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I started this book by mentioning that the importance of catching liars has increased due to the increase in security threats and terrorist attacks. I also reported that researchers have responded to this demand by testing all sorts of lie detection techniques. I mentioned that we need to examine these techniques carefully. We need to nd out how these techniques work and indeed, whether they work, because introducing fallible tools will not bring the solution of catching liars any closer. In this book I reported that several researchers have claimed to have developed techniques that discriminate between truths and lies with very high accuracy. My advice to them is to keep their feet rmly at the ground. In my view no tool is infallible and each tool developed to date has considerable problems and limitations. I hope that this book has convinced readers why I have come to this somewhat pessimistic conclusion. This does not mean that distinguishing between truths and lies is not possible. On the contrary, there are numerous ways and opportunities to pinpoint liars. I hope that this book provides readers with insight into how to achieve this.
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Criteria Set #1: Style 1. U.S. 2. Small-cap 3. Value Criteria Set #2: Performance 4. Track record > = 3 years 5. Sharpe > = top 25% Criteria Set #3: Fees 6. Management fees < = 1% 7. No performance fee Criteria Set #4: Portfolio Portfolio characteristics cannot be done in the screening stage. Criteria Set #5: Tenure Manager tenure > = 10 years Database insufficient to properly assess this. Criteria Set #6: Status 8. Product open 9. Product assets > = $50M
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Per Serving (with Splenda): (2 1 2-x-21 2-inch/6.25-x-6.25-cm piece, 55 g) Calories 146; Available carbohydrate 25 g; Carbohydrate 26 g; Fibre 1 g; Fat 4 g; Protein 2 g; Cholesterol 1 mg; Phosphorus 58 mg; Potassium 72 mg; Sodium 231 mg. 1 Serving = 1 1 2 Carbohydrate Choices
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