  This paper introduces and explores the idea of data poisoning, a light-weight
peer-architecture technique to inject faults into Python programs. This method
requires very small modification to the original program, which facilitates
evaluation of sensitivity of systems that are prototyped or modeled in Python.
We propose different fault scenarios that can be injected to programs using
data poisoning. We use Dijkstra's Self Stabilizing Ring Algorithm to illustrate
the approach.
