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methods. As outlined above, the practical utility of CBT is such cases will be limited if the client is not able to identify with the model and collaborate with the methods. Given the nature of some aspects of eating pathology (outlined below), it will be important to consider ways of helping some clients to overcome their dif culties with CBT (e.g. recognition of emotion, or coping with abandonment fears and control issues for long enough to develop a working relationship). Cognitive-behavioural theory has been used as the basis for treatment programmes for eating disorders since the early 1980s. Garner and Bemis (1982) suggested a CBT approach to the management of anorexia nervosa, while Fairburn (1981; Fairburn & Cooper, 1989) developed a similar programme for bulimia nervosa. More recently, various clinicians and researchers have extended this work to address binge eating disorder, and others (e.g. Agras et al., 1997) have discussed the application of CBT methods as part of the broad-based approach that is most likely to be effective in working with obesity. However, CBT is still relatively underdeveloped in work with children and adolescents with eating disorders. In addition, CBT in this eld has been limited by a focus on diagnosable cases, with inevitable dif culties of generalisability to the many atypical cases. Nevertheless, understanding the principles of CBT should enable us to develop a focus for understanding, and perhaps managing, problem eating behaviours.

To get the average we must divide the sum of the results by the number of measurements (12): 53 = 4.4167 12 Now we can ask ourselves a different question: What do we expect the average to be, knowing that we are tossing a (supposedly) fair die with 8 sides If you know that a 1 has the same probability of showing up as an 8 or 2 or 4, and so on, then we know that the average should be 1 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 1 1 1* + 2 * + L + 8 * = = 4.5. 8 8 8 8 Notice that we take the average of all the possibilities. What this amounts to is multiplying each outcome by its probability (1/8) and adding up all of these products. All we just did in the arithmetic was to take the common factor (probability) out and multiply the sum (of the possible outcomes) by this probability. We could do this only because the probability is the same for each outcome. If we had a different probability for each possible outcome, we would have to do the multiplication rst. This is important when we discuss nonuniform probability distributions next. Using a more formal notation for average, we usually denote it by the Greek letter mu ( , pronounced mee-u ). Now we introduce the summation symbol, denoted by the uppercase Greek letter capital sigma ( ). Usually there is a subscript to denote the index and a superscript to show the range or maximum value. From our example, we can rewrite the average above as:

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Liniger then went back into the office to continue his conversation with the agent This time, his insistence and encouragement had risen a few notches This is where you belong, Liniger told the agent This is what s best for your family You re going to thrive here And then, in the next breath: What I need from you now is a five hundred dollar deposit The agent didn t even know why he did it; but he had a few hundred dollars in cash in his pocket and wrote out a check for the rest, on the spot Liniger took the cash; said, Be back in a minute ; and then went out and paid the typewriter salesman He was back sitting with the agent, reveling in the dream, within the next eye blink, even as the agent tried to sort out what had just happened.

In the years immediately following the Second World War, European policymakers were keen to learn lessons from the past. One of those lessons was that falling farm prices were a source of impoverishment for many of the small-landholding farmers that made up the bulk of European agriculture. For many reasons, policymakers were keen never to replicate the economic conditions of the interwar years, so they thought of a solution to the problem. The solution they came up with was simple in theory but had some practical consequences that were probably unintended. They developed what is known as the Common Agricultural Policy (CAP). Put simply, this policy would guarantee a minimum price for farmers and smalllandholders, with the revenue made up from general taxation (via value added tax, or VAT). The problem was that technical progress and greater efficiency in agriculture combined with the guaranteed price to give an incentive to overproduction. Because farmers could claim subsidies simply for producing goods that nobody actually needed to buy, they always had an incentive to produce more than the market needed. As a result of the overproduction, European consumers paid higher prices (through guaranteed pricing), higher taxes (for the subsidy to overproduce) and got lakes of wine that no one would ever drink and mountains of butter that no one would ever eat. Meanwhile, reforming the CAP is now regarded as one of the most intractable problems in European politics as well as one of the most pressing.

Walking out of the office a half hour later, ready to embark on a new career, he had the sense that he had just been picked up by a tornado and placed somewhere else, hair mussed but otherwise unharmed, with a bright new outlook on life..

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