ArfinGreebly
Moderator Emeritus
The Process
Indeed.
The primary trouble with a set of rules that detects "process errors" is that nothing in that realm addresses how to actually analyze data, how to identify domain-specific data defects and how to properly source and weight them.
If you're going for causes and remedies, you have to know how to examine and analyze the data itself, not arguments about the data.
In the world of business troubleshooting, rules-o'-rhetoric play no part.
Data analysis, situation analysis, ideals -vs- departures, and the resulting identification of causes and/or motives (or the "whys" if you prefer) are the meat and potatoes, the foundation of investigative method.
The investigation into the ATF's crimes (or "misdeeds breaching the law" if you prefer) isn't a debating exercise.
It's an exercise in sifting through the data you have, determining what data you don't have, where the conflicts are within the data, identifying time-line inconsistencies, locating and sourcing the falsehoods, and so on.
And doing it in the face of hostile and dishonest witnesses and participants.
Making sense of the data obtained therefrom -- filtered for exposure to the public -- means engaging in some interpolation, but the same data analysis rules apply. You just know that you're working with less data.
Even so, the indicators are pretty clear: there have been crimes and there has been a conspiracy.
The rest is a bug hunt.
Logic is a fundamental tool of rational analysis. Many of the logical fallacies are an indication of a failure in the process used to reach a conclusion. It is difficult to go from good data to a good conclusion given a bad process.
Indeed.
The primary trouble with a set of rules that detects "process errors" is that nothing in that realm addresses how to actually analyze data, how to identify domain-specific data defects and how to properly source and weight them.
If you're going for causes and remedies, you have to know how to examine and analyze the data itself, not arguments about the data.
In the world of business troubleshooting, rules-o'-rhetoric play no part.
Data analysis, situation analysis, ideals -vs- departures, and the resulting identification of causes and/or motives (or the "whys" if you prefer) are the meat and potatoes, the foundation of investigative method.
The investigation into the ATF's crimes (or "misdeeds breaching the law" if you prefer) isn't a debating exercise.
It's an exercise in sifting through the data you have, determining what data you don't have, where the conflicts are within the data, identifying time-line inconsistencies, locating and sourcing the falsehoods, and so on.
And doing it in the face of hostile and dishonest witnesses and participants.
Making sense of the data obtained therefrom -- filtered for exposure to the public -- means engaging in some interpolation, but the same data analysis rules apply. You just know that you're working with less data.
Even so, the indicators are pretty clear: there have been crimes and there has been a conspiracy.
The rest is a bug hunt.