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Dec. 23, 2015 - Clif High
30:12
Dec232015BTC

Lexicon tuning, BTC bitcoin, temporal markers, gold, silver, rodin coils and tin sorry, misspoke....MANGANESE and tin...MnSn2....not magnesium....

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Time Text
Good morning.
It's uh December 23rd, 6.17 a.m. here in the uh uh Pacific Northwest Coast of uh North America, Olympia Washington.
Hang on a second.
There we go.
Hopefully, my sound quality is a little better now.
Uh a lot of other issues.
Uh what happened last time was some background processing.
Anyway, this is a uh quick little um uh video to discuss um uh the lexicon tuning, uh Bitcoin, gold and silver, uh early January, February kind of things, and um a little bit on the 10.
So um uh to start with the lexicon and the tuning and why that's important.
Uh our accuracy rates have gone up because I've been devoting the better part of the month, uh, each month, every month, uh, to tuning the lexicon.
Now, the lexicon is our million plus words in multiple languages that are simply in a giant um uh alphabetical array.
Uh these words are have a unique identifier assigned to them, so we know what language and so on, all kinds of descriptors that are numerically encoded, and they also have a um a multidimensional array of values that are associated with them.
Uh sorry, we've got a dogfight going on under the table on which this uh this PC is resting.
Uh so if it gets a little shaky, that's what's happening.
Anyway, so the um uh the lexicon and the tuning.
Uh the multidimensional array holds values that are associated with the words.
Knock it off, guys.
Knock it off.
Um the words are or the values are uh associated numerically.
Um they're usually done in a range uh within a defined larger range for the potential for that word.
So our range might be that you know we're at 2.5 or 2.7, and the total range for this particular word might be 1 to 5 or 1 to 10.
Uh that's sort of a uh description of what we're dealing with here.
Uh the values for these are uh um guesses really that I started assigning way back in 1994.
And uh what we're looking at is a uh uh multidimensional array that holds all kinds of values uh for things like the duration of basically it's all the emotions that are associated with a word.
So um uh we'll we'll look at duration.
Duration's a good one.
Uh so if I um uh use one particular kind of a word, it has uh an emotional impact on you, and what we're tracking with duration is how long in time that emotional impact carries forward.
Uh so some words are are uh have a larger impact on your life, they last longer, they have more of an emotional impact on you.
Uh other words are brief in terms of their impact, they're very fading, maybe only a few minutes into a um uh maybe a day or so.
Now, what we're actually doing is tracking this across multiple people and and through the media.
So my definition of duration for an emotive carry forward into the future for a word is not actually the emotive value of that word in that might be uh as it might be seen in daily conversation between two humans uh because the impact there with the face-to-face conversation, all of that is a little bit different.
What mine is is uh the emotive value as it carries forward within the media, within the textural expressions that humans give across the internet, and since it takes them time to write that, it takes time to get it posted, there's a little bit more of a commitment to uh making the time to do it, etc.
etc.
This is a necessarily a much longer duration value than the actual word has.
This is what screwed me up way back when was that I was going for the for the former, not the latter.
I was going for the actual emotive value of the word rather than its um internet representation in that longer duration process of uh getting those emotions out through the words into the internet, if that makes any sense at all.
Uh but basically what I have to do is I've got to go through and I've got to tune.
There's lots and lots and lots and lots of words in the um lexicon, which is a dictionary without the definitions attached, and uh multiple different languages.
Uh the words are interrelated in their emotional um context.
The um tuning, there's so many words in there, you know, that I've not yet tuned through the whole lexicon twice.
So I've I wrote it, I set it up and wrote it once in the 90s, and I've been working on it ever since, but I have yet to go through the whole thing all over again in terms of its tuning and assigning values.
Basically, what I've ended up doing is spending a lot of time concentrating on subsets.
The more pertinent words to our current um milieu and our our current um progression through time.
And so I ended up concentrating on certain sets.
So for for instance, when I first started the um the lexicon, there were no words in it about uh Bitcoin.
Now they're they're all over the place, cryptocurrencies and all of their variants.
And so those had to be added and folded in.
So there's all kinds of work that has to go on all the time with new words coming in, some of which are slang, other which are technical and then fade into general use.
So you can say iPhone, you know, e sig, these kind of things.
They they didn't exist a few years ago, now they exist, now they have to be folded in.
So there's all this kind of work just putting the new crap in.
And that's not really where the uh where the art of it is.
The art of it is is in discovering the um uh the emotive uh values, the emotive um nuances and the ranges, because I've had to discover the range, what was an effective range?
How long could a word carry forward into the future within the media and still have the emotive impact or close to the emotive impact that it did on the first day that it came out, or that we we see it in the media, and then also uh since the words have a tendency to trail off in terms of their emotive value over time, what was that rate of that trail?
How fast did it degrade?
So this is why we have the different kinds of values.
So legal language, let's just give that as an example.
If you see legal language showing up in a letter, uh it's gonna have a long-term impact on your life.
Pretty much the same thing within the uh the media.
The more legal language that we see associated with a um uh article or story or uh subject, we know it's gonna have a much longer term value in time and have a longer impact on us, although not necessarily as emotive uh emotively severe.
And so that's what the tuning of the lexicon is involved with.
Now, there's the tuning that comes from having to deal with uh slang because slang comes up all the time and it's very important because a lot of slang words are now uh very common.
Slang from the previous century uh forms uh uh a very large component of daily life as it becomes um uh more mundane and and uh uh in some cases practical, uh, you know, all the technical slang, uh, this kind of thing.
So uh that has to be dealt with.
But then there's also, as I say, the just the change in the uh values of words over time as well as the um appearance of the new words that we have to put in.
So it's a lot of work.
And when I started off, I was doing this once, twice a year, maybe, uh, just because it was a lot of work and I was lazy, and I also had a lot of other things I was doing.
So uh it is very difficult to get this um uh into a process and fold it in.
I finally, you know, okay, you know, um flipped the switch on that and threw away my attempt to keep up with the immediacy language in order to favor the tuning of the lexicon.
I think I made a good decision.
We've we've lost the um capacity to do the immediacy data intelligence reports, which uh because immediacy data is just flowing through, and usually it has a value uh duration and time of like uh three days uh out to maybe three end of the third week.
So, you know, it's ephemeral, it it goes.
But it a lot of interesting stuff happens in there, and you can get real good clues to longer term stuff because the details of events are frequently found in the immediacy language.
Uh, but like I say, it's ephemeral and they go.
They um in any event.
So I decided to, you know, um favor the tuning of the lexicon, and we've been uh getting more accurate over time.
It's also been a lot uh easier to get into the um uh the progression of the tuning or into into a routine of it.
Uh once I've settled into like the second or third month of this, it's like, oh, okay, I can see a process whereby this can be um uh very effective.
And I can gain on the lexicon over time, because damn thing keeps growing on me.
You know, all you people are out there inventing new words, I gotta put them into this uh into this list and then get on them.
So every all you guys slow down.
Let me catch up.
Anyway, though, so uh the lexicon is uh getting tuned.
That's what I do the majority of the month now, and then I uh while the report's running, I sit down and um match up words against what I know as follow-through from previous months, so we have some kind of inaccuracy.
And basically, when I say tune, uh, we take a word like um uh doesn't matter really what it is, uh style, you know, as in fashion sense of style.
See, there's the another uh problem is all these words have multiple meanings, and you've got to do it.
The tuning on all the meanings that are pertinent to the process.
Now, a lot of times there might be 80 meanings to a word, and I only care about the top three, that kind of thing.
So it's really spotty, it's not like it's complete in any sense of the word.
Um anyway, so we have style, and we're gonna tune style, the word, and um it's uh its duration may change uh from one run to the other as it as it drops out of favor because it started off as a slang word.
Now I'm just using style as an example, it could be anything here.
Um, and so we get to the point where uh you have to go through and and check your existing words that that are uh key and valuable and you use a lot of uh right off the bat just to make sure that you're getting those done, and then you get into those words that have um uh uh that you've uh previously identified as having a good potential, but uh are not necessarily popping up all the time, but they're frequently enough and so on.
So there's a whole little routine to getting it done, and this does appear to be working, and the as I say the accuracy rate is going up.
Now, initially, because I started this uh process way back in the 90s using it with an intempt to um make money on the stock market and got um a sidetracked by reality coming on in and saying, hey, look at this interesting stuff.
Um but in any event, so we have a focus on money, plus everybody on the planet has focus on money since nobody's got any other than the the goddamn banks.
Uh anyway, so so that kind of brings a um uh focus to the lexicon that allows me to build on it from month to month to month and to gain out, so or to grow out with each month.
So uh, you know, three months ago I was able to tune, or or actually six, eight months ago I was able to tune the Bitcoin really well.
I revisited it uh three months ago, checked it again this month, and so we get a a um uh a good follow-through, a good progression on some of these words that are that are important, and as a result of which we see that our accuracy rates are going up and we're picking up more meaningful data as we go forward.
Uh a good thing here that dogfight has moved over into the other rooms table will stop shaking.
Anyway, so um uh that having been said, uh that was just an idea, give me an idea of what I've going through with the lexicon and why there are changes in the reports over time, as well as um uh why we have a um a variant in the accuracy rate, and it's because language is extremely fluid.
So uh I doubt we'll ever be able to get ahead of it, so to speak, or even stay anywhere close to it.
Uh, but in any event, the point of this particular um now that we're through the idea of the tuning um uh and what's going on there, the point of this particular little discussion here uh it is the um uh focus on Bitcoin, gold, and silver.
Because as a result of the tuning on the Bitcoin a few months back, we got that really nice prescient uh forecast of 408 to uh 428 for the floor.
I noticed at that point that we um, and this is back uh August perhaps.
I'd have to go back and check my notes.
Um maybe it's earlier in July.
No, it's August, early August, I believe.
I noticed that Bitcoin had slid up to where it was within one percent of the emotive values of silver, and that there was this associative link on a number of the subsets, and so uh I was tracking it fairly close because we were getting a um uh a response back uh from the data uh that uh indicated uh that we were gonna have this uh link between the the floors, if you will, of Bitcoin and silver.
And sure enough, that sort of seems to have panned out and held.
Uh it's uh I don't I think the markets are open at this particular moment.
It's uh 6.30 in the moment, uh, 6 30 in the morning here, so uh Pacific Coast, so I believe they have, and I'll go check in a bit.
And I think silver will probably be up today, whether we're talking a great amount or not, it doesn't really matter.
But in general, the trend with a floor at 428 for Bitcoin seems to have held the floor for silver at whatever it was at the point that we finally left 428 for Bitcoin.
Um sorry guys, I gotta apologize.
I'm not really um uh money guy, I don't know uh a lot of the language other than as I've been dealing with it in the emotive values so frequently I'll see uh words um in I think I'm about in the in the in the values I've assigned to them and then totally space out on the definitions.
It's gotten that bad.
Anyway, so um here's the thing.
Um I'm doing a big uh end of the year tuning.
We're gonna try and get the next uh report out in early January.
I'm hoping that there's not going to be any kind of a hiccup.
Uh there's enough data within the Bitcoin gold and silver that I thought I should do this now, just get it out to those people that are uh to whom it matters a lot.
The dog fights move back to over here, by the way.
Um to let you know that there's another link up, and we've got some more temporal markers for uh Bitcoin uh gold and silver.
Now uh a temporal marker, we don't have a calendar.
We I have a calendar, but it's just again, it's a guess.
It's based on the duration and carry values of the words, how when we first see them, um, and the projections and all kinds of stuff.
So our timing is kind of wonky.
We have a we have a pretty good range for words, but getting that range to line up to a specific set of dates uh is difficult because there's no the words don't come along with a date saying, oh, this one starts on this particular day.
Rather, the we get the words, and then what happens is that I have to plot them in based on uh when they're first seen, their duration value and then carry value, etc.
Uh so so again it's sort of a guess, right?
Uh, and then we find out later, oh damn, we were off by a couple of days.
This one shouldn't have started there, and it started three days later.
And that's why we not only have the the variance in the um uh the range of the words themselves, but when they become effective.
So you'll find that our timing is a little wonky sometimes, even though the description of the events and everything is quite quite good.
So we had a really good description of the 408 to 428 business, but I had no clue that it was gonna take over a month for it to pan out.
It said rapid in the data.
Well, rapid's a subjective kind of uh uh a word, in the sense that we have a definition for it, but we don't have a definitive um uh time frame that within which the uh data talks about it, although now we have a better clue.
See, because now I can go back and I can re-uh tune the word rapid because based in an economic sense, because now we have a uh real-world example of where we had the word rapid back in August or September that related to the 408 to 428 transit three times, and now we know that it took um five, six weeks for this whole process to occur.
So therefore, in an economic sense, the data thinks of the word rapid or provides us with the word rapid when something may take as long as six weeks.
Make sense.
And so I I can go on back and I can say, ah, uh a good good duration.
If we're looking at rapid in the economic context and it involves these elements, then a um uh uh value for that is potentially out to six weeks.
And so when I do an interpretation, I can come back and say, hey, we've got these data points here, they're associated with the word rapid.
The ergo when it does pop off, then maybe we're looking at a process of about six weeks for the whole thing to go.
So we've got a really good um peg or or hook to hang this thing on based on existing reality and and a successful interpretation process.
That's what tuning the lexicon is all about is going through that process, looping back, uh it's a positive feedback loop to attempt to make our accuracy level um better as we go along.
And and as I say, I think it's really been working since I've been getting into this new process of eliminating the immediacy data reports and getting into the tuning.
Now, uh for the Bitcoin gold and silver parts.
Our new um temporal marker for the uh oh, a temporal marker by the way, is something where we have a um uh like an astrological sign or you know a public event associated with some words, so we know that the these words are likely to pick up around this particular time.
And that that gives us a marker in time based on a certain set of words or a definition of a uh some kind of an event that's likely to occur.
And if we see that, then we know that aha, the interpretation and the forecast should proceed as follows.
Makes sense as sort of a hook uh that we can say in time that this element is connected with this point in time because of a description, not because I've arbitrarily assigned a particular position for it within our our model space, which is a lunar calendar.
And I won't go into why we've done that.
It's a really complicated graph.
Anyway, so our next temporal marker for Bitcoin is 640 to 650.
Now, we expect to see, I expect to see the uh 640 to 650 mark in US dollars uh in Bitcoin sometime shortly before a number of other events occur.
Now, uh the way when model space is being shown now, in terms of I'm running the models now and doing a lot of the processing at the moment.
Okay, it's right here.
It has a uh uh value uh that is associated with silver emotionally.
So the two are within one percent of each other of the um uh of all the emotional parameters that make up their descriptor set.
When we get to 640 uh or so there with the with the um um bitcoin in that range of 640 to 650, it's gonna set another floor.
When it's doing that, in that process, it actually is going to make an emotive shift, and it's gonna make this shift from values um similar to silver, and this is where it's gonna get real complicated or complex.
Okay, it's gonna so uh uh it's gonna take its emotive values that are currently within one percent of silver and start moving towards the emotive values of gold.
Uh people have different uh emotional feelings about that the two when they discuss them.
They're similar, extremely similar.
That's why they follow patterns, they're both money, etc.
etc.
But there's um an emotive response to them that's entirely different.
Uh and I can get into why later on.
Uh in any event, so uh so we've got this situation where we have a uh position of 640 to 650 in Bitcoin, and it's gonna decide at that point that it's gonna leave the bounds of what it thinks of itself or what we think of Bitcoin emotively, and it's gonna shift and to start becoming closer to gold.
In that period of time, uh the descriptor sets that we have show that silver is on the rise up, gold's on the rise up, Bitcoin is rising, but it's trailing behind them both emotively and in a um rate of rise.
So it's much more uh choppy, losing some, coming back up, all of that kind of stuff.
But there's gonna be a um within the data sets, we get a picture of Bitcoin at 640, 650, at the same time that we see silver crossing through a um uh or going through an emotional threshold as well as gold going through an emotional threshold.
Now, the emotional threshold is described as being uh a new high, okay, in dollars in US dollars.
So um uh so the 640-650 within Bitcoin is a temporal marker because of other things we can assign a position where we think that will occur, and I'll get into that in a second.
But that's a temporal marker for these new all new highs in uh um uh silver and gold.
Now, I don't have the words all-time highs or any of that kind of thing associated with it, but I do have new highs associated.
We have different kinds of other words within the lexicon that make me think that we'll will exceed previous highs, and that those previous highs will be going back to the 2011 period.
So I think we'll cost you know 1900 or whatever it was in gold and um uh cost $50 or whatever it was in silver at the time that we're about 640, 650 uh within Bitcoin, and Bitcoin has set a floor within that range.
That's when this other stuff happens.
There's a lot more detail about that in terms of the um uh progression, how the silver and gold actually move during that period of time and so on.
Probably it's all tradable stuff, but I think you're a fool to try and trade gold and silver, especially this day.
You need to grab this stuff and hang on to it.
Uh if you can get hold of it, uh you know, it's gonna be really good to have four and five years from now in a way that just like Bitcoin is gonna be really good to have four or five years from now.
So uh we've got the lexicon all tuned up.
Uh it's showing the 640, 650 range.
I think we're looking at 640, 650 within Bitcoin uh within a very short period of time uh in 2016, prior to this March-April um paper debt debacle.
It's not just stocks, it's not just bonds, it's all kinds of weird stuff going really wonky with the paper debt throwing all kinds of people uh in the chaotic situations.
There's huge amounts of layoffs associated with it within the um uh the financial world, uh, you know, Wall Street guys, that kind of thing.
So I think it gets so bad that they fire a lot of people.
You know, those sorts of things.
But at the same time, we see a big boost in Bitcoin use.
We see a uh within the data set showing up now is this descriptor of the entry into a period where there's uh a silver market gets shut down for like 35 days here in the US, not globally.
So I could wander on up into Canada and buy and sell silver.
I just can't do it here in the US for some reason.
And I'm not sure what that reason is.
We have some hints now that maybe it's because there's a physical settlement process going on in other markets.
That is to say, there's other ways, other places to buy physical gold and silver, and so there's true price discovery, and thus the uh fake price discovery here in the US collapses.
Also, though, from a US centric uh viewpoint, during that period of time, we get gold going ain't none, you know, or or as they say, no offer.
But but basically there just is none to purchase.
Uh you'll see it go right out of eBay.
There just won't be any gold off eBay no matter no matter how much you're willing to pay for it.
Um people will be selling um trinkets uh that happen to be gold plated, and those will be selling.
Uh it'll be that bad.
I mean, people will be trying to get any kind of gold they can.
This may happen as rapidly as I say as March or April.
We may be looking at this uh across the uh end of January and into February, insofar as some rather major events are concerned.
Uh we I don't have a descriptor or any um indication of what those events might be at this point because of the way in which I do the process of the interpretation.
I look at different things first so that I get closer to the immediacy data at the time that I'm doing the actual write-up and thus get a better view of the um uh details.
And I can provide those for people as we go forward.
Right now, so basically what I'm looking at right now is a very large bow wave for some kind of an event, but I I don't see the ship that's pushing the bow wave or that far away from it.
But I'm feeling it in my little boat here, and we're starting to rise up.
And so uh uh there's this uh sort of leading edge kind of an effect coming off of this.
So there's going to be a series of events, whether they will cause the and they're all clustered, and we know that they're uh from the data that we're looking at now.
I've been talking with Igor on this, and the way in which it's flowing in, we're seeing it cluster in and pack in fairly tightly.
So we know that there'll be a series of events that will be impacting the media within a short period of time.
And then on the other side of that, we see uh the 640, 650 gold.
Now, how far distant I can't say yet.
We haven't gotten that close to the data.
I'm just pointing out the 640 uh 650 in Bitcoin and then um the new highs in silver and gold uh in US dollars.
But uh again, you won't be able to trade this at that point because apparently the markets are shut down uh uh or broken or you know, dysfunctional in one way or another.
Uh some of this may relate to the dollar.
There's all kinds of uh new language for the dollar shaping up.
Again, I haven't gotten into the details.
I just wanted to bring up this particular point that uh Bitcoin, gold, and silver may be as early as the end of January and the early part of February, we might see these events.
We may see a very rapid reaction in Bitcoin, gold, and silver.
I have no way of knowing at this point or can't forecast that just yet.
Uh let's see.
But but just to shut this all down and get that idea across here too, is when the new high in um uh gold goes through, at that point, we then see Bitcoin uh doing this little kind of like jump in terms of its all of its emotive values and moving out of the range of silver and closer to gold.
So uh the progression of uh Bitcoin relative to gold relative to its emotive values once we pass this particular threshold, it's going to be very interesting because we'll see Bitcoin 640, 650, we'll see silver and gold set new highs.
Then at that point, Bitcoin will suddenly jump up and start really uh ratcheting up towards gold, and that's gonna start this whole process all over again.
Um further on down the road in 2016.
Uh and it has to do with the emotive values of Bitcoin uh leaving that of silver and becoming uh more like gold.
And when it does that, we might see Bitcoin gain um two and three hundred dollars a day in its uh leap from the mid-600s towards the you know lower 2000s because gold should be at the lower 2000 level uh around then.
Uh uh we're gonna I'm gonna try and detail some of this as we can lay it out in the report.
Uh I've got some of it written up already as we go forward in the uh in the process of the interpretation for this January report.
Uh I'll see if I can get enough long-term data to get us a um uh more temporal markers uh relative to the shift in these things.
And then one last uh okay, so that's uh that's it relative to uh uh the economic stuff, and then one last thing on our um uh Stannis adventures, our tin adventures.
Uh tin is a very expensive wire to deal with, it's available.
Uh it's like $96 for 64 feet.
But if uh somebody had an inclination to do a rodent coil and do uh rodent style windings, uh because of some very early uh preliminary success I've had in much simpler uh structures uh with tin,
I think that they would find that their um uh the magnetic uh effect that they're attempting to achieve the levitation effect of the rodent coil when the uh currents fed through will be greatly enhanced by eliminating some of the copper and or eliminating all of it.
Now I haven't done gone to an all uh tin winding because I can't afford it.
Uh but I did take a um uh rotor stator mechanism apart and uh redo some of the coils.
Um and uh it's a really junked up old motor that started off as a three-phase thing.
Anyway, uh and it was into two phase, but I eliminated half the circuit and uh what was remaining.
I took about a third of that and replaced it with uh tin.
And the effect is quite quite remarkable just in that um uh uh application.
So uh somebody who might be involved in rodent coils, you should, and if you if you have the money, it'd be very expensive.
I mean, I know there's a lot of windings in the rodent coils, even the small ones, and you know, 96 bucks for 64 feet or whatever it is for tin at the two millimeter size is uh you know it's not cheap.
But the uh the effect is is truly quite astounding.
Uh killed a watch, absolutely killed a watch that was uh accidentally uh being worn and and uh moved into the field.
So uh, you know, really powerful.
And this was one of the you know battery powered little um digital watch things uh in its circuitry is just shot.
Uh so extremely powerful uh magnetic field generation there, just goofing around with it.
Anyway, that's all guys.
Sorry it took so long.
Uh next time we won't have to discuss the lexicon tuning and how that stuff works and why we're at this.
Anyway, good luck to us all in the new year.
Probably this is the last of this for this year.
Hopefully, anyway.
But I am getting my office sort of put together in the yurt setup, so we'll have a studio going all the time.
So it'll be easy to do these.
All right.
Uh dog fights uh aside.
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