From: Dr David Yurth

 

26th April 2007

 

The Standard Model of physics and String Theory

 

According to the standard model everything that exists in the cosmos at all scales is nothing more nor less than the reorganisation of everything that was created in the singular event referred to as the big bang. As far as physicists are concerned, everything that exists today was created fifteen odd billion years ago and all we are witnessing by investigating the cosmos is the reordering of all that stuff.

 

String theory has a different story. In Brian Green’s world of strings, it is necessary to view the cosmos as a complex field comprised of many dimensions within which eight domains operate to define the way primary oscillating ‘strings’ of information combine to make everything else.

 

Both models fail because they are both based on the same set of flawed assumptions. The constant, unchanging speed of light which is the absolute upper limit of all possible velocities at all times and places, and under almost all circumstances – it’s the exceptions that give them fits. The notion that the four primary field effects are indeed primary, that they pre-existed the big bang as separate, mutually exclusive and distinct field effects which exerted their effects on all the stuff created at the instant of the big bang to drive the subsequent reorganisation of matter and energy.

 

Y-Bias - Clarification

 

In order to visualise Y-Bias it is helpful, if you can, to step out of the conventional model and attempt to as it were, slice the whole ball of wax called physical reality from a completely different angle. If you understand that the physical vacuum is simply a term for the underlying plane of infinite potential, where nothing is dimensional and all things are possible, where the irresistible pressure to evolve is driven by the field of infinite potential, then we have a starting point.

 

The Y-Bias model tells a different story to the standard model and string theory. It says that in the physical vacuum, the fundamental nature of the undifferentiated stuff comprising the field of infinite potential is simply information.

 

All of it. And the process of ordering the informational possibilities is governed by a set of rules – we call them self organising criticality, but any name will do. It is because the rules operate with absolute consistency at all scales, including and especially at the primary scale, which is called the zero point, that the field of infinite possibilities is eventually organised into a physical reality with deterministic characteristics.

However, all possibilities are not equally viable, feasible, stable, balanced, survivable or otherwise sustainable. The rules say so because it MUST be so.

 

So let’s talk about what Y-Bias refers to. At the zero point, informational possibilities constantly operate to find expression by joining with other compatible informational possibilities.

 

The things that would be created if they were to actually join with another set is virtual. It is possible, if not yet real.

 

And out of all the infinite number of possibilities that DO join up with each other in this virtual state of possibility, some actually combine in ways that produce a brand new thing – a thing that has duality.

 

The physical world is defined by duality – that’s what makes it physical and discernable – and in a state of duality not everything that is possible can exist in reality. For example, there is very little anti-matter to offset matter. Why? Because it is not sufficiently stable in this dimension to sustain its self.

 

Duality is nothing more than the actual elimination of other possible means of combining and expressing the organisation of information. Thus, that which does exist are the actual values derived from an interaction of virtual ensembles of possibilities which forecloses any other alternative realities.

 

So what do we actually mean by the term Y-Bias?

 

Until the virtual ensemble in one possible axis point interacts with another virtual ensemble in another possible axis point, nothing happens. However, when the ensembles intersect and become real – as defined by duality – what was undifferentiated before can now be considered directional.

 

A bundle of information operating in the X-axis then can be said to intersect with another bundle of information in the Y-axis to create a sub-quark.

 

The interaction can therefore be referred to as a Y-Bias interaction because it is at the zero point scale that virtual ensembles intersect with each other to define what instantly becomes x, y, z and time in the local address where the product of their interaction is to be found. Voila! Y-Bias.

 

Angularity - Clarification

 

Angularity is equally pertinent. The thing which differentiates one Y-Bias interaction from another is the angle at which such interaction occurs. This is a simple finding, but the implications of it are quite profound. Here’s how we think it works. When one data set intersects with another data set, the angle of incidence between them is dispositive, that is to say this angle is the determining factor in the outcome. This is thoroughly consistent with all sorts of long standing scientifically validated data. That is why, for example, when a mass of cold moist air intersects with a mass of warm dry air, the angle at which they intersect determines whether the product of the collision will be a tornado, a hurricane, a water spout, or just a violent thunderstorm.

 

The angularity function is entirely local - and the way the locality is defined corresponds with the evolution of fractal patterns – so this is why no one has been able to predict when, where and at what magnitude any weather related events will occur. They can’t predict it even when they have cameras trained on it from space and are watching in real time. This is because fractal events are not local and not linear. The means, in simple terms, that when criticality is being approached, the self-organising point of criticality is a product of a fractal interaction which has no relationship whatsoever to any prior events except that its location, magnitude and timing can be plotted with respect to all similar events in logarithmic terms, as part of a single straight line with a single continuous slope.

 

When the angle is optimal, big things happen that stay big for a long time. Hurricane Katrina is a great example. The Indonesian Tsunami is another. The formation of volcanic islands in the oceans, the extinction of species, the distribution of populations around certain kinds of geographic areas, the standing wave that develops in rush hour traffic, the rises and falls of the world’s stock markets – all these things and many, many more are all the products of optimal angularity in the intersection of bundled data sets. When we angle permanent magnets at a precisely calculated angle with respect to other magnets in an electric motor armature array, the net energy efficiency of the design suddenly leaps exponentially higher than it was before – angularity is the key. And here’s a kicker for you – the optimal angle defined by the Fibonacci series of numbers reigns supreme. It’s the precise slope angle of the pyramids found at Gaza.

 

So, Y-Bias and angularity are the two interactive principles around which everything else seems to click – or not click, as the case may be.