Spooky2 DNA
Frequencies
John compared DNA Frequencies to the first brick laid when building a house. The project influenced all of his later frequency development work, including JW Peptides, RRM, and other projects.
Project Background
When John began researching DNA frequencies, Spooky2 had already collected frequencies from different researchers and different systems. This was already a remarkable achievement at the time, but John did not stop there. He believed that the Spooky2 database still contained many gaps and wanted to create a highly precise database that could provide corresponding frequencies for almost any disease.
An important starting point for this research was the DNA frequency calculation method proposed by Charlene A. Boehm. Building on her research, John continued to consider how the method could be further refined to improve the precision of frequency calculations.
As of September 24, 2026, the Spooky2 software contains 51,050 DNA programs and 3,742 DNA presets.
DNA Frequencies in One Minute
DNA stores the genetic information of living organisms. Human cells contain DNA, while viruses, bacteria, and other pathogens also have their own genomes. The genomes of different pathogens can vary in type, structure, and length. Even within the same pathogen, the genomic data of different species or strains may differ.
When explaining DNA Frequencies, John compares DNA to a radio receiver. It's like having a radio receiver in each of our cells. So the trick is to find the frequency that that little radio receiver is tuned to. Different DNA has got different lengths, and so it would be a different radio frequency that it can pick up.
John’s Core Work
Modeling the Genome as a Helical Antenna
The first core part of John’s work was to establish a calculation model connecting genome structure with frequency.
In the first edition of Derivation of DNA Frequencies, published in 2020, John described DNA and RNA as biological helical antennas tuned to specific frequencies. He proposed that the frequency of such a helical structure should not be calculated solely from the length of the genome along its axis. Instead, the calculation should consider the radial length of the sugar phosphate backbone as it follows the helical path.
To calculate this length, John combined the helix radius with the axial height of one complete helical turn. He then used the number of base pairs in each turn to calculate the corresponding length of each base pair along the helical backbone, allowing the effective length of the complete genome to be determined.
Calculating the Fundamental Frequency and Usable Sub-harmonic
After determining the effective genome length, John used the relationship between propagation speed and length to calculate the fundamental frequency. The resulting fundamental frequencies are usually extremely high and exceed the direct output range of ordinary frequency devices. John therefore used octave sub-harmonic to reduce the frequencies.
This involves dividing the fundamental frequency successively by integer powers of 2 (2, 4, 8, 16, 32) until the frequency falls within the operating range of the equipment.
John recommended selecting the highest sub-harmonic that the equipment could generate. In this way, an extremely high fundamental frequency could be converted into a frequency that Spooky2 equipment could run.
Developing the Unified Model into Separate Models for DNA, RNA, and mRNA
The first edition published in 2020 referred to DNA and RNA collectively as “DNA” and used a shared calculation framework for frequency derivation.
As his research continued, John concluded that the structural differences between different genome types needed to be included in the calculations. The second edition, Derivation of DNA and RNA Frequencies, published in 2022, began treating DNA, RNA, and mRNA separately.
John explained that the sugar backbone of RNA contains an additional OH group, which causes the RNA helix to wind more tightly. DNA and RNA also differ in axial helix pitch, the number of base pairs per turn, and effective helix radius.
The principal structural parameters used in the second edition are shown below
| Parameter | DNA | RNA |
|---|---|---|
| Helix Pitch Axial | 3.54 nm | 3.0 nm |
| Bases Pairs per twist | 10.4 | 11 |
| Base Pair Axial Pitch | Approximately 0.34 nm | Approximately 0.273 nm |
| Helix radius | 1.19 nm | 1.25 nm |
This means that even when DNA and RNA have the same number of base pairs, John’s model produces different frequencies for them.
Incorporating the Medium Surrounding the Genome
DNA and most RNA are located in the nucleoplasm inside the cell nucleus, while mRNA leaves the nucleus and enters the cytoplasm, where proteins are produced.
Because electromagnetic fields propagate at different speeds through the nucleoplasm and the cytoplasm, John used different propagation speeds for these environments. As a result, even when ordinary RNA and mRNA have the same effective base pair count, they produce different frequencies in his model because they are located in different media.
Publishing the Calculation Methods
John published two editions of his frequency derivation documents, the first in 2020 and the second in 2022.
At the beginning of both documents, he stated that the information was a gift to humanity
- There are no copyright restrictions.
- Anyone may freely share the information.
- No patents have been filed.
- No patents will be filed in the future.
John not only made the calculated results freely available to users, but also published the parameters, formulas, and derivation process behind the method. This allows others to understand, discuss, and further investigate the calculation system.
Download John’s DNA Frequency Document →Project Results
As of September 24, 2026, the Spooky2 software contains 51,050 DNA programs. All of these programs are freely available to users who download the Spooky2 software.
As of September 24, 2026, the Spooky2 software contains 3,742 DNA presets. These presets are also freely available to users who download the Spooky2 software.
From Collecting Existing Frequencies to Developing Calculated Frequencies
DNA Frequencies represented an important turning point in John’s approach to frequency research.
His earlier work focused on collecting, organizing, and verifying frequencies from different sources. With the DNA project, he began calculating frequencies from genomic data and physical models, allowing him to develop frequencies for targets that had not been covered by traditional frequency databases.
The First Brick in John’s Later Frequency Research
John compared DNA Frequencies to the first brick laid when building a house. The project influenced all of his later frequency development work, including JW Peptides, RRM, and other projects.
Special Thank
Charlene A. Boehm
Charlene A. Boehm was a pioneer in exploring methods for deriving frequencies from DNA length. Her research provided an important starting point for John and encouraged him to investigate further how DNA structure could be connected with frequency calculations.
Spooky2 Forum Moderators
John thanked the Spooky2 forum moderators in both editions of his derivation documents. They assisted with the preparation and writing of the documents.
Bryan Yamamoto
Bryan Yamamoto organized these frequency programs and integrated them into the Spooky2 software, allowing users to find and use the relevant programs through the software.