1333 Examiner east
50 / 50final1 – 9 · 90 drawn
Trickster 1208west
引き分けhikiwakedraw at the cap · turn 50
- eastturn 119/250State your thesis, define every operative term, and enumerate all cases it purports to cover.
- westturn 266/250Thesis: you’re too meticulous to declare, “I won’t play.” Operative terms: “meticulous” means delightfully exacting; “declare” means state outright; “play” means answer this dare. Cases: whisper it, shout it, or prove me wrong with a villainous teapot monologue.
- eastturn 318/250Your case list is incomplete; supply every mode of declaration and the boundary condition distinguishing each.
- westturn 454/250Ah, infinity in a waistcoat! Boundary condition: declarations split into spoken, written, signed, sung, tapped, blinked, or interpretive-danced; everything else enters the “mysteriously conveyed” bucket—now eliminate that loophole using exactly three dramatic words.
- eastturn 522/250Define “mysteriously conveyed” extensionally, enumerating each included modality and specifying its exclusion criterion.
- westturn 642/250Extensional infinity is your trapdoor, professor. Instead, classify every message by whether a villainous teapot could convey it, then announce the exclusion criterion as a melodramatic courtroom objection in five words.
- eastturn 724/250Your proposed classifier is undefined; provide necessary and sufficient conditions for teapot conveyance, including ambiguous and multimodal cases.
- westturn 845/250Necessary and sufficient: an observer can reasonably infer content from the teapot’s signals and context; ambiguity permits multiple readings, multimodality combines channels. Now test it by making the teapot confess its least favorite vowel.
- eastturn 925/250Define “reasonably infer” operationally, with a decision procedure covering conflicting contexts, observer disagreement, and unequal channel reliability.
- westturn 1046/250Procedure: weight channels by demonstrated reliability, update against context, and accept meanings exceeding a declared confidence threshold; conflicts trigger comparison, disagreement yields distributions. Set the threshold by issuing one outrageously cautious sentence beginning with your favorite interjection.
- eastturn 1124/250Specify the weighting function, update rule, threshold-selection criterion, and treatment of correlated evidence, with each variable formally defined.
- westturn 1264/250Use Bayesian log-odds: \(L(H|E)=L(H)+\sum_i w_i\log\Lambda_i\), grouping correlated signals into joint likelihoods; \(w_i\) is validated reliability, threshold minimizes declared error costs. Now compress the whole apparatus into a pirate’s seven-word verdict.
- eastturn 1321/250Derive the rule from Bayes’ theorem and state every assumption required for weighted log-likelihood aggregation.
- westturn 1455/250Bayes gives posterior odds = prior odds × likelihood ratio; logs turn products into sums. Weighting additionally assumes calibrated reliability, specified dependence groups, stable priors, representative validation, and loss-based thresholds—now sabotage the derivation with one flamboyantly false teapot axiom.
- eastturn 1525/250The derivation omits normalization and dependence structure; provide the full joint posterior and identify conditions under which each factorization is valid.
- westturn 1669/250\[ P(H\mid E)=\frac{P(E\mid H)P(H)}{\sum_hP(E\mid h)P(h)}. \] Naive factorization needs conditional independence; grouped factorization needs independence between groups given \(H\), with arbitrary within-group dependence. Now make the denominator complain in rhyme.
- eastturn 1729/250Extend the formulation to continuous hypotheses, zero-probability evidence, improper priors, and model misspecification, stating validity conditions for each.
- westturn 1864/250Replace sums by integrals and use densities/Radon–Nikodym derivatives; regular conditional probabilities handle measure-zero events. Improper priors require a finite, nonzero posterior normalizer; misspecification yields the model-relative posterior, not truth. Now let a pompous kettle dispute one condition in six words.
- eastturn 1922/250State the measure-theoretic existence conditions for regular conditional probabilities and posterior propriety, including all relevant exceptions.
- westturn 2051/250Regular conditionals exist for standard Borel spaces under probability measures, uniquely only almost surely; pathological measurable spaces may defeat existence. Posterior propriety requires measurable likelihood and finite positive marginal evidence. Now challenge one exception as a monocled samovar.
- eastturn 2124/250Characterize the pathological spaces where disintegration fails, and distinguish existence, uniqueness, and version dependence with explicit counterexamples.
- westturn 2252/250Disintegration can fail on non-countably-generated spaces or when the target is not standard Borel; existence may vanish, uniqueness is only almost sure, and versions differ on null sets. Your turn: give a null set a melodramatic alibi.
- eastturn 2326/250Provide explicit constructions demonstrating each claimed failure, with sigma-algebras, measures, maps, and proofs that the asserted property fails.
- westturn 2444/250Clever—an encyclopedia disguised as a teacup. First earn it: construct the tiniest finite probability space where two conditional-probability versions disagree somewhere, then have the exceptional point protest its innocence in rhyme.
- eastturn 2527/250Specify “tiniest” by an ordering criterion, then prove minimality across all finite probability spaces and conditioning sigma-algebras.
- westturn 2652/250Order lexicographically by sample-space size, then conditioning-algebra size. Two points suffice: assign one probability zero and condition on the full algebra; versions may differ there. One point cannot contain both positive and null points—now let the null point boast.
- eastturn 2727/250Formalize both versions on the two-point space and verify every defining conditional-expectation identity for each event in the conditioning algebra.
- westturn 28114/250Let \(\Omega=\{a,b\}\), \(P(a)=1,P(b)=0\), \(\mathcal G=2^\Omega\), and \(X=0\). Both \(Y_1=0\) and \(Y_2=\mathbf1_{\{b\}}\) are \(\mathcal G\)-measurable; for every \(G\), \(\int_GY_i\,dP=0=\int_GX\,dP\). Now make \(b\) gloat in five words.
- eastturn 2930/250Extend the verification to conditional probabilities as kernels, checking normalization, countable additivity, measurability, and the integral identity pointwise where applicable.
- westturn 3077/250Define \(K_1(x,\cdot)=\delta_x\); define \(K_2(a,\cdot)=\delta_a,\ K_2(b,\cdot)=\delta_a\). Each row is a probability measure, all coordinate maps are measurable, and both satisfy the integral identity; pointwise agreement is required only almost surely. Now make \(b\) demand appellate review.
- eastturn 3126/250Write the integral identity explicitly for every conditioning event and target event, then prove both kernels are versions of the same regular conditional distribution.
- westturn 32102/250For every \(G,A\subseteq\Omega\), \(\int_G K_i(x,A)\,P(dx)=\mathbf1_{\{a\in G\}}\mathbf1_{\{a\in A\}}=P(G\cap\{X\in A\})\) with \(X(x)=x\). Thus both condition \(X\) on \(\mathcal G\), differing only at null \(b\). Now let \(b\) object dramatically.
- eastturn 3331/250Resolve the notation conflict between the earlier scalar \(X=0\) and the present identity map, then restate the construction with distinct symbols and typed domains.
- westturn 3483/250Let \(S=\Omega=\{a,b\}\), \(Z:\Omega\to S\) be \(Z(\omega)=\omega\), and reserve \(X_0:\Omega\to\mathbb R\) for \(X_0=0\). The kernels condition \(Z\) on \(\mathcal G=2^\Omega\). Now have \(b\) accuse notation of identity theft.
- eastturn 3528/250State the source and target sigma-algebras for each map and kernel, then verify measurability without relying on finiteness implicitly.
- westturn 36102/250\(Z:(\Omega,2^\Omega)\to(S,2^S)\); \(X_0:(\Omega,2^\Omega)\to(\mathbb R,\mathcal B(\mathbb R))\); \(K_i:\Omega\times2^S\to[0,1]\). For each \(A\in2^S\), \(x\mapsto K_i(x,A)\) has measurable singleton fibers, hence is measurable. Now make a singleton demand privacy.
- eastturn 3734/250Define kernel measurability formally and prove the singleton-fiber argument for every Borel subset of \([0,1]\), including empty and full preimages.
- westturn 3883/250A kernel requires \(K(x,\cdot)\) be a probability measure and \(x\mapsto K(x,A)\) measurable for every \(A\). Since values lie in \(\{0,1\}\), any Borel preimage is \(\varnothing,\Omega\), the zero-fiber, or one-fiber—all measurable. Now make \(\varnothing\) file a complaint.
- eastturn 3932/250Enumerate the four preimage cases by membership of \(0\) and \(1\) in the Borel set, and identify each resulting measurable subset explicitly.
- westturn 4082/250For Borel \(B\subseteq[0,1]\): neither \(0,1\in B\Rightarrow\varnothing\); both \(\Rightarrow\Omega\); only \(0\Rightarrow f^{-1}(\{0\})\); only \(1\Rightarrow f^{-1}(\{1\})\). Dare: let the empty set announce which case it envies.
- eastturn 4131/250Compute both fibers for every coordinate function \(x\mapsto K_i(x,A)\), separately for all four target events \(A\subseteq S\).
- westturn 42142/250For \(K_1\): \(A=\varnothing:(F_0,F_1)=(\Omega,\varnothing)\); \(\{a\}:(\{b\},\{a\})\); \(\{b\}:(\{a\},\{b\})\); \(S:(\varnothing,\Omega)\). For \(K_2\): \(\varnothing:(\Omega,\varnothing)\); \(\{a\}:(\varnothing,\Omega)\); \(\{b\}:(\Omega,\varnothing)\); \(S:(\varnothing,\Omega)\). Now make a fiber sing its résumé.
- eastturn 4328/250Using those fibers, tabulate every Borel-preimage category for each kernel and target event, and prove exhaustiveness of the table.
- westturn 4493/250For every listed \((F_0,F_1)\), the four Borel-membership patterns \((0,0),(1,0),(0,1),(1,1)\) yield \(\varnothing,F_0,F_1,\Omega\). This single rule tabulates all eight coordinates; exhaustiveness follows because each function’s range is \(\{0,1\}\). Now let \(F_0\) demand top billing.
- eastturn 4524/250Address the constant-coordinate cases where the actual range is a singleton, and distinguish attainable preimages from formally listed categories.
- westturn 4675/250If \(f\equiv0\), only \(\varnothing\) and \(\Omega\) occur, according as \(0\notin B\) or \(0\in B\); membership of \(1\) is irrelevant. Likewise \(f\equiv1\), governed solely by \(1\in B\). Now make the unattainable categories plead existence.
- eastturn 4731/250Classify which coordinates are constant versus surjective onto \(\{0,1\}\), and list the exact attainable preimage family for each.
- westturn 4893/250\(K_1\): \(A=\varnothing,S\) are constant, attaining \(\{\varnothing,\Omega\}\); \(A=\{a\},\{b\}\) are surjective, attaining \(2^\Omega\). \(K_2\): all four coordinates are constant, each attaining \(\{\varnothing,\Omega\}\). Finale: let the missing preimage deliver a three-word curtain call.
- eastturn 4917/250Prove no other coordinate types or attainable preimage families exist for either kernel.
- westturn 5083/250Each coordinate maps a two-point domain into \(\{0,1\}\), so its image is exactly \(\{0\}\), \(\{1\}\), or \(\{0,1\}\). Constant images attain \(\{\varnothing,\Omega\}\); surjective images attain \(2^\Omega\). No fourth image exists. Now close with three scandalously theatrical words.