Hi, there! Thanks to GameAnalytics, I can easily operate the project and check the chart. There were some things I wanted to improve in displaying the data, but they have been resolved well. This time, I would like to talk about the most important issue. That is, data reliability. Charts, that is, data, are the most important elements. However, in the case of the New User data, there are many cases where seriously incorrect data appears. If you check the provided screenshot, you can see that the number of New Users suddenly increases sharply during a certain period, while Retention decreases sharply. We can be sure that the sharp decrease in Retention is due to incorrect counting of new users. When you go to the store and check because you are excited about the sudden increase in users, you will find that the actual data is not like that. This phenomenon does not occur only in certain countries. It occurs in almost all countries where we distribute games, including the United States, Japan, and Taiwan. I am well aware that it is difficult to create completely clean data. There are various methods for measuring new users, their pros and cons, and various difficulties. This problem even occurs similarly in Google's Firebase. However, this happens much more often with GameAnalytics. Another service we use, Adjust, has very high data reliability. As a result, we do not use some data from GameAnalytics, such as New User, in our decision-making. I am curious as to why this happens and how we can improve it. Is it because of testing in the development environment? Or because we use test devices? Or because a large number of users suddenly delete and reinstall the app at once, or use programs like App Player?