Figure 12 shows a tangible representation of the trust imbalance concept represented in Figure 3. By comparing the edge lengths (Euclidean distance) and complexity values using a ratio of the form distance/complexity, we find that the median distance is 0.00235542 for Bitcoin and 0.000860686 for BitcoinCash. The counterintuitive finding is that although the Bitcoin economy is more complex in macroeconomic complexity terms (diversity, and ubiquity of services), during the stage of formation of the competing BitcoinCash economy the complexity of models required to describe it is higher, given a similar level of accuracy. That is, even in terms of structure, the older economy is in a relatively steady state in relation to the new entity. 

Dynamics 

To model the dynamics we make use of Forrester's System Dynamics approach, a tool familiar to econometricians and policymakers. If we simplify to obtain the form of a two-sided system (what one economy loses the other gains) and focus on the flows in one direction, the schematic is as shown in Figure 13. The "goal" is an implicit input to the top component, and the flow of attention (with a gauge that implies a variable rate of action) is an input to the stock component at the bottom; the feedback loop represents information about the state of the level of trust.