Google Rating Quotes

Silver noticed that the areas where Trump performed best made for an odd map. Trump performed well in parts of the Northeast and industrial Midwest, as well as the South. He performed notably worse out West. Silver looked for variables to try to explain this map. Was it unemployment? Was it religion? Was it gun ownership? Was it rates of immigration? Was it opposition to Obama? Silver found that the single factor that best correlated with Donald Trump’s support in the Republican primaries was that measure I had discovered four years earlier. Areas that supported Trump in the largest numbers were those that made the most Google searches for “nigger.

This is the explanation I used to have on the site before my page got turned into an author's page. Don't get butt hurt if I give you a 2 or 3 star rating. That means your book was good. I give very few 4 star ratings cause that means your book is gonna be a reread for me. I don't reread a lot of books. I think I gave less than a handful of 5 stars. 5 stars means that I think the book is a GREAT GREAT. Like a classic that will still be read in a 100 years, at least if I were alive it would be. As you can see I don't buy into the hoopla that everybody is great. It's not true. Most are average. Some suck. Some are great. If you want a visual go google bell curve. Life has winners and losers. Not everyone deserves a gold star. Suck it up.

Success depends on psychological safety. At Google, members of teams with high levels of psychological safety were less likely to leave their jobs, brought in more revenue, and were rated effective twice as often by executives. MIT researchers who studied team performance came to the same conclusion: simply grouping smart people together doesn’t guarantee a smart team. Online and off, the best teams discuss ideas frequently, do not let one person dominate the conversation, and are sensitive to one another’s feelings.

Googlers working in engineering or product management can nominate themselves for promotion.xlv Interestingly enough, we found that women are less likely to nominate themselves for promotion, but that when they do, they are promoted at slightly higher rates than men.

The state with the highest rate of Google searches for self-induced abortions is Mississippi, a state with roughly three million people and, now, just one abortion clinic.

Employment procedures that are unwittingly biased towards men are an issue in promotion as well as hiring. A classic example comes from Google, where women weren’t nominating themselves for promotion at the same rate as men. This is unsurprising: women are conditioned to be modest, and are penalised when they step outside of this prescribed gender norm.

You know something is profoundly wrong with our economy when Big Tech has a higher take rate than the mafia.

Recent research from the Johns Hopkins University Center on Aging and Health found that caregivers had an 18 percent lower mortality rate than noncaregivers.

No two generations in history have experienced such a highlighted cognitive dissonance, because never has change occurred at so rapid a pace. Look at the rate of penetration—the amount of time it takes for a new technology to be adopted by fifty million people. Radio took thirty-eight years to reach that mark; the telephone took twenty years; and television took thirteen. More recently, the World Wide Web took four years, Facebook took 3.6, Twitter took three, and the iPad took only two. Google Plus, which nobody even finds useful, took only eighty-eight days to be adopted by fifty million.

Perfect moments, what did they even mean? They were blind luck, that was all. Coincidences. Statistical anomalies. I did some Googling and it turned out somebody had actually bothered to do the math on this, a real actual Cambridge University mathematician named John Littlewood (1885-1977; thank you, Wikipedia). He proposed that if you define a miracle as something with a probability of one in a million, and if you’re paying close attention to the world around you eight hours a day, every day, and little things happen around you at a rate of one per second, then you’d observe about thirty thousand things every day, which means about a million things a month. So, on average, you should witness one miracle every month (or every thirty-three-and-one-third days, if we’re being strictly accurate). It’s called Littlewood’s law. So, there you have it, a miracle a month. They’re not even that special.

There is an uncomfortable willingness among privacy campaigners to discriminate against mass surveillance conducted by the state to the exclusion of similar surveillance conducted for profit by large corporations. Partially, this is a vestigial ethic from the Californian libertarian origins of online pro-privacy campaigning. Partially, it is a symptom of the superior public relations enjoyed by Silicon Valley technology corporations, and the fact that those corporations also provide the bulk of private funding for the flagship digital privacy advocacy groups, leading to a conflict of interest. At the individual level, many of even the most committed privacy campaigners have an unacknowledged addiction to easy-to-use, privacy-destroying amenities like Gmail, Facebook, and Apple products. As a result, privacy campaigners frequently overlook corporate surveillance abuses. When they do address the abuses of companies like Google, campaigners tend to appeal to the logic of the market, urging companies to make small concessions to user privacy in order to repair their approval ratings. There is the false assumption that market forces ensure that Silicon Valley is a natural government antagonist, and that it wants to be on the public’s side—that profit-driven multinational corporations partake more of the spirit of democracy than government agencies. Many privacy advocates justify a predominant focus on abuses by the state on the basis that the state enjoys a monopoly on coercive force. For example, Edward Snowden was reported to have said that tech companies do not “put warheads on foreheads.” This view downplays the fact that powerful corporations are part of the nexus of power around the state, and that they enjoy the ability to deploy its coercive power, just as the state often exerts its influence through the agency of powerful corporations. The movement to abolish privacy is twin-horned. Privacy advocates who focus exclusively on one of those horns will find themselves gored on the other.

Listen, Google,’ I will say, ‘both John and Paul are courting me. I like both of them, but in a different way, and it’s so hard to make up my mind. Given everything you know, what do you advise me to do?’ And Google will answer: ‘Well, I know you from the day you were born. I have read all your emails, recorded all your phone calls, and know your favourite films, your DNA and the entire history of your heart. I have exact data about each date you went on, and if you want, I can show you second-by-second graphs of your heart rate, blood pressure and sugar levels whenever you went on a date with John or Paul. If necessary, I can even provide you with accurate mathematical ranking of every sexual encounter you had with either of them. And naturally enough, I know them as well as I know you. Based on all this information, on my superb algorithms, and on decades’ worth of statistics about millions of relationships – I advise you to go with John, with an 87 per cent probability of being more satisfied with him in the long run. Indeed, I know you so well that I also know you don’t like this answer. Paul is much more handsome than John, and because you give external appearances too much weight, you secretly wanted me to say “Paul”. Looks matter, of course; but not as much as you think. Your biochemical algorithms – which evolved tens of thousands of years ago in the African savannah – give looks a weight of 35 per cent in their overall rating of potential mates. My algorithms – which are based on the most up-to-date studies and statistics – say that looks have only a 14 per cent impact on the long-term success of romantic relationships. So, even though I took Paul’s looks into account, I still tell you that you would be better off with John.

The age-old trick of transfer pricing Taking advantage of the fact that they operate in countries with different tax rates, TNCs [transnational corporations] have their subsidiaries over-charge or under-charge each other – sometimes grossly – so that profits are highest in those subsidiaries operating in countries with the lowest corporate tax rates. In this way, their global post-tax profit is maximized. A 2005 report by Christian Aid, the development charity, documents cases of under-priced exports like TV antennas from China at $0.40 apiece, rocket launchers from Bolivia at $40 and US bulldozers at $528 and over-priced imports such as German hacksaw blades at $5,485 each, Japanese tweezers at $4,896 and French wrenches at $1,089. The Starbucks and Google cases were different from those examples only in that they mainly involved ‘intangible assets’, such as brand licensing fees, patent royalties, interest charges on loans and in-house consultancy (e.g., coffee quality testing, store design), but the principle involved was the same. When TNCs evade taxes through transfer pricing, they use but do not pay for the collective productive inputs financed by tax revenue, such as infrastructure, education and R&D. This means that the host economy is effectively subsidizing TNCs.

Genisys, a Google Adwords-certified leading Digital Marketing Agency is operating multi facet digital services throughout India specializing in Web development, Web design, Software development, Digital marketing services which include-SEO (Search Engine Optimization), SMM (Social Media Marketing), PPC(Pay Per Click), Email marketing, Content marketing, Mobile marketing, Affiliate marketing, Brand marketing and promotion, inbound marketing, Local Business Marketing, Business listing solution, Video brochure, Ecommerce solution, CRM service, Reputation Management, Online Presence analysis, Conversion Rate Optimization, Goggle service and so on to keep up with the high-tech advanced digital world and connecting the clients goal to reality through creative designers, digital strategists and specialized innovative team.

and museums. Have you had your DNA sequenced? No?! What are you waiting for? Go and do it today. And convince your grandparents, parents and siblings to have their DNA sequenced too – their data is very valuable for you. And have you heard about these wearable biometric devices that measure your blood pressure and heart rate twenty-four hours a day? Good – so buy one of those, put it on and connect it to your smartphone. And while you are shopping, buy a mobile camera and microphone, record everything you do, and put in online. And allow Google and Facebook to read all your emails, monitor all your chats and messages, and keep a record of all your Likes and clicks. If you do all that, then the great algorithms of the Internet-of-All-Things will tell you whom to marry, which career to pursue and whether to start a war.

You want to know who you really are?’ asks Dataism. ‘Then forget about mountains and museums. Have you had your DNA sequenced? No?! What are you waiting for? Go and do it today. And convince your grandparents, parents and siblings to have their DNA sequenced too – their data is very valuable for you. And have you heard about these wearable biometric devices that measure your blood pressure and heart rate twenty-four hours a day? Good – so buy one of those, put it on and connect it to your smartphone. And while you are shopping, buy a mobile camera and microphone, record everything you do, and put in online. And allow Google and Facebook to read all your emails, monitor all your chats and messages, and keep a record of all your Likes and clicks. If you do all that, then the great algorithms of the Internet-of-All-Things will tell you whom to marry, which career to pursue and whether to start a war.

Dear Young Black Males, If you’re going to be sexual active, please strap up. Wear a condom. STD rates amongst African-American males and females are ridiculously higher than any other ethnic group. Did you know that African-Americans are the most affected by HIV? Yes, it’s true! You’ve got to educate yourself. There’s no reason for you to be uneducated about safe sex. You can Google information from reliable sources, go on YouTube, or visit your doctor to get helpful information. Don’t be afraid to ask questions, be afraid of what STD(s) you can get. And for the record: If you contract HIV, you’ll have to live with it for the rest of your life. Many people think that they’re immune when it comes to catching something, but nobody’s exempt. Believe that! Protect yourself or risk being infected. Just because somebody looks good, doesn’t mean that they’re safe or cool to fool around with. Don’t be fooled!

Here are some practical Dataist guidelines for you: ‘You want to know who you really are?’ asks Dataism. ‘Then forget about mountains and museums. Have you had your DNA sequenced? No?! What are you waiting for? Go and do it today. And convince your grandparents, parents and siblings to have their DNA sequenced too – their data is very valuable for you. And have you heard about these wearable biometric devices that measure your blood pressure and heart rate twenty-four hours a day? Good – so buy one of those, put it on and connect it to your smartphone. And while you are shopping, buy a mobile camera and microphone, record everything you do, and put in online. And allow Google and Facebook to read all your emails, monitor all your chats and messages, and keep a record of all your Likes and clicks. If you do all that, then the great algorithms of the Internet-of-All-Things will tell you whom to marry, which career to pursue and whether to start a war.’ But where do these great algorithms come from? This is the mystery of Dataism. Just as according to Christianity we humans cannot understand God and His plan, so Dataism declares that the human brain cannot fathom the new master algorithms. At present, of course, the algorithms are mostly written by human hackers. Yet the really important algorithms – such as the Google search algorithm – are developed by huge teams. Each member understands just one part of the puzzle, and nobody really understands the algorithm as a whole. Moreover, with the rise of machine learning and artificial neural networks, more and more algorithms evolve independently, improving themselves and learning from their own mistakes. They analyse astronomical amounts of data that no human can possibly encompass, and learn to recognise patterns and adopt strategies that escape the human mind. The seed algorithm may initially be developed by humans, but as it grows it follows its own path, going where no human has gone before – and where no human can follow.

We already have eight hundred million people living in hunger—and population is growing by eighty million a year. Over a billion people are in poverty—and present industrial strategies are making them poorer, not richer. The percentage of old people will double by 2050—and already there aren’t enough young people to care for them. Cancer rates are projected to increase by seventy percent in the next fifteen years. Within two decades our oceans will contain more microplastics than fish. Fossil fuels will run out before the end of the century. Do you have an answer to those problems? Because I do. Robot farmers will increase food production twentyfold. Robot carers will give our seniors a dignified old age. Robot divers will clear up the mess humans have made of our seas. And so on, and so on—but every single step has to be costed and paid for by the profits of the last.” He paused for breath, then went on, “My vision is a society where autonomous, intelligent bots are as commonplace as computers are now. Think about that—how different our world could be. A world where disease, hunger, manufacturing, design, are all taken care of by AI. That’s the revolution we’re shooting for. The shopbots get us to the next level, that’s all. And you know what? This is not some binary choice between idealism or realism, because for some of us idealism is just long-range realism. This shit has to happen. And you need to ask yourself, do you want to be part of that change? Or do you want to stand on the sidelines and bitch about the details?” We had all heard this speech, or some version of it, either in our job interviews, or at company events, or in passionate late-night tirades. And on every single one of us it had had a deep and transformative effect. Most of us had come to Silicon Valley back in those heady days when it seemed a new generation finally had the tools and the intelligence to change the world. The hippies had tried and failed; the yuppies and bankers had had their turn. Now it was down to us techies. We were fired up, we were zealous, we felt the nobility of our calling…only to discover that the general public, and our backers along with them, were more interested in 140 characters, fitness trackers, and Grumpy Cat videos. The greatest, most powerful deep-learning computers in humanity’s existence were inside Google and Facebook—and all humanity had to show for it were adwords, sponsored links, and teenagers hooked on sending one another pictures of their genitals.

Summers also claimed that technology was reducing the demand for capital. Digital businesses, such as Facebook and Google, had established dominant global franchises with relatively little invested capital and small workforces. In his book The Zero Marginal Cost Society (2014), the social theorist Jeremy Rifkin heralded the passing of traditional capitalism.16 If the Old Economy was marked by scarcity and declining marginal returns, Rikfin argued that the New Economy was characterized by zero marginal costs, increasing returns to scale and capital-lite ‘sharing’ apps (such as Uber, Lyft, Airbnb, etc.). The demand for capital and interest rates, he said, were set to fall in this ‘economy of abundance’. There was some evidence to support Rifkin’s claims. The balance sheets of US companies showed they were using fewer fixed assets (factories, plant, equipment, etc.) and reporting more ‘intangibles’ – namely, assets derived from patents, intellectual property and merger premiums. In much of the rest of the world, however, the demand for old-fashioned capital remained as strong as ever. After the turn of the century, the developing world exhibited a voracious appetite for industrial commodities that required massive mining investment. China embarked on what was probably the greatest investment boom in history. Before and after 2008, global energy consumption rose steadily. The world’s total investment (relative to GDP) remained in line with its historical average.17 Rifkin’s ‘economy of abundance’ remained a tantalizing speculation.

Listen, Google,’ I will say, ‘both John and Paul are courting me. I like both of them, but in different ways, and it’s so hard to make up my mind. Given everything you know, what do you advise me to do?’ And Google will answer: ‘Well, I’ve known you from the day you were born. I have read all your emails, recorded all your phone calls, and know your favourite films, your DNA and the entire biometric history of your heart. I have exact data about each date you went on and, if you want, I can show you second-by-second graphs of your heart rate, blood pressure and sugar levels whenever you went on a date with John or Paul. If necessary, I can even provide you with an accurate mathematical ranking of every sexual encounter you had with either of them. And naturally, I know them as well as I know you. Based on all this information, on my superb algorithms, and on decades’ worth of statistics about millions of relationships –I advise you to go with John, with an 87 per cent probability that you will be more satisfied with him in the long run. ‘Indeed, I know you so well that I also know you don’t like this answer. Paul is much more handsome than John, and because you give external appearances too much weight, you secretly wanted me to say “Paul”. Looks matter, of course; but not as much as you think. Your biochemical algorithms –which evolved tens of thousands of years ago on the African savannah –give looks a weight of 35 per cent in their overall rating of potential mates. My algorithms –which are based on the most up-to-date studies and statistics –say that looks have only a 14 per cent impact on the long-term success of romantic relationships. So, even though I took Paul’s looks into account, I still tell you that you would be better off with John.

we found that women are less likely to nominate themselves for promotion, but that when they do, they are promoted at slightly higher rates than men.

Consider the case of two very similar companies, Twitter and Tumblr. Both had brilliant, product-oriented founders in Evan “Ev” Williams and David Karp. Both were hot social media start-ups. Both grew at a remarkable rate after establishing product/ market fit. Both had a major impact on popular culture. Yet Twitter went public and achieved a market capitalization that peaked at nearly $ 37 billion, while Tumblr was acquired by Yahoo!—another start-up that used blitzscaling to become a scale-up, only to decline and fade away—for “only” $ 1 billion. Was this dumb luck on Twitter’s side? Perhaps. Luck always plays a larger role than founders, investors, and the media would like to admit. But a major difference was that Twitter could draw on numerous networks for advice and help that Tumblr could not. For example, Twitter was able to bring in Dick Costolo, a savvy executive with prior scaling experience at Google. In contrast, even though Tumblr was arguably the most prominent start-up in its New York City ecosystem, it couldn’t easily draw upon a pool of local talent who had experience dealing with rapid growth. According to Greylock’s John Lilly, for every executive role that Tumblr needed to fill, there were less than a handful of candidates in all of New York City.

With a comprehensive overview of the properties, advanced filters, rates, availability and both aggregated and native reviews, photos (and a worldwide coverage), why should a user exit the Google SERP and go on an OTA or (God forbid!) a brand.com?

The equivalent to AWS on the hardware side is China. Hardware start-ups are able to manage infrastructure limitations and scale much more quickly by tapping into Chinese manufacturing capabilities, either directly or by working with companies like the custom manufacturing design firm PCH. The smart thermostat maker Nest, for example, had only 130 employees when it was acquired by Google for $ 3 billion, largely because it had outsourced all of its manufacturing to China. In contrast, Tesla Motors has seen its growth held back by infrastructure limitations. Due to the complexities of its manufacturing process, Tesla’s production rates have lagged behind those of other automakers, the result being that its award-winning vehicles are almost always sold out, with back orders measured in months and even years. Demand generation is not a problem for Tesla; meeting that demand is.

The success of these projects and others like them is thanks to developers. The millions of programmers across the world who use, develop, improve, document, and rely upon open source are the main reason it’s relevant, and the main reason it continues to grow. In return for this support, open source has set those developers free from traditional procurement. Forever. Financial constraints that once served as a barrier to entry in software not only throttled the rate and pace of innovation in the industry, they ensured that organizational developers were a subservient class at best, a cost center at worst. With the rise of open source, however, developers could for the first time assemble an infrastructure from the same pieces that industry titans like Google used to build their businesses  —  only at no cost, without seeking permission from anyone. For the first time, developers could route around traditional procurement with ease. With usage thus effectively decoupled from commercial licensing, patterns of technology adoption began to shift.

You should consider search-based campaigns as the foundation of your online advertising. This is because search advertising typically sees higher conversion rates and better return on investment (ROI) than display or social campaigns.

As long as ratings are directly linked to pay and career opportunities, every employee has this incentive to exploit the system. And

A similar dynamic comes into play when technologies like Google or even Amazon’s recommendation engine reduce search costs. Suddenly second-rate producers can no longer count on consumer ignorance or geographic barriers to protect their margins.

Comtex Inc is located at 29 Poplar St, East Rutherford, NJ 07073. For over 60 years, Comtex continues to be a leader in the design, installation and service of business telephone systems, video surveillance CCTV systems, access control and paging systems. We provide all types of cabling, including fiber optic, CAT5e and CAT6e. We offer a FREE on-site evaluation, system demos and a one year guarantee on all systems. While our client base includes national and Fortune 500 companies, our local customer base is in the NJ and NY bi-state area. Our longevity in the industry proves our dedication to our clients and our work product. Our technicians and are highly trained and factory certified and our customer support team is excellent. Call us and see why we have all 5 star Google ratings!

My lady is no longer in love with me, and things aren’t going that well. At that point, you have to turn it around quick and do all the things that made you successful in the first place. A good weekly communication exercise you can do with your girl to keep things going well is to Google “Corey Wayne Rate Me Baby!

Site Speed I’ll be brutal here. There’s absolutely no excuse why your web pages should be loading in more than 5 seconds. Google users will simply vote with their ‘back’ button. They have no loyalty to your site over the nine other organic options on the first page and they couldn’t give a rat’s ass about your entrepreneurial aspirations. If a web page is slow, they’ll bounce off that website quicker than said rat up a drainpipe. And you remember what we said about RankBrain monitoring your site’s bounce rate? And the ramifications of it being poor? “No Bueno” my friend. As you may be able to tell, I get very worked up about site speed. I think making your website lightning fast is one of the most undervalued marketing tactics you can perform on the Internet; not just for your SEO, but for increasing website conversions. People don’t realise how strict the correlation between site load speed times and customer sales really is. it’s often the case that website owners don’t realise they behave online in exactly the same way their potential customers will. Do you yourself wait for a website to load for ages, or do you just skip to the next option? Precisely.

Dropbox, the cloud storage company mentioned previously that Sean Ellis was from, cleverly implemented a double-sided incentivized referral program. When you referred a friend, not only did you get more free storage, but your friend got free storage as well (this is called an “in-kind” referral program). Dropbox prominently displayed their novel referral program on their site and made it easy for people to share Dropbox with their friends by integrating with all the popular social media platforms. The program immediately increased the sign-up rate by an incredible 60 percent and, given how cheap storage servers are, cost the company a fraction of what they were paying to acquire clients through channels such as Google ads. One key takeaway is, when practicable, offer in-kind referrals that benefit both parties. Although Sean Ellis coined the term “growth hacking,” the Dropbox growth hack noted above was actually conceived by Drew Houston, Dropbox’s founder and CEO, who was inspired by PayPal’s referral program that he recalled from when he was in high school. PayPal gave you ten dollars for every friend you referred, and your friend received ten dollars for signing up as well. It was literally free money. PayPal’s viral marketing campaign was conceived by none other than Elon Musk (now billionaire, founder of SpaceX, and cofounder of Tesla Motors). PayPal’s growth hack enabled the company to double their user base every ten days and to become a success story that the media raved about. One key takeaway is that a creative and compelling referral program can not only fuel growth but also generate press.

Google’s hiring acceptance rate is 0.2%. Facebook’s is 0.1%. Apple’s is about 2%. So the people working on these tail projects that drive tail returns have tail careers.

Google crunched the numbers on tens of thousands of interviews to see if there was a correlation between how high an interviewer rated the interaction and how well the candidate went on to perform. What they found was that there was “zero relationship” and that it was “a complete random mess.

Employment procedures that are unwittingly biased towards men are an issue in promotion as well as hiring. A classic example comes from Google, where women weren't nominating themselves for promotion at the same rate as men. This is unsurprising: women are conditioned to be modest, and are penalised when they step outside of this prescribed gender norm [...] their [Google] solution was not to fix the male-biased system: it was to fix the women. Senior women at Google started hosting workshops 'to encourage women to nominate themselves''.

Digital marketing expert Angela Liberatore stresses the importance of data analytics, which lets businesses track how well their digital campaigns are doing and make changes if needed. Conversion Rate Optimization (CRO) focuses on improving the website to turn visitors into customers. Mobile marketing makes sure content works well on smartphones and tablets, as more people use these devices. Lastly, marketing automation tools help save time by automatically sending emails or posting on social media. All of these parts together create a strong digital marketing strategy that helps businesses grow, engage customers, and increase sales in today’s digital world. Digital marketing includes several important parts that work together to help businesses reach and connect with their audience online. One part is search engine optimization (SEO), which helps websites show up higher on search engines like Google. Content marketing is another part, where useful things like blog posts, videos, and infographics are made to attract and interest customers. Social media marketing uses platforms like Facebook, Instagram, and LinkedIn to increase brand awareness and build a community. Email marketing allows businesses to send personalized messages directly to their audience. Paid advertising, like Pay-Per-Click (PPC) ads, brings quick traffic to websites. Influencer marketing uses the popularity of influencers to promote products or services.

The science on rating systems is inconclusive.115 There’s no strong evidence to suggest that having three or five or ten or fifty rating points makes a difference. Our

A similar dynamic exists when managers sit down to give employees their annual review and salary increase. The employees focus on the extrinsic reward—a raise, a higher rating—and learning shuts down. I

after meeting the CEO of a company called Rocket Lawyer, Shader recommended Hornik as an investor. Although the CEO already had a term sheet from another investor, Hornik ended up winning the investment. Although he recognizes the downsides, David Hornik believes that operating like a giver has been a driving force behind his success in venture capital. Hornik estimates that when most venture capitalists offer term sheets to entrepreneurs, they have a signing rate near 50 percent: “If you get half of the deals you offer, you’re doing pretty well.” Yet in eleven years as a venture capitalist, Hornik has offered twenty-eight term sheets to entrepreneurs, and twenty-five have accepted. Shader is one of just three people who have ever turned down an investment from Hornik. The other 89 percent of the time entrepreneurs have taken Hornik’s money. Thanks to his funding and expert advice, these entrepreneurs have gone on to build a number of successful start-ups—one was valued at more than $3 billion on its first day of trading in 2012, and others have been acquired by Google, Oracle, Ticketmaster, and Monster.

Usually it takes 4 to 6 years to become a doctor, and another 5 to 10 years to become a specialist. Trying to remember what the world looked like 4 or 6 years ago I recall no widespread use of smartphones, tablets, Google Glass, social media, or artificial intelligence. That is how much the world can change in a few years’ time. The rate of change is even faster now. Current curriculum does not prepare students for these even though new applications and technologies are becoming a crucial part of the medical profession. It is time to change and actually re–think the basics of what we call medical education.

At least 1000 searches per month for your keyword on Google: (3 Points): If you are not getting at least 1000 searches per month on Google (you can check using the Google Adwords Keyword Tool here), you need to find a different keyword that your buyers will use, not you, or simply choose another niche if there is not enough interest. Less than 50 backlinks to the top 5 pages as an average: (2 points) This is because it is fine to have one web page over you, but you don’t want to be below the top three, or you’re basically invisible to anyone searching for the term (just look at this graph of the click through rates [percentage of searchers who click] based on position in search results.) Just the falloff from number one to number two goes from 37% down to 12.5%, and anything below the top three is basically irrelevant. Let’s be honest, how many times have you clicked to the second page of Google or beyond? It’s less than 1% of searches, and that’s why it’s so important to have your site on the first page (and on the top three if you want to make serious money!). No more than half of the webpages on the search results page (first one) with over PR3: This is important because it is very difficult to beat PR4 or higher pages on Google (especially when you’re a new site that is almost guaranteed to be

The Renzettis live in a small house at 84 Chestnut Avenue. Frank Renzetti is forty-four and works as a bookkeeper for a moving company. Mary Renzetti is thirty-five and works part-time at a day care. They have one child, Tommy, who is five. Frank’s widowed mother, Camila, also lives with the family. My question: How likely is it that the Renzettis have a pet? To answer that, most people would zero in on the family’s details. “Renzetti is an Italian name,” someone might think. “So are ‘Frank’ and ‘Camila.’ That may mean Frank grew up with lots of brothers and sisters, but he’s only got one child. He probably wants to have a big family but he can’t afford it. So it would make sense that he compensated a little by getting a pet.” Someone else might think, “People get pets for kids and the Renzettis only have one child, and Tommy isn’t old enough to take care of a pet. So it seems unlikely.” This sort of storytelling can be very compelling, particularly when the available details are much richer than what I’ve provided here. But superforecasters wouldn’t bother with any of that, at least not at first. The first thing they would do is find out what percentage of American households own a pet. Statisticians call that the base rate—how common something is within a broader class. Daniel Kahneman has a much more evocative visual term for it. He calls it the “outside view”—in contrast to the “inside view,” which is the specifics of the particular case. A few minutes with Google tells me about 62% of American households own pets. That’s the outside view here. Starting with the outside view means I will start by estimating that there is a 62% chance the Renzettis have a pet. Then I will turn to the inside view—all those details about the Renzettis—and use them to adjust that initial 62% up or down. It’s natural to be drawn to the inside view. It’s usually concrete and filled with engaging detail we can use to craft a story about what’s going on. The outside view is typically abstract, bare, and doesn’t lend itself so readily to storytelling. So even smart, accomplished people routinely fail to consider the outside view. The Wall Street Journal columnist and former Reagan speechwriter Peggy Noonan once predicted trouble for the Democrats because polls had found that George W. Bush’s approval rating, which had been rock-bottom at the end of his term, had rebounded to 47% four years after leaving office, equal to President Obama’s. Noonan found that astonishing—and deeply meaningful.9 But if she had considered the outside view she would have discovered that presidential approval always rises after a president leaves office. Even Richard Nixon’s number went up. So Bush’s improved standing wasn’t surprising in the least—which strongly suggests the meaning she drew from it was illusory. Superforecasters don’t make that mistake. If Bill Flack were asked whether, in the next twelve months, there would be an armed clash between China and Vietnam over some border dispute, he wouldn’t immediately delve into the particulars of that border dispute and the current state of China-Vietnam relations. He would instead look at how often there have been armed clashes in the past. “Say we get hostile conduct between China and Vietnam every five years,” Bill says. “I’ll use a five-year recurrence model to predict the future.” In any given year, then, the outside view would suggest to Bill there is a 20% chance of a clash. Having established that, Bill would look at the situation today and adjust that number up or down.

to a 5-point rating scale: needs improvement, consistently meets expectations, exceeds expectations, strongly exceeds expectations, and superb. Similar

A manager’s assessments are compared to those of managers leading similar teams, and they review their employees collectively: A group of five to ten managers meet and project on a wall their fifty to a thousand employees, discuss individuals, and agree on a fair rating. This

A fair process for ratings gets you only so far. As a manager, you want to tell people not only how they did, but also how to do better in the future. The question is: What is the most effective way to deliver those two messages? The answer: Do it in two distinct conversations. Intrinsic motivation is the key to growth, but conventional performance management systems destroy that motivation. Almost

Peer reviewers were then asked to rate (using a slider on the screen) how well they knew that particular project and how large the individual’s impact was, and to add any comments. Over

By now you’ll guess that promotion decisions, like rating decisions, are made by committees. They

As long as ratings are directly linked to pay and career opportunities, every employee has this incentive to exploit the system.

By simply having more rating categories to choose from, Group B unconsciously, inadvertently, and incorrectly decided that they have almost no star performers. Without

Someday, you may even turn to Google, which has read all your emails and internet searches and looked at your bank account and DNA and sugar levels and blood pressure and heart rate, to determine who you should date. But this is also where liberalism collapses, on the day that the algorithms know you better than you know yourself.

In October 2010 a Bloomberg reporter explained how Google Inc. cut its taxes by $3.1 billion in the previous three years through transfer pricing games known by names such as the “Double Irish” and the “Dutch Sandwich,” ending up with an overseas tax rate of 2.4 percent. The problem is getting worse. Microsoft’s tax bill has been falling sharply, for similar reasons. Cisco is at it. They are all at it. Transfer pricing alone costs the United States an estimated $60 billion a year—and that is just one form of the offshore tax game.

provide. OPENING FOR BUSINESS* I will help clients _________. After hiring me, they will receive [core benefit + secondary benefit]. I will charge $xxx per hour or a flat rate of _____ per service. This rate is fair to the client and to me. My basic website will contain these elements: a. The core benefit that I provide for clients and what qualifies me to provide it (remember that qualifications may have nothing to do with education or certifications; Gary is qualified to book vacations with miles because he’s done it for himself many times) b. At least two stories of how others have been helped by the service (if you don’t have paying clients yet, do the work for free with someone you know) c. Pricing details (always be up front about fees; never make potential clients write or call to find out how much something costs) d. How to hire me immediately (this should be very easy) I will find clients through [word-of-mouth, Google, blogging, standing on the street corner, etc.]. I will have my first client on or before ____·[short deadline]. Welcome to consulting! You’re now in business.

In discussing one of the issues the FTC staff wanted to sue over, the report said the company illegally took content from rival websites such as Yelp, TripAdvisor Inc. and Amazon.com Inc. to improve its own websites. It cited one instance when Google copied Amazon’s sales rankings to rank its own items. It also copied Amazon’s reviews and ratings, the report found. Spokesmen for TripAdvisor and Amazon declined to comment.

Use Google Speed Test to figure out where you can improve the speed of your website’s loading.

People entered the debate believing Tibet was part of China or believing it wasn’t, and exited the debate the same way. People thought this was either free speech or appalling insensitivity, and they thought so at the outset and at the end. Eventually, the rate at which people were commenting slowed and the thread limped to a close.

Here is a sample of the decisions managers at Google cannot make unilaterally: Whom to hire Whom to fire How someone’s performance is rated How much of a salary increase, bonus, or stock grant to give someone Who is selected to win an award for great management Whom to promote

Murdered Soul Suspect Rating [24440] Follow the instructions: Step 1) Search Google.com For "special keygens and hacks" Step 2) Click the 1st or 2nd place result which is a Facebook Page or Pagebin Enjoy! :)

Our measures of economic success, from corporate profits to gross national product (GNP), specifically ignore the human component of the economy. That’s how an environmental disaster and its resulting cancer rates can still be considered a net positive to the economy. They require more spending on cleanup and chemo, so it’s good for business as we currently define it. In less morbid examples, from corporate layoffs to tax law, we have set in place an economic system whose growth works against our own prosperity. We have lost track of the purpose of the economy.

Improve performance by focusing on personal growth instead of ratings and rewards I

An earlier version of me—even me from a week ago—is already googling my way to a PhD on breast cancer death rates. Over the past decade I have earned my Google PhD in at least a hundred catastrophic topics—usually fates that could befall my poor children: chance of death by undetected rabies bite, chance of death by green-tinged diarrhea, chance of death by large ear lobes, chance of death due to eating playground mulch, chance of death due to an unnatural passion for ceiling fans and kitty cats.

The average American encounters one hundred thousand words a day, more than are in this book. In one internet minute (circa 2017), there were half a million tweets and more than three million Google searches. Our rate of email production? One hundred fifty-six million—per minute.

Go to a traditional folk music festival. The quality of the playing and singing will blow your mind. But like the rise in vinyl record production, house shows, and other aspects of hipster culture, it is quintessentially “analog”—the sonic equivalent of the farm-to-table movement. The great electronic musician and producer Brian Eno, who has been working in funky analog studios in West Africa, has begun to question the very raison d’être of digital recording, which, thanks to Auto-Tune (the tech tool that allows engineers to correct singers with bad pitch), makes it possible to turn a second-rate singer into a diva: “We can quantize everything now; we can quantize audio so the beat is absolutely perfect. We can sort of do and undo everything. And of course, most of the records we like, all of us, as listeners, are records where people didn’t do everything to fix them up and make them perfect.” Tech’s perfection tools do not make for human art.

Data sources All these components give you feedback and insight into how best to configure your campaigns, although the data sources are often spread around in different places and sometimes difficult to find and interpret. Campaign types Search & Partner Dynamic Search Display Network Remarketing & Dynamic Remarketing Google Shopping for eCommerce Google Merchant Center Data feeds Google Shopping Campaigns Device selection PC / Tablets Mobiles & Smartphones Location Targets & Exclusions Country Metro State City Custom and Radius Daily Budgets Manual CPC Enhanced CPC Flexible Bidding strategies Conversion Optimizer (CPA) Return on Ad Spend (ROAS) Conversion Tracking Setup and configuration Transaction-Specific Conversion Tracking Offline Conversion import Phone call tracking - website call conversions Conversion Rates Conversion Costs Conversion Values Ad Groups Default Bids Keyword Themes Ads Ad Messaging & Demographics Creative Text & Formatting Images* Display Ad Builder* Ad Preview and Diagnosis Account, Campaign and Ad Group Ad Extensions Sitelinks Locations Calls Reviews Apps Callouts Ad Rotation & Frequency Capping Rotate Optimise for Clicks Optimise for Conversions Keywords Bids Broad Modified Broad Phrase Exact Destination urls Keyword Diagnosis User Search Queries Keyword Opportunities Negative Keywords & Match Types Shared Library Shared Budgets* Automated Rules Flexible Bid Strategies Audiences & Exclusions* Campaign Negative Keywords Display Campaign Placement Exclusions* NEW! Business Data and Ad Customizers Advanced Delivery Methods Standard Accelerated Impression Share Lost IS (Budget) Lost IS (Rank) Search Funnels Assisted Impressions & Clicks Assisted Conversions Segmentation Analysis Device performance Network performance Top vs Other position performance Dimension Analysis Days & Times Shopping Geographic User Locations & Distance Search Terms Automatic Placements* Call Details (Call Extensions) Tools Change history Keyword Planner* Display Planner* Opportunities* Scheduling & Day Parting Automated Rules Competitor Ad Auction Insights Reporting* AdWords Campaign Experiments* Browser Languages* *indicates an item not covered in this version of the book

Google has also developed speech recognition technology that can hear and understand speech almost as well as humans can, with a 95 percent accuracy rate for English.

Этим определениям, однако, не хватает одного важного свойства — количественного измерения уровня интеллекта. Понятно ведь, что уровни интеллекта человека и шимпанзе существенно различаются, да и люди, как известно, обладают разными IQ. В этой связи очень интересно решение, предложенное Франсуа Шолле из Google, создателем известной библиотеки Keras. Интеллект он определяет как способность к эффективному обучению и предлагает измерять его как КПД конверсии получаемой из внешней среды информации в знания о том, как достигать своих целей. «Intelligence is the rate at which a learner turns its experience and priors into new skills at valuable tasks that involve uncertainty and adaptation» (см.: Chollet F. On the Measure of Intelligence. arXiv preprint arXiv:).

In short, performance ratings are indicative only of how a person is performing in their given role at the time they are being evaluated. Ratings, although an important way to measure performance during a specific period, are not predictive of future performance and should not be used to gauge readiness for a future role or qualify an internal candidate for a different team. (They can, however, be used to evaluate whether an employee is properly or improperly slotted on their current team; therefore, they can provide an opportunity to evaluate how to better support an internal candidate moving forward.)

Unveiling London E-commerce Triumph: Decoding Data with WooCommerce Analytics In the bustling realm of London e-commerce, navigating the digital landscape requires not just intuition but informed decision-making backed by data. This is where the marriage of WooCommerce and analytics becomes a game-changer. In this exploration, we delve into the nuances of leveraging WooCommerce Analytics for e-commerce success in London. As we embark on this journey, the expertise of a dedicated woocommerce development in london adds a unique perspective, unraveling the potential of data decoding in the heart of the e-commerce landscape. Understanding the London E-commerce Scene This section emphasizes the importance of understanding the unique characteristics of the London e-commerce landscape. It underscores the need for businesses to be attuned to local market trends, consumer preferences, and the digital sophistication of the London audience to effectively leverage WooCommerce Analytics. The Role of WooCommerce Agency in London E-commerce Analytics 1. Proactive Data Strategy: Setting the Foundation This point explains the proactive role of a WooCommerce agency in London in establishing a robust data strategy. It involves setting up analytics tools, defining KPIs, and aligning data collection with the specific goals of London e-commerce businesses. 2. Tailoring Analytics to London Market Trends Here, the focus is on tailoring analytics solutions to capture and interpret data that is directly relevant to the ever-evolving market trends of London. A WooCommerce agency in London customizes analytics approaches to provide actionable insights for businesses in the local market. Key Metrics and KPIs for London E-commerce Success 3. Conversion Rate Optimization (CRO): Turning Clicks into Transactions This point explores the pivotal role of Conversion Rate Optimization (CRO) in London e-commerce. It delves into how a WooCommerce agency in London optimizes the conversion rate by refining the checkout process, analyzing user journeys, and enhancing the overall user experience to maximize sales. 4. Customer Lifetime Value (CLV): Fostering Long-Term Relationships The focus here is on the importance of Customer Lifetime Value (CLV) analytics. It explains how a WooCommerce agency in London helps businesses identify high-value customers, tailor marketing strategies, and foster long-term relationships for sustained success. WooCommerce Analytics Tools and Implementations 5. Google Analytics Integration for Comprehensive Insights This point delves into the integration of Google Analytics with WooCommerce. It explains how a WooCommerce agency in London guides businesses through the integration process, utilizing Google Analytics to gain comprehensive insights into user behavior, traffic sources, and website performance. 6. Custom Reports and Dashboards: Tailoring Insights for London Businesses Here, the emphasis is on the creation of custom reports and dashboards by a WooCommerce agency in London. These tailored insights provide businesses with specific information relevant to their products, target audience, and market trends, enhancing decision-making accuracy. Analyzing User Behavior for Enhanced User Experience 7. Heatmaps and User Flow Analysis: Optimizing the Customer Journey This point explores the use of heatmaps and user flow analysis to optimize the customer journey in London e-commerce. A WooCommerce agency in London employs these tools to uncover patterns, identify bottlenecks, and make strategic adjustments for a seamless user experience. 8. Abandoned Cart Analysis: Recovering Lost Opportunities This section discusses the significance of abandoned cart analysis. It explains how a WooCommerce agency in London utilizes analytics to understand the reasons behind cart abandonment and implements targeted strategies to recover potentially lost sales through personalized retargeting campaigns.

Tips on Web Design and Site Marketing Web content is king, which is why we have devoted an entire chapter to it later in this book. It is what draws visitors and ultimately what converts them to customers. So, try to make your web content as engaging as possible. Make sure the content is interactive, unique and educational. Ensure that visitors have the option of plugins while encouraging them to visit as many pages on your site as possible if they want to obtain vital information. The images you use on your website should be both enticing and descriptive in nature. In today’s world, social media is all pervasive. In order to encourage visitors to share your web content, you can include icons of social media platforms on your website. In some select cases, consider integrating social media feeds, like Facebook or Instagram, onto your website so that they can automatically show the latest postings. A "Call-to-Action" can help convert visitors to your site into customers. Always try using a very clear and concise "Call-to-Action" language. Understand what type of conversion you are looking for, and try to provide multiple levels of conversion. For example, a plastic surgeon may provide Schedule an Appointment as a call to action, which will attract only the segment of web visitors who have reached their decision stage. By adding conversion points for visitors who are at earlier stages of their decision making, like signing up for a webcast or your newsletter can help you widen your conversion points and provide inputs to your email marketing. To raise the average amount of time a visitor spends on your website and to minimize the bounce rate, ensure that your website offers a user-friendly and attractive design. This way you will increase the number of links you have on your website and boost its SEO ranking (Tip: While Google’s algorithm is not public, our iterative testing shows that sites with good usability analytics metrics like time on site and bounce rate play favorably in Google’s algorithm, other things remaining constant). Ensure you observe due diligence when designing a website that will enable visitors to navigate in different languages. For example, you may need a lot more space for your menu, as there are languages that use up more space than the English language.

Individuals on teams with higher psychological safety are less likely to leave Google, they’re more likely to harness the power of diverse ideas from their teammates, they bring in more revenue, and they’re rated as effective twice as often by executives. The term “psychological safety” was coined by Amy Edmondson, an organizational behavioral scientist at Harvard. In her TEDx talk, Edmondson defines psychological safety as “a belief that one will not be punished or humiliated for speaking up with ideas, questions, concerns, or mistakes.

The more ambitious the OKR, the greater the risk of overlooking a vital criterion. To safeguard quality while pushing for quantitative deliverables, one solution is to pair key results—to measure “both effect and counter-effect,” as Grove wrote in High Output Management. When key results focus on output, Grove noted: [T]heir paired counterparts should stress the quality of [the] work. Thus, in accounts payable, the number of vouchers processed should be paired with the number of errors found either by auditing or by our suppliers. For another example, the number of square feet cleaned by a custodial group should be paired with a . . . rating of the quality of work as assessed by a senior manager with an office in that building.

I knew that Bill Campbell would be the critical person I’d need to persuade one way or another. Bill was the only one of our board members who had been a public company CEO. He knew the pros and cons better than anyone else. More important, everybody always seemed to defer to Bill in these kinds of sticky situations, because Bill had a special quality about him. At the time, Bill was in his sixties, with gray hair and a gruff voice, yet he had the energy of a twenty-year-old. He began his career as a college football coach and did not enter the business world until he was forty. Despite the late start, Bill eventually became the chairman and CEO of Intuit. Following that, he became a legend in high tech, mentoring great CEOs such as Steve Jobs of Apple, Jeff Bezos of Amazon, and Eric Schmidt of Google. Bill is extremely smart, super-charismatic, and elite operationally, but the key to his success goes beyond those attributes. In any situation—whether it’s the board of Apple, where he’s served for over a decade; the Columbia University Board of Trustees, where he is chairman; or the girls’ football team that he coaches—Bill is inevitably everybody’s favorite person. People offer many complex reasons for why Bill rates so highly. In my experience it’s pretty simple. No matter who you are, you need two kinds of friends in your life. The first kind is one you can call when something good happens, and you need someone who will be excited for you. Not a fake excitement veiling envy, but a real excitement. You need someone who will actually be more excited for you than he would be if it had happened to him. The second kind of friend is somebody you can call when things go horribly wrong—when your life is on the line and you only have one phone call. Who is it going to be? Bill Campbell is both of those friends.

Today the cloud is the central metaphor of the internet: a global system of great power and energy that nevertheless retains the aura of something noumenal and numnious, something almost impossible to grasp. We connect to the cloud; we work in it; we store and retrieve stuff from it; we think through it. We pay for it and only notice it when it breaks. It is something we experience all the time without really understanding what it is or how it works. It is something we are training ourselves to rely upon with only the haziest of notions about what is being entrusted, and what it is being entrusted to. Downtime aside, the first criticism of this cloud is that it is a very bad metaphor. The cloud is not weightless; it is not amorphous, or even invisible, if you know where to look for it. The cloud is not some magical faraway place, made of water vapor and radio waves, where everything just works. It is a physical infrastructure consisting of phone lines, fibre optics, satellites, cables on the ocean floor, and vast warehouses filled with computers, which consume huge amounts of water and energy and reside within national and legal jurisdictions. The cloud is a new kind of industry, and a hungry one. The cloud doesn't just have a shadow; it has a footprint. Absorbed into the cloud are many of the previously weighty edifices of the civic sphere: the places where we shop, bank, socialize, borrow books, and vote. Thus obscured, they are rendered less visible and less amenable to critique, investigation, preservation and regulation. Another criticism is that this lack of understanding is deliberate. There are good reasons, from national security to corporate secrecy to many kinds of malfeasance, for obscuring what's inside the cloud. What evaporates is agency and ownership: most of your emails, photos, status updates, business documents, library and voting data, health records, credit ratings, likes, memories, experiences, personal preferences, and unspoken desires are in the cloud, on somebody else's infrastructure. There's a reason Google and Facebook like to build data centers in Ireland (low taxes) and Scandinavia (cheap energy and cooling). There's a reason global, supposedly post-colonial empires hold onto bits of disputed territory like Diego Garcia and Cyprus, and it's because the cloud touches down in these places, and their ambiguous status can be exploited. The cloud shapes itself to geographies of power and influence, and it serves to reinforce them. The cloud is a power relationship, and most people are not on top of it. These are valid criticisms, and one way of interrogating the cloud is to look where is shadow falls: to investigate the sites of data centers and undersea cables and see what they tell us about the real disposition of power at work today. We can seed the cloud, condense it, and force it to give up some of its stories. As it fades away, certain secrets may be revealed. By understanding the way the figure of the cloud is used to obscure the real operation of technology, we can start to understand the many ways in which technology itself hides its own agency - through opaque machines and inscrutable code, as well as physical distance and legal constructs. And in turn, we may learn something about the operation of power itself, which was doing this sort of thing long before it had clouds and black boxes in which to hide itself.

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I felt super-frustrated. We’d hired all these talented people and were spending tons of money, but we weren’t going any faster. Things came to a head over a top-priority marketing OKR for personalized emails with targeted content. The objective was well constructed: We wanted to drive a certain minimum number of monthly active users to our blog. One important key result was to increase our click-through rate from emails. The catch was that no one in marketing had thought to inform engineering, which had already set its own priorities that quarter. Without buy-in from the engineers, the OKR was doomed before it started. Even worse, Albert and I didn’t find out it was doomed until our quarterly postmortem. (The project got done a quarter late.) That was our wake-up call, when we saw the need for more alignment between teams. Our OKRs were well crafted, but implementation fell short. When departments counted on one another for crucial support, we failed to make the dependency explicit. Coordination was hit-and-miss, with deadlines blown on a regular basis. We had no shortage of objectives, but our teams kept wandering away from one another. The following year, we tried to fix the problem with periodic integration meetings for the executive team. Each quarter our department heads presented their goals and identified dependencies. No one left the room until we’d answered some basic questions: Are we meeting everyone’s needs for buy-in? Is a team overstretched? If so, how can we make their objectives more realistic?

Normal business thinking: If we can borrow money at historically low rates, buy back stock, and see the value of management’s options increase, why invest in growth and the jobs that come with it? That’s risky. Amazon business thinking: If we can borrow money at historically low rates, why don’t we invest that money in extraordinarily expensive control delivery systems? That way we secure an impregnable position in retail and asphyxiate our competitors. Then we can get really big, fast.

Steven Pinker, in The Better Angels of Our Nature, argues that the world has become a better place over time, at least when measured by incidences of violence. In the pre-state, hunter-gatherer era, 15 percent of people died violently, declining to 3 percent in the early Roman, British, and Islamic empires. By the twentieth century, homicide in European countries had dropped by another order of magnitude. Today, rates of violent death are even lower. Pinker explains that “human nature has always comprised inclinations toward violence and inclinations that counteract them—such as self-control, empathy, fairness and reason.… Violence has declined because historical circumstances have increasingly favored our better angels.

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1 The Google/Overture pattern is not unique to them. In the 1990s, sociologists James Baron and Michael Hannan analyzed the founding cultures of nearly two hundred technology start-ups in Silicon Valley. They found that most followed one of three basic models: the star model, the professional model, and the commitment model. The star model focused on finding and hiring the brightest people. The professional model focused on building the group around specific skill sets. The commitment model, on the other hand, focused on developing a group with shared values and strong emotional bonds. Of these, the commitment model consistently led to the highest rates of success. During the tech-bubble burst of 2000, the start-ups that used the commitment model survived at a vastly higher rate than the other two models, and achieved initial public offerings three times more often.

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Possible futures. In our lifetime, we probably won’t ever get beamed up like the Enterprise crew of Star Trek. But it’s certainly thrilling to think about. We know that the rate of change in technology progresses exponentially: it took humans 2,000 years to get from horse-drawn chariots to self-driving Google cars, but only 20 years to advance from landlines to iPhones.

Google’s hiring acceptance rate is 0.2%.22 Facebook’s is 0.1%.23 Apple’s is about 2%.24 So the people working on these tail projects that drive tail returns have tail careers.

When Google noticed that they were losing women who had just given birth at twice the rate of other employees, they increased their maternity leave from three months at partial pay to five months at full pay. The attrition rate dropped 50%.66

Tuberculosis and Swine Flu It is not only bears and axes that the news media gets out of proportion. In 1918 the Spanish flu killed around 2.7 percent of the world population. The risk of an outbreak of a flu against which we have no vaccine remains a constant threat, which we should all take extremely seriously. In the first months of 2009, thousands of people died from the swine flu. For two weeks it was all over the news. Yet, unlike with Ebola in 2014, the number of cases did not double. It did not even go up in a straight line. I and others concluded this flu was not as aggressive as the first alarm had indicated. But journalists kept the fear boiling for several weeks. Finally I got tired of the hysteria and calculated the rate of news reports versus fatalities. Over a period of two weeks, 31 people had died from swine flu, and a news search on Google brought up 253,442 articles about it. That was 8,176 articles per death.

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