Quick Links You last visited April 28, 2017, 5:38 pm All times shown are Eastern Time (GMT5:00)  The Wave Matrix  Excel 2007 AddinThread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 7:28 pm  IP Logged  
The last example, then on to some projections.
We will look at the number 1 in column A.
Here are the relative draw index. Number 1 Draw Index Column A  2  24  31  39  40  44  56  57  64  77  81  85  117  127  134  136  137  149  156  163  171  181  203  211  219  226  239  249  264  269  270  291  295  307  311  328  336  344  348  353  366  404  408  420  421  425  431  434  438  439  443  446  450  452  466  481  485  488  496  503  512  527  542  544  558  561  565  566  581  582  597  611  617  640  647  656  657  660  670  682  703  706  712  718  737  751  752  772  778  784  796  807  810  815  828  844  864  871  872  881  895  897  901  915  918  924  932  960  985  991  993  1000 
Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 7:43 pm  IP Logged  
For this data set, we find a setting of 'by Amplitude Only' and Wave to BMA RMS Ratio = 0.29 works best.
The short list below for this Wave Matrix.  Type =  Linear  BMA Degree 1  BMA Degree 2  BMA Degree 3  BMA Degree 4  BMA Degree 5  BMA Degree 6  BMA Degree 7  BMA Degree 8  Algorithm  Predictor   A =  3.44546332  1.513  1.291  0.895  0.297  0.311  0.731  1.131  1.491  Wave / BMA = 0.29  Depth = 25   B =  8.771000615          Amp / Freq = 0.50  Level = 25   Index  Regression  Wave 1  Wave 2  Wave 3  Wave 4  Wave 5  Wave 6  Wave 7  Wave 8  Remainder  Data   1  5.325537295  0.825576924  1.572016604  0.139061465  2.423659885  2.500184126  0.782197682  0.71087337  1.455797661  4.328252964  2   2  14.09653791  0.772290854  1.566859482  0.243820977  2.213381259  2.507977285  1.492275213  0.897444163  0.77922593  4.596129553  24   3  22.86753852  0.709234529  1.559532269  0.375779182  1.911437319  2.31911811  1.897739345  1.825463256  1.609751438  1.213497987  31   4  31.63853914  0.636238239  1.548770968  0.530761361  1.524974777  1.83085274  1.676698692  1.738970453  1.325917705  1.979817061  39   5  40.40953975  0.553128406  1.533140655  0.703721302  1.072642991  1.063443066  0.862390551  0.824869037  0.214311325  1.657206361  40   6  49.18054037  0.459742027  1.511074388  0.888902855  0.584309044  0.160821823  0.167322954  0.04601519  0.290713687  2.561900136  44   7  57.95154098  0.355943236  1.480921533  1.080138027  0.09462472  0.707770265  1.130490532  0.57511726  0.041786196  3.242428951  56   8  66.7225416  0.241640601  1.440998748  1.271164219  0.363780223  1.404784699  1.977983733  1.324052757  0.437127367  1.261009253  57   9  75.49354221  0.116803877  1.389637679  1.455862952  0.763740793  1.779926032  2.424203471  1.805115025  0.670698392  1.087553993  64   10  84.26454283  0.018518182  1.325237877  1.62855281  1.0907677  1.756445374  2.32332407  1.924492086  0.732233256  3.497992162  77   …  …  …  …  …  …  …  …  …  …  …  …   103  899.9676  6.207955158  3.086615228  1.347710083  1.297151206  2.927470824  2.040157779  0.773072994  0.044548833  2.527478861  901   104  908.7386006  6.638298033  3.38111991  1.515010256  1.29100575  3.550962167  3.083991629  1.531948835  0.086626442  4.098253099  915   105  917.5096013  7.045738254  3.661155144  1.69391342  1.130772459  3.703575727  3.775261572  2.660404609  1.133254372  0.492860664  918   106  926.2806019  7.428296846  3.925017024  1.881645557  0.811834182  3.24505896  3.668793888  3.287327342  2.521150802  1.981396126  924   107  935.0516025  7.784073527  4.17091432  2.073806748  0.353809582  2.161536315  2.437186723  2.360330984  2.390439497  7.377093981  932   108  943.8226031  8.111261779  4.397004165  2.264576555  0.199120802  0.642510944  0.281804617  0.399232647  0.649146105  1.081370406  960   109  952.5936037  8.408165078  4.60143754  2.447091001  0.783539601  0.904734263  1.698118669  2.732579971  3.199687264  7.631042895  985   110  961.3646043  8.67321581  4.782421938  2.614106095  1.33399613  2.117032143  2.581521317  2.756967035  2.44906221  2.32707299  991   111  970.1356049  8.904994111  4.938286136  2.758672536  1.798162648  2.889404023  2.494010224  1.247242844  0.121081363  2.287458832  993  Quantum  112  978.9066056  9.102244771  5.067536455  2.874622504  2.139847016  3.306569869  2.117587848  0.132588281  1.472284601  1.910141142  1000  Projection >  113  987.6776062  9.192284362  5.125485953  2.924927023  2.277328366  3.444374054  1.946864694  0.61176943  1.900763388  3.685833072  1013.762171 
Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 9:03 pm  IP Logged  
Ok, now the fun part, projection.
Projection can be looked at in a few different ways depending on if you are looking for a single outcome or many.
A single outcome could be estimated based on the regression, waves and remainder in general or by using the Quantum Projection line itself.
In the first example of looking at pick 3 column B, we had 8 waves, by Amplitude Only and Wave / BMA = 0.13.
The last 30 draws and Quantum Projection line with a graph can be seen below.
 Type =  Linear  BMA Degree 1  BMA Degree 2  BMA Degree 3  BMA Degree 4  BMA Degree 5  BMA Degree 6  BMA Degree 7  BMA Degree 8  Algorithm  Predictor   A =  4.42422875  1.458  0.453  0.181  0.621  0.961  1.211  1.381  1.511  Wave / BMA = 0.13  Depth = 25   B =  2.41131E05          Amp / Freq = 0.50  Level = 25   Index  Regression  Wave 1  Wave 2  Wave 3  Wave 4  Wave 5  Wave 6  Wave 7  Wave 8  Remainder  Data   …  …  …  …  …  …  …  …  …  …  …  …   4780  4.539489528  0.141075908  0.238744178  0.645263713  0.684900358  0.584735842  0.379198403  0.13520314  0.058652633  2.210979381  4   4781  4.539513641  0.147431851  0.174270414  0.558518609  0.638163837  0.57712815  0.442097342  0.297573685  0.200664202  1.503665551  0   4782  4.539537755  0.153871147  0.092938272  0.385366744  0.403335409  0.292173174  0.177740515  0.108085815  0.074996084  0.148969407  3   4783  4.539561868  0.160483144  3.37528E05  0.160182389  0.084019194  0.086337306  0.171800159  0.147408704  0.089606971  0.370003473  5   4784  4.539585981  0.167361052  0.097786388  0.072172022  0.193629912  0.356784122  0.392664359  0.294953186  0.168235786  0.948450705  5   4785  4.539610094  0.17459789  0.193600194  0.275443873  0.35232761  0.429925904  0.451362184  0.406125277  0.356862254  2.1693405  9   4786  4.539634207  0.182282646  0.280928983  0.426365339  0.343939773  0.159380698  0.004210074  0.109245752  0.156443057  0.298067471  5   4787  4.53965832  0.190495633  0.354879042  0.536129889  0.308787855  0.05706371  0.301828904  0.407528718  0.451733985  3.330804157  1   4788  4.539682433  0.199305231  0.411730471  0.617218956  0.35396892  0.059378534  0.041759066  0.177402847  0.299725572  2.698438431  9   4789  4.539706547  0.208765284  0.448358111  0.652889521  0.353917644  0.016628815  0.028752458  0.103408343  0.228331154  0.894277608  7   4790  4.53973066  0.218911226  0.463601612  0.645860242  0.337986049  0.097964181  0.346286055  0.378874645  0.323706453  0.621436003  4   4791  4.539754773  0.229758584  0.457911017  0.604526631  0.394803029  0.045862126  0.276476105  0.454032551  0.509588175  2.57300216  2   4792  4.539778886  0.241301838  0.43295304  0.522270746  0.504293085  0.510790439  0.433230961  0.312404329  0.22432313  1.761257221  9   4793  4.539802999  0.25351436  0.391293861  0.36983908  0.438775157  0.68916902  0.779962405  0.670060912  0.500357753  0.125746826  8   4794  4.539827112  0.266347685  0.337533202  0.151371319  0.124191859  0.39090949  0.561311563  0.548701046  0.46743327  2.145068823  9   4795  4.539851225  0.279733006  0.27769225  0.093139252  0.363285612  0.327447979  0.276693226  0.268611979  0.267702262  1.940930158  1   4796  4.539875338  0.29358225  0.218602327  0.286583306  0.729006506  0.811391915  0.733420942  0.589759268  0.433316868  0.11858339  1   4797  4.539899452  0.307791215  0.165471462  0.378662458  0.826181879  0.861684123  0.703266583  0.512514901  0.361768446  0.753501308  0   4798  4.539923565  0.322241489  0.121070543  0.356908547  0.644319279  0.492884798  0.203684784  0.003155384  0.073054108  0.710853936  2   4799  4.539947678  0.336803011  0.085295479  0.251652992  0.332051474  0.044678304  0.299923231  0.497916849  0.558540704  2.98356184  8   4800  4.539971791  0.351336363  0.05582585  0.11315395  0.079670958  0.048043237  0.089096866  0.051152776  0.006876592  0.233052657  4   4801  4.539995904  0.365694212  0.029816088  0.033756055  0.15520685  0.109639229  0.115382493  0.327786867  0.456483145  3.603067409  0   4802  4.540020017  0.379724087  0.004086135  0.166276012  0.416890832  0.4297053  0.304384946  0.225894078  0.223983899  3.068482868  9   4803  4.54004413  0.393271388  0.024779456  0.23871237  0.52656346  0.491851422  0.312099023  0.187975071  0.13165344  1.010848073  5   4804  4.540068244  0.406180363  0.05827778  0.241241027  0.496694449  0.404485657  0.206893849  0.099484326  0.075120869  1.400469722  7   4805  4.540092357  0.418297713  0.096364393  0.177269639  0.346029717  0.181648046  0.06239714  0.210603763  0.275078926  2.182297826  2   4806  4.54011647  0.429474642  0.137020077  0.073366485  0.185070525  0.113524528  0.048948655  0.036076524  0.044857559  0.524533974  5   4807  4.540140583  0.439570613  0.177409151  0.054720746  0.011417764  0.000674904  0.084943268  0.168245395  0.215159772  1.673954353  6   4808  4.540164696  0.448455771  0.213866181  0.183977719  0.236423325  0.248063281  0.178538669  0.134233045  0.137306324  1.759300381  1  Quantum  4809  4.540188809  0.456013642  0.242321899  0.27834673  0.375673324  0.347753749  0.198513583  0.082935359  0.027417186  0.468786663  3  Projection >  4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.730628794  2.09030508 
The Regression and Waves are worked out to the last draw for this sample, draw Index 4809.
Index 4810 is the Quantum Projection for the next draw and shows the possible continuation of the Regression and Waves.
The waves tend to suggest that the outcome might be something below the Regression; at this point it's 4.540212922, which is about average ball number overall.
So, the best guess at this point would be to choose a number lower than 4.540212922 for the next draw.
Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 9:14 pm  IP Logged  
We can sum all the waves and see the effect each has all at once.
This is the variation from the regression line.  Index  Waves Sum   …  …   4780  2.75047   4781  3.03585   4782  1.68851   4783  0.090435   4784  1.408865   4785  2.291049   4786  0.758433   4787  0.20885   4788  1.761879   4789  1.566016   4790  0.081705   4791  0.033247   4792  2.698964   4793  3.585944   4794  2.315104   4795  1.59892   4796  3.65846   4797  3.7864   4798  1.82907   4799  0.47649   4800  0.30692   4801  0.93693   4802  1.391497   4803  1.470804   4804  1.059462   4805  0.35779   4806  0.06465   4807  0.21409   4808  1.78086  Quantum  4809  2.00898  Projection >  4810  1.71928 
Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 9:20 pm  IP Logged  
Keep in mind, the wave projections are based on the Ultimate Wave Predictor equation. The Quantum Projection line uses the Ultimate Wave Predictor Settings to project the wave in to the next draw. These settings are based on the last 25 draws and average at a level of 25. To know more about how the settings affect the projection, see the Ultimate Wave Predictor. Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 9:59 pm  IP Logged  
Based on just the waves and regression, summing the regression and waves, the projected outcome would be about 2.82093387 for a number in column B.
Being that it's between numbers, it could be either 2 or 3, only on regression and waves.
The next draw for this data set is for 20130302 and the draw (A B C) for that day was 4 2 2, so 2 was the next number in column B. Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 10:12 pm  IP Logged  
Does this always workout like that, where the regression and waves are perfectly positioned near the next draw? No.
It just happens to work for this instance.
This is where the other way of looking at it takes a turn in to Quantum Projection.
In Quantum Projection, there is no one single outcome; there are many.
This is where the remainder comes in.
The remainder acts as a random component that works to simulate the randomness of the phenomena we are looking at.
Put another way, it works to mimic the lottery's random selection. Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 10:26 pm  IP Logged  
If you take the Quantum Projection line and copy / paste it several times, you'll see the Data column has mostly different values for each line.
What you are seeing is the Quantum Selection in action; no one single outcome.
For everyone else, if you're doing this on your computer, you'll have a different outcome.
However, the outcomes will have fairly similar values.
Below is an example of the copy / paste.  Type =  Linear  BMA Degree 1  BMA Degree 2  BMA Degree 3  BMA Degree 4  BMA Degree 5  BMA Degree 6  BMA Degree 7  BMA Degree 8  Algorithm  Predictor   A =  4.42422875  1.458  0.453  0.181  0.621  0.961  1.211  1.381  1.511  Wave / BMA = 0.13  Depth = 25   B =  2.41131E05          Amp / Freq = 0.50  Level = 25   Index  Regression  Wave 1  Wave 2  Wave 3  Wave 4  Wave 5  Wave 6  Wave 7  Wave 8  Remainder  Data   …  …  …  …  …  …  …  …  …  …  …  …   4806  4.54011647  0.429474642  0.137020077  0.073366485  0.185070525  0.113524528  0.048948655  0.036076524  0.044857559  0.524533974  5   4807  4.540140583  0.439570613  0.177409151  0.054720746  0.011417764  0.000674904  0.084943268  0.168245395  0.215159772  1.673954353  6   4808  4.540164696  0.448455771  0.213866181  0.183977719  0.236423325  0.248063281  0.178538669  0.134233045  0.137306324  1.759300381  1  Quantum  4809  4.540188809  0.456013642  0.242321899  0.27834673  0.375673324  0.347753749  0.198513583  0.082935359  0.027417186  0.468786663  3  Projection >  4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.684492495  1.13644138   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.888864415  0.93206946   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  2.663341607  5.48427548   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.705743157  2.11519071   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.846327254  3.66726112   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  2.244573473  5.06550734   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.387961122  4.20889499   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.450932337  4.27186621   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.644484747  1.17644912   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.775323521  4.59625739   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.185273628  4.0062075   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  3.324972893  6.14590676   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  3.50348844  6.32442231   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.916252701  4.73718657   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.671264369  2.1496695   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.742909852  2.07802402   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.577193526  2.24374034   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.634038949  2.18689492   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.449893952  4.27082782 
Each line is the sum of the Regression, Waves and Remainder. The Remainder in the Quantum Projection line is chosen at random from all the previous remainder values. Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 10:34 pm  IP Logged  
In this example of Quantum Projections, we can see the values are in decimal form.
We need to apply a uniform way of getting the integer value we need to play or work with.
To do this we can use either a rounding or an integermodulus.
For this we will use the integermodulus because it works well in wrapping numbers around and keeps everything well balanced, as we will see later.
Below is the same table with the IntegerModulus adjustment.  Type =  Linear  BMA Degree 1  BMA Degree 2  BMA Degree 3  BMA Degree 4  BMA Degree 5  BMA Degree 6  BMA Degree 7  BMA Degree 8  Algorithm  Predictor   A =  4.42422875  1.458  0.453  0.181  0.621  0.961  1.211  1.381  1.511  Wave / BMA = 0.13  Depth = 25   B =  2.41131E05          Amp / Freq = 0.50  Level = 25   Index  Regression  Wave 1  Wave 2  Wave 3  Wave 4  Wave 5  Wave 6  Wave 7  Wave 8  Remainder  Data   …  …  …  …  …  …  …  …  …  …  …  …   4806  4.54011647  0.429474642  0.137020077  0.073366485  0.185070525  0.113524528  0.048948655  0.036076524  0.044857559  0.524533974  5   4807  4.540140583  0.439570613  0.177409151  0.054720746  0.011417764  0.000674904  0.084943268  0.168245395  0.215159772  1.673954353  6   4808  4.540164696  0.448455771  0.213866181  0.183977719  0.236423325  0.248063281  0.178538669  0.134233045  0.137306324  1.759300381  1  Quantum  4809  4.540188809  0.456013642  0.242321899  0.27834673  0.375673324  0.347753749  0.198513583  0.082935359  0.027417186  0.468786663  3  Projection >  4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.684492495  1   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.888864415  0   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  2.663341607  5   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.705743157  2   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.846327254  3   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  2.244573473  5   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.387961122  4   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.450932337  4   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.644484747  1   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.775323521  4   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.185273628  4   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  3.324972893  6   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  3.50348844  6   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.916252701  4   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.671264369  2   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.742909852  2   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.577193526  2   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  0.634038949  2   4810  4.540212922  0.459455035  0.254153016  0.313626432  0.416070485  0.346491711  0.129454348  0.047799738  0.152172238  1.449893952  4 
Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 10:59 pm  IP Logged  
So, you like statistics, here's where you can generate all the statistics you'd like.
For this example, we will copy and paste the Quantum Projection line 1,500 times.
This should give a nice statistical based to work with.
With those 1,500 Quantum Projection lines we can look at a few things like, average projection, standard deviation of the projection, distributions of the projections.
We can see how this all fits in to selecting numbers for the next draw. Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 11:19 pm  IP Logged  
If we copy and paste the Quantum Projection line 1,500 times, we get in our sample set an average of μ = 2.835478373 and a standard deviation of σ = 1.761052363 for this instance and on our computer.
You'll get slightly different values due to the Quantum variations in your selections.
If we look for a statistical probability that is 25% above and below the average we can calculate a range of values from our average and standard deviation.
That would be μ ± 0.674489750196082 · σ , this would become 2.835478373 ± 0.674489750196082 · 1.761052363 or 2.835478373 ± 1.187811768.
This gives a range of about 1.647666605 to 4.023290141.
That means there's about a 50% probability the number will be in that range.
If we use IntegerModulus on it, the range becomes 1 to 4.
The number that came up was a 2. Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 11:34 pm  IP Logged  
From another Quantum Projection sample we can find the distribution of numbers with an IntegerModulus applied. The following table and graph show the distribution of our Quantum Projections. Number  Frequency  0  93  1  145  2  269  3  298  4  282  5  221  6  147  7  44  8  1  9  0 
You can see the peak is at 3 and falls of nicely in both directions when using the IntegerModulus. We find that a rounding tends to put a bias at either end of 0 or 9 and can give a misread of the Quantum Projections. Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 9, 2013, 11:37 pm  IP Logged  
Alright, enough for today, need some sleep.
But, before we continue on.
We would like you to expand your understanding that this part of the example isn't restrictive to just the column B.
This is just the example for one kind of data set.
The basic idea is knowing the Wave Matrix tries to project for that next possible outcome, not just for this example, but for other forms of data with different values.
Since there is no way for the Wave Matrix to know exactly what kind of data you're working with, you must do that yourself.
We're going to get in to other data sets in a bit, however, if the wheels in your head are churning, remember you're in control of the wheels and how they all interlock.
Put it another way, if you've come up with a very unique way of generating sets of numbers, you can only know how those data sets can be interpreted and the projected outcome the Wave Matrix estimates. Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 10, 2013, 11:05 am  IP Logged  
Ok, we're back on.
Before we continue, we need to go over the math of the IntegerModulus.
In Excel, the basic formula is ' = INT(MOD( X , N )) ' where X is the number being modified and N is the evenly divided set X is being compared with.
In the previous example this worked well with the integer set of {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}, because it is zero based and there are only ten integers in the set.
The Excel formula then easily works out to ' = INT(MOD( X , 10 )) ' where X is the cell with the number we need to modify.
As we move forward, we need change this formula a bit for a different set of integers that are not zero based. Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
Thread Starter The Quantum Master West Concord, MN United States Member #21 December 7, 2001 3820 Posts Online  Posted: March 10, 2013, 11:33 am  IP Logged  
To change the IntegerModulus for other integer sets that are not zero based, we need to consider the limits of the set of numbers.
Also, the integer values must change by only 1 between each number in the set.
Examples of a good integer set to apply the IntegerModulus are {11, 12, 13, 14, 15} or {100, 99, 98, 97} or {10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, all these have numbers that are 1 away from each in the set.
Examples of not good set to apply the IntegerModulus are {10, 7, 1, 8, 100} or {1, 3, 5, 7, 11}, these sets of numbers do not change between them by a value of 1.
The limits in our evenly distributed integers have low numbers (L) like, 11, 100 and 10, and high (H) numbers like 15, 97, and 10 for each of the examples above.
Here's how to change the formula so the IntegerModulus can be applied to the other nonzero based integer sets.
Using the low, L, and high, H, values, the formula is the following: ' = INT(MOD( X  L , H  L + 1 )) + L '
Now we can apply the IntegerModulus to any set of evenly distributed integers.
If we apply it to our original set of 0 to 9 integers we get, L = 0, H = 9; ' = INT(MOD( X  0 , 9  0 + 1 )) + 0 ' which reduces to ' = INT(MOD( X , 10 )) '.
Now if we apply it to the example set of 10 to 10 integers we shown earlier, the formula works out to, L = 10, H = 10; ' = INT(MOD( X  (10) , 10  (10) + 1 )) + (10) ' which reduces to ' = INT(MOD( X + 10 , 21 ))  10 '.
For now just keep this in mind because we will apply it to other integer sets to come. Presented 'AS IS' and for Entertainment Purposes Only. Any gain or loss is your responsibility. Use at your own risk. Order is a Subset of Chaos Knowledge is Beyond Belief Wisdom is Not Censored Douglas Paul Smallish Jehocifer   
