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Last seen on: Eugene Sheffer – King Feature Syndicate Crossword – Jan 15 2022

Random information on the term “Foolproof”:

Foolproof is a 2003 Canadian heist film directed by William Phillips and starring Ryan Reynolds, David Suchet, Kristin Booth, Joris Jarsky, and James Allodi.

Kevin, Sam and Rob are playing a game, known as “Foolproof”, in which they create working plans to infiltrate and burgle various targets. They do not actually execute these heists, preferring to simply simulate them using necessary technical and physical abilities to carry out the tasks required for the heist. They adhere to some rules, such as using identical equipment and infrastructure as the target and using no firearms of any kind.

All is fine until a famous criminal, Leo Gillette, breaks into Sam’s apartment, steals the trio’s plans for a jewelry warehouse heist and accomplishes it. He then blackmails the group into designing and executing a plan to steal $20 million in bonds from a bank. Since he has evidence incriminating them in the plans, they accept.

Tension escalates within the group as Rob befriends Leo, while Kevin and Sam attempt to hinder his plans. They get the security codes to the safe and successfully switch the bonds. But the situation turns against them when Leo and Rob force Kevin into an elevator and crash it. When they go to retrieve the bonds, Sam shoots Rob, then Leo shoots Sam. With the three friends dead, Leo leaves with the bonds.

Foolproof on Wikipedia

Random information on the term “SURE”:

In econometrics, the seemingly unrelated regressions (SUR): 306 : 279 : 332  or seemingly unrelated regression equations (SURE): 2  model, proposed by Arnold Zellner in (1962), is a generalization of a linear regression model that consists of several regression equations, each having its own dependent variable and potentially different sets of exogenous explanatory variables. Each equation is a valid linear regression on its own and can be estimated separately, which is why the system is called seemingly unrelated,: 332  although some authors suggest that the term seemingly related would be more appropriate,: 306  since the error terms are assumed to be correlated across the equations.

The model can be estimated equation-by-equation using standard ordinary least squares (OLS). Such estimates are consistent, however generally not as efficient as the SUR method, which amounts to feasible generalized least squares with a specific form of the variance-covariance matrix. Two important cases when SUR is in fact equivalent to OLS are when the error terms are in fact uncorrelated between the equations (so that they are truly unrelated) and when each equation contains exactly the same set of regressors on the right-hand-side.

SURE on Wikipedia