Take some very good outcome—total bliss for everyone.
The actual outcome is considered to be determined by chance.
Other factors that could affect the outcome also need to be considered.
A plainly bad surgeon could do everything wrong but still have a good outcome.
However, there is no support for this outcome in this population of voters.
It is for the UK to choose between such a positive outcome or a no-deal outcome.”
The utility of each outcome is weighted according to the probability that the act will lead to that outcome.
Shares in an outcome that is considered more likely to occur then trade at a higher price than those that represent a less likely outcome.
Note that, using the terminology introduced in the previous section, this is a purely outcome-oriented (“outcome-only”) definition of drift.
The intuition behind the diminishing marginal utility analysis of risk aversion was that adding money to an outcome is of less value the more money the outcome already contains.
In other cases it is suggested that to explain an outcome probabilistically is to produce facts which raise the probability of that outcome over what it would have been those facts being ignored.
In response to the petition, a Government spokesman said: "Whilst striking a deal with our EU partners remains the outcome we expect, no deal plans are well-developed and we stand ready to make a success of Brexit, whatever the outcome of our negotiations."
Former chancellor Philip Hammond – thrown out of the Conservative parliamentary party by Mr Johnson for opposing a no-deal Brexit – said: “Leaving without a deal would not be a ‘good outcome for the UK’, nor would it be the outcome Boris and the Brexiteers promised.
The outcome function will take care to associate to each individual player’s vote the final outcome of the collective decision, e.g., selecting an outcome voted by a set of Countries with voting weight of at least 12, or resulting in no decision if no consensus is reached.
Expected value can be calculated by (a) multiplying the probability of a successful outcome by the value of that outcome; (b) multiplying the probability of an unsuccessful outcome by the cost of that outcome; and (c) taking the sum of the results of (a) and (b).
(A) Random sequence generation (selection bias), (B) allocation concealment (selection bias), (C) blinding participants and personnel (performance bias), (D) blinding of outcome assessment (detection bias), (E) incomplete outcome data (attrition bias), (F) selection bias (reporting bias), and (G) other bias.
Although ⟨going to the office⟩ is a prerequisite for the best outcome (viz. the outcome that follows ⟨voting for a language requirement⟩), ⟨going to the office⟩ would, in fact, result in the worst outcome (viz. the outcome that follows ⟨discouraging the student from seeking psychiatric aid⟩).
Continuity implies that no outcome is so bad that you would not be willing to take some gamble that might result in you ending up with that outcome, but might otherwise result in you ending up with a more favourable outcome, by your current lights, provided the chances of the better outcome are good enough.
However, a majority of the voters (voters 1, 2 and 3) do not support the majority outcome on a majority of the issues (note that voter 1 does not support the majority outcome on issues 2 and 3; voter 2 does not support the majority outcome on issues 1 and 3; and voter 3 does not support the majority outcome on issues 1 and 2)!
Furthermore, whenever an entire stream of evidence contains some mixture of experiments and observations on which the hypotheses are not fully outcome compatible along with others on which they are fully outcome compatible, we may treat the experiments and observations for which full outcome compatibility holds as a separate subsequence of the entire evidence stream, to see the likely impact of that part of the evidence in producing values for likelihood ratios.
- something that results
- a phenomenon that follows and is caused by some previous phenomenon
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Furthermore whenever an entire stream of evidence contains some mixture of experiments and observations on which the hypotheses are not fully outcome compatible along with others on which they are fully outcome compatible we may treat the experiments and observations for which full outcome compatibility holds as a separate subsequence of the entire evidence stream to see the likely impact of that part of the evidence in producing values for likelihood ratios