Improved Whitepaper.md and upgraded Whitepaper.pdf to Version 8.

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Simon Sarasova 2024-09-03 09:30:52 +00:00
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## Unversioned Changes
* Improved Whitepaper.md and upgraded Whitepaper.pdf to Version 8. - *Simon Sarasova*
* Improved Whitepaper.md. - *Simon Sarasova*
* Upgraded zeebo/blake3 to version 0.2.4. - *Simon Sarasova*
* Upgraded Circl to version 1.4.0. - *Simon Sarasova*

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@ -9,4 +9,4 @@ Many other people have written code for modules which are imported by Seekia. Th
Name | Date Of First Commit | Number Of Commits
--- | --- | ---
Simon Sarasova | June 13, 2023 | 298
Simon Sarasova | June 13, 2023 | 299

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@ -54,7 +54,7 @@ Health is superior to disease. Ability is superior to disability. Pain and suffe
Personality is defined as a person's thought patterns, behaviors, and methods for understanding, interacting with, and experiencing the world. Personality is largely genetic. Personality and intelligence are causally connected. Some people have better personalities than other people, and some races collectively have better personalities than other races. Some examples of positive personality traits are happiness, virtue, hopefulness, empathy, calmness, compassion, sociability, generosity, cleanliness, honesty, perseverance, and kindness.
Happy and virtuous personalities are superior to sad and immoral personalities. It is impossible to be too happy or too virtuous. Happiness is the ultimate goal of human life and is the only thing that humans desire for its own sake.
Happy and virtuous personalities are superior to sad and immoral personalities. It is impossible to have an excess of happiness or virtue. Happiness is the ultimate goal of human life and is the only thing that humans desire for its own sake.
## Eugenics
@ -142,9 +142,9 @@ There are three identity types: Mate, Host, and Moderator.
## Profiles
Each Seekia user has a profile. Users must broadcast a profile to be able to chat with other users. Profiles which are broadcasted to the network are viewable by anyone. Users should only share information in their profiles which they are comfortable with being fully public and searchable.
Each Seekia user has a profile. Users must broadcast a profile to be able to chat with other users. Profiles which are broadcasted to the network are viewable by anyone. Users should only share information in their profiles which they are comfortable being fully public and searchable.
User profiles can contain information about a variety of topics such as age, location, biological sex, gender identity, sexuality, race, genetics, height, body type, language, fame, wealth, infectious diseases, drug use, hobbies, job, beliefs, diet, and pets.
User profiles can contain information about a variety of topics such as age, location, biological sex, gender identity, sexuality, genetics, race, height, body type, language, fame, wealth, infectious diseases, drug use, hobbies, job, beliefs, diet, and pets.
Users can browse the network and find matches for free without creating an identity or broadcasting a profile. This freedom allows many more people to search for matches, which should significantly increase the quantity of users who eventually broadcast a profile. A web explorer should be built that allows anyone to view user profiles without having to download the Seekia app.
@ -216,25 +216,25 @@ If two people who have the same recessive monogenic disease breed, their offspri
In order to prevent people with recessive monogenic diseases from being conceived, we must prevent people who have any defects in genes for the same diseases from breeding with each other. This practice only requires reducing each person's pool of potential mates by a small amount (~5% in 2024), but will result in a drastic reduction in the prevalence of recessive monogenic disorders within the human species.
A Person analysis describes if a person has each monogenic disease and their probability of passing a disease variant for each disease. A Couple analysis will report on the offspring's probability of having each monogenic disease. Users can share their monogenic disease probabilities on their profiles, and users can filter and sort users by their offspring's probability of having a monogenic disease.
A Person analysis describes if a person has each monogenic disease and their probability of passing a disease variant for each disease. A Couple analysis will report on the offspring's probability of having each monogenic disease. Users can share their monogenic disease probabilities on their profiles. Users can filter other users by which monogenic diseases they have. Users can filter and sort users by their offspring's probability of having a monogenic disease.
Users have 2 options for filtering their offspring's monogenic disease probability: 0% and <100%.
Selecting 0% will only show the user potential mates with whom the user's offspring has a 0% probability of having any monogenic diseases. This option will filter all potential mates who have defects in the same recessive monogenic disease-causing genes as the user. The 0% option will also filter all users with dominant monogenic diseases, because those users always have a ~50% or greater probability of passing their dominant monogenic disease to their offspring. The 0% option should be selected by users who do not want to use embryo screening for reproduction.
Selecting <100% will only show the user potential mates with whom the user's offspring has a <100% probability of having any monogenic diseases. This option will filter potential mates who have the same recessive monogenic diseases as the user. This option will also filter any users who have a double dominant monogenic disease, because all offspring produced by these individuals have a ~100% probability of being diseased. The <100% filter could be useful for users who plan to use embryo screening, and only need to have the capability of producing disease-free offspring with their mate. It is still better to avoid these kinds of relationships, because both people could accidentally conceive diseased offspring without using embryo screening.
Selecting <100% will only show the user potential mates with whom the user's offspring has a <100% probability of having any monogenic diseases. This option will filter potential mates who have the same recessive monogenic diseases as the user. This option will also filter any users who have a double dominant monogenic disease, because all offspring produced by these individuals have a ~100% probability of being diseased. The <100% filter is useful for users who plan to use embryo screening, and only need to have the capability of producing disease-free offspring with their mate. It is still better to avoid these kinds of relationships, because both people could accidentally conceive diseased offspring without using embryo screening.
### Polygenic Diseases
Polygenic diseases are diseases whose risk is influenced by many genes.
A Person analysis describes a person's risk score for each polygenic disease. A Couple analysis describes a prospective offspring's average risk score for each polygenic disease. Users can share their alleles for genes which influence each disease's risk on their profile. The Seekia app is able to calculate genetic outcome probabilities for each user's offspring. Users can sort potential mates by their offspring's polygenic disease risk scores. Seekia enables users to mate with other users with whom their offspring has a lower probability of having polygenic diseases.
A Person analysis describes a person's risk score for each polygenic disease. A Couple analysis describes a prospective offspring's average risk score for each polygenic disease. Users can share their alleles for genes which influence each disease's risk on their profiles. The Seekia app is able to calculate the polygenic disease risk scores for prospective offspring between each pair of users. Users can sort potential mates by their offspring's polygenic disease risk scores. Seekia enables users to mate with other users with whom their offspring has a lower probability of having polygenic diseases.
Seekia allows for a user's polygenic disease risk to influence their sexual market value. For users who share their polygenic disease alleles, their disease risk is calculable from their profile. Users can sort their matches by each match's total polygenic disease risk score. Users who are more likely to be healthy will be more sought after. Users with a higher risk of dying from various diseases may choose to mate with each other. Users with a higher risk of cognitive decline in their old age may choose to mate with users who do not have an elevated risk, increasing the probability that the user's mate will be able to care for them in their old age.
### Traits
A Person analysis contains a person's predicted trait outcomes, and a Couple analysis contains the couple's offspring's trait outcome probabilities. Users can share the alleles in their genome which influence each trait in their profiles. The Seekia app can calculate the offspring outcome probabilities for users. Seekia allows users to filter and sort other users by their offspring's trait outcome probabilities.
A Person analysis contains a person's predicted trait outcomes, and a Couple analysis contains the couple's offspring trait outcome probabilities. Users can share the alleles in their genome which influence each trait in their profiles. The Seekia app can calculate the offspring outcome probabilities for pairs of users. Seekia allows users to filter and sort potential mates by their offspring's trait outcome probabilities.
A user could sort users by the probability of their offspring being able to tolerate lactose. A user who enjoys cooking lactose-based meals could use this technology to maximize the probability that their offspring will be able to tolerate those foods in adulthood. Users can also try to maximize the probability of their offspring having a certain hair texture or eye color.

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