To conceive a baby by trying to spot the ovulation moment and plan fecundation in any day favourable to conception can be an innocent desire now perhaps possible to fulfil through a numerical, statistical and mathematical method.
The most advanced scientific theories assert that having intercourse in the proximity of ovulation will probably cause a baby boy to be born because sperms holding y chromosome (determining male sex) are faster and will come in first to fecundate ovules.
Having instead an intercourse far off from ovulation, ovules will be fecundated by sperms holding x chromosome (determining female sex), as they have the characteristic of a longer survival.
This theory is the point of departure for a mathematical law devised by Dr Pola Gabriella: a calculation or algorithm directed to detect the ovulation instant and therefore the choice of the conception time, in order to facilitate the probability that fecundation takes place.
This law was filed with the PATENT and AUTHOR MARK OFFICE with the following title:

SEXUAL INTERCOURSE MODULATION BASED UPON OVULATION CYCLE IN ORDER TO PLAN THE CONCEPTION.

In practice it takes an adequate number of cases to confirm the methodology.
In order to prove valid the methodology will have to overcome the significance test, that is to say to prove to be more reliable than a casual event. Without using any methodology every year an average of 48% males and 52% females are born.
Through statistical calculations based upon the collected data it will be possible to evaluate the degree of confidence of the methodology: the higher it will be the safer the methodology will be.
Any possible factor that might interfere with the results could be essentially detected, as already mentioned, in an incorrect methodology application by the interested couples, with regard to the diligent application of the rules as recommended.
By and large for a 5% maximum error (with a 95% confidence margin) the sample should be of 400 cases. If the maximum error rate you will accept will be 3%, the sample will have to be of 1100 cases.