> 00:20:34,309
used for his previous experiments we

456
00:20:37,690 --> 00:20:35,990
were just using the very same display

457
00:20:40,600 --> 00:20:37,700
and the fact that it was colorful and

458
00:20:42,370 --> 00:20:40,610
yeah just well the fact it's colorful

459
00:20:44,970 --> 00:20:42,380
and it's playful is something that gets

460
00:20:47,490 --> 00:20:44,980
people involved and the idea about the

461
00:20:50,409 --> 00:20:47,500
theoretical model is you have to close

462
00:20:51,639 --> 00:20:50,419
the system somehow and you do that by

463
00:20:53,139 --> 00:20:51,649
getting people involved in the

464
00:20:55,570 --> 00:20:53,149
experiment and by the experimental

465
00:20:57,100 --> 00:20:55,580
instructions and that helps to get

466
00:21:03,070 --> 00:20:57,110
people involved because it looks nice

467
00:21:03,900 --> 00:21:03,080
yeah okay thank you let's thank our