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Tuesday, March 31, 2015

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by Nuahull March 31, 2015 in

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Monday, March 30, 2015

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by Nuahull March 30, 2015 in

Free Download Rama and Sita - a Story of DiwaliBy Alison Mott

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Rama and Sita - a Story of DiwaliBy Alison Mott

A re-telling of the story, recounted in the ancient Sanskrit poem 'The Ramayana', of Prince Rama of Kosala and his wife Sita, exiled to the forest by a jealous stepmother and hounded by the demons who lived there. This is a story of loyalty, courage and bravery, and the ability of love to overcome all. Suitable for children aged 4 and upwards, the book is an exciting read-at-home story and an excellent educational resource to support the study of the Festival of Diwali.

  • Sales Rank: #399455 in eBooks
  • Published on: 2015-11-05
  • Released on: 2015-11-05
  • Format: Kindle eBook

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Thursday, March 19, 2015

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by Nuahull March 19, 2015 in

Ebook Numsense! Data Science for the Layman: No Math Added

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Review

"... Having been familiar with the work of Annalyn Ng and Kenneth Soo for some time, it comes as no surprise that the book delivers on its titular promise. This is data science for the layman, and the often-complex math--which the book describes at a high level--is intentionally not covered in detail. But don't be misled: this does not mean that the contents are in any way watered down. In fact, the information contained within is robust, with its strength being that it is abridged and concise..."-- Matthew MayoData Scientist and Deputy Editor of KDnuggets"... Numsense! is a convenient graphical description of key data science algorithms, useful as an introduction for new data scientists, an overview for business people who work with analysts, or a stimulating read for anyone who wants to know what happens to their data."-- Dr. David StillwellDeputy Director of The Psychometrics Centre,Lecturer in Big Data Analytics and Quantitative Social Science,Cambridge University Judge Business School"This is a great book. It is hard to explain data science without the math but this book does an amazing job. It balances both the simplicity and the depth."-- Ajit JaokarData Science for Internet of ThingsUniversity of Oxford"Numsense's excellent visualizations of machine learning concepts helped students coming from non-technical backgrounds to grasp these abstract concepts intuitively. It presents such a succinct and precise summary for what non-technical students need to know while navigating the world of data science for the first time."-- Ethan ChanLecturer for CS102 Big DataStanford University"While there is no Royal Road to machine learning and data science, Numsense! comes pretty close--with plenty of figures and relatable examples, it succeeds in covering most important techniques in a clear, intuitive way that is perfect for novices and those seeking to improve their practice alike. I recommend Numsense! as a fantastic way to optimize your machine learning learning function!"-- Barton YadlowskiData Scientist at Pandata LLC

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About the Author

Annalyn Ng graduated from the University of Michigan (Ann Arbor), where she also was an undergraduate statistics tutor. She then completed her MPhil degree with the University of Cambridge Psychometrics Centre, where she mined social media data for targeted advertising and programmed cognitive tests for job recruitment. Disney Research later roped her into their behavioral sciences team, where she examined psychological profiles of consumers. Kenneth Soo is due to complete his MS degree in Statistics at Stanford University by mid-2017. He was the top student for all three years of his undergraduate class in Mathematics, Operational Research, Statistics and Economics (MORSE) at the University of Warwick, where he was also a research assistant with the Operational Research & Management Sciences Group, working on bi-objective robust optimization with applications in networks subject to random failures.

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Product details

Paperback: 145 pages

Publisher: Annalyn Ng & Kenneth Soo; 1 edition (March 24, 2017)

Language: English

ISBN-10: 9811110689

ISBN-13: 978-9811110689

Product Dimensions:

6 x 0.4 x 9 inches

Shipping Weight: 9.9 ounces (View shipping rates and policies)

Average Customer Review:

4.7 out of 5 stars

82 customer reviews

Amazon Best Sellers Rank:

#123,197 in Books (See Top 100 in Books)

As a leader, student, and educator of Data Science, I think this is an excellent book to 'de-mystify' the black box of Advanced Statistics for business leaders who are launching studies that leverage Big Data. As Social and media research takes on a new dimension with huge sources of structured and unstructured data, Numsense shows numerous examples of how to make sense of data and make decisions based on how they inform us. Several algorithms have been described in English, and some fundamentals have been discussed for beginners. Data Scientists may already know many of these, but middle managers and business leaders will find this educational - they can plan on leveraging data using many of these cool and evolving methodologies. This type of book creates an opportunity for the business community to speak in a common vocabulary as industries transform from gut-feel to scientific, structured analysis based decision making.

As other reviewers mentioned, it's great entry level introduction to Data Science and Machine Learning. More importantly, it's a great resource for those of us who are buried deep in the technical side of Data Science, but need to surface from time to time and explain what we are doing and how we go about it to our business partners. I will definitely steal language and examples from this book for my business presentations

Forget the nonsense of IT media! Read Numsense and get to understand what "Data Science" is all about! Being in the BI field for almost two decades, this book is by far the best introduction to Data Mining (the real name behind buzzwords and hype like Machine Learning and Data Science.)If you are already schooled in Statistics and Mathmatic model developement,this book will be of no help.If, however, you don't know anything about how to use data to improve business and answer questions, this is your book. You're in to get a stream of "a-ha!" moments.The book has an almost highschool structure, easy to read and understand. Each method is introduced by describing the problem it solves best - forecasting for regression, profiling for clusters and so on. Then it solves the problem using a high level, descriptive analysis. After problem is solved some concepts are made clearer or in a more formal language. And that's it. At the end you are asking for more because it was sooo nice!

So you need to analyze a lot of data... and you aren't certain what your analysis options are, or which is better for your case. This is a great resource to help you determine where to put your effort... or... to evaluate a proposed analysis effort. If nothing else, the strengths and weaknesses summaries for each method will give you intelligent observations to make and questions to raise.But do not expect to learn how to perform any of these methods from this text. The devil of the detail must come from somewhere else. However, you will have a good idea of what to look for.

I am a software engineer, but not a mathematician or a statistician. I am a devops engineer that works with data scientists. Understanding their work a little better makes servicing their needs easier. I did this backwards. Purchased the book, read it, then asked one of the data scientists to look at the book. I did not waste my time. Well written, covers the topic well. I did have to reread sections and study the images carefully to understand the topic being covered.

Too many writings, I've read on data science tend to instantly delve into the weeds and yet never cover what the methodologies really are, much less when and why to use the methodology. Not with Numsense. This is a well-written book that does the opposite - it tells what and why for each methodology.For me it would have been better if the examples were more focused on other areas other than business & marketing, such as manufacturing. I can put a few uses cases together, though.Overall, very good book on the topic and one in which every manager should add to their immediate reading list. Unless they are already leading data science in their organization.

I just finished this book. I am trying to get into machine learning but was always boggled by the terminology like overfit, underfit, supervised vs unsupervised models, accuracy, tuning etc. This book gives perfect context and gives a concise summary of world of machine learning. It is perfect to get a sense of what this is all about, how models work, limitations of each model. Each algorithm is explained by a real world use case which a person can relate to.I guess even practicing machine learning professionals should buy this book to deepen their understanding.

I took the Coursera John Hopkins Data Science certification a few years ago. This book would have been great intro before starting that trek. I enjoyed the authors' simplicity and brevity. Highly recommended for dipping your toe into the data science data lake (or whatever moniker is being used today.)

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Tuesday, March 17, 2015

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by Nuahull March 17, 2015 in

Download Ebook The Internet of Us: Knowing More and Understanding Less in the Age of Big DataBy Michael P. Lynch

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The Internet of Us: Knowing More and Understanding Less in the Age of Big DataBy Michael P. Lynch

With far-reaching implications, this urgent treatise promises to revolutionize our understanding of what it means to be human in the digital age.

We used to say "seeing is believing"; now googling is believing. With 24/7 access to nearly all of the world's information at our fingertips, we no longer trek to the library or the encyclopedia shelf in search of answers. We just open our browsers, type in a few keywords and wait for the information to come to us. Indeed, the Internet has revolutionized the way we learn and know, as well as how we interact with each other. And yet this explosion of technological innovation has also produced a curious paradox: even as we know more, we seem to understand less.

While a wealth of literature has been devoted to life with the Internet, the deep philosophical implications of this seismic shift have not been properly explored until now. Demonstrating that knowledge based on reason plays an essential role in society and that there is much more to “knowing” than just acquiring information, leading philosopher Michael Patrick Lynch shows how our digital way of life makes us overvalue some ways of processing information over others, and thus risks distorting what it means to be human.

With far-reaching implications, Lynch's argument charts a path from Plato's cave to Shannon's mathematical theory of information to Google Glass, illustrating that technology itself isn't the problem, nor is it the solution. Instead, it will be the way in which we adapt our minds to these new tools that will ultimately decide whether or not the "Internet of Things"―all those gadgets on our wrists, in our pockets and on our laps―will be a net gain for humanity. Along the way, Lynch uses a philosopher's lens to examine some of the most urgent issues facing digital life today, including how social media is revolutionizing the way we think about privacy; why a greater reliance on Wikipedia and Google doesn't necessarily make knowledge "more democratic"; and the perils of using "big data" alone to predict cultural trends.

Promising to modernize our understanding of what it means to be human in the digital age, The Internet of Us builds on previous works by Nicholas Carr, James Gleick and Jaron Lanier to give us a necessary guide on how to navigate the philosophical quagmire that is the Information Age.

  • Sales Rank: #279376 in Books
  • Published on: 2016-03-21
  • Released on: 2016-03-21
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.60" h x 1.00" w x 6.60" l, .0 pounds
  • Binding: Hardcover
  • 256 pages

Review
“A bracing challenge to Internet enthusiasts.” (Booklist)

“Lynch’s basic argument is that if we understand better the conditions under which knowledge is produced and disseminated―conditions he explores clearly and cogently―then we will become more ‘responsible' knowers.” (Wall Street Journal)

“[A] fascinating new book…Lynch has been writing about this topic for a long time, and passionately.” (Jill Lepore - The New Yorker)

“[Lynch] pursues his argument with commendable seriousness, clarity, and attunement to historical context….He has written an intelligent book that struggles honestly with important questions: Is the net turning us into passive knowers? Is it degrading our ability to reason? What can we do about this?” (David Weinberger - LA Review of Books)

“Lynch effectively presents the case for rationality against factional loyalties and insists that there should be vigorous promotion of scientific methods and thinking in public discourse. . . . An excellent, much-needed contribution to the constant battle to sort truth from falsity.” (Kirkus Reviews, starred review)

About the Author
Michael P. Lynch is a writer and professor of philosophy at the University of Connecticut, where he directs the Humanities Institute. He is the author or editor of seven books, including, most recently, In Praise of Reason: Why Rationality Matters for Democracy, as well as Truth as One and Many and the New York Times Book Review Editors’ Choice True to Life. The recipient of the Medal for Research Excellence from the University of Connecticut's College of Liberal Arts and Sciences, Lynch has held grants from the National Endowment for the Humanities and is a frequent contributor to the New York Times's The Stone series.

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Monday, March 2, 2015

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by Nuahull March 02, 2015 in

Free Ebook Blood on Snow: A NovelBy Jo Nesbo

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Blood on Snow: A NovelBy Jo Nesbo

From the internationally acclaimed author of the Harry Hole novels—a fast, tight, darkly lyrical stand-alone novel that has at its center the perfectly sympathetic antihero: an Oslo contract killer who draws us into an unexpected meditation on death and love.

This is the story of Olav: an extremely talented “fixer” for one of Oslo’s most powerful crime bosses. But Olav is also an unusually complicated fixer. He has a capacity for love that is as far-reaching as is his gift for murder. He is our straightforward, calm-in-the-face-of-crisis narrator with a storyteller’s hypnotic knack for fantasy. He has an “innate talent for subordination” but running through his veins is a “virus” born of the power over life and death. And while his latest job puts him at the pinnacle of his trade, it may be mutating into his greatest mistake. . . .

  • Sales Rank: #288352 in Books
  • Published on: 2015-04-07
  • Released on: 2015-04-07
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.32" h x .93" w x 5.33" l, .0 pounds
  • Binding: Hardcover
  • 224 pages

Review
Praise for Jo Nesbø and Blood on Snow

“[A] tangled tale with a fateful twist.” —The Boston Globe

“Nesbø’s much-heralded gifts are on display—using his talent for conjuring the chilly Munch-like atmospherics of Oslo in the winter and his eye for grisly, alarming details that slam home the horror of the evil that men do.” —The New York Times Book Review
 
“[An] incendiary cocktail of murder, revenge and a hitman with . . . problems.” —The Independent (London)
 
“Dark, intense, and bone chilling.” —Pittsburgh Post-Gazette
 
“Quick, entertaining. . . . [An] excursion to a slightly different corner of the criminal underworld, where death and love become tangled together in the cold, dark streets.” —Paste Magazine

“In the crowded field of Scandinavian crime fiction, Nesbø’s books stand out. . . . [He] likes to rip plots up . . . to play with the conventions of his genre.” —The New Yorker

“Noiry and pulpy: Nesbø’s gorgeously rendered images of snow, and of the titular blood on snow . . . are crying out to be filmed.” —The Guardian (London)

“[Blood on Snow] moves along swiftly in the carefully controlled voice of the killer. And before you know it, you’re in the middle of one of the wildest scenes in recent crime fiction . . . where there’s hardly any place to duck, just as in this entertaining novel, when the bullets fly.” —All Things Considered/NPR

“Nesbø is a master storyteller, gripping the reader from the first page.” —Daily Express (London)

“I am the world’s greatest living crime writer. [Jo Nesbø] is a man who is snapping at my heels like a rabid pit bull poised to take over my mantle when I dramatically pre-decease him.” —James Ellroy

“Nesbø explores the darkest criminal minds with grim delight and puts his killers where you least expect to find them. . . . His novels are maddeningly addictive.” —Vanity Fair

About the Author
JO NESBO is a musician, songwriter, and economist, as well as a writer. His Harry Hole novels include The Snowman, The Leopard, and Phantom and he is the author of several stand-alone novels, including The Son, as well as the Doctor Proctor series of children’s books. He is the recipient of numerous awards, including the Glass Key for best Nordic crime novel.
 
www.jonesbo.com

Excerpt. © Reprinted by permission. All rights reserved.

Chapter 1

The snow was dancing like cotton wool in the light of the street lamps. Aimlessly, unable to decide whether it wanted to fall up or down, just letting itself be driven by the hellish, ice-cold wind that was sweeping in from the great darkness covering the Oslo fjord. Together they swirled, wind and snow, round and round in the darkness between the warehouses on the quayside that were all shut for the night. Until the wind got fed up and dumped its dance partner beside the wall. And there the dry, windswept snow was settling around the shoes of the man I had just shot in the chest and neck.

 

Blood was dripping down onto the snow from the bottom of his shirt. I don’t actually know a lot about snow—or much else, for that matter—but I’ve read that snow crystals formed when it’s really cold are completely different from wet snow, heavy flakes, or the crunchy stuff. That it’s the shape of the crystals and the dryness of the snow that make the haemoglobin in the blood retain that deep red colour. Either way, the snow under him made me think of a king’s robe, all purple and lined with ermine, like the drawings in the book of Norwegian folk tales my mother used to read to me. She liked fairy tales and kings. That’s probably why she named me after a king.

 

The Evening Post had said that if the cold carried on like this until New Year, 1977 would be the coldest year since the war, and that we’d remember it as the start of the new ice age scientists had been predicting for a while. But what did I know? All I knew was that the man standing in front of me would soon be dead. There was no mistaking the way his body was shaking. He was one of the Fisherman’s men. It was nothing personal. I told him as much before he collapsed, leaving a smear of blood down the wall. If I ever get shot, I’d rather it was personal. I didn’t say it to stop his ghost coming after me—I don’t believe in ghosts. I just couldn’t think of anything else to say. Obviously I could have just kept my mouth shut. That’s what I usually do, after all. So there must have been something that made me so talkative all of a sudden. Maybe it was because there were only a few days to go before Christmas. I’ve heard that people are supposed to feel closer to each other around Christmas. But what do I know?

 

I thought the blood would freeze on top of the snow and end up just lying there. But instead the snow sucked the blood up as it fell, drawing it in under the surface, hiding it, as if it had some sort of use for it. As I walked home I imagined a snowman rising up from the snowdrift, one with clearly visible veins of blood under its deathly pale skin of ice.

 

On the way back to my flat I called Daniel Hoffmann from a phone box to tell him the job was done.

 

Hoffmann said that was good. As usual, he didn’t ask any questions. Either he’d learned to trust me in the course of the four years I’d been working as a fixer for him, or else he didn’t actually want to know. The job was done, so why would a man like him trouble himself with that sort of thing when what he was paying for was to have fewer problems? Hoffmann asked me to go down to the office the next day—he said he had a new job for me.

 

“A new job?” I asked, feeling my heart skip a beat.

 

“Yes,” Hoffmann said. “As in a new commission.”

 

“Oh, okay.”

 

I hung up, relieved. I don’t really do much more than commissions. I can’t actually be used for much more than that.

 

Here are four things I can’t be used for. Driving a getaway car. I can drive fast, that’s fine. But I can’t drive inconspicuously, and anyone driving a getaway car has to be able to do both. They have to be able to drive so they look just like any other car on the road. I landed myself and two other men in prison because I can’t drive inconspicuously enough. I drove like a demon, switching between forest tracks and main roads, and I’d long since lost our pursuers, and was just a few kilometres from the Swedish border. I slowed down and drove in a steady, law-abiding way like a grandad on a Sunday outing. And we still got stopped by a police patrol. They said afterwards that they had no idea it was the car used in the robbery, and that I hadn’t been driving too fast or breaking any of the rules of the road. They said it was the way I was driving. I’ve no idea what they meant, but they said it was suspicious.

 

I can’t be used in robberies. I’ve read that more than half of all bank employees who experience a robbery end up with psychological problems afterwards, some of them for the rest of their lives. I don’t know why, but the old man who was behind the counter of the post office when we went in was in a big hurry to develop psychological problems. He fell to pieces just because the barrel of my shotgun was pointed in his general direction, apparently. I saw in the paper the next day that he was suffering from psychological problems. Not much of a diagnosis, but either way, if there’s one thing you don’t want, it’s psychological problems. So I went to visit him in hospital. Obviously he didn’t recognise me—I’d been wearing a Santa Claus mask in the post office. (It was the perfect disguise. No one gave a second glance to three lads in Santa Claus outfits carrying sacks as they ran out of a post office in the middle of the Christmas shopping crowds.) I stopped in the doorway to the ward and looked at the old man. He was reading Class Struggle, the Communist newspaper. Not that I’ve got anything against Communists as individuals. Okay, maybe I have. But I don’t want to have anything against them as individuals, I just think they’re wrong. So I felt a bit guilty when I realised that I felt a lot better because the bloke was reading Class Struggle. But obviously there’s a big difference between feeling a bit guilty and a lot guilty. And like I said, I felt a lot better. But I stopped doing robberies. After all, there was no guarantee the next one would be a Communist.

 

And I can’t work with drugs, that’s number three. I just can’t do it. It’s not that I can’t get money out of people who are in debt to my employers. Junkies only have themselves to blame, and in my opinion people should pay for their mistakes, plain and simple. The problem’s more that I have a weak, sensitive nature, as my mum once put it. I suppose she saw herself in me. Either way, I have to stay well away from drugs. Like her, I’m the sort of person who’s just looking for someone to submit to. Religion, a big-brother figure, a boss. Drink and drugs. Besides, I can’t do math either, I can hardly count to ten without losing my concentration. Which is kind of stupid if you’re going to sell drugs or collect debts—that ought to be pretty obvious.

 

Okay. Last one. Prostitution. Same sort of thing there. I don’t have a problem with women earning money whatever way they like, and the idea that a bloke—me, for instance—should get a third of the money for sorting things out so the women can concentrate on the actual work. A good pimp is worth every krone they pay him, I’ve always thought that. The problem is that I fall in love so quickly, and then I stop seeing it in terms of business. And I can’t handle shaking, hitting or threatening the women, whether or not I’m in love with them. Something to do with my mother, maybe, what do I know? That’s probably why I can’t stand seeing other people beating up women either. Something just snaps. Take Maria, for instance. Deaf and dumb, with a limp. I don’t know what those two things have got to do with each other—nothing probably—but it’s a bit like once you start getting bad cards, they just keep coming. Which is probably why Maria ended up with an idiot junkie boyfriend as well. He had a fancy French name, Myriel, but owed Hoffmann thirteen thousand for drugs. The first time I saw her was when Pine, Hoffmann’s head pimp, pointed out a girl in a home-made coat and with her hair up in a bun, looking like she’d just left church. She was sitting on the steps in front of Ridderhallen, crying, and Pine told me she was going to have to pay back her boyfriend’s drug debt in kind. I thought it best to give her a gentle start, just hand-jobs. But she jumped out of the first car she got into after barely ten seconds. She stood there in floods of tears while Pine yelled at her. Maybe he thought she’d hear him if he shouted loud enough. Maybe that was what did it. The yelling. And my mum. Either way, something snapped, and even if I could see what Pine was trying to get into her head by the use of very loud sound waves, I ended up decking him, my own boss. Then I took Maria to a flat I knew was empty, then went to tell Hoffmann that I was no use as a pimp either.

 

But Hoffmann said—and I had to agree with him—that he couldn’t let people get away without paying their debts, because that sort of thing soon spreads to other, more important customers. So, well aware that Pine and Hoffmann were after the girl because she’d been stupid enough to take on her boyfriend’s debts, I went out looking until I found the Frenchman in a squat up in Fagerborg. He was both wrecked by drugs and broke, so I realised I wasn’t going to get a single krone out of him, no matter how much I shook him. I said that if he so much as approached Maria again I’d smash his nose into his brain. To be honest, I’m not sure there was much left of either of them. So I went back to Hoffmann, said the boyfriend had managed to get hold of some money, handed him thirteen thousand and said I presumed that meant hunting season on the girl was over.

 

I don’t know if Maria had been a user while they were together, if she was the sort who looked for ways to be submissive, but she seemed pretty straight now, at least. She worked in a small supermarket, and I looked in every now and then to make sure things were okay, and that her junkie boyfriend hadn’t popped up to ruin things for her again. Obviously I made sure she couldn’t see me, just stood outside in the darkness looking into the well-lit shop, watching her sitting at the till, putting things in bags, and pointing at one of the others if anyone spoke to her. Every so often I suppose we all need to feel that we’re living up to our parents. I don’t know what Dad had that I could live up to—this is probably more about Mum. She was better at looking after other people than herself, and I suppose I saw that as a kind of ideal back then. God knows. Either way, I didn’t really have much use for the money I was earning from Hoffmann. So what if I dealt a decent card to a girl who’d been given such a lousy hand?

 

Anyway. To sum up, let’s put it like this: I’m no good at driving slowly, I’m way too soft, I fall in love far too easily, I lose my head when I get angry, and I’m bad at math. I’ve read a bit, but I don’t really know much, and certainly nothing anyone would find useful. And stalactites grow faster than I can write.

 

So what on earth can a man like Daniel Hoffmann use someone like me for?

 

The answer is—as you might have worked out already—as a fixer.

 

I don’t have to drive, and I mostly kill the sort of men who deserve it, and the numbers -aren’t exactly hard to keep track of. Not right now, anyway.

 

There are two calculations.

 

To start with, there’s the one that’s ticking away the whole time: When exactly do you reach the point where you know so much about your boss that he starts to get worried? And when do you know he’s beginning to wonder if he ought to fix the fixer? Like one of those black widows. Not that I know much about arachnology or whatever it’s called, but I think the widows let the males, who are much smaller, fuck them. Then, when he’s finished and the female has no more use for him, she eats him. In Animal Kingdom 4: Insects and Spiders in the Deichman Library there’s a picture of a black widow with the male’s chewed-off pedipalp, which is like the spider’s cock, still hanging from her genitals. And you can see the blood-red, hourglass-shaped mark on the female’s abdomen. Because the hourglass is running, you pathetic, randy little male spider, and you need to keep to your allotted visiting time. Or, to be more accurate, you need to know when visiting time is over. And then you get the fuck out of there, come what may, with a couple of bullets in the side or whatever—you just have to get away, to the only thing that can save you.

 

That’s how I saw it. Do what you have to, but don’t get too close.

 

And that’s why I was seriously fucking worried about the new job Hoffmann had given me.

 

He wanted me to fix his wife.

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