Everyone knows that online gambling is a trap, and it's impossible to win continuously. But do you know what tricks and algorithms the dealer uses to make you unknowingly keep losing? Hello everyone, today we are revealing the secrets of online fishing games. When it comes to fishing, my memory goes back to the internet cafes or game halls in the early 2000s, where in a dark corner, a group of middle-aged men frantically pressed buttons with a pile of coins.

From that time, I knew this was gambling, but slowly, the crackdown on offline gambling in the country became increasingly severe, and this kind of thing gradually disappeared. I didn't expect this gambling method to shift online. Through the submissions from victims' fans, a tech-savvy friend hacked into an online fishing gambling backend, unveiling my long-standing curiosity.

First, there are two types of online gambling control behind the scenes. The first is called payout rate adjustment. Unlike traditional gambling, fishing games do not have a fixed value; they can only be set with a return probability. Here, someone might ask, what is the payout rate? Simply put, if a gambler enters with 100 yuan and leaves with 60 yuan, the payout rate for fishing is 60 ÷ 100 * 100% = 60%. This is why people who first encounter online gambling often win in the beginning; the dealer intentionally lets them win when they see new players. Gambling platforms are not afraid of you winning; they are afraid of you not playing. Once you get caught up in it, the second step of behind-the-scenes control begins: one-click kill. This is easy to understand; as long as the dealer activates this in the background, it doesn't matter if you have 10,000, 100,000, or 1 million yuan, in the end, it will be forcibly cleared to zero. Don't think that catching a big fish will help you break even; the more you play, the more you lose, and the more you lose, the more you want to win. In the end, you will just become a fish in the dealer's fishing net.

Alright, this concludes the content of this episode. If this episode was helpful to you, please give us a three-click support. See you next time.