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These leaps come in three forms: forward leaps where the fish lands head first, similar jumps with a tail first re-entry or somersaults.
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Now after picking the coin, you flip it three times and observe that it lands heads each time.
Then in the long run, about 1/3 of the wakings would be Heads-wakings - wakings that happen on trials in which the coin lands Heads.
Assume that you're presented with three coins, two of them fair and the other a counterfeit that always lands heads.
For instance, suppose you have opinions only about three propositions: First coin toss lands heads, Second coin toss lands heads, Third coin toss lands heads.
$H$ is the proposition that the coin lands heads up.
2. The proposition expressed by the relevant utterance of the sentence, 'The coin lands heads' does exist even when the coin doesn't land heads.
For instance, the probability of a coin landing heads is a half exactly when in a series of similar coin tosses, the coin lands heads half the time.
Now suppose that the first coin toss lands heads, but all the others land tails.
The trivial case might be this: a coin is tossed and lands heads.
Your credence that it will lands heads is 0.7 and your credence that it will land tails is 0.6.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com