"The second biggest finding in happiness research, after the strong influence of genes upon a person's average level of happiness, is that most environmental and demographic factors influence happiness very little. Try to imagine yourself yourself changing places with either Bob or Mary. Bob is thirty-five years old, single, white, attractive, athletic. He earns $100,000 a year and lives in Sunny California He is highly intellectual, and he spends his free time reading and going to museums. Mary and her husband live in Snowy buffalo, New york, where they earn a combined income of $40,000. Mary is sixty-five years old, black overweight, and plain in appearance. She is highly sociable, and spends her free time mostly in activities related to her church. She is on dialysis for kidney problems. Bob seems to have it all and few readers of this book would prefer Mary's life to his. Yet if you had to bet on it, you should bet that Mary is happier than Bob. What Mary has that Bob lacks are strong connections. A good marriage is one of the life-factors most strongly and consistently associated with happiness. Part of this apparent benefit comes from "reverse correlation": Happiness causes marriage. Happy people marry sooner and stay married longer than people with a lower happiness set-point, both because they are more appealing as dating partners and because they are easier to life with as spouses."