The entire Online Dating Industry for serious daters in 1st World Countries is a HOAX, performing as a Big Online Casino, with low successful rates.
There is a range convergence phenomenon between the 3 mains tools online dating sites can offer: searching by your own, Bidirectional Recommendation Engines and Compatibility Matching Methods.
Any member receives on average 3 to 4 prospective mates as selected / recommended / compatible for dating purposes per 1,000 (one thousand) members screened in the database.
They all 3 are performing the same for serious daters, with a high percentage of false positives, like gun machines shooting flowers.
That range convergence phenomenon is what I had called "the online dating sound barrier", in 2003, when I had discovered than problem, 7 long years ago.
I had understood FIRST and BETTER than anybody how to solve than problem:
The Online Dating Industry does not need a 10% improvement, a 50% improvement or a 100% improvement.
It does need "a 100 times better improvement"
Breaking "the online dating sound barrier" is to achieve at least:
3 most compatible persons in a 100,000 persons database.
12 most compatible persons in a 1,000,000 persons database.
48 most compatible persons in a 10,000,000 persons database.
100 times better than Compatibility Matching Algorithms used by actual online dating sites!
The only way to achieve that is:
- using the 16PF5 normative personality test, available in different languages to assess personality of members, or a proprietary test with exactly the same traits of the 16PF5. The ensemble of the 16PF5 is: 10E16, big number as All World Population is nearly 6.7 * 10E9
(WorldWide, there are over 5,000 -five thousand- online dating sites, but no one is using the 16PF5)
- expressing compatibility with eight decimals, like The pattern 126.96.36.199.188.8.131.52.184.108.40.206.220.127.116.11 is 92.55033557% +/- 0.00000001% similar to the pattern 18.104.22.168.22.214.171.124.126.96.36.199.188.8.131.52
Using a quantized pattern comparison method (part of pattern recognition by cross-correlation) to calculate similarity between prospective mates.
Since the beginning of 2003, I had been testing online dating sites who offer a compatibility matching method to their daters by creating dummy Male/Female profiles and using them as test points for reverse engineering purposes.
All the algorithms used by eHarmony, True, Chemistry, PerfectMatch, Be2, Meetic, PlentyOfFish Chemistry Predictor, Parship, RewardingLove, MyType, etc. are like placebo, because they will show, to any member, 3 to 4 persons as highly compatible per 1,000 persons screened, so in a 10,000,000 persons database, any member will see 30,000 to 40,000 members as highly compatible; 30,000 persons is the population of an average small city. Any person can achieve 3 to 4 persons as highly compatible per 1,000 persons screened, searching by his/her own or by mutual filtering methods.
Success Rates of those sites are less than 10%. The majority of their members are not going to achieve a long term relationship with commitment (or marriage).
Breaking "the online dating sound barrier" is to achieve far better precision than searching on one's own or mutual filtering.
* Matching based on Self-Reported Data / Bidirectional Recommendation Engines (Collaborative Filtering) will always be in the range of 3 or 4 persons "recommended" per 1,000 persons screened, in exactly the same range of searching on one's own.
* Actual online dating sites offering compatibility matching methods, when calculating compatibility between prospective mates, have less or at least the same precision as searching on one's own. [in the range of 3 to 4 persons compatible per 1,000 persons screened]
* That is because they use:
a) simplified versions of personality traits, instead of the 16PF5 or similar with the complete inventory (16 variables)
b) inadequate quantitative methods to calculate compatibility between prospective mates, like eHarmony which uses Dyadic Adjustment Scale or other sites which use multivariate linear / logistic regression equations o other equations.
To solve that problem I propose:
*) the 16PF5 or similar normative personality test to measure personality of normal persons over 26 years old interested in serious dating.
*) a new quantitative method to calculate compatibility between prospective mates, based on quantized pattern comparison (part of pattern recognition by correlation) named LIFEPROJECT method.
The value of my algorithm is to achieve far more precision than searching on one's own [in the range of 3 persons compatible per 100,000 persons screened]
try to prove if only high level on personality* similarity* between mates is the core of relationship stability and satisfaction for normal persons over 26 years old interested in serious dating.
*personality: measured with the 16PF5 normative test in different languages.
*similarity: calculated using the method I had invented, LIFEPROJECT method.
That is what is going to revolutionize the Online Dating Industry.
My effort is directed to prove that temporal patterns of relationship variables may indeed play a significant role between prospective mates -> Last stage of temporal patterns: if only high level on personality* similarity* between mates is the core of relationship stability and satisfaction == Dyadic Success for 26_and_more_years_old_persons interested in serious dating.
personality*: measured with the 16PF5 normative test in different languages (no other actual online dating site is using it!).
similarity*: calculated using quantum math equations with the quantitative method I had invented, named LIFEPROJECT METHOD, with quantized pattern comparison (a part of pattern recognition by correlation)
Example for the matching algorithm I had invented
- Ensemble (whole set of different valid possibilities): 1 * E16 with 16PF5
- Precision: better than 0.00000001% with Self-Adjustment
3 most compatible persons in a 100,000 persons database,
12 most compatible persons in a 1,000,000 persons database,
48 most compatible persons in a 10,000,000 persons database,
- Results are displayed with 2 integers + 8 decimals, like 92.55033557% +/- 0.00000001%
The World Population (WP) is nearly 6,700 millions persons == 6.7 * E9
16PF5's Ensemble == 1 * E16
WP / Ensemble == (6.7 * E9) / (1 * E16) == 6.7 * E-7 == 0.67 * E-6
i.e. All World Population is 0.67 micro part of the Ensemble!!!