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into the

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to the um events

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but that response has a time course it

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appears i mean if you read this graph

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and interpret it what it means is that

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the real interesting time period is

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about one or two hours that means

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something like the um

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moment for a global consciousness is an

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hour or two long

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in in some sense there's interesting

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questions about what's happening at the

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beginning we think this may mean um that

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we're in this uh jog at the beginning of

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the graph may mean that the correlation

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the covariance measure lags

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the

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net network variance measure but we've

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got a lot more work to do this is a

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complicated slide we do a weighted

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regression which you can see in the

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green straight line in both graphs it's

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significant

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and what this is means is that the

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measures which are driven by this a

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correlation between our paris pairs of

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rags

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is stronger when the pairs are close to

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each other than it is when they're far

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apart so we actually have a distance

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uh indication this is just a picture of

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that

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the

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relatively short distance compared to a

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long distance another way to look at the

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same data the blue curves

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show the data

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in each of those two measures

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for

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pair separations less than 8 000

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kilometers and the red data for

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pair separations greater than 8 000

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kilometers

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very interesting and to me surprising

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because my intuition going in was that

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we had a truly non-local phenomenon

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so we can

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easily or relatively easily categorize a

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lot of the events into things like

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terror political events natural

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disasters and so on

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collapse this to a smaller set which is

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makes it easier to read

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what's shown here is a group

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um terror

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events and partisan events where

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the stimulus to

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have the same same emotions comes from

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the outside in a sense

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and compared with something where the

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meditation where the

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the stimulus is basically kind of

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internal

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and what we see is that the network

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variance

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blue column is much stronger than the

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um

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than the response from in the covaria

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covariance measure

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for the these terror and partisan events

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we have a lot more work to do to really

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understand this but it it looks like

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um well

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literally that the two different kinds

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of independent measures are actually

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responsive to different kinds of things

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this is just an analysis of variance

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showing the same

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data

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that there is an interaction between the

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type of statistic we use and the

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category that they're in

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by in several different groupings we see

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this that it's there's a significant

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outcome

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so if there is consciousness driving

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what our system does one might ask what

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happens if people are awake versus

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asleep we might imagine there's a little

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more tendency while people are awake

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what this shows is in the center

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um the

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a real 24-hour day compared with days

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there

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that are minutes longer or minutes

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shorter there's a pretty uh impressive

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spike it's actually only 16 to 1 odds

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but it's

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it suggests that there really is a kind

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of

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consciousness pressure on the data

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the long there's the blue curve show a

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long long term trend in our data which

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is in a way kind of mysterious why would

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this happen

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um we

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look for some sort of external correlate

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and peter decided to

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gather all kinds of presidential

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all kinds of polling data

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and looked in particular at the

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presidential approval ratings

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which as you can see in the left-hand

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graph even in the raw form have a fairly

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similar kind of

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trend

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when we do a simple model to fit the

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presidential approval data to the

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um

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to the

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global consciousness and network

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variants it's a very striking fit

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no proof of a

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a causal result okay

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this is my last uh slide there there is

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um in

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in in the last

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10 years or nine years

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some 600 earthquakes in the world or 700

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with richter magnitude 7 or greater in

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other words damaging quakes

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about

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100 of those have been on land where

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they matter to people and the rest are

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in the ocean so

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this graph shows a strong pattern when

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they're on the land and not much

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of a pattern at all when these quakes

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occur in the ocean

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what's perhaps more interesting in a

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certain sense and again

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a temporal structural kind of thing

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this central portion is magnified here

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and actually separated into two

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independent subsets both of which show

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the same pattern and that pattern

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begins about eight hours before

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the

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minimum point

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which is at the time of the quake

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so

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okay

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last point

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um

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oh this is the button

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the fact that only where that the only

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the quakes which affect people

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uh show any pattern suggest i think

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strongly that consciousness definitely

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is involved lots of other things do

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there's even a suggestion of premonition

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but more work to do to discover where

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there's any reality to that

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thank you very much this is the

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thank you roger

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i just wanted to ask because i have a

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son who lives in los angeles could you

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please call me if that if you see that

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happening

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one of the uh

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suggestions that the data give is that

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we could in principle predict things the

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trouble is that if we see a

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strange change in the data

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we don't know much more than that the

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data are responding to something we

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don't know where whether it's los

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angeles or maybe china

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and uh we don't know when exactly it

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will be either but it's a good thought

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roger wonderful update beautiful data

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question about this

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this possible distance effect

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um if you for example look at the

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earthquake data

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your earthquakes are very physically

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localized and you literally because

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you've got a span all around the world

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you have you have eggs or regs that are

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quite some distance from a given quake

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if you plot the data as a function of

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distance from a quake averaging over all

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the quakes for particularly obviously

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the ones that are on land

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is there a distance effect

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there is a small distance effect but the

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one that we know most about has to do

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with the

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distance between pairs of regs our pair

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the average pair correlation is greater

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for

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ergs that are close to each other we do

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have also already a suggestion

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some uh

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of an answer to your question and it is

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positive there is

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a drop-off of effect

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with regard with regard to what appears

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to be the focal point of the event

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there's one

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is it possible to have a dedicated reg

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for a specific

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area and somehow in the intentionality

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says

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however you level or think of

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intentionality you greg will only ever

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respond to anything from that specific

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spot

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or event style like an earthquake and

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nothing else

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from the intentions you want to put on

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this do you think that's

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conceptually possible

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it given the nature of the meeting and

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the the content of the talks we've been

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listening to i'm inclined to say

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anything is possible

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but uh more seriously i i think the in

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the nature of the question that we ask

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00:08:41,430 --> 00:08:38,959
is very important and basically that's

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what you're talking about if we specify

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the

233
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task so to speak or if we task an reg

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it's

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will

236
00:08:59,269 --> 00:08:57,190
you could but uh it wouldn't we wouldn't

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00:09:01,269 --> 00:08:59,279
be able to use the same uh

238
00:09:03,269 --> 00:09:01,279
you know material as we have here

239
00:09:05,829 --> 00:09:03,279
because we're talking about pairwise

240
00:09:07,590 --> 00:09:05,839
correlations it really is a

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00:09:08,389 --> 00:09:07,600
global uh

242
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response

243
00:09:12,630 --> 00:09:10,160
we don't know how deep that correlation

244
00:09:14,470 --> 00:09:12,640
structure goes but at least the major

245
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stuff is driven by

246
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inter

247
00:09:20,870 --> 00:09:18,399
reg correlations

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and have you done any

249
00:09:24,310 --> 00:09:22,399
analysis of

250
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as opposed to distance cultural

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connection like if if a culture feels

252
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more connected to where an event happens

253
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is their response bigger

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i think i can answer in the affirmative

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00:09:37,509 --> 00:09:36,080
we haven't done very much of that but

256
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once in a while there'll be something

257
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well for example we look at political

258
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events which and more often than not

259
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they're u.s

260
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based political events

261
00:09:47,509 --> 00:09:46,640
and

262
00:09:50,470 --> 00:09:47,519
we look

263
00:09:52,150 --> 00:09:50,480
this is usually exploratory not formal

264
00:09:54,150 --> 00:09:52,160
the formal is always asking about the

265
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whole network but if we look at the

266
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local regs

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for to that