Hash Single Quotes

Single people eat sadly--they cobble together things left from shopping trips based on dreams of all the meals they'd fix for themselves, all the ways they'd treat themselves to something grand; those dreams, for me, died by the next day and, despite my best hopes, I wanted only canned hash and apples.

The single biggest structural problem facing leaders of meetings is the tendency to throw every type of issue that needs to be discussed into the same meeting, like a bad stew with too many random ingredients. Desperate to minimize wasted time, leaders decide that they will have one big staff meeting, either once a week or every other week. They sit down in a room for two or three or four hours and hash everything out—sales strategies, expense policies, potential mergers, employee recognition programs, budgets, and branding—so that everyone can get back to their “real work.

SHORT NOTE ABOUT SHA-1 A lot of people become concerned at some point that they will, by random happenstance, have two objects in their repository that hash to the same SHA-1 value. What then? If you do happen to commit an object that hashes to the same SHA-1 value as a previous object in your repository, Git will see the previous object already in your Git database and assume it was already written. If you try to check out that object again at some point, you’ll always get the data of the first object. However, you should be aware of how ridiculously unlikely this scenario is. The SHA-1 digest is 20 bytes or 160 bits. The number of randomly hashed objects needed to ensure a 50% probability of a single collision is about 280 (the formula for determining collision probability is p = (n(n-1)/2) * (1/2^160)). 280 is 1.2 x 10^24 or 1 million billion billion. That’s 1,200 times the number of grains of sand on the earth. Here’s an example to give you an idea of what it would take to get a SHA-1 collision. If all 6.5 billion humans on Earth were programming, and every second, each one was producing code that was the equivalent of the entire Linux kernel history (3.6 million Git objects) and pushing it into one enormous Git repository, it would take roughly 2 years until that repository contained enough objects to have a 50% probability of a single SHA-1 object collision. A higher probability exists that every member of your programming team will be attacked and killed by wolves in unrelated incidents on the same night.

hash rate is important, but so too is its decentralization. After all, if the hash rate is extremely high but 75 percent of it is controlled by a single entity, then that is not a decentralized system. It is actually a highly centralized system and therefore vulnerable to the whims of that one entity.

In a little more detail, why is the Bitcoin blockchain so resistant to the rewriting of history? To falsify the “who” of a single transaction you’d need to fake a digital signature, to falsify the “what” you’d need to break a hash function, to falsify the “when” you’d need to corrupt a timestamp, and you’d need to do this while somehow not breaking all the other records cryptographically connected to that transaction through the mechanism of composed block headers. Some call the Bitcoin blockchain a timechain, because unlike many other blockchains, its proof-of-work mechanism and difficulty adjustment ensure a statistically regular time interval between blocks, crucial to its function as a digital history.

industrialized mining operations might one day afford a nefarious actor the power to create a fork intentionally by seizing majority control of the total hashing power. That’s come to be known as a 51 percent attack. Nakamoto’s original paper stated that the bitcoin mining network could be guaranteed to treat everyone’s transactions fairly and honestly so long as no single miner or mining group owned more than 50 percent of the hashing power. If malevolent actors secretly created an alternate chain of fraudulent transactions to spend bitcoins they didn’t own, their efforts to have those transactions confirmed would fail if they didn’t have majority hashing power.

Place the frozen hash browns in the bowl of a food processor. Use the steel blade, and process with an on-and-off motion until the potatoes are finely chopped. (If you don’t have a food processor, you don’t have to go out and buy one to make these. Just lay your frozen potatoes out on a cutting board in single layers, and chop them up into much smaller pieces with a chef’s knife.) Leave the potatoes in the food processor (or on the counter) while you… Crack the eggs into a large bowl and beat them with a fork or a wire whip until they’re fluffy. Stir in the grated onion (or the onion powder if you decided to use that), and the salt and pepper. Mix in the cracker crumbs. Let the mixture sit on the counter for at least two minutes to give the crumbs time to swell as they soak up the liquid. If you used a food processor, dump the potatoes on a cutting board. (If you used a chef’s knife, they’re already there.) Blot them with a paper towel to get rid of any moisture. Then add them to the mixture in the bowl, and stir them in. If the mixture in your bowl looks watery, add another Tablespoon of cracker crumbs to thicken it. Wait for the cracker crumbs to swell up, and then stir again. If it’s still too watery, add another Tablespoon of cracker crumbs. The resulting mixture should be thick, like cottage cheese. Place the ¼ stick of butter and the 1/8 cup of olive oil in a large nonstick frying pan. (This may be overkill, but I spray the frying pan with Pam or another nonstick cooking spray before I add the butter and olive oil.) Turn the burner on medium-high heat. Once the oil and butter are hot, use a quarter-cup measure to drop in the batter. Don’t try to get all of the batter out of the measuring cup. Your goal is to make 1/8 cup pancakes, and if you don’t scrape out the batter, that’s approximately what you’ll get. Keep the pancakes about two inches apart, and cover the bottom of the frying pan with them. Flatten them very slightly with a spatula so the potatoes spread out and don’t hump up in the middle. Fry the pancakes until they’re lightly browned on the bottom. That should take 2 to 3 minutes. You can tell by lifting one up with a spatula and peeking, but if it’s not brown and you have to do it again, choose another pancake to lift. Once the bottoms of the pancakes are brown, flip them over with your spatula and fry them another 2 to 3 minutes, or until the other side is brown. Lift out the pancakes and drain them on paper towels. Serve hot off the stove if you can, or keep the pancakes warm by placing them in a pan in a warm oven (the lowest temperature that your oven will go) in single layers between sheets of aluminum foil. Serve with your choice of sour cream, applesauce, cherry sauce, blueberry sauce, or apricot sauce. Yield: Approximately 24 small pancakes, depending on pancake size.

Place the frozen hash browns in the bowl of a food processor. Use the steel blade, and process with an on-and-off motion until the potatoes are finely chopped. (If you don’t have a food processor, you don’t have to go out and buy one to make these. Just lay your frozen potatoes out on a cutting board in single layers, and chop them up into much smaller pieces with a chef’s knife.) Leave the potatoes in the food processor (or on the counter) while you… Crack the eggs into a large bowl and beat them with a fork or a wire whip until they’re fluffy.