The phrase "about what is reasonable" is correct and usable in written English.
It can be used when discussing standards, expectations, or judgments regarding what is considered reasonable in a particular context.
Example: "In our discussions, we need to reach a consensus about what is reasonable in terms of project deadlines."
Alternatives: "regarding what is reasonable" or "concerning what is reasonable".
Indeed, they can disagree about what is reasonable, as anyone who has sat through a judge's instructions on reasonable doubt knows.
But each of us has a unique profile of motivational drivers, values, and biases, and we have different ideas about what is reasonable.
"There have been discussions about what is reasonable accommodation as defined by the A.D.A. regulations," he said, referring to the Americans with Disabilities Act.
"They have to have an independent body looking at comparable data and, based on that, make a decision about what is reasonable compensation and document the independence of the process and the comparables that they used," she said.
Distancing themselves from inherited discourses, each film tries to invent a way of supporting its arguments about what is reasonable or irrational, what is sensible or resolutely subversive in the review of the history of the period of the dictatorships.
A journalist doesn't create facts, but he does select what to repeat and how to colour it, and Wade is long on speculating about what "is reasonable to assume", and short on circumspection of his own, or anthropologists', yarn-spinning.
Teach them about portion sizes, what is reasonable, and what is not.
"We don't talk about the model of society we want, what is reasonable, what is sustainable". M Dedieu continues: "Is it acceptable that some will contribute to the system for 45 years while others will have contributed only 35 or 40 years?
The trick is not to take on blindly what is given to us, but to awaken doubt about it, question it, accept what is reasonable and appeals to our sensibility, so that it becomes something new in us, not something that belongs to Plato or Aristotle or Darwin or Einstein.
In addition, I examine propensity score analysis from a Bayesian perspective primarily because the Bayesian framework explicitly allows the analyst to incorporate what is reasonable to believe about the causal effect into an analysis.
However, following the discussion given in Kaplan (2014), the general approach to specifying a prior distribution for the causal effect is to consider first what is reasonable to believe about the effect and to further consider the source of our belief.
