The mythology of science asserts that with many different scientists all asking their own questions and evaluating the answers independently, whatever personal bias creeps into their individual answers is cancelled out when the large picture is put together. This might conceivably be so if scientists were women and men from all sorts of different cultural and social backgrounds who came to science with very different ideologies and interests. But since, in fact, they have been predominantly university-trained white males from privileged social backgrounds, the bias has been narrow and the product often reveals more about the investigator than about the subject being researched.

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Successful Project Management: PLAN, EXECUTE, EVALUATE Sounds simple, but most projects aren't well planned nor are they evaluated well. The tendency is to jump right into execution and as soon as execution is completed (which usually isn't soon), move on to the next project without evaluating what happen on the present project and what could have been improved. Successful project management requires more front and back end resources (and less middle) than are usually allocated.

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Salesforce.com is selling an on-demand model that gives customers the ability to roll out a CRM deployment quickly and easily and then scale that deployment either up or down to meet their business needs. So far, small and midsize businesses have taken the best advantage of that, but we are starting to see larger companies that are seriously evaluating an on-demand model.

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Salesforce.com is selling an on-demand model that gives customers the ability to roll out a CRM deployment quickly and easily and then scale that deployment either up or down to meet their business needs, ... So far, small and midsize businesses have taken the best advantage of that, but we are starting to see larger companies that are seriously evaluating an on-demand model.

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The art of drawing conclusions from experiments and observations consists in evaluating probabilities and in estimating whether they are sufficiently great or numerous enough to constitute proofs. This kind of calculation is more complicated and more difficult than it is commonly thought to be. . .

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