New Declaration of Independence

/* New Declaration of Independence:

Under no circumstances are you to use this code with the intent of enterprise
or individual gain

If that gain is not a direct benefit to a human instinct
or rather for the benefit of an group entity or corporation

All individuals contributing to this system feel free to sign your name
handle or monicker to this preamble of code.

Until a point in which the Operating System this is intended to found
is reached; all individuals contributing are free to advertise
and to separate their works
herein, and not-with-standing until the end of time: for contribution
as a matter of salary or support by donation only

No rights are given to sell that which is not ours to keep.

-First signature to the new constitution of our Independence:
Eric C. Dee May 22nd, 2019

*/

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Born Into That

There is a sound in the floors
On the walls

In the tv

It is the manipulation of matter

Issuance of contract
To forgive
Forgo
Forget

This is the death
A manipulation
Letting yourself read;
Thinking: A good thing

It is me they chose to sublet

A malice and fortune, good politics; position. Anything but
The one single word.
I am only oppressed

This house is a torture chamber
Which I am not allowed to leave
And I will not forget

The days where you held your pieces – over the whole of humanity.

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Molecule Syncopations

These were determined using Binary Values here:
https://docs.google.com/spreadsheets/d/1fQeR60hEtrFjFtZGwsxGu4vBp9jloxUdEG975K7j-YA/edit#gid=1200964269

 

DNA:

Molecule Linking (Creating More Rational DNA)

For reference, this is what a real strand of DNA looks like at a distance

DNA De Sync – Adjusting DNA properties

Alternate DNA recreation (VST)

Rudimentary Hydrogen Chains

Double Helix Recreation 2

Please note the frequency values; 360 hz (circle), when using 2/3 type voltage. Evening the values out brings frequency high to 528 hz. Unironically this matches the solfeggio DNA value.

Double Helix Recreation 1

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Wave Syncopations

DNA Wave Syncopation

General Wave Syncopation

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Binary Pyramids

This is what the Periodic Table looks like translated into binary values (per element). This is only 26 elements in: up to Fe (Iron). Zoom in and out here to get a perspective (in the sheet labeled “Binary Pyramids”).

https://docs.google.com/spreadsheets/d/1fQeR60hEtrFjFtZGwsxGu4vBp9jloxUdEG975K7j-YA/edit#gid=1200964269

A massive question is now brought to the table of what the ethics surrounding these values mean. As of today, we have officially developed the capabilities to simulate that of a complete universe. This requires a total shift in the way we see things.

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Rebalancing Systems & Modulating Cell Size Through Electrical Current & Apoptic Behaviors

Please reference pictures for recent results in cell modulation below as needed:

 

It is now hypothesized that this method can be improved upon and added to in order to completely reform or repopulate an environment of cells.

 

This is a second step in a series of experiments conducted over the course of the past 4 months.

 

As determined during apoptic behavior in my previous study / results, cell states are enforced upon by the vibrational rate (frequency) of the introduced current; or in other words, size is restricted by the rate at which a current is oscillated, which is a factor of capacitance or allowed space.

 

If the threshold for a cell is breached in a stable and consistent manner it will die or divide. Upon death, reformation is possible.

 

Previous hypothesis:

With relation to self regulated apoptosis as a result of the introduction of current; it had been hypothesized upon findings and within the bounds of variable cell theory that the matter of blood (cells) is strictly an outcome of two – to many point differences upon a wave (pressure) and as a result of time; frequency.

 

These findings have been expanded upon:

As hypothesized to now prove the regulatory capabilities of the size of cellular structures, and that cell size by frequency will have a limit. Due to correlation between these binary ratios: link. It is also hypothesized that these findings will be replicable by reducing frequency.

 

As frequency is increased, allowed space is also decreased; resulting in smaller cells. As frequency is decreased space is increased between wave positions; resulting in larger cells. Due to scalar possibilities, there are thresholds where these rules are hypothesized to invert. Those thresholds are still yet to be determined.

 

The cell combinations to form molecules are variable as a result of this, and smaller cells may result in capabilities for growth due to spacings and allowance; along with alternating pressure. Larger frequency rates (longer waves) are likely to result in smaller molecules if a structure is already formed, as the structure will be required to adhere to the wave, and if it is not large enough already will be enforced upon to react and find ways to fit into this instructed state. This is already seen to happen in males if testosterone levels are too high, and the testes shrink.

 

A modulation between the two frequency states and cell sizes over time may influence cells to enact specific behaviors. Besides the growth and size reduction in both Red Blood Cells (RBC), and Phagocytes which I have documented; those behaviors are also yet to be determined, and will require more study along with replication of results, some of which I will be able to determine in the coming weeks.

 

I am also beginning to find that some wave forms seem to affect cells more effectively than others. Square waves for example (100% on 100% off – not to be confused with duty cycles) seem to enable apoptosis at higher rates, likely cause is there is no slope contained in a square wave. Sine waves are expected to result in better buffering or over-all less invasive technique.

 

This was the first noted change in cell sizes. It has been found that smaller cells will gather outside of larger cells; apoptic cells will gather outside of healthy cells, and healthy cells will gather towards the middle of each slide and in places with more space. Sometimes visually healthy cells appear to become apoptic within about an hour of spending time in a confined space indicating again that this is a result of cellular and environmental pressures; where the instability becomes apparent without movement, and the cell itself was not stable to begin with.

 

These images are all taken immediately after blood withdrawal. It is very difficult for me to show what I am seeing as the microscope I am using has a very short battery span, and terrible storage. Now that I know what I am looking for I will be able to better document the changes, but there were points where the cells which were clustered were just fractions of the other cells in size. You can see this yourself in the images. Often they were embedded into the larger apoptic cells as shown in the video on April 8th.

Here:

This was the first indication of cellular size differences, which took place after 2 weeks of documented apoptic behavior. It is possible that it is first required to reset or “reboot” the system via cell death in order to instruct the cells to build at a different size. Or at the very least that apoptosis will aid in the frequency at which these changes occur.

 

Images 100-004 8th is where this is visible. I also found that within days Phagocytes were no longer exponentially enlarged and reduced to regular size. You can see these changes over time in comparison to the previous pictures found in Microscope Journal.

 

Take note to Phagocyte size in relation to RBC changes.

Monday, April 8th 2019 (∿ LH(1)15.38Mhz (Static) ⎍T(4)3.764Mhz)

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Nothing much changed visually here, and I am still waiting on the calibration slide I ordered.

April 10th (∿ LH(1)15.38Mhz (Static) ⎍T(4)3.764Mhz)

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Most recent visualization.

April 11th (∿ LH(1)15.38Mhz (Static) ⎍T(4)3.764Mhz)

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I will continue to document changes. As soon as I feel the cells are stable and consistent I will start to use Hz values again to see if the cell sizes increase.

Points of interest:

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This is what makes waves (Unified theory Pt. 2)

This is a continuation of Unified theory here

This will have to be considered in the context of binary numbers (down to the quantum fundamental)

What is needed?

An understanding of basic switch logic, and the operations for the 555 timer.

 

Here is what this looks like as a translation of elements from the Periodic Table:

 

Where do we begin? With the number 16:

 

16 = 12/3 = 4

  • 4 = 16

 

What? This is somewhat confusing at first I know. This tells us we have a 16 mid-point to simulate a universe; as a value of bit depth operators (registers). We need to be able to fit both 3 and 4 into the whole simply. 16 (12) is the only way we can do that.

 

But that isn’t 16? You’re right, but neither is any number when you value them as ratios against a larger piece. 16 is seen as a value or portion of the whole.

 

Where am I going? So we know there can be 16 bits here, and that 16 can be half of 32 (the final atomic shell value).

But don’t atoms go 2, 8, 18, 32? Yes – they do. You’ll see why soon.

 

As previously discussed, the universe has registers, which compound upon one another and divide into eachother based on voltage, or pressure values (wave peaks). There are point values which must meet or exceed thresholds in order to create new atoms, combinations of atoms, or cell divides, and we need to go a little bit off base in order to come to the accurate conclusion.

 

Since there are bit values that must be defined to complete one specific function; which is to transfer a bit to the next register, there are some missing links. For example, 11 at the end of the register will enact a transfer, so those numbers are never truly used and are transitional numbers, like 9. This means we have 14/16 possible bits we can use, because at the end of each register we have a reserve value.

 

When we are using for example 6/8 bits, we know that the number 12 will cause a divide, but the total depth of the registers was actually 16. Just like you see above. Now this should be slightly less confusing, and as we work with these types of operations more and more the numbers become intuitive, as the relationships are seen over and over again. Especially in real world calculations.

 

So what about the 555 timers? This is where it gets interesting.

 

Knowing there are computational values to each provisional point across the universe, and that these values are inflating to create peaks and divots, we can conclude that there are sub-divides. When you introduce a voltage into a circuit, you enter 1 whole value. Introduce a transistor, and you can gate the value to inflate other values when thresholds are reached.

 

So we have 1 bit + 1 bit

1100000000

 

Now we connect these bits using an AND gate; which reads specific values (11, 01, 10). When the 11 is triggered, it opens a new gate, and pushes the 1 outwards. This then closes the gate until another 11 is received:

1010000000

1110000000

1011000000

1010100000

end

 

That’s pretty cool right? It definitely is, but let’s add a 555 timer to that.

 

These timers open and close gates based on voltage values, of 1/3, and 2/3. If for example 1/3 voltage is received out of the total circuits input, a gate will remain closed. If a threshold value of 2/3 is reached, a certain gate will open. — So preferably at the very start, we gate each bit individually. When the first bit reaches 2/3, a movement occurs. This is basically saying are you 0 or 1?

 

If 1 (2/3 or more) then current is allowed into the AND gate through the 555 timer, and the first 2 bit allocations are interlinked. This can happen in succession numerous times to end in a fully linked register of 8 total bits, and you can then use the 555 in conjunction with a second, third, or fourth register to continue the pattern. This introduces scalar results and universal values.

 

It happens in such a way that later on 1/2 is used too, and the excess values get pushed outwards and balanced. The use of AND gates can allow redirection of current back into open bit locations which have moved into 0 states. (we see this in atoms when d orbitals begin to fill)

 

We can route all of the registers into another 555 timer to create a whole new register as well.

 

So now we have 1 universal bit, and that is two 1’s (11); or an output. Which is the trigger for an AND gate. This is what a wave looks like:

 

 

Each 2 bits connect through AND gates to other fractions of the next register

They are themselves also connected through AND gates, and controlled by a 555 timer.

 

https://www.electronics-tutorials.ws/waveforms/555_timer.html
https://www.electronics-tutorials.ws/logic/logic_10.html

 

But that isn’t how binary works right now? No it isn’t and neither is the universe.

 

Some notable values in this are 16 / 3 = 5.33, and 32 / 6 = 5.33. You will find that dividing element values by 118 also tend to end off in .333 and .666 values. Just like the operation of these gate and timer types.

 

Now how can we apply that knowledge to build a computer which has the same aspects of the space which we frequent?

 

We have to either realize that 8 can’t be a value; due to the final bit restriction (11), or we need to use 9 bit registers. I am going to use 2’s now. Consider these to be already formed atoms. Each two is made up of two 1’s (11). It is essentially an AND gate connected to more AND gates.

 

We have

2 _ 2 _ 2 _ 2

With a 555 connecting each, we get these necessary values to push the bit into the next gate;

2_ 3 _ 4 _ 6

 

That means for each atomic first shell, we need 6 minimum AND thresholds to be reached through the use of 1/3 sub-divides in order to begin the next shell.

 

There are 3 good ways to visualize this. The fundamental, the group, and the orbital. I will start with the fundamental, move to the group, and then show orbitals. The fundamental is the base 101 format. The group visualizes the total amounts of 1’s as separations; factors of 2 (1/2). This works because of the rule of ratios and their separations within the register. Finally I will show orbitals which visualizes how these spacings look in real life application.

 

Fundamental:

 

So for shell 1 (2);

We get 1_1_0_0_0_0_0_0 (takes 2 bits to flip (think in terms of voltage for the timer)

You must understand now that 0 is a value. Electrical gates can close or open if 0 is applied; so in binary, this is actually a number. It is more like 1 and 2. I’ll show you that in the group explanation. It’s actually easier to understand than this one, but this is how it really works.

 

This gives:

(1_0_)(1_0_)(0_0_)(0_0_)

That is 2 bits total to pass into the next sub-register (through the gate).

This creates Hydrogen. With a nucleus, and an electron. See how there are 4 total sub-registers though? That’s where Helium comes from. It’s also where groups (shells) come from. It’s also where orbital patterns are derived.

 

For shell 2 (8);

Now we have 1_0_1_0_0_0_0_0

It takes 1 bit to flip again (3 total bits) then it balances – We’re making isotopes here.

1_1_1_0_0_0_0_0

1_0_1_1_0_0_0_0

1_0_1_0_1_0_0_0

(1_0_)(1_0_)(1_0_)(0_0_)

Now we have 1_0_1_0_1_0_0_0_

It takes 1 bit to flip again (4)

Isotopes occur until you reach that point (7 total) – then Helium exists

1_1_1_0_1_0_0_0

1_0_1_1_1_0_0_0

1_0_1_0_1_1_0_0

1_0_1_0_1_0_1_0

(1_0_)(1_0_)(1_0_)(1_0_)

Now we have 1_0_1_0_1_0_1_0 (Helium)

You can see right away why there are only 4 total Isotopes of Helium

We have to visualize two registers now.

It takes 2 more bits to pass through the next gate (6)

(1_0_)(1_0_)(1_1_)(1_1_)

moves to

(1_0_)(1_0_)(1_0_)(1_0_) AND (1_0_)(1_0_)(0_0_)(0_0_)

These are always moving by the way. + and –

Now we have Hydrogen + Helium. See why Isomers occur?

We have an AND gate connecting another register, but the voltage is sometimes too low to surpase 2/3. You have to remember now that each separated bit is linked by a 555 timer which requires 2/3 threshold to be breached in order to pass the next gate. Some numbers move around depending on what’s outside of them. We’re only two elements in.

So this really looks like this; with the values passing back and forth in the first register like a wave:

(1_0_)(1_0_)(1_1_)(1_1_) AND (0_0_)(0_0_)(0_0_)(0_0_)

but the good news is we hit 6 bits, so that AND gate opened up when 11 hit, because the 555 timer opened its gate. We just needed the right moment. The gate was open due to voltage but we were waiting on the numbers to shift into place.

(1_0_)(1_0_)(1_0_)(1_0_) AND (1_0_)(1_0_)(0_0_)(0_0_)

 

Finally:

Add 2 bits, and you get a working wave which has held itself in place.

(1_1_)(1_1_)(1_0_)(1_0_) AND (1_0_)(1_0_)(0_0_)(0_0_)

 

These numbers now pass themselves around without exceeding the second registers 6 volt threshold. Unless something comes along and inflates it by introduction. You need either 11 volts (bits) for a full shift to two new registers, or 2 more bits to move along. The thresholds grow and it takes more to change things as they are passed. It’s actually probably easier to do all of this with 9 bits rather than 8;

 

(1_0_1)(0_1_0)(1_0_1) AND (1_0_1)(0_1_0)(0_0_0)

That is because each register timer requires 12 bits or volts exactly instead of just over 10. Otherwise it’s all generally the same, the ratios are just slightly different. The computational world is based on 8 bits, but that isn’t a universal rule. We just never tried it this way. You can look for ways to use the 9th bit as a non voltage required (single digit) pass, or rework the ratio sets to operate in the same way.

 

It gets really dizzying after all that, and I am still working my head around how to do each atom individually, but you can see that we broke through the second ratio eventually and they work for both atoms, and the shells. All of the atoms in our universe are basically circles stacked on top of circles. This is why everything is always moving, and flying through space. I’ll come back to that as I build a physical computer model that can use this system. For now it’s much easier to use the group setting. As you can see, there were 2 total registers with 8 total sets. We’ll start along those lines.

 

 

Group:

 

Use this to view things in a simpler format. The other way isn’t needed to calculate things right now, but as soon as you get the hang of it, start to take things further and use the foundational values.

So for shell 1 (2);

we get 11_0_0_0 (takes 2 bits to flip)

1_0_0_0

 

For shell 2 (8);

Now we have 1_0_0_0

It takes 2 bits to flip again for a higher tier 11 (4 total)

2_0_0_0

It takes 2 bits to flip again, and 3 bits to exceed 2 by 2/3 (3/4)

2_1_0_0

It takes 2 bits to flip again and open the next gate (8 bits total)

2_2_0_0

2_0_2_0

 

For shell 3 (18);

Now we have 2_2_0_0

It takes 2 bits to flip again

2_2_1_0

It takes 2 bits to flip again

2_2_2_0

We start to fill into the next register now though because we broke the 6 threshold, so things equalize. (this is why you see orbitals skip around)

That was because of the 555 gates. Remember? 2, 3, 4, 6? Those are all the threshold values to surpass or meet 2/3. Add them all together and we get 18. Individually there are 16 total bits needed to reach 2_2_2_1, plus 2 to fill the register.

2_0_2_0 – 2_0_0_0

2_2_2_0 – 2_0_0_0

2_0_2_2 – 2_0_0_0

2_0_2_0 – 2_2_0_0

2_0_2_0 – 2_0_2_0

 

But something is off? That isn’t 18? It’s not, and this is the halfway point for the table.

 

In reality this actually happens twice as a matter of balance (syncopation), so you see two sets of 2, 8, 18, 32; and the higher you go in elemental values, the more thresholds you have sitting inside one another, which brings up compression, and magnetism. This is the hardest one to comprehend. You have to keep in mind that it takes 16 volts (bits) to flip the 3rd register, and it also takes 18 bits to get the 3rd register to read 2 at its end.

 

This means we have a lot of intermediates.

 

2_2_2_1 isn’t balanced. We need to keep going.

2_2_2_2 – 2_2_2_2 – 2_0_0_0

2_0_2_0 – 2_0_2_2 – 2_2_2_2

2_0_2_0 – 2_0_2_0 – 2_0_2_0 – 2_0_2_2

 

I can’t stress enough how important it is that you write all these things out on your own. You can’t really grasp this without doing so. It is up to you to complete that chain by filling in what I left out from the middle. I am also going to add a more definitive list of these to this spreadsheet as they just repeat themselves over and over and need to be written down.

 

Now we have one full register. It seems like there are more there, because I didn’t double the 2, or 8 shells (syncopation). This makes it significantly easier to read at first, and I went into more detail on that later.

 

For shell 4 (32);

It’s the same thing. We add another register, but we reached half of 360 with 18. At this point we are capped out, and filling the final half with the remaining thresholds. We are doing the same thing we did from Atom to Group. We are re-evaluating the ratio:

2_0_2_0 – 2_0_2_0 – 2_0_2_0 – 2_0_2_0

Which is equivalent to 16 – 16; for 32 total bits instead of 36.

 

This is the simplest way to put it right now. Each of those 2 values in the final shell are constituted as 8 total bits.

 

This explains why we cap out at 32, and have H and He as balancers. It quantifies atoms, groups, and their orbitals into measurable, and calculable bits.

 

But what does this look like with the group syncopations?

 

So for shell 1 (2);

we get 11_0_0_0 (takes 2 bits to flip)

1_0_0_0

 

 

For shell 2 (8);

Now we have 1_0_0_0

It takes 2 bits to flip again for a higher tier 11 (4 total)

2_0_0_0

It takes 2 bits to flip again, and 3 bits to exceed 2 by 2/3 (3/4)

2_1_0_0

It takes 2 bits to flip again and open the next gate (8 bits total)

2_0_2_0

Plus the syncopation (another 8)

2_0_2_0 AND 2_0_2_0

 

 

For shell 3 (18);

We start to fill into the next register now because we broke the 6 threshold, so things equalize. (this is why you see orbitals skip around)

That was because of the 555 gates. Remember? 2, 3, 4, 6? Those are all the threshold values to surpass or meet 2/3. Add them all together and we get 18. Individually there are 16 total bits needed to reach 2_2_2_1, plus 2 to fill the register.

2_2_2_2 – 2_2_2_2 – 2_0_0_0

2_0_2_0 – 2_0_2_2 – 2_2_2_2

2_0_2_0 – 2_0_2_0 – 2_0_2_0 – 2_0_2_2

 

For shell 32:

 

2_0_2_0 – 2_0_2_0 – 2_0_2_0 – 2_0_2_0 – 2_0_2_0 – 2_0_2_0 – 2_0_2_0

or

2_2_2_2 – 2_2_2_2 – 2_2_2_2 – 2_2_2_2

or 2_2_2_2 (scaled)

 

Orbital:

 

These are pretty straightforwards. The same rule, though it seems they are determined inside of the group/atom ratios, as they are lower voltage values held in place, less gating allowance. This shows their spin changes.

 

2_0_0_0 (2)

fills like

2_1_1_1

2_2_1_1

2_2_2_1

2_2_2_2 (8)

 

Remember the 1’s in this case are equivalent to 0’s. The thresholds are reached, but the atoms are still rules, and we know there are other atoms around them as excess thresholds are required in order to hold them together. Electrons are a visualization of the movements which fall in between. We can look at these a little more openly than when we were setting up the rules of the atoms and their behaviors.

 

2_2_2_2 – 2_2_2_2 – 2_2_2_2 (18)

It fills like this

2_2_2_2 – 1_1_1_1 – 1_1_1_1

We know there are things outside of it, because it is needed in order for this to exist, so we aren’t making any assumptions by inferring that the end point is actually a bounceback from other atoms. At its syncopation point (1), there is at least 1 bit. That means the values are coming inwards.

2_2_2_2 – 1_1_1_1 – 1_1_1_2

2_2_2_2 – 1_1_1_1 – 1_1_2_2

2_2_2_2 – 1_1_1_1 – 1_2_1_2

until

2_2_2_2 – 1_1_1_1 – 2_2_2_2

until

2_2_2_2 – 2_2_2_2 – 2_2_2_2

 

That’s also been shown already by the threshold example where the value began to rise and hold pieces in place:

(1_1_)(1_1_)(1_0_)(1_0_) AND (1_0_)(1_0_)(0_0_)(0_0_)

 

So that’s how it works. In 3d space this happens back and forth all around us. We are a part of it ourselves, and it all happens so quickly. Computers already do this in a rudimentary way at magnitudes of Mhz.

 

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