How to Be a successful person

Gary Hall Jr

Winner of 5 Olympic Gold Medals

    “In 1997 I was found to have developed diabetes(糖尿病) . Believing my career was over, I felt extremely low. Then one of the specialists said there was no reason why I should stop training and competing. That was it—the encouragement I needed. I could still be a winner if I believe in myself. I am not saying that it isn't difficult sometimes. But I wanted to prove to myself that I wasn't finished yet. Nothing is to stand in my way.”

Karen Pickering

Swimming World Champion

     “I swim 4 hours a day, 6 days a week. I manage that sort of workload by putting it on top of my diary. This is the key to success—you can't follow a career in any field without being well-organized. List what you believe you can achieve. Trust yourself, write down your goals for the day, however small they are, and you'll be a step closer to achieving them.”

Kirsten Best

Poet & Writer

     “When things are getting hard, a voice inside my head tells me that I can't achieve something. Then, there are other distractions, such as family or hobbies. The key is to concentrate. When I feel tense, it helps a lot to repeat words such as ‘calm', ‘peace' or ‘focus', either out loud or silently in my mind. It makes me feel more in control and increases my confidence. This is a habit that can become second nature quite easily and is a powerful psychological tool.”

    Grown­ups are often surprised by how well they remember something they learned as children but have never practiced ever since. A man who has not had a chance to go swimming for years can still swim as well as ever when he gets back in the water. He can get on a bicycle after many years and still ride away. He can play catch and hit a ball as well as his son. A mother who has not thought about the words for years can teach her daughter the poem that begins “Twinkle, twinkle, little star” or remember the story of Cinderella or Goldilocks and the Three Bears.

    One explanation is the law of overlearning, which can be stated as follows: Once we have learned something, additional learning trials(尝试)increase the length of time we will remember it.

    In childhood we usually continue to practice such skills as swimming, bicycle riding, and playing baseball long after we have learned them. We continue to listen to and remind ourselves of words such as “Twinkle, twinkle, little star” and childhood tales such as Cinderella and Goldilocks. We not only learn but overlearn.

    The multiplication tables(乘法口诀表)are an exception to the general rule that we forget rather quickly the things that we learn in school, because they are another of the things we overlearn in childhood.

    The law of overlearning explains why cramming(突击学习)for an examination, though it may result in a passing grade, is not a satisfactory way to learn a college course. By cramming, a student may learn the subject well enough to get by on the examination, but he is likely soon to forget almost everything he learned. A little overlearning, on the other hand, is really necessary for one's future development.

    Will it matter if you don't take your breakfast? Recently a test was given in the United States. Those tested included people of different ages, from 12 to 83. During the experiment, these people were given all kinds of breakfasts, and sometimes they got no breakfast at all. Special tests were set up to see how well their bodies worked when they had eaten a certain kind of breakfast. The results show that if a person eats a proper breakfast, he or she will work with better effect than if he or she has no breakfast. This fact appears to be especially true if a person works with his brains. If a student eats fruit, eggs, bread and milk before going to school, he will learn more quickly and listen with more attention to class.

    Opposite to what many people believe, if you don't eat breakfast, you will not lose weight. This is because people become so hungry at noon that they eat too much for lunch, and end up gaining weight instead of losing. You will probably lose more weight if you reduce your other meals.

    Alvin Irby, a former kindergarten and first-grade teacher, was at a barbershop when he saw one of his former students sitting in the shop with a bored look on his face. That's when Irby realized that by pairing barbershops and books, he might be able to inspire young black boys to read.

    Four years ago, he launched Barbershop Books as a way to not just get books into the hands of young black boys, but to also create community reading spaces in a place where kids go frequently. Since its inception in 2013, the program has created kid-friendly reading spaces in 50 barbershops in 12 states throughout the United States.

    Irby isn't the first person to see the connection between barbers and books and boys. Hair stylist Courtney Holmes, launched a program a few years ago offering free haircuts to kids as long as they read to him while he cuts their hair.

    That's the kind of environment that Irby wants to promote with his program. The reading spaces created by Barbershop Books help to spark an interest in books by showing kids that reading is about more than just spelling and vocabulary skills, it's about making reading a low-stress activity that can help them relax, laugh and have fun.

    “Our belief is that if we can create positive reading experiences early and often for young black boys, then they will choose to read for fun because they will identify as a reader,” Irby noted, adding, “This is really what Barbershop Books is about, getting young black boys to say three words: I'm a reader.”

Irby's idea is catching on, and it will continue to spread thanks in part to the National Book Foundation. Barbershop Books recently won the organization's 2017 Innovations in Reading prize, which is given to Programs that use reading to make a social impact.

    Edward Hibberd Johnson was an American inventor. He lived in New York City in the 1800s. In 1882, Johnson had an idea. It would change the look of Christmas forever.

    Johnson worked as a boss at a technology company. In 1871, he hired a young man to work for him. The man's name was Thomas Edison. Edison was a great worker. He came up with many new ideas. Later, Edison left to start his own company. Johnson followed him. Johnson started turning Edison's ideas into money. In 1880, Edison invented the light bulb. No one knew how much it was worth. At the time, most homes did not have the electricity to power it. However, Johnson helped start a company to sell the bulbs.

    Before long, Mr. Johnson had a bright idea. Christmas trees were very popular. They were so beautiful because of their candles. Flickering (闪烁的) flames were perfect for Christmas. But they were also dangerous. They could easily start a fire.

    Mr. Johnson thought of a way to fix this. He set up a Christmas tree by one of his windows. Then he took 80 colored light bulbs and hung them around it. The lights were red, white and blue. People on the street stopped to look. They admired the shining Christmas tree. It was so popular that Johnson made it a tradition. Each year he added more lights. In 1884, there were 120 light bulbs on his tree. The lights were not cheap. In 1900, a string of 16 bulbs cost $12. That was a lot of money back then, because people made less. In today's money, that is about $350. But over time, they started to cost less. By the 1930s, colored light bulbs were everywhere.

    Today millions of light sets are sold in America each year. They light 80 million homes. Some of them are now used for other holidays too. They are used on Halloween and Valentine's Day. But it all started with Johnson's Christmas tree.

    Microsoft announced this week that its facial-recognition system is now more accurate in identifying people of color, touting (吹嘘)its progress at tackling one of the technology's biggest biases (偏见).

    But critics, citing Microsoft's work with Immigration and Customs Enforcement, quickly seized on how that improved technology might be used. The agency contracts with Microsoft for cloud-computing tools that the tech giant says is largely limited to office work but can also include face recognition.

    Columbia University professor Alondra Nelson tweeted, "We must stop confusing 'inclusion' in more 'diverse' surveillance (监管)systems with justice and equality."

    Facial-recognition systems more often misidentify people of color because of a long-running data problem: The massive sets of facial images they train on skew heavily toward white men. A Massachusetts Institute of Technology study this year of the face-recognition systems designed by Microsoft, IBM and the China-based Face++ found that facial-recognition systems consistently giving the wrong gender for famous women of color including Oprah Winfrey, Serena Williams, Michelle Obama and Shirley Chisholm, the first black female member of Congress.

    The companies have responded in recent months by pouring many more photos into the mix, hoping to train the systems to better tell the differences among more than just white faces. IBM said Wednesday it used 1 million facial images, taken from the photo-sharing site Flickr, to build the "world's largest facial data-set" which it will release publicly for other companies to use.

    IBM and Microsoft say that allowed its systems to recognize gender and skin tone with much more precision. Microsoft said its improved system reduced the error rates for darker-skinned men and women by "up to 20 times," and reduced error rates for all women by nine times.

    Those improvements were heralded(宣布)by some for taking aim at the prejudices in a rapidly spreading technology, including potentially reducing the kinds of false positives that could lead police officers misidentify a criminal suspect.

    But others suggested that the technology's increasing accuracy could also make it more marketable. The system should be accurate, "but that's just the beginning, not the end, of their ethical obligation," said David Robinson, managing director of the think tank Upturn.

    At the center of that debate is Microsoft, whose multimillion-dollar contracts with ICE came under fire amid the agency's separation of migrant parents and children at the Mexican border.

    In an open letter to Microsoft chief executive Satya Nadella urging the company to cancel that contract, Microsoft workers pointed to a company blog post in January that said Azure Government would help ICE "accelerate recognition and identification." "We believe that Microsoft must take an ethical stand, and put children and families above profits," the letter said.

    A Microsoft spokesman, pointing to a statement last week from Nadella, said the company's "current cloud engagement" with ICE supports relatively anodyne(温和的)office work such as "mail, calendar, massaging and document management workloads." The company said in a statement that its facial-recognition improvements are "part of our going work to address the industry-wide and societal issues on bias."

    Criticism of face recognition will probably expand as the technology finds its way into more arenas, including airports, stores and schools. The Orlando police department said this week that it would not renew its use of Amazon. com's Rekognition system.

    Companies "have to acknowledge their moral involvement in the downstream use of their technology,"

    Robinson said. "The impulse is that they're going to put a product out there and wash their hands of the consequences. That's unacceptable."