'jointly true' is not a correct phrase in written English.
However, 'true in joint' would be an acceptable phrase to use, and it has the same meaning. For example, you could say, "The statement was true in joint; both parties agreed on the facts."
For instance, because "not (… or …)" can be rephrased as "neither … nor …," the first De Morgan law can be read as "both p and q if and only if neither not-p nor not-q"; thus it expresses the principle that two propositions are jointly true if and only if neither of them is false.
It might mean that EXT and SK are not jointly true in our world.
If so, then EXT and SK cannot be jointly true, and the incompatibilist wins the debate.
Van Fraassen stipulates the following restriction: propositions about a physical system cannot be jointly true, unless they are represented by commuting observables.
Deductive logic then tells us that the logical structures of some sentences i.e., the syntactic arrangements of their logical terms preclude them from being jointly true of any possible state of affairs.
9. Suppose that N is defined by relativizing N* to a class of propositions S. Then N can be equivalently defined by restricting the quantifier over P*-possible worlds to those worlds where the members of S are jointly true.
Let us also say that some given facts (jointly) make true proposition p in world w iff they all exist in w and they necessitate the proposition.
The English sentence "There are cows" contains three words: are there then three bits in the world corresponding to this sentence, and jointly making it true?
True, filing jointly often produces modest tax savings compared with electing "married filing separately" status.
Poor Economics is written beautifully, with a gently conversational voice that seems too true to be jointly authored – and indeed turns out to be Banerjee's alone.
In the case of a linear regression analysis model, if X (and Z) are (jointly) normally distributed and the true coefficient of the higher-order or interaction term in the analysis model is zero, the conditional distribution of X given Y (and Z) is given by the linear regression of X on Y (and Z).
