trulycoined, excellent insights! Much appreciated.
The idea that Socrates is able to essentially reconstruct current cycles from ancient ones based on the notion that what has happened before will happen again as produced by ancient interrelated markets is a really good idea. If gold was dropping while interest rates were doing this while another thing was doing that, then the same thing should unfold today. The problem, as you mentioned, was one of incomplete data, akin to the fossil record- Armstrong says that the workings are enough to justify its validity, but if you can't find enough of the ancient coins in sufficient sample sizes across various eras and conditions, then it can lead to faulty conclusions. This is assuming he correctly identified and correctly correlated these factors to the correct degree-if at all. I would like to see his methodology made public, but due to paranoia, I doubt we will. Something crowdsourced would be nice, even if it isn't forecasting financial markets themselves.
I disagree with the idea of short term being harder to forecast than long term, but we can leave that for now. It doesn't really matter either way imo.
Eagle, do you think social sentiment is also fractal like markets? I believe so. When there comes some kind of controversy or issue of the day, there are some kind of ideas and such that most people won't cross- but there are catalysts that seem to change the way people think about them and suddenly they change. And the new conservatism becomes old and outdated. Social sentiment can have support which becomes resistance, even in concrete terms- but being able to define and isolate them is the hard part, I think.
@bikefrontYou make a brilliant comparison with the fossil record. And that is EXACTLY why I questioned MAs model to his face. He was dismissive and I wasn't left particularly convinced. In fact, it was that moment I begun to question my opinions of him and his work, only because I work with data on a daily basis in my job. It is in advertising (though I trade in equities in my spare time). And even an industry that is this basic and goes no where near physics or advanced mathematics - you NEED lots of data to create accurate forecasts or use it to make decisions with confidence. Why MA would be so dismissive of that I thought odd considering my work is high school level at most, and even I know the pitfalls of sampled and incomplete data.
On a global level across every conceivable datapoint you can think of, is it really possible to use the historical coin record, plus what socioeconimic data exists (allegedly fed into his AI machine), to make prophetic calls on the future? I don't know. But here is the thing:
Working in advertising, and also investing in the stock market, I do know human behaviour is predictable. Like how you can predict the behaviour of a simple animal, the same can be done with humans, it is just more subtle.
I have for long felt MAs ECM is simply a way of predicting
human behaviour, which is also why it might at times become a self-fulfilling prophecy. It thus has little to do with physics or even Einstein-level mathematics. It is measuring human behaviour and predicting what that behaviour will do next. That IS easier to predict than something that requires untold volumes of data and an AI supercomputer.
It also might be why his predictions are sometimes correct, and sometimes wrong. On a simplistic level, imagine trying to predict where a dog might run if it had 50 acres of fields. Now predict what might happen if it hadn't eaten for a day and was presented with a sausage, while 50 acres of field was ahead of it...
I will explain more about that theory and (to keep it more on topic with this site) how it relates to bitcoin end of this post!...
@MA_talkI see your point and actually agree about short term being easier to predict. However, I am thinking about very short term and specifically trading the markets. That is difficult.
Likewise, I get your longer term observation as well, but then perhaps for major events where there is less that can heavily influence the immanency of that event (e.g. a stock market crash, recession, etc), then maybe that is easier to predict?
If only his predictions were logged on a public G Sheet, then there would be red hot evidence to either prove or disprove his theories and predictions. He produces so much blog content, and it is so difficult to find old blog posts (perhaps why his site is so poor), piecing together everything takes too much time, and most of us have better things to do.
You write:
"it is NOT possible to predict things BEYOND a certain time-frame, simply due to not enough bits for numerical precision, but most often, due to inaccuracy of the data measurement"This is spot on. Once again, in my basic line of work, I must deal with sampled or incomplete data and the major issue is no system is infallible and no data collection is accurate. Thus, at times, digital measurement is no more accurate than chalk and slate. Strangely, few people seem to realise this, always seduced by technology, and especially through this digital revolution.
Where this ties into MA: how can his model be so accurate, where there is missing data points, data that may have been recorded inaccurately or even faked, and so on and so on? That is why I asked him that question at the WEC. If poor data hygiene is not good enough for my very basic industry, how on Earth could it be good enough for a model that predicts major events in human history? Unless there is far more to his ECM than he is letting on, no one knows and probably never will. That said, I do think there is something with his ECM. May 2019 and Jan 2020 will cement my opinion. His Socrates might just be a
beard to try and legitimise his model better, or scoop up some easy cash for his "posterity" - a word he often uses on his blog.
I do see the link between unconnected systems, which is where I do share some arguments/theories with MA. In fact, I got into him having stumbled across his blog around 2016 and found him writing about things I had been speaking about for years. As one example, I can see similar patterns in an ad platform vs a stocks and shares trading platform. Likewise, there are similar laws of physics that - when measured and charted - are true of a car engine, an ad platform, and a stock market.
I think that is why MA describes the universe as fractal, and that too is found all across nature. It is just difficult to prove and nor am I a physicist, so should I ever write about this, I would end up with similar levels of criticism and no real way to back up my theories. It would just look like junk science.
Does the ECM just predict human behaviour: the bitcoin example?First I have not invested in bitcoin and see the hysteria of it similar to popular penny shares, where the latter was something I used to invest in many years ago, and found out the hard way. If memory serves me right, MA did correctly call the high in Bitcoin end of 2017.
I saw ALL the same behaviours with penny shares as I did with bitcoin when it exploded into Jan 2018, and also had a very good idea as to where it was heading as the smart money had long sold up. Friend of mine piled in - I warned them - and they are now nursing a large loss. Investors fallacy.
Working in advertising (and investing on the side), I am only too aware of human behaviour and seasonality (more applicable to advertising). The latter in particular can be a huge mover of performance. Think about selling children toys in February instead of Xmas; outdoor plants during autumn and winter. You get the idea.
With that, I commonly check Google Trends. While that is not an "accurate" resource, as its name suggests, it is ideal for spotting trends. That is useful in my work where there might be unexplained drops in performance.
Back in Dec 2017, I checked Google Trends for worldwide bitcoin search volume and noticed it mirrored almost exactly the real bitcoin price. Keep in mind I knew little about bitcoin and had barely even read up about it. My friend was screaming about it, which spiked my curiosity (he too works in advertising). I know many others might have done this, but it wasn't until a few months later that respected analysts in the field had noticed the link with the
bitcoin price and Google Trends and articles were published about it.
Another friend worked in banking. I told him about this at the time and he was unconvinced G Trends was a leading indicator of BTC price. However, he had access to Bloomberg and plotted the volume of published articles vs BTC price and became more convinced there might be something in the hysteria, where the price then played catch up.
Here is the link to predictable human behaviour and the price of bitcoin:
1. You can only buy bitcoin online. There was no other "route to market" if you wanted to purchase it unlike say "real" commodities or equities, which can be purchased via telephone or institutionally, adding further volatility and unpredictability. That meant Google Trends
could be relied upon as an accurate indicator as there was only one measure: online.
2. Bitcoin is just bitcoin. It is a medium of exchange and not a business or physical commodity where countless other variables may affect the price.
3. VOLUME was also key, where if trading volume was high + Google Trends search volume spiked, it became much easier to predict where the price would go. If trading volume is low and Google Trends showed a spike in search volume, it becomes much more unpredictable.
4. Then my own understanding of predictable human behaviour, as observed with penny shares (the same thing was going to happen - the masses buy the high, and end up selling the low), and I will reference my dog and sausage analogy again. The fact it could only be purchased online also made it easier to predict the price using an indicator like G Trends.
That example is what I think the ECM is doing. It might just be finding those predictable human behaviours and then MA articulates it into his future prophecies.
One final example of this: November 2017, Oxford Street, London. Someone ran out of an underground stop in great distress. Someone saw this person and became distressed, then another, and suddenly the entire street was running in all directions. Said banker friend was actually caught up in the pandemonium (he was driving) and messaged our WhatsApp group adamant it was a terror attack. It was a false alarm! A classic case of herd mentality and perfectly illustrates my point about predictable human behaviours, and also how human nature never changes after 1000s of years, even with today's tech.
So to MA's ECM model. Maybe he too understands it is easy to predict human nature/behaviour, but needs a scientific explanation to articulate it and give it "credibility", hence the 8.6/pi explanation?
Everything else is just well researched e.g. economics, history, law, the environment, of which I do think he is highly credible. However, he DOES have credibility as he advised major political figures, and allegedly still does to this day. If Farage is attending the Rome WEC next week, then he must have connections and be well respected. Those political figures would not be hanging around with a fraudster. Thus, I find the harshest criticisms of his work on this thread unjust, unless he is the male equivalent of the Theranos CEO, only he still hasn't been
found out yet.
The best thing with any of this is be sceptical and question everything.