The post generating texagg04‘s (latest) Comment of the Day dealt with the tricky and common ethics problem of enforcing reasonable rules strictly in the face of situations where compassion and sympathy pull us toward leniency, because the penalty for non-compliance seem out of proportion to the transgression. He correctly identified this as a problem involving the Ethics Incompleteness Theorem (or Principle), which is an ethics analysis concept used frequently here, and one of my favorites. The Theorem, as stated in the Ethics Alarms Concepts and Special Tools, a.k.a. “the Rule Book,” holds that…

The human language is not sufficiently precise to define a rule that will work in every instance. There are always anomalies on the periphery of every normative system, no matter how sound or well articulated. If one responds to an anomaly by trying to amend the rule or system to accommodate it, the integrity of the rule or system is disturbed, and perhaps ruined. Yet if one stubbornly applies the rule or system without amendment to the anomaly anyway, one may reach an absurd conclusion or an unjust result. The Ethics Incompleteness Principle suggests that when a system or rule doesn’t seem to work well when applied to an unexpected or unusual situation, the wise response is to abandon the system or rule—in that one anomalous case only— and use  basic ethics principles and analysis to find the best solution. Then return to the system and rules as they were, without altering them to make the treatment of the anomalous situation “consistent.”

No system or rule is going to work equally well with every possible scenario, which is why committing to a single ethical system is folly, and why it is important to keep basic ethical values in mind in case a pre-determined formula for determining what is right breaks down.

 Tex expands the discussion into such areas as test scores, speed limits, and rule-making itself.  Here is his masterful Comment of the Day on the post, The Eternal Ethics Conflict: Drawing Lines, Enforcing Them:
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