Post-ovulation boy algorithm: New findings from science

The traditional calculation method is to divide the female menstrual cycle into three stages: early (first 7 days), mid-term (days 8-14), and late (last 14 days). It then predicts whether a woman can become pregnant based on the number of days and flow in her menstrual cycle. Although this method is simple, it does not guarantee accuracy.

In contrast, the "post-ovulation boy algorithm" predicts the number of boys by analyzing a woman's physical condition and hormone levels after ovulation. This method holds that after a woman reaches egg maturity, the quantity and quality of male sperm increases, resulting in the birth of more boys.

The researchers surveyed hundreds of women and used machine learning algorithms to analyze the data. They found that after women reached egg maturity, the quantity and quality of men's sperm increased, and that this increase continued over the next few days.

Based on these findings, the researchers proposed a new prediction method called the "Post-Egg Mature Boy Algorithm." This method is based on a woman's physical condition and hormonal levels after ovulation, and believes that the quantity and quality of male sperm will increase after a woman reaches egg maturity.

Although the "Post-Egg Mature Boy Algorithm" is not yet widely used, the researchers believe that this new method may have an important impact on predicting the number of boys. In the future, researchers will continue to explore the performance and limitations of this method and seek to apply it to a wider range of fields.

The "Post-Ovulation Boy Algorithm" is a new method that predicts the number of boys after ovulation. This method is based on a woman's physical condition and hormonal levels after ovulation, and believes that the quantity and quality of male sperm will increase after a woman reaches egg maturity. Although not yet widely used, the researchers believe the new method could have an important impact on predicting the number of boys.