Search Queries In Quotes

Every country has its cocktail-party question. A simple one-sentence query, the answer to which unlocks a motherlode of information about the person you just met.... In Switzerland it is, Where are you from? That is all you need to know about someone.

Long ago we had passed the stage of asking what was the meaning of life, a naïve query which understands life as the attaining of some aim through the active creation of something of value.

Sometimes I would worry about my internet habits and force myself awy from the computer, to read a magazine or book. Contemporary literature offered no respite: I would find the prose cluttered with data points, tenuous historical connections, detail so finely tuned it could have only been extracted from a feverish night of search-engine queries. Aphorisms were in; authors were wired. I would pick up books that had been heavily documented on social media, only to find that the books themselves had a curatorial affect: beautiful descriptions of little substance, arranged in elegant vignettes—gestural text, the equivalent of a rumpled linen bedsheet or a bunch of dahlias placed just so. Oh, I would think, turning the page. This author is addicted to the internet, too.

Mr. O'Donnell was at the library counter, performing the sort of grim rituals librarians perform with index cards and stumpy pencils and those rubber stamps with columns of rotating numbers. "Ms. Auerbach! What will it be today? Camus? Cervantes?" "Actually I'm looking for a book of poetry by Emily Dickinson" He paused somberly, toying with the twirled tip of his mustache. No matter how seriously librarians are engaged in their work, they are always glad to be interrupted when the theme is books. It makes no difference to them how simple the search is or how behind on time either of you might be running - they consider all queries scrupulously. They love to have their knowledge tested. They lie in wait, they will not be rushed.

Long ago we had passed the stage of asking what was the meaning of life, a naïve query which understands life as the attaining of some aim through the active creation of something of value. For us, the meaning of life embraced the wider cycles of life and death, of suffering and of dying.

Google’s search algorithms, for example, return results better than anyone else’s. Proprietary technologies for extremely short page load times and highly accurate query autocompletion add to the core search product’s robustness and defensibility. It

asking what was the meaning of life, a naïve query which understands life as the attaining of some aim through the active creation of something of value. For us, the meaning of life embraced the wider cycles of life and death, of suffering and of dying.

For us, as prisoners, these thoughts were not speculations far removed from reality. They were the only thoughts that could be of help to us. They kept us from despair, even when there seemed to be no chance of coming out of it alive. Long ago we had passed the stage of asking what was the meaning of life, a naive query which understands life as the attaining of some aim through the active creation of something of value. For us, the meaning of life embraced the wider cycles of life and death, of suffering and of dying.

measured along five axes—speed (fast is always better than slow), accuracy (how relevant are the results to the user’s query?), ease of use (can everyone’s grandparents use Google?), comprehensiveness (are we searching the entire Internet?), and freshness (how fresh are the results?).

PRISM enabled the NSA to routinely collect data from Microsoft, Yahoo!, Google, Facebook, Paltalk, YouTube, Skype, AOL, and Apple, including email, photos, video and audio chats, Web-browsing content, search engine queries, and all other data stored on their clouds, transforming the companies into witting coconspirators.

On top of all that is the general complexity of life, complicating the search for clarity. Consider the question “What really happened?” say, in a failed marriage, divorce, and child-custody battle. The answer to that query is so complex that settling the disagreements frequently requires court evaluation and multi-party assessment

Here the query A320 returns algorithmic search results about the Airbus aircraft, together with advertisements for various non-aircraft goods numbered A320 that advertisers seek to market to those querying on this query. The lack of advertisements for the aircraft reflects the fact that few marketers attempt to sell A320 aircraft on the web.

No one has been able to aggregate more intention data on what consumers like than Google. Google not only sees you coming, but sees where you’re going. When homicide investigators arrive at a crime scene and there is a suspect—almost always the spouse—they check the suspect’s search history for suspicious Google queries (like “how to poison your husband”). I suspect we’re going to find that U.S. agencies have been mining Google to understand the intentions of more than some shopper thinking about detergent, but cells looking for fertilizer to build bombs. Google controls a massive amount of behavioral data. However, the individual identities of users have to be anonymized and, to the best of our knowledge, grouped. People are not comfortable with their name and picture next to a list of all the things they have typed into the Google query box. And for good reasons. Take a moment to imagine your picture and your name above everything you have typed into that Google search box. You’ve no doubt typed in some crazy shit that you would rather other people not know. So, Google has to aggregate this data, and can only say that people of this age or people of this cohort, on average, type in these sorts of things into their Google search box. Google still has a massive amount of data it can connect, if not to specific identities, to specific groups.

Even at that early date, the basic building blocks of web search had been already set in stone. Search was a four-step process. First came a sweeping scan of all the world’s web pages, via a spider. Second was indexing the information drawn from the spider’s crawl and storing the data on racks of computers known as servers. The third step, triggered by a user’s request, identified the pages that seemed best suited to answer that query. That result was known as search quality. The final step involved formatting and delivering the results to the user.

Most of the messaging and chatting I did was in search of answers to questions I had about how to build my own computer, and the responses I received were so considered and thorough, so generous and kind, they’d be unthinkable today. My panicked query about why a certain chipset for which I’d saved up my allowance didn’t seem to be compatible with the motherboard I’d already gotten for Christmas would elicit a two-thousand-word explanation and note of advice from a professional tenured computer scientist on the other side of the country. Not cribbed from any manual, this response was composed expressly for me, to troubleshoot my problems step-by-step until I’d solved them. I was twelve years old, and my correspondent was an adult stranger far away, yet he treated me like an equal because I’d shown respect for the technology. I attribute this civility, so far removed from our current social-media sniping, to the high bar for entry at the time. After all, the only people on these boards were the people who could be there—who wanted to be there badly enough—who had the proficiency and passion, because the Internet of the 1990s wasn’t just one click away. It took significant effort just to log on.

PRISM enabled the NSA to routinely collect data from Microsoft, Yahoo!, Google, Facebook, Paltalk, YouTube, Skype, AOL, and Apple, including email, photos, video and audio chats, Web-browsing content, search engine queries, and all other data stored on their clouds, transforming the companies into witting coconspirators. Upstream collection, meanwhile, was arguably even more invasive. It enabled the routine capturing of data directly from private-sector Internet infrastructure—the switches and routers that shunt Internet traffic worldwide, via the satellites in orbit and the high-capacity fiber-optic cables that run under the ocean.

Perhaps I have misjudged you, Christopher,” Erienne commented as he whirled her about in a wide sweep of the ballroom. “How so, my love?” He searched her face for some hint of her meaning. “You watch over me as closely as Stuart,” she stated and grew thoughtful. “Perhaps more so.” “I have not given up hope that you will someday become mine, madam, and I choose to safeguard against those who would take you from me.” “What of Stuart?” She raised a lovely brow as she awaited his answer. It was a long moment before he gave a reply. “In the ways of love, I do not consider Stuart as much a threat as an inconvenience.” “An inconvenience?” she queried. “I shall have to deal with him in time, and that will be the difficult part. I cannot dismiss the man without rousing your hatred again. ’Tis a most perplexing problem.” “You amaze me, Christopher.” Erienne shook her head, somewhat shocked by his casual disregard of her husband. “You truly amaze me.” “The feeling is mutual, my love.” His voice came as a soft caress and sent an eddy of sensations spiraling down through the core of her being. -Erienne & Christopher

Search engine query data is not the product of a designed statistical experiment and finding a way to meaningfully analyse such data and extract useful knowledge is a new and challenging field that would benefit from collaboration. For the 2012–13 flu season, Google made significant changes to its algorithms and started to use a relatively new mathematical technique called Elasticnet, which provides a rigorous means of selecting and reducing the number of predictors required. In 2011, Google launched a similar program for tracking Dengue fever, but they are no longer publishing predictions and, in 2015, Google Flu Trends was withdrawn. They are, however, now sharing their data with academic researchers... Google Flu Trends, one of the earlier attempts at using big data for epidemic prediction, provided useful insights to researchers who came after them... The Delphi Research Group at Carnegie Mellon University won the CDC’s challenge to ‘Predict the Flu’ in both 2014–15 and 2015–16 for the most accurate forecasters. The group successfully used data from Google, Twitter, and Wikipedia for monitoring flu outbreaks.

Tis obvious that you’re easily…” She paused, searching for a more sarcastic and descriptive word than “encouraged.” “Aroused?” he queried. Erienne gasped. “Certainly not!” “Have you changed your mind? You said at a twitch of a skirt…” “I know what I said!” “The subject seems to be on your mind quite a bit, my lady.” “I wonder why,” she retorted with unmistakable satire. It was impossible to ignore the manly feel of him against her. “Because you lust after my body?” he asked, feigning innocence. Erienne caught her breath in outrage. “I am a married woman, sir!” He heaved a laborious sigh. “Here we go again!” “Oh, you buffoon! Why don’t you leave me alone?” “Did I ask you to follow me?” he protested. She groaned aloud in frustration. “I’m sorry I did!” “Were you bruised?” He snuggled her closer against his body. “You feel all right to me.” “Christopher, if I weren’t so afraid of this horse, I’d slap you,” she threatened. “Why? I only inquired of your health.” “Because you make free with your hands! Now, stop that!” She threw away the hand that had settled on her thigh. “Don’t you ever get tired of playing the rake?” “The sport warms and excites me, madam,” he said, chuckling in her ear. -Erienne & Christopher

Specifically, the awareness that I claim is demonstrably non-computational is our understanding of the properties of natural numbers 0,1,2,3,4,....(One might even say that our concept of a natural number is, in a sense, a form of non-geometric 'visualization'.) We shall see in 2.5, by a readily accessible form of Godel's theorem (cf. response to query Q16), that this understanding is something that cannot be simulated computationally. From time to time one hears that some computer system has been 'trained' so as to 'understand' the concept of natural numbers. However, this cannot be true, as we shall see. It is our awareness of what a 'number' can actually mean that enables us to latch on to the correct concept. When we have this correct concept, we can-at least in principle-provide the correct answers to families of questions about numbers that are put to us, when no finite set of rules can do this. With only rules and no direct awareness, a computer-controlled robot (like Deep Thought) would be necessarily limited in ways in which we are not limited ourselves-although if we give the robot clever enough rules for its behaviour it may perform prodigious feats, some of which lie far beyond unaided human capabilities in specific narrowly enough defined areas, and it might be able to fool us, for some while, into thinking that it also possesses awareness.

At this point, the cautious reader might wish to read over the whole argument again, as presented above, just to make sure that I have not indulged in any 'sleight of hand'! Admittedly there is an air of the conjuring trick about the argument, but it is perfectly legitimate, and it only gains in strength the more minutely it is examined. We have found a computation Ck(k) that we know does not stop; yet the given computational procedure A is not powerful enough to ascertain that facet. This is the Godel(-Turing) theorem in the form that I require. It applies to any computational procedure A whatever for ascertaining that computations do not stop, so long as we know it to be sound. We deduce that no knowably sound set of computational rules (such as A) can ever suffice for ascertaining that computations do not stop, since there are some non-stopping computations (such as Ck(k)) that must elude these rules. Moreover, since from the knowledge of A and of its soundness, we can actually construct a computation Ck(k) that we can see does not ever stop, we deduce that A cannot be a formalization of the procedures available to mathematicians for ascertaining that computations do not stop, no matter what A is. Hence: (G) Human mathematicians are not using a knowably sound algorithm in order to ascertain mathematical truth. It seems to me that this conclusion is inescapable. However, many people have tried to argue against it-bringing in objections like those summarized in the queries Q1-Q20 of 2.6 and 2.10 below-and certainly many would argue against the stronger deduction that there must be something fundamentally non-computational in our thought processes. The reader may indeed wonder what on earth mathematical reasoning like this, concerning the abstract nature of computations, can have to say about the workings of the human mind. What, after all, does any of this have to do with the issue of conscious awareness? The answer is that the argument indeed says something very significant about the mental quality of understanding-in relation to the general issue of computation-and, as was argued in 1.12, the quality of understanding is something dependent upon conscious awareness. It is true that, for the most part, the foregoing reasoning has been presented as just a piece of mathematics, but there is the essential point that the algorithm A enters the argument at two quite different levels. At the one level, it is being treated as just some algorithm that has certain properties, but at the other, we attempt to regard A as being actually 'the algorithm that we ourselves use' in coming to believe that a computation will not stop. The argument is not simply about computations. It is also about how we use our conscious understanding in order to infer the validity of some mathematical claim-here the non-stopping character of Ck(k). It is the interplay between the two different levels at which the algorithm A is being considered-as a putative instance of conscious activity and as a computation itself-that allows us to arrive at a conclusion expressing a fundamental conflict between such conscious activity and mere computation.

2 Searching for Health Information 1. Choose a fitness or diet plan to research. 2. Determine the keywords you will use in the search query. 3. Time how long it takes you to find the information you are seeking using multiple search engines and the Internet Explorer Search box and QuickPick menu. 4. Evaluate how well you perform the search: a. Record how many Web sites you visit. b. For each site you visit, evaluate the quality of information and credibility of the site. List the qualities that make the site more or less credible. c. For the fitness or diet plan that you choose, find out the recommendations for exercise and any major food restrictions. d. Write down what further steps you should take to evaluate the quality of the information. 3

A habit is at work when users feel a tad bored and instantly open Twitter. They feel a pang of loneliness and before rational thought occurs, they are scrolling through their Facebook feeds. A question comes to mind and before searching their brains, they query Google. The first-to-mind solution wins.

one of my jobs at the start of an engagement was to search PDNet for anything that would shed light on our current project: comparable industries, comparable problems. Inevitably, any PDNet query produced a mountain of documents that I then had to wade through to find the few that might be relevant. Still, this long day’s (and, as often as not, night’s) work usually yielded something to point us in the right direction.

(fast is always better than slow), accuracy (how relevant are the results to the user’s query?), ease of use (can everyone’s grandparents use Google?), comprehensiveness (are we searching the entire Internet?), and freshness (how fresh are the results?).

A user can also depersonalize search results by performing her search query, and then appending &pws=0 to the end of the search page URL and reloading the page. Note, this works only if she has turned off Google Instant (Google’s feature of showing results instantly as the user types).

In the mid-’90s, when Larry and Sergey began to research the PhD thesis project that would become Google, the leading search engines ranked their results based on the content of a website. If you typed in a query such as “university,” you were just as likely to get a link to the website of a bookstore or a bike shop as you were to get one to an actual university. In fact, during a visit to one of those search companies, Larry complained about the poor results he got when he used the “university” query with their product. The fault was his, he was told. He should have been more precise with his query.

are busy fighting over fractions of a market-share point, someone else who doesn’t care will come in and build a new platform that completely changes the game. Larry again: “Obviously we think about competition to some extent. But I feel my job is mostly getting people not to think about our competition. In general I think there’s a tendency for people to think about the things that exist. Our job is to think of the thing you haven’t thought of yet that you really need. And by definition, if our competitors knew that thing, they wouldn’t tell it to us or anybody else.”86 This isn’t to say you should ignore competition. Competition makes you better. It keeps you sharp. We are all human and subject to complacency, no matter how often we tell ourselves to stay on our toes. Nothing lights a fire like a competitor. When Microsoft launched the Bing search engine in 2009, we were concerned enough to kick off an all-hands-on-deck process to intensify our efforts on search. This planted seeds that led to new features such as Google Instant (search results as you type) and Image Search (drag an image into the search box and Google figures out what it is and uses it as the query). You can draw a line from the launch of Bing to these great new features. As Nietzsche wrote in Thus Spake Zarathustra: “You must be proud of your enemy; then your enemy’s successes are also your successes.”87 Be proud of your competitors. Just don’t follow them.

This planted seeds that led to new features such as Google Instant (search results as you type) and Image Search (drag an image into the search box and Google figures out what it is and uses it as the query). You can draw a line from the launch of Bing to these great new features.

Till the time, you are enjoying the outside process, everything seems alright, but when the query arises, about why life, you search for the deeper meaning with life.

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We were doing this shopping search and saying, “We want a test where on this query we want to get 80 percent right answers.” And so they're saying, “Right! So if it's a wrong answer it's a bug, right?” And I said, “No, it's OK to have one wrong answer as long at it's not 80 percent.” So they say, “So a wrong answer's not a bug?” It was like those were the only two possibilities. There wasn't an idea that it's more of a trade-off.

The next day, when America woke up to the confirmed reality of a black president, roughly 1 in 100 searches for “Obama” also included the epithet or “KKK” in the query string.

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You go on living life, as if, everything is real, as everything is going into your mind, but you will never hold on for a moment, to notice, how everything filled into your mind? You were born with it, or is it acquired?

results, continuously and dynamically respond to hundreds of millions of asynchronous user queries, simultaneously matching them with context-appropriate advertisements. It’s no accident that Google’s system administration, networking, and load balancing techniques are perhaps even more closely guarded secrets than their search

Traditional SEO use to be clever tricks to rank higher. Now the best SEO is to provide the best answer to a search query.

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As search engine technology improves, the presentation of those answers will improve to the point where search engines may not even need to recommend any website links in response to a user’s query.

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When you search Google, it grabs your query (the text you typed into the search bar) and looks through its index to find the webpages that are most relevant.

Users tend to use shorter search phrases, but these are gradually getting longer, especially for non-navigational queries.

The increasing sophistication in representing world knowledge online also implies that asking the right questions will become more of a skill. A common error made among beginning searchers is to pose queries that have a built-in bias, a kind of leading question. A question that “leads the witness” wouldn’t be allowed in a courtroom and shouldn’t be in your research queries either. This is fairly common among K–12 students who don’t yet understand the basics of web search and often frame their questions with built-in assumptions. In cases like this, you need to know that the results are ordered by rank depending on the terms in the query. Take the following query: [is the average length of an octopus 25 inches?] It will give web links in the search results page that look right, but there’s an assumption within the query—that is, that octopuses actually are, on average, 25 inches in length. The web search results will be a bit misleading because there are so many positive hits that mention the terms “octopus” and “25 inches” on the same page. In this case, the search engine doesn’t really understand the question, but gives pages that best match the query, with its biases built in.

Table 1-3. Sample search queries and intent Term Queries Intent Monetary value Beijing Airport 980 Nav Low Hotels in Xi’an 2,644 Info Mid 7-Day China tour package 127 Trans High Sichuan jellyfish recipe 53 Info Low This type of analysis can help you determine where to place ads and where to concentrate content and links.

in addition to key words, each Google search query produces a wake of collateral data such as the number and pattern of search terms, how a query is phrased, spelling, punctuation, dwell times, click patterns, and location.

When we question, we are constrained by the topic at hand. Any queries that extend beyond that topic are deemed superfluous and therefore discouraged. Think of a lawyer chided by the judge for veering into “immaterial” lines of questioning, or a high school student reprimanded by her teacher for straying “off topic.” Wondering is open-ended, expansive. Wondering is what makes us human. That’s been true ever since the first caveman wondered what would happen if he rubbed two sticks together,

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What is the question I need to ask right now?" The answer to such a query, riddled with implications both subtle and profound, can elude detection like a nimble escape artist, leaving us wrestling with the shapeless void of uncertainty. Is it about love, career, or the perfect sandwich spread? Searching for that elusive question demands our wit, our courage, and our unyielding persuit of truth.

or surprise illnesses. Yes, there is competition for this product from less complete datasets, but market share will grow as more people become aware of it. An initial PR push might help to get the ball rolling on links that will help search visibility, but eventually, there will be branded search, too, as users look for this most complete dataset. Non-branded queries will consist of all illnesses combined with a cost or price keyword. As the product grows, there could be iterations that incorporate more things beyond price, but at least from the outset, you have validated that there’s lots of demand. Zooming in on this product, there are many aspects that make it an ideal Product-Led SEO strategy. It is programmatic and scalable, creates something new, and addresses untapped search demand. Additionally, and most importantly, there is a direct path to a paying telehealth user. Users can access the data without being a current customer, but the cost differential between telehealth (when appropriate) versus in-person will lead some users down a discovery journey that ends with a conversion. A user who might never have considered telehealth might be drawn to the cost savings in reduced transportation and waiting times that they would never have known about had they not seen your content. Making a Decision Now, as the telehealth executive, you have two competing product ideas to choose from. While you can eventually do both, you can only do one at a time, as I suggested earlier. You will take both of these product ideas and spec out all the requirements. The conditions library might require buying a medical repository and licensing many stock photos, while the cost directory is built on open-source datasets.

How might Google do this? The simplest way would be to just look for occurrences of a particular keyword, kind of like hitting Ctrl+F or Cmd+F to search a giant Word document. Indeed, this is how search engines in the 90’s used to work: they’d search for your query in their index and show the pages that had the most matches,[11] an attribute called keyword density.[12

Now let's consider the impact of sleep deprivation on our ability to distinguish right from wrong. A study of people in a raffle ticket competition found participants were more likely to cheat if they'd had as little as twenty-two minutes' less sleep than normal. Another study found we're less likely to search the internet for ethics-related queries the day we shift our clocks forward to daylight-saving time. Other studies found tired people are less likely to notice unethical behaviour in others, or even to recognise in the first place whether there is a moral or ethical question at stake.

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

users have grown to expect that the responses to their search queries will be returned in less than one second.

In its quest to organize the world’s information, Google has scoured vast troves of data to amass the greatest accumulation of information assets on the planet, including the billions of search queries on google.com and YouTube and the billions of interactions on Android, the dominant operating system for most mobile devices. Google also controls an ever-growing index of the world’s websites and the browsing history of more than 2 billion users, three types of maps of the Earth’s surface and traffic patterns, a real-time list of trending topics, the largest archive of discussions in Usenet groups, the entire contents of 20 million books, a huge collection of photographs, the largest collection of video on the planet, the largest online email repository, even the largest archive of DNA data.

If man was made in God’s image, after his likeness, it logically follows that God must resemble man. In fact God might even possess human failings. Does this mean that God is dependant on food and water? Does he depend on light to see and air to breathe? Is he dependant on the four elements? Does he require fire to warm him and water to cleanse him? Does he go in search of a mate? If the answer to these questions is no, God must not resemble man. Why then does Genesis imply God resembles man? God either resembles man made in his image, or he does not. Prehistoric texts from Sumeria and Babylon indicate that God walked the Earth in human form. As we question the nature of God, we might debate the following queries: Genesis tells us that man is made in the image of God. Why then were Adam and Eve not immortal like the God who created them? Why were they not omnipotent and omniscient? Had they been so endowed, they would have understood the dire consequences they faced from sinning against their creator. They would not have been open to temptation from the “serpent,” because they would already have been all-knowing. If Adam was made in God’s image, why do Jews and Christians believe man cannot become godlike?

One needs only to run a Google search on any subject of interest to see how the "information good" that is the response to one's query is produced by the coordinate effects of the uncoordinated actions of a wide and diverse range of individuals and organizations acting on a wide range of motivations-both market and nonmarket, state-based and nonstate.

He couldn’t spot them, and the minor foot traffic on the sidewalk was not enough to hide. They must have entered a building or alley. Rather than searching all of them, he let his nose do its job. Big breath in. Filter the smells. Aha. There, up the sidewalk a few more storefronts then into an arcade. The wolves that dragged her probably hoped to hide their scent and sneak out the back. Except Hayder knew this place. He knew where the door to the alley was, thus, when the steel door swung open, he stood there, arms crossed waiting for them. “Shit, he’s here. Get back inside,” the chubby one grunted. “Oh, don’t leave on my account. I insist you stay.” And to make sure they did, he kicked the door shut. The two thugs backed away from him, the one who needed to invest in a treadmill holding Arabella, who hung limp in his grasp, before him as a shield. She was alive. However, her eyes bore a resigned expression Hayder didn’t like at all. “Baby, are you all right? Did they hurt you?” The answer was moot. At this point, he was going to punish them no matter what, violently. They’d done the unforgivable when they’d taken Arabella and scared her. However, if they’d actually hurt her, or if she cried… We’ll make them wish their mother had a headache the night they were conceived. Rawr. Her reply emerged so soft he almost missed it. “I told you this would happen. They’ll never let me be free.” How utterly convinced she seemed and miserable. Totally unacceptable. “Don’t you dare take this without a fight,” he growled. The chubby one should have spent more time on expanding his mind instead of his waistline because he showed no sense at all when he said, “Bella here knows her place, and after the next full moon, it will be on her knees, serving the new alpha of the pack.” Hell no. Hayder didn’t even think twice about it. His fist shot out, and it connected to the idiot’s nose with a satisfying crunch, and that left one wolf. An even dumber wolf that seemed to think the switchblade he’d pulled out of a pocket and waved around would really make a difference. “Are you stupid enough to think you can take me with that puny knife?” Hayder couldn’t stem the incredulity in his query. “Stay back, cat, or else. It’s silver.” Silver, which meant painful if he got sliced with it. Harder to heal, too. But a three-inch blade wasn’t going to keep Hayder away from his woman. As beta, though, he did try to give the idiot a chance. Show patience before acting, or so he’d been taught as part of those anger management courses Leo made him take. Hayder employed one of the tricks to control impulsive acts. He counted. “Three.” “I’ll cut you.” Slash. Slash. The knifeman sketched lines in the air. “Two.” “I mean it.” “One. You’re dead.” Hayder took a step forward even as the last dumb wolf took a step back, one hand clamped around Arabella’s arm. Lightning fast, Hayder shot a hand out to grab the wrist of the guy wielding the knife. This fellow had slightly faster reflexes than his pack brothers and actually managed to score a line of red across his palm. The blood didn’t bother Hayder. ’Twas but a scratch. However, the coppery scent did something to Arabella. Up snapped her head. Her nostrils flared. Her brown eyes took on a wildness. Her lips pulled back in a snarl. “Don’t. Touch. Him!” With a screech, she turned on her captor and then proceeded to go rabid on his ass. How cool.

And to query and search out all such, as live not as becomes the truth of the gospel, and yet do profess it, so that they all may walk in it, as well as talk of it; for none hath the heavenly comfort of it, but who do walk in it. For all the talkers of Christ and His gospel, that do not walk in him, dishonor Him.

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But as Airbnb became huge, with lots of hosts and travelers, it became increasingly common to have to make multiple attempts to nail down a reservation. Meanwhile, Airbnb’s main competitors were no longer other small Internet businesses, but giant hotel corporations such as Hilton, Marriott, and Best Western. And one huge advantage these huge hotel chains offer to travelers is speedy confirmation. Their transactions are fast: by phone or on the Web, you can quickly find out whether rooms are still available and book one for the night you want. That’s because all the rooms in, say, a Hilton are managed by a central computer system, so one call lets you check all the rooms at the same time. Imagine instead if you had to call Hilton to inquire about each room individually. On any given call, the only thing the reservation clerk could tell you was whether, say, room 1226 at the San Francisco Hilton was available for the night you wanted. If not, you had to make another call to find out about room 1227, then another for room 1228. Booking a room with an Airbnb host was a little like that. So Airbnb had to figure out how a market with many hosts offering one room at a time could compete more effectively with hotels. Price was obviously important. But it was the spread of smartphones that helped Airbnb close the speed gap, and that may have mattered even more than price. Today, as hosts manage their reservations on their smartphones, they don’t have to wait until they return home to confirm a booking—they just check their phones. They can also, as soon as the room is booked, immediately update their Airbnb listing to remove its availability. That in turn makes it easier for a traveler searching for a room to find one that’s available, even though he or she still has to query one room at a time. Thus smartphones make the home hosting market work better not just because hosts can respond faster but also because they can update their bookings, which makes them more informative. This, too, reduces congestion (fewer rooms appear to be available, and a room that looks available is more likely to actually be so), and as a result helps travelers search more efficiently, with fewer time-wasting false leads.

To grow its search platform in the late ’90s, Google focused on one thing: being great at search, which we measured along five axes—speed (fast is always better than slow), accuracy (how relevant are the results to the user’s query?), ease of use (can everyone’s grandparents use Google?), comprehensiveness (are we searching the entire Internet?), and freshness (how fresh are the results?).

Until a few years ago, booking a hotel online was a remarkably frustrating experience: once you chose the destination you had to browse through dozens of brand.com sites, search for rates, location, fill endless contact forms to, eventually, find out that the hotel you liked was fully booked. This process could take days, while today the same result can be achieved by simply applying a filter on TripAdvisor, with a much faster and less frustrating UX. Back in 2008, without a proper aggregator, the only possibility web users had was to search for very generic keywords on search engines. This explains why, only a decade ago, the query “Hotels in Paris” was at its peak of popularity, while today the same query produces only 1/4 of the original volume.

The times when Google used to simply showed ten organic results seems like history. On a standard Google search, in fact, it is easy to get multimedia results directly in the SERP. Try googling “funny cats” and you will probably only have 3 or 4 links, together with a dozen of videos and images. According to several studies, last year Google responded with universal search results to more than 80% of queries, (mainly YouTube videos, images, and news).

Bronva challenges the illusion of anonymous searches by offering a platform where user queries remain confidential. It's a response to the realization that even reputed search engines were compromising user privacy. With Bronva, your searches are your own, leaving no digital footprint behind.

Now, the decline of God and the imminent collapse of so many faiths seems tied directly to the rise of surveillance, and the collective enforcement of social norms through instant global shaming. God promised punishment after death. Now it’s meted out in minutes. Karma was vague; digital shaming is specific. And I would argue people prefer the reliable nature of morality-through-surveillance over the ephemeral promises of the gods/Gods of the past. Prayers to God were rarely answered, while shouts into cyberspace always receive a response, even if misspelled and hateful. Everything God offered—answers, clarity, miracles, baby names—the internet does better. Do you know how many times What is the meaning of life? was searched on your platforms last year? Twenty-one billion times. Every one of those queries got a reply. The one question that could not be answered, until now, is Am I good?

In search on the Web, semantic search marks the transition from a “dumb” search of single web pages that have a probabilistic value of containing the information we are looking for to an intelligent search that delivers real answers or leads us to the very answer we are looking for on a web page that has nothing to do with the search query we used and therefore would not have come up in the traditional keyword-activated results of the past.

Semantic” is a Greek word that means “meaning,” and the field of Semantics busies itself with the study of the meaning of words and the orthology of logic. In search on the Web, semantic search marks the transition from a “dumb” search of single web pages that have a probabilistic value of containing the information we are looking for to an intelligent search that delivers real answers or leads us to the very answer we are looking for on a web page that has nothing to do with the search query we used and therefore would not have come up in the traditional keyword-activated results of the past.