Thanks Tim, yes your translation makes sense. Where this became a problem for me was the antagonism between practicality and skepticism. It actually made more practical sense to do poor quality work, so our inclinations would lead us to believe we should. But even if we have a complete set of reasons that extends as far as we can think of, the perceived causality can be broken down to higher resolution and examined in more detail. So even the most clear reasons aren't complete.
To do otherwise would be to drown all mystery in probabilities, the chances that something were to be beneficial to company trumping any alternate cause. The proposition gets around this by using the cause itself as a sum total of alternate causes like below:
EVENT GOOD WORK (cause)
---> NO FINANCIAL IMPACT (effect)
-----> OBSERVATION (effect)
changes to
EVENT GOOD WORK {INCREASING SKILLS, SETTING EXAMPLE TO OTHER EMPLOYEES, OTHER PEOPLE, etc}
---> CLIENT SATISFIED, END USER EXPERIENCE IMPROVED, MORE LONG TERM BUSINESS, WORSE TIME MANAGEMENT, etc
-----> OBSERVATION
Another equivalent would be
TEST EXPERIMENT COMPLETE (cause)
----> KILL TEST RAT POPULATION (effect)
----> NO PERCEIVED PROBLEM (effect)
changes to
TEST EXPERIMENT COMPLETE
---> KILL TEST RATS {cause rats pain in death, reduce empathy towards animals and humans through some real factor, etc}
---> TEST EXPERIMENTS LOSE GOAL OF GREATER GOOD DUE TO REDUCED OVERALL EMOTIONAL RESPONSE
When I am adding in these new details they too are based on the same physical phenomena that generated the cause that was a pure and acceptable reasoning. To express the cause in terms of their net effects, these internal forces were filtered out. These are the kinds of reasons that in the real world usually make people say "Are you serious? Give me a Break!" The question was, is it worthwhile to bother considering them?