Overview

The ETH merge has put the operation of miners into question. Understanding the behaviour of miners paves the way to predict how the miners' operation may be influenced by the ETH merge.

This dashboard attempts to understand the preference of miners on the number of transactions in blocks they mine.

First the dashboard provides an overview of the distribution of number of transactions per block. Then, it presents the distribution of miners in terms of activeness. Activeness is measured by the number of blocks they have mined. Finally, combining the two analysis on the number of transactions per block and the activeness of miners, the dashboard shed some light on the preference of miners in terms of number of transactions per block.

Number of transactions per block

This section presents statistics of transaction counts. In the specified time period the min, max, average and median of transaction count per block is presented.

We can also see how these statistics have been changed over time. The time series data show that we have almost the same pattern since one year ago.

To change the time period please use the dropdown above of this dashboard. past_days by default is 365 (equal to one year) meaning that the the time period starts from 365 days ago.

Descriptive Analysis

Graph next to this box shows the distribution of transaction count among blocks.

We can see that if the blocks are order by number of counts and divide them in n equal group what is the highest number of transaction count.

You can change the number of divisions (n) by using dropdown above this dashboard.

The other graph next to this box show how many miners mine each of the group of blocks based on transaction count.

The graph shows that there is less likely that miners mine a block with high number of transactions than a block with low number of transactions. But this difference is not significant.

Conclusion

After splitting blocks into n groups based on transaction count we can examine how miners are distributed among groups.

Here we can focus on top 10% of miners based on their activeness.

The graph below shows the distribution of activeness of (top 10% active) miners among different group of blocks. We can see there are some miners that mine blocks in group 1 and 2 (low number of transactions) more than the other groups. Also there are miners that are not prefer to mine blocks with low number of transactions