The policy must be changed to allow the individual to continue their current drinking patterns without causing harm. As a result, the benefits from the policy do not outweigh its costs. Finally, it is worth considering the case where there are a large number of people on the intervention in the same community. If a large number of people were on the intervention, the probability of their health condition being substantially improved is low and therefore there is a low probability of the intervention having a beneficial effect on the individual.
In such circumstances, the policy's benefits will be smaller, but these benefits cannot outweigh the costs of implementing the policy and must be compensated in some way. In fact, as can be seen from Figure 2, the number of persons on the intervention has a relatively large impact on the overall probability of being affected, as shown by the curve. This is because of the positive effect the number of people on the intervention has on the average fat intake and on the average carbohydrate and fiber intake, both of which are relatively low for a country of this size. The overall probability of being affected by the intervention increases with increasing numbers on the intervention, indicating that the intervention can influence the probability of the disease.
E 1 Theophylline 0- E 2* / where Q is a variable that is equal to the expected benefits of the intervention. If the X variable is positive, then the total benefit is greater than or equal to x Q, and if this Y-axis value is negative, then the total benefit is less than or equal to x Q, and the Y-axis value is negative too. The only difference between the two X variables in Kahneman and Tversky's original studies in 1979 was the choice of whether the X variable was a positive or negative number.
Theo-24 Cr works relaxing muscles in lungs, decreases bronchospasm. It is used to heal asthma and chronic bronchitis.