How to tell fortune _ how to tell good or bad fortune

How to predict divination is as follows:

From the root of the index finger, count clockwise until the root of the middle finger is decyl (ghost). This small circle is the exact position of the ten-day stem on the palm finger.

Starting from the root of the index finger of the left hand, the second section goes up to the index finger, B, and then up to the index finger. The first section is C, the top of the index finger is D, the top of the middle finger is E, and the top of the ring finger is self.

From the top of the ring finger down to the first and second joints of the ring finger, the second and third joints are Geng and Xin, the root of the ring finger is Ren, and the root of the middle finger is Gui.

Yi-ology lovers can show the ten-day dry phase, combination, mutual restriction and the orientation of the five elements on their fingers. If a has been closed on the finger, it will be closed every four positions.

What is divination?

Divination is an act of speculating human destiny, which belongs to the category of metaphysics. The science of fortune telling is called Yi Xue, also called numerology. Its theoretical core is yin and yang, five elements, eight diagrams and the Book of Changes, and its theoretical system is complex and profound.

Fortune-telling in a narrow sense is the prediction of birth (four pillars and eight characters), while fortune-telling in a broad sense includes reading numbers, palm reading, eight diagrams, six hexagrams, Taoism, six pillars prediction and so on. Ancient divination, black and blue, and divination are all fortune-telling.

There are many divination methods based on the Book of Changes, such as Liu Yi, plum blossom easy number, four pillars (eight characters), blind sect, Daoism, Liu Ren, Wei Zi's fortune-telling, palm reading and various geomantic schools. The most suitable method for beginners to learn is the volume generation gram method of plum blossom easy number, which has the advantages of simple and fast learning and strong randomness.