Not exact matches
For most economists, history is usually little more than a data sequence whose values are plugged into mathematical
models — whose
implicit assumptions too often these same economists fail to understand.
What I like about the
model I have described above is that it doesn't allow analysts to hide their
implicit assumptions about credit growth, GDP growth, and the relationship between the two.
Perhaps we were prevented from raising the question of alternatives because of an
implicit assumption that there existed an American
model which all these nations were wrongheaded enough to reject.
Implicit in the duplicate - and - mutate
model is the
assumption that the toxins need to evolve rapidly to be effective because many venomous animals can be locked in an arms race with their toxins» targets.
The
implicit assumption here is that the problem will turn out to be less serious than the
models predict; thus, any carbon we have chosen to leave in the ground out of fear for the consequences of global warming will have gone uncombusted for nothing.
At least if one is going to use some formula to «value» the markets we should examine the logical underpinnings and faulty
assumptions implicit in every
model.
There is an
implicit assumption that the
models are very close to resembling Earth's climate and just need tweaking, but no acknowledgement that the system is probably much more complex than we know or can
model.
Concerning the topic of the «correct fitting function» and the errors of it: any
assumption of a function fitting to a set of data is an
implicit assumption of a class of physical
models, and its value lies not in itself but in its predictive capability.
The
implicit assumption here is that the problem will turn out to be less serious than the
models predict; thus, any carbon we have chosen to leave in the ground out of fear for the consequences of global warming will have gone uncombusted for nothing.
The problem I think is the
assumption that is
implicit in the climate science activist community and that is somewhat reflected in the IPCC that
models are adequate for «projecting» or «predicting» (depending on what rather irrelevant semantic nuances you want to use) what will happen in 100 years.
May I recommend another
implicit / hidden and commonly overlooked critical factor is the
assumption of cause vs effect, or phase and feedback sign in
models.
There is an
implicit assumption that the
model, not only matches the 30y period temperatures but also correctly captures the climate that is producing those changes.
This makes the post-war drop less obvious to the eye and presumably less disruptive to attempts to make climate
models match the historic temperature record, though it may equally be argued that this is an attempt to make the record better match the
assumptions implicit in the
models.
Although the
models contain some well - established science, they also contain a myriad of
implicit and explicit
assumptions, guesses, and gross approximations — mistakes in any of which can invalidate the
model outputs.
I'm sorry that you didn't like my description as an error of the IPCC's restatement of the Forster / Gregory 06 results using a prior that contradicted the non-informative prior
implicit in study's regression
model and error distribution
assumptions.
The
implicit assumption underlying all those multi-
model projections and averages is that the
model physical theory itself is physically complete and would yield a physically true representation of the climate if only the parameters were exactly known, along with the initial conditions.
This incorrect
assumption is
implicit in e.g. the equally incorrect idea that the average of an «ensemble» of untested, uncalibrated, unvalidated, and unverified
models has some kind of statistical value.
While the study's authors argue that «
modeling tax changes as a substitute for quantifying the economic impact of regulatory proposals is a widely accepted practice,» they offer no analysis whatsoever to back up their
assumption that the regulations at issue impose an
implicit tax anywhere near that size.
But no matter how complex the details are
modeled, the bottom line is that somewhere in the
assumptions underlying these
models, a feedback percent of 67 - 80 % is
implicit]
The
implicit assumption seems to be that the program affects parenting directly through, for example, instruction,
modeling of appropriate behavior, rehearsal and feedback.