Rusty Sealy

“God has cordials, but they are to comfort them that are cast down (2 Cor 7:6); and such are the broken-hearted; as for them that are whole, they need not the physician (Mark 2:17). They are the broken in spirit that stand in need of cordials; physicians are men of no esteem but with them that feel their sickness; and this is one reason why God is so little accounted of in the world, even because they have not been made sick by the wounding stroke of God. But now when a man is wounded, has his bones broken, or is made sick, and laid at the grave’s mouth, who is of that esteem with him as is an able physician? What is so much desired as are the cordials, comforts, and suitable supplies of the skilful physician in those matters. And thus it is with the broken-hearted; he needs, and God has prepared for him plenty of the comforts and cordials of heaven, to succour and relieve his sinking soul.”
― John Bunyan, The Acceptable Sacrifice: The Excellency of a Broken Heart

“I reached and grabbed ahold of the garden rake that was leaned up against the tree, when suddenly I felt my heart begin to race and I began to feel dizzy as my visual field became black. That is the last thing I recall before awakening to find myself lying on the ground in the front yard, with the handle of the rake resting on my chest.”
― DEAN MAFAKO, M.D., Burned Out

“The people asleep in those houses, I thought, tried to live like the mice in their own kitchens; to make no noise, to leave no trace, to slip over the surface of things in the dark.”
― Willa Cather, My Ántonia

“What does regression do? It finds a prediction based on the average of what has occurred in the past. For instance, if all you have to go on to determine whether it is going to rain tomorrow is what happened each day last week, your best guess might be an average. If it rained on two of the last seven days, you might predict that the probability of rain tomorrow is around two in seven, or 29 percent. Much of what we know about prediction has been making our calculations of the average better by building models that can take in more data about the context.”
― Ajay Agrawal, Prediction Machines: The Simple Economics of Artificial Intelligence