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good rules are superior

Mathematics is an artificial language. It uses precise definitions, logical deductions, and strict rules to prove conclusions. These conclusions are called "theorems". We know that a theorem is true because we already have created, or deduced, a proof for it. Consider "One plus one equals two". Its proof is technical and uses set theory. But we know that "1+1=2" is true: we have a proof for it. 

Now, consider the natural language assertion "If you work hard and smart, you will succeed." This is false. It has proven to be false in the past. It will prove to be false in the future. But it sounds good, so many management gurus use it. But it's false. 

In contrast, consider the theorem "When you use good rules, you meet your goals." This is true. It has been mathematically proven to be true. It was true every time in the past. It will be true every time in the future. And that's why Rules-At-Work uses it. It's true. more truth by mathematics
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Management consultants often use models to describe client goal-meeting processes. But nearly all models are superficial, contradictory, or just false. 
Popular models say whatever seems to be in vogue: new buzzwords, clever anecdotes, celebrity guru quotes, hip gimmicks, today's whim. But flashy words can window-dress bad advice.
Scientific models assemble empirical evidence into general hypotheses to make predictions about what will work. But misperceived data, human biases, vague language, or contradictory evidence renders a hypothesis false. And that can produce bad results.

In contrast to faulty types of models,
mathematical models use precise definitions, logical deductions, and strict rules to reach certain and provable conclusions. For example, the number line is a mathematical model of addition. So simple addition equations, like "1+1=2", are always true. Rules-At-Work uses a superior, mathematical model to analyze  problem-solving and goal-meeting processes. more about mathematics
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When you use good rules,

you meet your goals.