the normal trends. Once a significant change in service is identified, it is subject to correlation against other metrics. More constrained boundaries simply lead to more research cost and false positives. We assume throttling designed to stifle expression or access is not a subtle event.

Limitations
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While the integration of NDT into $\mu$Torrent has enabled the massive proliferation of points of observation across a variety of geographic locations and network conditions, we remain relegated to user-contributed data collection based on a limited set of volunteers. Changes in connectivity or quality of service cannot directly be infered as an administratively-imposed censorship event. Additionally, the Network Diagnostic Test’s data collection does not occur in isolation of other externalities that are likely to affect performance. Cross traffic, local and upstream network activities from other applications or users, independent of the test can bias results through introducing additional latency or failures as the test mechanism competes for bandwidth and computing resources. As an end user is positioned at the border of the network, they cannot independently account for the conditions outside of their control that may impact the results of this test. Therefore, like others before, we attempt to mitigate and account for 