## Summary

- Martin Kleppmann's fatal mistake.
- Physicochemical kinetics does mathematics.
- The half-life of the cluster.
- We solve nonlinear differential equations without solving them.
- Nodes as a catalyst.
- The predictive power of graphs.
- 100 million years.
- Synergy.

In the previous article, we discussed in detail Brewer's article and Brewer's theorem. This time we will analyze the post of Martin Kleppmann "The probability of data loss in large clusters".

In the mentioned post, the author attempts to simulate the following task. To ensure the preservation of data, the data replication method is usually used. In this case, in fact, it does not matter whether erasure is used or not. In the original post, the author sets the probability of dropping one node, and then raises the question: what is the probability of data loss when the number of nodes increases?

The answer is shown in this picture: