Second, journalists need to understand what Trump is doing and refuse to play by his rules. He is going to use the respect and deference typically accorded to the presidency as an instrument for spreading more lies. Reporters must refuse to treat him like a normal president and refuse to bestow any unearned legitimacy on his administration. They must also give up their posture of high-minded objectivity — and, along with it, any hope of privileged access to the Trump White House. The incoming president has made clear that he expects unquestioning obedience from the press, and will regard anyone who doesn’t give it to him as an enemy. That is the choice every news outlet faces for the next four years: Subservience and complicity, or open hostility. There is no middle ground.
Compensatory Equalization of Treatment - This is the only threat of the four that primarily involves the people who help manage the research context rather than the participants themselves. When program and comparison group participants are aware of each other's conditions they may wish they were in the other group (depending on the perceived desirability of the program it could work either way). Often they or their parents or teachers will put pressure on the administrators to have them reassigned to the other group. The administrators may begin to feel that the allocation of goods to the groups is not "fair" and may be pressured to or independently undertake to compensate one group for the perceived advantage of the other. If the special sociology tutoring program was being done with state-of-the-art computers, you can bet that the parents of the children assigned to the traditional non-computerized comparison group will pressure the principal to "equalize" the situation. Perhaps the principal will give the comparison group some other good, or let them have access to the computers for other subjects. http:///kb/Assets/images/
Many mathematical models of physical systems are deterministic. This is true of most models involving differential equations (notably, those measuring rate of change over time). Mathematical models that are not deterministic because they involve randomness are called stochastic . Because of sensitive dependence on initial conditions , some deterministic models may appear to behave non-deterministically; in such cases, a deterministic interpretation of the model may not be useful due to numerical instability and a finite amount of precision in measurement. Such considerations can motivate the consideration of a stochastic model even though the underlying system is governed by deterministic equations.