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Cake day: July 2nd, 2023

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  • > binom.test(11,n=24, alternative = "two.sided")
    
    	Exact binomial test
    
    data:  11 and 24
    number of successes = 11, number of trials = 24, p-value = 0.8388
    alternative hypothesis: true probability of success is not equal to 0.5
    95 percent confidence interval:
     0.2555302 0.6717919
    sample estimates:
    probability of success 
                 0.4583333 
    

    Probably not. Or at least we can’t conclude that from the data. ¯\_(ツ)_/¯





  • But the vector space of (all) real functions is a completely different beast from the space of computable functions on finite-precision numbers. If you restrict the equality of these functions to their extension,

    defined as f = g iff forall x\in R: f(x)=g(x),

    then that vector space appears to be not only finite dimensional, but in fact finite. Otherwise you probably get a countably infinite dimensional vector space indexed by lambda terms (or whatever formalism you prefer.) But nothing like the space which contains vectors like

    F_{x_0}(x) := (1 if x = x_0; 0 otherwise)

    where x_0 is uncomputable.