Between the Devil and the Deep Blue Sea by April Genevieve TucholkeYou stop fearing the devil when you’re holding his hand…
Nothing much exciting rolls through Violet White’s sleepy, seaside town… until River West comes along. River rents the guest house behind Violet’s crumbling estate, and as eerie, grim things start to happen, Violet begins to wonder about the boy living in her backyard.
Is River just a crooked-smiling liar with pretty eyes and a mysterious past? Or could he be something more?
Violet’s grandmother always warned her about the Devil, but she never said he could be a dark-haired boy who takes naps in the sun, who likes coffee, who kisses you in a cemetery... who makes you want to kiss back.
Violet’s already so knee-deep in love, she can’t see straight. And that’s just how River likes it.
Blending faded decadence and the thrilling dread of gothic horror, April Genevieve Tucholke weaves a dreamy, twisting contemporary romance, as gorgeously told as it is terrifying—a debut to watch.
XYLØ - Between The Devil And The Deep Blue Sea
The meaning and origin of the expression: Between the Devil and the deep blue sea
No one knows for sure how this expression originated. It is widely believed that the phrase is of nautical origin and that the 'devil' refers to the seam on a ship's hull. The evidence for that is lacking and it is more likely that the 'devil' is a reference to Satan. The sea turned blue much later and the phrase became well-known via the title of a popular song Between the Devil and the Deep Blue Sea, written by Ted Koehler and Harold Arlen, and recorded by Cab Calloway in What's the source of the original phrase? Well, we would really like to know. In her book 'When a loose cannon flogs a dead horse there's the devil to pay' Olivia Isil attributes a nautical origin to the phrase, albeit without providing any evidence for that.
What's the meaning of the phrase 'Between the Devil and the deep blue sea'?. In difficulty, faced with two dangerous alternatives.
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Please take this quick survey to tell us about what happens after you publish a paper. Discussions of model selection in the psychological literature typically frame the issues as a question of statistical inference, with the goal being to determine which model makes the best predictions about data. Within this setting, advocates of leave-one-out cross-validation and Bayes factors disagree on precisely which prediction problem model selection questions should aim to answer. In this comment, I discuss some of these issues from a scientific perspective. What goal does model selection serve when all models are known to be systematically wrong?