JW RRM
and RRMD

A central motivation throughout John's frequency research has been the continuous reduction of error and the more precise description of the object being studied. When new data reveals limitations in an earlier method, he is willing to review or rebuild the calculation process. He believes that greater accuracy in frequency calculation may allow the resulting research to help more people.

1,065 JW RRM PROGRAMS
10,679 RRMD PROGRAMS
Explore the Research
01 Project

Project Background

The research behind JW RRM and RRMD began with the Resonant Recognition Model, or RRM, developed by Irena Cosic.

Around ten years ago, John encountered Irena Cosic and her RRM research at a quantum research conference. This encounter planted the seed for his later exploration of RRM.

During his research into RRM, John did not simply adopt the original method. Drawing on his many years of experience in frequency research and application, he continued to modify the numerical representation of biological sequences, spectrum analysis, common peak identification, localisation of functional regions, and conversion into physical frequencies. These efforts gradually developed into what are now known as JW RRM and RRMD.

As of September 17, 2026, Spooky2 contained 1,065 RRM programs and 10,679 RRMD programs. All of these programs are available free of charge to Spooky2 users.

02 Fundamentals

Understanding JW RRM and RRMD in One Minute

JW RRM

In simple terms, RRM is a method of finding frequencies that a molecule presents to the world or a living cell. It’s used predominantly for matching substances to living cells. So, if you have a problem, RRM can be used to find the perfect substance to address that problem.

RRM first assigns a numerical value representing the electronic properties of each amino acid in a sequence. In this way, a protein sequence composed of amino acids is converted into a numerical signal that can be analysed mathematically.

The system then uses signal analysis methods, including the Fourier transform, to convert the numerical sequence into a spectrum. After a protein sequence has been converted into a spectrum, several different peaks appear. According to the RRM model, some prominent or repeatedly occurring peaks may be associated with the function of the protein and with recognition between different molecules.

Building on this foundation, John does not analyse only one protein. He also compares several related proteins that perform the same function.

For example, if several pathogens depend on a particular class of protein to complete infection or replication, he compares the spectra of those proteins and looks for prominent peaks that they share.

The purpose of this method is to reduce interference from features that appear in only one sequence and to identify characteristics that may be associated with a shared biological function.

RRMD

RRMD is the method that emerged when John extended the principles of JW RRM to drugs, supplements, and other substances.

Early substance matching relied mainly on molecular mass, chemical formula, and frequency range. As the research progressed, John began incorporating more complete structural information. This allowed the method to distinguish between molecules that have the same mass or chemical formula but different atomic connections or spatial structures.

A central motivation throughout John’s frequency research has been the continuous reduction of error and the more precise description of the object being studied. When new data reveals limitations in an earlier method, he is willing to review or rebuild the calculation process. He believes that greater accuracy in frequency calculation may allow the resulting research to help more people.

03 Research Process

John’s Core Work

1

Selecting the Key Proteins of a Pathogen

When John conducts JW RRM research, he does not reduce an entire pathogen to a single overall frequency, nor does he analyse the complete genome all at once.

His first step is to select proteins associated with important pathogen functions.

These mainly include:

  1. Proteins associated with infection of host cells.
  2. Proteins associated with pathogen replication.
  3. Proteins that maintain viral capsids, viral envelopes, or cellular structures.
  4. Certain surface proteins, cell wall proteins, and important metabolic enzymes.

The focus of JW RRM is therefore not simply to search for the frequency of a pathogen. It is to study the proteins that the pathogen depends on to perform its essential functions.

2

Describing the Research Target at the Atomic and Electronic Levels

John initially used methods that were closer to the original RRM approach when processing biological sequences. He later updated his method so that it begins with the atomic composition and electronic environment of the research target, examining the patterns presented by the molecule.

The information considered includes:

  1. The valence electrons or outer shell electrons of atoms.
  2. The effective influence of the atomic nucleus on electrons.
  3. The shielding effects produced by inner shell electrons.
  4. The arrangement of different atoms within a molecule.
  5. The mass of the constituent nodes.
  6. The structure and folding of the complete molecule.
3

Analysing Molecular Spectral Characteristics

John represents the electronic and structural information of a molecule as a numerical signal. He then uses methods including the Fourier transform to identify periodic patterns within the signal.

The result is a spectrum containing multiple peaks. John examines:

  1. Which peaks appear in the spectrum.
  2. Which peaks are more prominent.
  3. Whether different targets share common peaks.
  4. The relative power of each peak.
  5. The overall pattern formed by multiple peaks.
4

Comparing Related Proteins That Perform the Same Function

Analysing a single protein may produce many spectral peaks that are unique to that particular sequence. To identify characteristics that may be more closely associated with the target function, John compares several proteins that perform the same or similar functions.

This work includes:

  1. Collecting proteins associated with the target function.
  2. Analysing the spectrum of each protein.
  3. Comparing peaks across different spectra.
  4. Identifying recurring common patterns.
  5. Reducing interference from characteristics found only in individual samples.
5

Extending the Method to Drugs and Other Substances

Proteins and peptides can be studied through biological sequences. Drugs, nutritional supplements, and other small molecules usually do not possess the same type of linear amino acid sequence. To study these substances, John developed RRMD, a method with a greater focus on molecular structure.

The information considered includes:

  1. SMILES
  2. InChI
  3. The atoms that make up the molecule.
  4. The way the atoms are connected.
  5. The chemical bonds within the molecule.
  6. The overall physical structure of the molecule.
  7. Molecular folding or conformation.
  8. Different functional groups within the molecule.

This method does not consider only the mass of a substance. It also examines how atoms are organised to form a particular molecule.

As a result, it can distinguish between certain molecules that have the same mass or chemical formula but different atomic connections or spatial structures.

04 Comparison

Differences Between RRMD and MW

Both RRMD and Molecular Weight are used to study drugs, nutritional supplements, and other substances. However, they use different information and produce different results.

Comparison Molecular Weight RRMD
Primary Input Monoisotopic mass Molecular structure, SMILES, InChI, and related physical information
Approach Treats the substance as a whole Analyses both the overall structure and individual functional groups
Structural Information Does not require complete atomic connectivity information Considers atomic connectivity and chemical bonds
Distinguishing Isomers Has difficulty distinguishing different structures with the same mass Distinguish different molecular structures
Number of Program Frequencies Usually one frequency Contains one, two, or more frequencies
Level of Resolution Provides an overall representation of the substance Provides a more detailed representation of the molecular structure
05 Results

Project Results

1,065
RRM Programs

As of September 17, 2026, Spooky2 contained 1,065 JW RRM programs.

All of these programs are available free of charge to users who download the Spooky2 software.

10,679
RRMD Programs

As of September 17, 2026, Spooky2 contained 10,679 RRMD programs.

These programs are also available free of charge to users who download the Spooky2 software.

06 Application

Recommended Ways to Use RRM and RRMD

RRM and RRMD can be used with the various delivery methods available in Spooky2.

◎

Frequency Imprinting

According to John, the best way to apply RRM and RRMD is frequency imprinting.

✦

Why Frequency Imprinting

This is because the programs contain two or more frequencies that need to be applied together.

With frequency imprinting, users can run each frequency in sequence using a single signal coil, or single tens pad. The imprinting carrier retains these frequencies. For example, users may imprint the frequencies into water and then drink the water.

07 Acknowledgements

Special Thanks

JW RRM and RRMD are built upon many years of research and collaboration. From the development of RRM theory, to John’s modifications of the method, and finally to the integration of the programs into Spooky2, every stage has depended on the contributions of researchers and members of the community.

Irena Cosic

Irena Cosic

Irena Cosic is the pioneer of the Resonant Recognition Model.

Without the theoretical foundation established by Irena and her research team, the later development of JW RRM would not have had its original starting point.

Bryan Yamamoto

Bryan Yamamoto

Bryan Yamamoto helps converting the complex frequency programs into simple presets so that users can access them.

Testing and feedback community

Everyone Who Participated in Testing and Feedback

User feedback, questions, records, and practical observations have provided John with important references for understanding how the programs are used and which areas require further research.