Data Quality Quotes

Pilots used to fly planes manually, but now they operate a dashboard with the help of computers. This has made flying safer and improved the industry. Healthcare can benefit from the same type of approach, with physicians practicing medicine with the help of data, dashboards, and AI. This will improve the quality of care they provide and make their jobs easier and more efficient

A change in Quantity also entails a change in Quality

Every business can benefit from good quality management consulting services. Consultants are able to gather, assemble and utilize data in unique ways. Consultants also have perspectives that are likely to be unique compared to the perspectives you find internal to your business.

The five-star scale doesn’t really exist for humans; it exists for data aggregation systems, which is why it did not become standard until the internet era. Making conclusions about a book’s quality from a 175-word review is hard work for artificial intelligences, whereas star ratings are ideal for them.

Many people object to “wasting money in space” yet have no idea how much is actually spent on space exploration. The CSA’s budget, for instance, is less than the amount Canadians spend on Halloween candy every year, and most of it goes toward things like developing telecommunications satellites and radar systems to provide data for weather and air quality forecasts, environmental monitoring and climate change studies. Similarly, NASA’s budget is not spent in space but right here on Earth, where it’s invested in American businesses and universities, and where it also pays dividends, creating new jobs, new technologies and even whole new industries.

The Qur'an follows on from the two Revelations that preceded it and is not only free from contradictions in its narrations, the sign of the various human manipulations to be found in the Gospels, but provides a quality all of its own for those who examine it objectively and in the light of science i.e. its complete agreement with modern scientific data.

Focus groups for business projects are kind of the same. In this, you are going to collect data from a group of your customers or potential customers rather than your friends.

Perception requires imagination because the data people encounter in their lives are never complete and always equivocal. For example, most people consider that the greatest evidence of an event one can obtain is to see it with their own eyes, and in a court of law little is held in more esteem than eyewitness testimony. Yet if you asked to display for a court a video of the same quality as the unprocessed data catptured on the retina of a human eye, the judge might wonder what you were tryig to put over. For one thing, the view will have a blind spot where the optic nerve attaches to the retina. Moreover, the only part of our field of vision with good resolution is a narrow area of about 1 degree of visual angle around the retina’s center, an area the width of our thumb as it looks when held at arm’s length. Outside that region, resolution drops off sharply. To compensate, we constantly move our eyes to bring the sharper region to bear on different portions of the scene we wish to observe. And so the pattern of raw data sent to the brain is a shaky, badly pixilated picture with a hole in it. Fortunately the brain processes the data, combining input from both eyes, filling in gaps on the assumption that the visual properties of neighboring locations are similar and interpolating. The result - at least until age, injury, disease, or an excess of mai tais takes its toll - is a happy human being suffering from the compelling illusion that his or her vision is sharp and clear. We also use our imagination and take shortcuts to fill gaps in patterns of nonvisual data. As with visual input, we draw conclusions and make judgments based on uncertain and incomplete information, and we conclude, when we are done analyzing the patterns, that out “picture” is clear and accurate. But is it?

Although the method is simple, it shows how, mathematically, random brute force can overcome precise logic. It's a numerical approach that uses quantity to derive quality.

So the 185 billion events to be enjoyed over our mortal days might be either an overestimate or an underestimate. If we consider the amount of data the brain could theoretically process, the number might be too low; but if we look at how people actually use their minds, it is definitely much too high. In any case, an individual can experience only so much. Therefore, the information we allow into consciousness becomes extremely important; it is, in fact, what determines the content and the quality of life.

This suggests that our boding mechanisms depend on our own perception of the other and that therefore our ability to bond with them depends much more on emotional settings than on abstract "humanlike" qualities. For the same reason, it is the very emotionality Commmander Data from Star Trek displays every time it complains about having no emotions that endears it; an emotionless machine would not constantly raise the issues of its own worth, value, and personhood.

the track of Quality preselects what data we’re going to be conscious of, and it makes this selection in such a way as to best harmonize what we are with what we are becoming.

Quality without science and research is absurd. You can't make inferences that something works when you have 60 percent missing data.

Data is the blood of any organization; coming from everywhere, used everywhere, connecting all the body, transferring messages and when analyzed it reflects the whole picture of the body.

A dispassionate conceptual development of the typology of violence must by definition ignore its traumatic impact. Yet there is a sense in which a cold analysis of violence somehow reproduces and participates in its horror. A distinction needs to be made, as well, between (factual) truth and truthfulness: what renders a report of a raped woman (or any other narrative of a trauma) truthful is its very factual unreliability, its confusion, its inconsistency. If the victim were able to report on her painful and humiliating experience in a clear manner, with all the data arranged in a consistent order, this very quality would make us suspicious of its truth.

Specifically, Kahan identified “scientific curiosity.” That’s different from scientific literacy. The two qualities are correlated, of course, but there are curious people who know rather little about science (yet), and highly trained people with little appetite to learn more.

Leyner's fiction is, in this regard, an eloquent reply to Gilder's prediction that our TV-culture problems can be resolved by the dismantling of images into discrete chunks we can recombine as we fancy. Leyner's world is a Gilder-esque dystopia. The passivity and schizoid decay still endure for Leyner in his characters' reception of images and waves of data. The ability to combine them only adds a layer of disorientation: when all experience can be deconstructed and reconfigured, there become simply too many choices. And in the absence of any credible, noncommercial guides for living, the freedom to choose is about as "liberating" as a bad acid trip: each quantum is as good as the next, and the only standard of an assembly's quality is its weirdness, incongruity, its ability to stand out from a crowd of other image-constructs and wow some Audience.

As CEO, you should have an opinion on absolutely everything. You should have an opinion on every forecast, every product plan, every presentation, and even every comment. Let people know what you think. If you like someone’s comment, give her the feedback. If you disagree, give her the feedback. Say what you think. Express yourself. This will have two critically important positive effects:   Feedback won’t be personal in your company. If the CEO constantly gives feedback, then everyone she interacts with will just get used to it. Nobody will think, “Gee, what did she really mean by that comment? Does she not like me?” Everybody will naturally focus on the issues, not an implicit random performance evaluation.   People will become comfortable discussing bad news. If people get comfortable talking about what each other are doing wrong, then it will be very easy to talk about what the company is doing wrong. High-quality company cultures get their cue from data networking routing protocols: Bad news travels fast and good news travels slowly. Low-quality company cultures take on the personality of the Wicked Witch of the West in The Wiz: “Don’t nobody bring me no bad news.

As we’ve gone along, I’ve pointed out that a warm childhood relationship with his mother—not maternal education—was significantly related to a man’s verbal test scores, to high salary, to class rank at Harvard, and to military rank at the end of World War II. At the men’s twenty-fifth reunion, it looked, to my surprise, as though the quality of a man’s relationship with his mother had little effect on overall midlife adjustment. However, forty-five years later, to my surprise again, the data suggested that there was a significant positive correlation between the quality of one’s maternal relationship and the absence of cognitive decline. At age ninety, 33 percent of the men with poor maternal relationships, and only 13 percent of men with warm relationships, suffered from dementia.

Completeness of crucial information is extremely important, as missing data is not only a cost issue but is also a massive lost opportunity issue...

Make a habit of discussing a problem on the basis of the data and respecting the facts shown by them.” - Dr Kaoru Ishikawa

He said sometimes when you're young you have to think about things, because you're forming your value-sets and you keep coming up with Data Insufficient and finding holes in your programs. So you keep trying to do a fix on your sets. And the more powerful your mind is and the more intense your concentration is, the worse damage you can do to yourself, which is why, Justin says, Alphas always have trouble and some of them go way off and out-there, and why almost all Alphas are eccentric. But he says the best thing you can do if you're too bright for your own good is what the Testers do, be aware where you got which idea, keep a tab on everything, know how your ideas link up with each other and with your deep-sets and value-sets, so when you're forty or fifty or a hundred forty and you find something that doesn't work, you can still find all the threads and pull them. But that's not real easy unless you know what your value-sets are, and most CITs don't. CITs have a trouble with not wanting to know that kind of thing. Because some of them are real eetee once you get to thinking about how they link. Especially about sex and ego-nets. Justin says inflexibility is a trap and most Alpha types are inward-turned because they process so fast they're gone and thinking before a Gamma gets a sentence out. Then they get in the habit of thinking they thought of everything, but they don't remember everything stems from input. You may have a new idea, but it stems from input somebody gave you, and that could be wrong or your senses could have been lying to you. He says it can be an equipment-quality problem or a program-quality problem, but once an Alpha takes a falsehood for true, it's a personal problem.

The algorithms of superintelligence will change the world in a positive way but trouncing human being will not be possible due to emotions, empathy, social interactions, reproduction, and mortality which are the qualities that belong to humans only.

the consequences of scientific illiteracy are far more dangerous in our time than in any that has come before. It’s perilous and foolhardy for the average citizen to remain ignorant about global warming, say, or ozone depletion, air pollution, toxic and radioactive wastes, acid rain, topsoil erosion, tropical deforestation, exponential population growth. Jobs and wages depend on science and technology. If our nation can’t manufacture, at high quality and low price, products people want to buy, then industries will continue to drift away and transfer a little more prosperity to other parts of the world. Consider the social ramifications of fission and fusion power, supercomputers, data “highways,” abortion, radon, massive reductions in strategic weapons, addiction, government eavesdropping on the lives of its citizens, high-resolution TV, airline and airport safety, fetal tissue transplants, health costs, food additives, drugs to ameliorate mania or depression or schizophrenia, animal rights, superconductivity, morning-after pills, alleged hereditary antisocial predispositions, space stations, going to Mars, finding cures for AIDS and cancer. How can we affect national policy—or even make intelligent decisions in our own lives—if we don’t grasp the underlying issues?

Every successful brand stands for something more than itself, and that thing is emotional. A great brand promises hope, the contagion of coolness, or desirability, or love, or romance, or acceptance, or luxury, or youth, or sophistication, or high-quality technology.

It is not that I am a genius or exceptionally gifted, not by any means. Quite the contrary. What Happened (I shall try to explain it) is that every mind is shaped by its own experiences and memories and knowledge, and what makes it unique is the grand total and extremely personal nature of the collection of all the data that have made it what it is. Each person possesses a mind with powers that are, whether great or small, always unique, powers that belong to them alone. This renders them capable of carrying out a feat, whether grandiose or banal, that only they could have carried out. In this case, all others had failed because they had counted on the simple quantitative progression of intelligence and ingenuity, when what was required was an unspecified quantity, but of the appropriate quality, of both. My own intelligence is quite minimal, a fact that I have ascertained at great cost to myself. It has been just barely adequate to keep me afloat in the tempestuous waters of life. Yet, its quality is unique; not because I decided it would be, but rather because that is how it must be.

Thanks in part to the resulting high score on the evaluation, he gets a longer sentence, locking him away for more years in a prison where he’s surrounded by fellow criminals—which raises the likelihood that he’ll return to prison. He is finally released into the same poor neighborhood, this time with a criminal record, which makes it that much harder to find a job. If he commits another crime, the recidivism model can claim another success. But in fact the model itself contributes to a toxic cycle and helps to sustain it. That’s a signature quality of a WMD.

Drift. Down through deltas of former girlfriends, degrees of confirmation of girlfriendhood, personal sightings of Rez or Lo together with whichever woman in whatever public place, each account illuminated with the importance the event had held for whoever had posted it. This being for Laney the most peculiar aspect of this data, the perspective in which these two loomed. Human in every detail but then not so. Everything scrupulously, fanatically accurate, probably, but always assembled around the hollow armature of celebrity. He could see celebrity here, not like Kathy’s idea of a primal substance, but as a paradoxical quality inherent in the substance of the world. He saw that the quantity of data accumulated here by the band’s fans was much greater than everything the band themselves had ever generated. And their actual art, the music and the videos, was the merest fragment of that.

In this chapter I will describe the effects of the data deluge on all members of society generally and how it erodes the confidence, judgment, and decisiveness of leaders in particular. Then I will show the paradoxical side of the data deluge. Despite its anxiety-provoking effects, the proliferation of data also has an addictive quality. Leaders, healers, and parents “imbibe” data as a way of dealing with their own chronic anxiety. The pursuit of data, in almost any field, has come to resemble a form of substance abuse, accompanied by all the usual problems of addiction: self-doubt, denial, temptation, relapse, and withdrawal. Leadership training programs thus wind up in the codependent position of enablers, with publishers often in the role of “suppliers.” What does it take to get parents, healers, and managers, when they hear of the latest quick-fix fad that has just been published, to “just say no”?

Indian children are more likely to be malnourished than children from Zimbabwe, Somalia and the Democratic Republic of Congo, Africa’s three poorest countries,1 and in Delhi, nearly 5 million school-aged children have irreversible lung damage from that city’s air quality, which is twice as bad as Beijing’s.2

Empirically, things are poignant, tragic, beautiful, humorous, settled, disturbed, comfortable, annoying, barren, harsh, consoling, splendid, fearful; are such immediately and in their own right and behalf.... These traits stand in themselves on precisely the same level as colours, sounds, qualities of contact, taste and smell. Any criterion that finds the latter to be ultimate and "hard" data will, impartially applied, come to the same conclusion about the former. -Any- quality as such is final; it is at once initial and terminal; just what it is as it exists. it may be referred to other things, it may be treated as an effect or a sign. But this involves an extraneous extension and use. It takes us beyond quality in its immediate qualitativeness.... The surrender of immediate qualities, sensory and significant, as objects of science, and as proper forms of classification and understanding, left in reality these immediate qualities just as they were; since they are -had- there is no need to -know- them. But... the traditional view that the object of knowledge is reality par excellence led to the conclusion that the object of science was preeminently metaphysically real. Hence, immediate qualities, being extended from the object of science, were left thereby hanging loose from the "real" object. Since their -existence- could not be denied, they were gathered together into a psychic realm of being, set over against the object of physics. Given this premise, all the problems regarding the relation of mind and matter, the psychic and the bodily, necessarily follow. Change the metaphysical premise; restore, that is to say, immediate qualities to their rightful position as qualities of inclusive situations, and the problems in question cease to be epistemological problems. They become specifiable scientific problems; questions, that is to say, of how such and such an event having such and such qualities actually occurs.

The lack of meritocracy in academia is a problem that should concern all of us if we care about the quality of the research that comes out of the academy, because studies show that female academics are more likely than men to challenge male-default analysis in their work.53 This means that the more women who are publishing, the faster the gender data gap in research will close. And we should care about the quality of academic research.

I like to ensure that I have music and art all around me. My personal favorite is old maps. What I love about old maps is that they are both beautiful and imperfect. These imperfections represent that some of the most talented in history were still very wrong (early cartography was very difficult). As the majority of my work is analysis and advisory, I find it a valuable reminder that my knowledge is limited. No matter how much data or insight I have, I can never fully “map out” any business. Yet, despite the incompleteness of these early cartographers, so much was learned of the world. So much done and accomplished. Therefore, these maps, or art pieces, serve as something to inspire both humility and achievement. This simple environmental factor helps my productivity and the overall quality of my work. Again, it’s like adding positive dice to my hand that are rolled each day.

High-quality and transparent data, clearly documented, timely rendered, and publicly available are the sine qua non of competent public health management. During a pandemic, reliable and comprehensive data are critical for determining the behavior of the pathogen, identifying vulnerable populations, rapidly measuring the effectiveness of interventions, mobilizing the medical community around cutting-edge disease management, and inspiring cooperation from the public. The shockingly low quality of virtually all relevant data pertinent to COVID-19, and the quackery, the obfuscation, the cherrypicking and blatant perversion would have scandalized, offended, and humiliated every prior generation of American public health officials. Too often, Dr. Fauci was at the center of these systemic deceptions. The “mistakes” were always in the same direction—inflating the risks of coronavirus and the safety and efficacy of vaccines in

The master propagandist, like the advertising expert, avoids obvious emotional appeals and strives for a tone that is consistent with the prosaic quality of modern life—a dry, bland matter-of-factness. Nor does the propagandist circulate "intentionally biased" information. He knows that partial truths serve as more effective instruments of deception than lies. Thus he tries to impress the public with statistics of economic growth that neglect to give the base year from which growth is calculated, with accurate but meaningless facts about the standard of living—with raw and uninterpreted data, in other words, from which the audience is invited to draw the inescapable conclusion that things are getting better and the present régime therefore deserves the people's confidence, or on the other hand that things are getting worse so rapidly that the present régime should be given emergency powers to deal with the developing crisis.

There's a myth that with age the vagina risks a "use it or lose it" scenario - meaning without the potency of a penis the vagina may shrink permanently. It's simply shocking (imagine my voice dripping in sarcasm) that there's no similar myth that the penis can avoid shrinkage with regular vaginal contact. The "use it or lose it" theory was based on lower quality data that wouldn't be accepted today. Loss of estrogen and age related changes are what affect a vagina: it's not a lament for the touch of a man.

In this zero-marginal-cost economy, the only way to make money is to scrape consumer data from your users and sell it to advertisers. In the creative world, nowhere does the fixed cost to produce high-quality music, video, books, and games get factored into this equation. How are musicians, journalists, photographers, and filmmakers going to survive in the zero-marginal-cost economy? For the media economy to continue, we are going to have to find ways to deal with the paradox that Summers and DeLong point to.

The company’s problems with the FDA were far bigger than just the drugs intended for Africa. Ranbaxy had not properly tested the stability of almost any drugs on the U.S. market. The most basic good manufacturing practices require continuous monitoring of drug quality. Drug stability must be tested at intervals called “stations”: three months, six months, nine months, and so on. So long as a drug is on the market, that data has to be filed in an annual report with the FDA. One is never out of data, because obtaining it is simply part of the process.

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.

The future for ancient DNA laboratories that I find appealing is based on a model that has emerged among radiocarbon dating laboratories. For example, the Oxford Radiocarbon Accelerator Unit processes large numbers of samples for a fee, and uses this income stream to support a factory that churns out routine dates and produces data more cheaply, efficiently, and at higher quality than would be possible if its scientists limited themselves to their own questions. But its scientists then piggyback on the juggernaut of the radiocarbon dating factory they have built to do cutting-edge science,

We have first to distinguish knowledge of things and knowledge of truths. In each there are two kinds, one immediate and one derivative. Our immediate knowledge of things, which we called acquaintance, consists of two sorts, according as the things known are particulars or universals. Among particulars, we have acquaintance with sense-data and (probably) with ourselves. Among universals, there seems to be no principle by which we can decide which can be known by acquaintance, but it is clear that among those that can be so known are sensible qualities, relations of space and time, similarity, and certain abstract logical universals. Our derivative knowledge of things, which we call knowledge by description, always involves both acquaintance with something and knowledge of truths. Our immediate knowledge of truths may be called intuitive knowledge, and the truths so known may be called self-evident truths. Among such truths are included those which merely state what is given in sense, and also certain abstract logical and arithmetical principles, and (though with less certainty) some ethical propositions. Our derivative knowledge of truths consists of everything that we can deduce from self-evident truths by the use of self-evident principles of deduction.

I don’t know to what extent ignorance of science and mathematics contributed to the decline of ancient Athens, but I know that the consequences of scientific illiteracy are far more dangerous in our time than in any that has come before. It’s perilous and foolhardy for the average citizen to remain ignorant about global warming, say, or ozone depletion, air pollution, toxic and radioactive wastes, acid rain, topsoil erosion, tropical deforestation, exponential population growth. Jobs and wages depend on science and technology. If our nation can’t manufacture, at high quality and low price, products people want to buy, then industries will continue to drift away and transfer a little more prosperity to other parts of the world. Consider the social ramifications of fission and fusion power, supercomputers, data “highways,” abortion, radon, massive reductions in strategic weapons, addiction, government eavesdropping on the lives of its citizens, high-resolution TV, airline and airport safety, fetal tissue transplants, health costs, food additives, drugs to ameliorate mania or depression or schizophrenia, animal rights, superconductivity, morning-after pills, alleged hereditary antisocial predispositions, space stations, going to Mars, finding cures for AIDS and cancer.

Say Goodbye to Fingersticks & hello to Continuous Glucose Monitoring Systems Living with diabetes is a daily challenge, requiring individuals to closely monitor their blood glucose levels to maintain stable health. Fortunately, advancements in medical technology have revolutionized diabetes management, with one such innovation being Continuous Glucose Monitoring (CGM) systems. CGM has become a game-changer for diabetics, providing real-time data and insights that enable better control of blood sugar levels and, ultimately, a higher quality of life. In this article, we will explore the benefits of Continuous Glucose Monitoring and how it has transformed diabetes management for the better.

Data show that the more patients actually know, the less they want of our treatments at the end of life. A study of 230 surrogate decision makers for patients on breathing machines demonstrated that the better the quality of clinician–family communication, the less life support was elected. Another study showed that people were less likely to want CPR after they learned what it actually entailed. Most people dramatically overestimate the likelihood of survival after CPR. When they learn the real numbers, they are less likely to want it by about 50 percent. In short, when people have a more robust understanding of the benefits and burdens of the treatment they are actually getting, they want less of it.

I have found it frustrating at times that so few people know what the space program does and, as a result, are unaware that they benefit from it. Many people object to “wasting money in space” yet have no idea how much is actually spent on space exploration. The CSA’s budget, for instance, is less than the amount Canadians spend on Halloween candy every year, and most of it goes toward things like developing telecommunications satellites and radar systems to provide data for weather and air quality forecasts, environmental monitoring and climate change studies. Similarly, NASA’s budget is not spent in space but right here on Earth, where it’s invested in American businesses and universities, and where it also pays dividends, creating new jobs, new technologies and even whole new industries. The

Joy and sadness, vivacity and obtuseness are data of introspection, and when we invest landscapes or other people with these states, it is because we have observed in ourselves the coincidence between these internal perceptions and the external signs associated with them by the accidents of our constitution. Perception thus impoverished becomes purely a matter of knowledge, a progressive noting down of qualities and of their most habitual distribution, and the perceiving subject approaches the world as the scientist approaches his experiments. If on the other hand we admit that all these ‘projections’, all these ‘associations’, all these ‘transferences’ are based on some intrinsic characteristic of the object, the ‘human world’ ceases to be a metaphor and becomes once more what it really is, the seat and as it were the homeland of our thoughts.

von Braun went looking for problems, hunches, and bad news. He even rewarded those who exposed problems. After Kranz and von Braun’s time, the “All Others Bring Data” process culture remained, but the informal culture and power of individual hunches shriveled. In 1974, William Lucas took over the Marshall Space Flight Center. A NASA chief historian wrote that Lucas was a brilliant engineer but “often grew angry when he learned of problems.” Allan McDonald described him to me as a “shoot-the-messenger type guy.” Lucas transformed von Braun’s Monday Notes into a system purely for upward communication. He did not write feedback and the notes did not circulate. At one point they morphed into standardized forms that had to be filled out. Monday Notes became one more rigid formality in a process culture. “Immediately, the quality of the notes fell,” wrote another official NASA historian.

Recent studies indicate that boys raised by women, including single women and lesbian couples, do not suffer in their adjustment; they are not appreciably less “masculine”; they do not show signs of psychological impairment. What many boys without fathers inarguably do face is a precipitous drop in their socioeconomic status. When families dissolve, the average standard of living for mothers and children can fall as much as 60 percent, while that of the man usually rises. When we focus on the highly speculative psychological effects of fatherlessness we draw away from concrete political concerns, like the role of increased poverty. Again, there are as yet no data suggesting that boys without fathers to model masculinity are necessarily impaired. Those boys who do have fathers are happiest and most well adjusted with warm, loving fathers, fathers who score high in precisely “feminine” qualities.

The psychosis-inducing effects of synthetics offered one last, crucial piece of evidence about the risks of cannabis. And so, in January 2017, the National Academy of Medicine examined the thirty years of research that had begun with Sven Andréasson’s paper and declared the issue settled. “The association between cannabis use and development of a psychotic disorder is supported by data synthesized in several good-quality systematic reviews,” the NAM wrote. “The magnitude of this association is moderate to large and appears to be dose-dependent . . . The primary literature reviewed by the committee confirms the conclusions of the systematic reviews.” But almost no one noticed the National Academy report. The New York Times published an online summary of its findings—in May 2018, more than a year after it appeared. It has not changed the public policy debate around marijuana in the United States or perceptions of the safety of the drug.

I know that the consequences of scientific illiteracy are far more dangerous in our time than in any that has come before. It’s perilous and foolhardy for the average citizen to remain ignorant about global warming, say, or ozone depletion, air pollution, toxic and radioactive wastes, acid rain, topsoil erosion, tropical deforestation, exponential population growth. Jobs and wages depend on science and technology. If our nation can’t manufacture, at high quality and low price, products people want to buy, then industries will continue to drift away and transfer a little more prosperity to other parts of the world. Consider the social ramifications of fission and fusion power, supercomputers, data “highways,” abortion, radon, massive reductions in strategic weapons, addiction, government eavesdropping on the lives of its citizens, high-resolution TV, airline and airport safety, fetal tissue transplants, health costs, food additives, drugs to ameliorate mania or depression or schizophrenia, animal rights, superconductivity, morning-after pills, alleged hereditary antisocial predispositions, space stations, going to Mars, finding cures for AIDS and cancer. How can we affect national policy—or even make intelligent decisions in our own lives—if we don’t grasp the underlying issues? As I write, Congress is dissolving its own Office of Technology Assessment—the only organization specifically tasked to provide advice to the House and Senate on science and technology. Its competence and integrity over the years have been exemplary. Of the 535 members of the U.S. Congress, rarely in the twentieth century have as many as one percent had any significant background in science. The last scientifically literate President may have been Thomas Jefferson.* So how do Americans decide these matters? How do they instruct their representatives? Who in fact makes these decisions, and on what basis? —

If we look at the way an industrial producer creates new products, we see a long list of trials and errors and eventually improvement in quality at a lower cost. Urban policies and strategies, by contrast, often do not follow this logic; they are often repeated even when it is well known that they failed. For instance, policies like rent control, greenbelts, new light rail transports, among others, are constantly repeated in spite of a near consensus on their failure to achieve their objectives. A quantitative evaluation of the failure of these policies is usually well documented through special reports or academic papers; it is seldom produced internally by cities, however, and the information does not seem to reach urban decision makers. Only a systematic analysis of data through indicators allows urban policies to be improved over time and failing policies to be abandoned. But as Angus Deaton wrote: 'without data, anyone who does anything is free to claim success.

Imagine you're sitting having dinner in a restaurant. At some point during the meal, your companion leans over and whispers that they've spotted Lady Gaga eating at the table opposite. Before having a look for yourself, you'll no doubt have some sense of how much you believe your friends theory. You'll take into account all of your prior knowledge: perhaps the quality of the establishment, the distance you are from Gaga's home in Malibu, your friend's eyesight. That sort of thing. If pushed, it's a belief that you could put a number on. A probability of sorts. As you turn to look at the woman, you'll automatically use each piece of evidence in front of you to update your belief in your friend's hypothesis Perhaps the platinum-blonde hair is consistent with what you would expect from Gaga, so your belief goes up. But the fact that she's sitting on her own with no bodyguards isn't, so your belief goes down. The point is, each new observations adds to your overall assessment. This is all Bayes' theorem does: offers a systematic way to update your belief in a hypothesis on the basis of the evidence. It accepts that you can't ever be completely certain about the theory you are considering, but allows you to make a best guess from the information available. So, once you realize the woman at the table opposite is wearing a dress made of meat -- a fashion choice that you're unlikely to chance up on in the non-Gaga population -- that might be enough to tip your belief over the threshold and lead you to conclude that it is indeed Lady Gaga in the restaurant. But Bayes' theorem isn't just an equation for the way humans already make decisions. It's much more important that that. To quote Sharon Bertsch McGrayne, author of The Theory That Would Not Die: 'Bayes runs counter to the deeply held conviction that modern science requires objectivity and precision. By providing a mechanism to measure your belief in something, Bayes allows you to draw sensible conclusions from sketchy observations, from messy, incomplete and approximate data -- even from ignorance.

When we mix a practical ability to engineer minds with our ignorance of the mental spectrum and with the narrow interests of governments, armies and corporations, we get a recipe for trouble. We may successfully upgrade our bodies and our brains, while losing our minds in the process. Indeed, techno-humanism may end up downgrading humans. The system may prefer downgraded humans not because they would possess any superhuman knacks, but because they would lack some really disturbing human qualities that hamper the system and slow it down. As any farmer knows, it’s usually the brightest goat in the flock that stirs up the most trouble, which is why the Agricultural Revolution involved downgrading animals’ mental abilities. The second cognitive revolution, dreamed up by techno-humanists, might do the same to us, producing human cogs who communicate and process data far more effectively than ever before, but who can hardly pay attention, dream or doubt. For millions of years we were enhanced chimpanzees. In the future, we may become oversized ants.

Galileo's mechanical world was only a partial representation of a finite number of probable worlds, each peculiar to a particular living species; and all these worlds are but a portion of the infinite number of possible worlds that may have once existed or may yet exist. But anything like a single world, common to all species, at all times, under all circumstances, is a purely hypothetical construction, drawn by inference from pathetically insufficient data, prized for the assurance of stability and intelligibility it gives, even though that assurance turns out, under severe examination, to be just another illusion. A butterfly or a beetle, a fish or a fowl, a dog or a dolphin, would have a different report to give even about primary qualities, for each lives in a world conditioned by the needs and environmental opportunities open to his species. In the gray visual world of the dog, smells, near and distant, subtle or violently exciting, probably play the part that colors do in man's world-though in the primal occupation of eating, the dog's world and man's world would approach each other more closely.

There was little effort to conceal this method of doing business. It was common knowledge, from senior managers and heads of research and development to the people responsible for formulation and the clinical people. Essentially, Ranbaxy’s manufacturing standards boiled down to whatever the company could get away with. As Thakur knew from his years of training, a well-made drug is not one that passes its final test. Its quality must be assessed at each step of production and lies in all the data that accompanies it. Each of those test results, recorded along the way, helps to create an essential roadmap of quality. But because Ranbaxy was fixated on results, regulations and requirements were viewed with indifference. Good manufacturing practices were stop signs and inconvenient detours. So Ranbaxy was driving any way it chose to arrive at favorable results, then moving around road signs, rearranging traffic lights, and adjusting mileage after the fact. As the company’s head of analytical research would later tell an auditor: “It is not in Indian culture to record the data while we conduct our experiments.

Despite the advancements of systematic experimental pipelines, literature-curated protein-interaction data continue to be the primary data for investigation of focused biological mechanisms. Notwithstanding the variable quality of curated interactions available in public databases, the impact of inspection bias on the ability of literature maps to provide insightful information remains equivocal. The problems posed by inspection bias extend beyond mapping of protein interactions to the development of pharmacological agents and other aspects of modern biomedicine. Essentially the same 10% of the proteome is being investigated today as was being investigated before the announcement of completion of the reference genome sequence. One way forward, at least with regard to interactome mapping, is to continue the transition toward systematic and relatively unbiased experimental interactome mapping. With continued advancement of systematic protein-interaction mapping efforts, the expectation is that interactome 'deserts', the zones of the interactome space where biomedical knowledge researchers simply do not look for interactions owing to the lack of prior knowledge, might eventually become more populated. Efforts at mapping protein interactions will continue to be instrumental for furthering biomedical research.

A few years ago my friend Jon Brooks supplied this great illustration of skewed interpretation at work. Here’s how investors react to events when they’re feeling good about life (which usually means the market has been rising): Strong data: economy strengthening—stocks rally Weak data: Fed likely to ease—stocks rally Data as expected: low volatility—stocks rally Banks make $4 billion: business conditions favorable—stocks rally Banks lose $4 billion: bad news out of the way—stocks rally Oil spikes: growing global economy contributing to demand—stocks rally Oil drops: more purchasing power for the consumer—stocks rally Dollar plunges: great for exporters—stocks rally Dollar strengthens: great for companies that buy from abroad—stocks rally Inflation spikes: will cause assets to appreciate—stocks rally Inflation drops: improves quality of earnings—stocks rally Of course, the same behavior also applies in the opposite direction. When psychology is negative and markets have been falling for a while, everything is capable of being interpreted negatively. Strong economic data is seen as likely to make the Fed withdraw stimulus by raising interest rates, and weak data is taken to mean companies will have trouble meeting earnings forecasts. In other words, it’s not the data or events; it’s the interpretation. And that fluctuates with swings in psychology.

Many aspects of the modern financial system are designed to give an impression of overwhelming urgency: the endless ‘news’ feeds, the constantly changing screens of traders, the office lights blazing late into the night, the young analysts who find themselves required to work thirty hours at a stretch. But very little that happens in the finance sector has genuine need for this constant appearance of excitement and activity. Only its most boring part—the payments system—is an essential utility on whose continuous functioning the modern economy depends. No terrible consequence would follow if the stock market closed for a week (as it did in the wake of 9/11)—or longer, or if a merger were delayed or large investment project postponed for a few weeks, or if an initial public offering happened next month rather than this. The millisecond improvement in data transmission between New York and Chicago has no significance whatever outside the absurd world of computers trading with each other. The tight coupling is simply unnecessary: the perpetual flow of ‘information’ part of a game that traders play which has no wider relevance, the excessive hours worked by many employees a tournament in which individuals compete to display their alpha qualities in return for large prizes. The traditional bank manager’s culture of long lunches and afternoons on the golf course may have yielded more useful information about business than the Bloomberg terminal. Lehman

Again you must learn the point which comes next. Every circle, of those which are by the act of man drawn or even turned on a lathe, is full of that which is opposite to the fifth thing. For everywhere it has contact with the straight. But the circle itself, we say, has nothing in either smaller or greater, of that which is its opposite. We say also that the name is not a thing of permanence for any of them, and that nothing prevents the things now called round from being called straight, and the straight things round; for those who make changes and call things by opposite names, nothing will be less permanent (than a name). Again with regard to the definition, if it is made up of names and verbal forms, the same remark holds that there is no sufficiently durable permanence in it. And there is no end to the instances of the ambiguity from which each of the four suffers; but the greatest of them is that which we mentioned a little earlier, that, whereas there are two things, that which has real being, and that which is only a quality, when the soul is seeking to know, not the quality, but the essence, each of the four, presenting to the soul by word and in act that which it is not seeking (i.e., the quality), a thing open to refutation by the senses, being merely the thing presented to the soul in each particular case whether by statement or the act of showing, fills, one may say, every man with puzzlement and perplexity. [...] But in subjects where we try to compel a man to give a clear answer about the fifth, any one of those who are capable of overthrowing an antagonist gets the better of us, and makes the man, who gives an exposition in speech or writing or in replies to questions, appear to most of his hearers to know nothing of the things on which he is attempting to write or speak; for they are sometimes not aware that it is not the mind of the writer or speaker which is proved to be at fault, but the defective nature of each of the four instruments. The process however of dealing with all of these, as the mind moves up and down to each in turn, does after much effort give birth in a well-constituted mind to knowledge of that which is well constituted. [...] Therefore, if men are not by nature kinship allied to justice and all other things that are honourable, though they may be good at learning and remembering other knowledge of various kinds-or if they have the kinship but are slow learners and have no memory-none of all these will ever learn to the full the truth about virtue and vice. For both must be learnt together; and together also must be learnt, by complete and long continued study, as I said at the beginning, the true and the false about all that has real being. After much effort, as names, definitions, sights, and other data of sense, are brought into contact and friction one with another, in the course of scrutiny and kindly testing by men who proceed by question and answer without ill will, with a sudden flash there shines forth understanding about every problem, and an intelligence whose efforts reach the furthest limits of human powers. Therefore every man of worth, when dealing with matters of worth, will be far from exposing them to ill feeling and misunderstanding among men by committing them to writing. In one word, then, it may be known from this that, if one sees written treatises composed by anyone, either the laws of a lawgiver, or in any other form whatever, these are not for that man the things of most worth, if he is a man of worth, but that his treasures are laid up in the fairest spot that he possesses. But if these things were worked at by him as things of real worth, and committed to writing, then surely, not gods, but men "have themselves bereft him of his wits".

..."facts" properly speaking are always and never more than interpretations of the data... the Gospel accounts are themselves such data or, if you like, hard facts. But the events to which the Gospels refer are not themselves "hard facts"; they are facts only in the sense that we interpret the text, together with such other data as we have, to reach a conclusion regarding the events as best we are able. They are facts in the same way that the verdict of a jury establishes the facts of the case, the interpretation of the evidence that results in the verdict delivered. Here it is as well to remember that historical methodology can only produce probabilities, the probability that some event took place in such circumstances being greater or smaller, depending on the quality of the data and the perspective of the historical enquirer. The jury which decides what is beyond reasonable doubt is determining that the probability is sufficiently high for a clear-cut verdict to be delivered. Those who like "certainty" in matters of faith will always find this uncomfortable. But faith is not knowledge of "hard facts"...; it is rather confidence, assurance, trust in the reliability of the data and in the integrity of the interpretations derived from that data... It does seem important to me that those who speak for evangelical Christians grasp this nettle firmly, even if it stings! – it is important for the intellectual integrity of evangelicals. Of course any Christian (and particularly evangelical Christians) will want to get as close as possible to the Jesus who ministered in Galilee in the late 20s of the first century. If, as they believe, God spoke in and through that man, more definitively and finally than at any other time and by any other medium, then of course Christians will want to hear as clearly as possible what he said, and to see as clearly as possible what he did, to come as close as possible to being an eyewitness and earwitness for themselves. If God revealed himself most definitively in the historical particularity of a Galilean Jew in the earliest decades of the Common Era, then naturally those who believe this will want to inquire as closely into the historical particularity and actuality of that life and of Jesus’ mission. The possibility that later faith has in some degree covered over that historical actuality cannot be dismissed as out of the question. So a genuinely critical historical inquiry is necessary if we are to get as close to the historical actuality as possible. Critical here, and this is the point, should not be taken to mean negatively critical, hermeneutical suspicion, dismissal of any material that has overtones of Easter faith. It means, more straightforwardly, a careful scrutiny of all the relevant data to gain as accurate or as historically responsible a picture as possible. In a day when evangelical, and even Christian, is often identified with a strongly right-wing, conservative and even fundamentalist attitude to the Bible, it is important that responsible evangelical scholars defend and advocate such critical historical inquiry and that their work display its positive outcome and benefits. These include believers growing in maturity • to recognize gray areas and questions to which no clear-cut answer can be given (‘we see in a mirror dimly/a poor reflection’), • to discern what really matters and distinguish them from issues that matter little, • and be able to engage in genuine dialogue with those who share or respect a faith inquiring after truth and seeking deeper understanding. In that way we may hope that evangelical (not to mention Christian) can again become a label that men and women of integrity and good will can respect and hope to learn from more than most seem to do today.

This extreme situation in which all data is processed and all decisions are made by a single central processor is called communism. In a communist economy, people allegedly work according to their abilities, and receive according to their needs. In other words, the government takes 100 per cent of your profits, decides what you need and then supplies these needs. Though no country ever realised this scheme in its extreme form, the Soviet Union and its satellites came as close as they could. They abandoned the principle of distributed data processing, and switched to a model of centralised data processing. All information from throughout the Soviet Union flowed to a single location in Moscow, where all the important decisions were made. Producers and consumers could not communicate directly, and had to obey government orders. For instance, the Soviet economics ministry might decide that the price of bread in all shops should be exactly two roubles and four kopeks, that a particular kolkhoz in the Odessa oblast should switch from growing wheat to raising chickens, and that the Red October bakery in Moscow should produce 3.5 million loaves of bread per day, and not a single loaf more. Meanwhile the Soviet science ministry forced all Soviet biotech laboratories to adopt the theories of Trofim Lysenko – the infamous head of the Lenin Academy for Agricultural Sciences. Lysenko rejected the dominant genetic theories of his day. He insisted that if an organism acquired some new trait during its lifetime, this quality could pass directly to its descendants. This idea flew in the face of Darwinian orthodoxy, but it dovetailed nicely with communist educational principles. It implied that if you could train wheat plants to withstand cold weather, their progenies will also be cold-resistant. Lysenko accordingly sent billions of counter-revolutionary wheat plants to be re-educated in Siberia – and the Soviet Union was soon forced to import more and more flour from the United States.

As Graedon scrutinized the FDA’s standards for bioequivalence and the data that companies had to submit, he found that generics were much less equivalent than commonly assumed. The FDA’s statistical formula that defined bioequivalence as a range—a generic drug’s concentration in the blood could not fall below 80 percent or rise above 125 percent of the brand name’s concentration, using a 90 percent confidence interval—still allowed for a potential outside range of 45 percent among generics labeled as being the same. Patients getting switched from one generic to another might be on the low end one day, the high end the next. The FDA allowed drug companies to use different additional ingredients, known as excipients, that could be of lower quality. Those differences could affect a drug’s bioavailability, the amount of drug potentially absorbed into the bloodstream. But there was another problem that really drew Graedon’s attention. Generic drug companies submitted the results of patients’ blood tests in the form of bioequivalence curves. The graphs consisted of a vertical axis called Cmax, which mapped the maximum concentration of drug in the blood, and a horizontal axis called Tmax, the time to maximum concentration. The resulting curve looked like an upside-down U. The FDA was using the highest point on that curve, peak drug concentration, to assess the rate of absorption into the blood. But peak drug concentration, the point at which the blood had absorbed the largest amount of drug, was a single number at one point in time. The FDA was using that point as a stand-in for “rate of absorption.” So long as the generic hit a similar peak of drug concentration in the blood as the brand name, it could be deemed bioequivalent, even if the two curves reflecting the time to that peak looked totally different. Two different curves indicated two entirely different experiences in the body, Graedon realized. The measurement of time to maximum concentration, the horizontal axis, was crucial for time-release drugs, which had not been widely available when the FDA first created its bioequivalence standard in 1992. That standard had not been meaningfully updated since then. “The time to Tmax can vary all over the place and they don’t give a damn,” Graedon emailed a reporter. That “seems pretty bizarre to us.” Though the FDA asserted that it wouldn’t approve generics with “clinically significant” differences in release rates, the agency didn’t disclose data filed by the companies, so it was impossible to know how dramatic the differences were.

Experiment: To replace negative character labels, try the following steps: 1. Pick a new, positive character label that you would prefer. For example, if your old belief is “I’m incompetent,” you would likely pick “I’m competent.” 2. Rate how much you currently believe the old negative character label on a scale of 0 (= I don’t believe it at all) to 100 (= I believe it completely). Do the same for the new positive belief. For example, you might say you believe “I’m incompetent” at level 95 and believe “I’m competent” at level 10 (the numbers don’t need to add up to 100). 3. Create a Positive Data Log and a Historical Data Log. Strengthening your new, positive character label is often a more helpful approach than attempting to hack away at the old, negative one. I’m going to give you two experiments that will help you do this. Positive Data Log. For two weeks, commit to writing down evidence that supports your new, positive character belief. For example, if you are trying to boost your belief in the thought “I’m competent” and you show up to an appointment on time, you can write that down as evidence. Don’t fall into the cognitive trap of discounting some of the evidence. For example, if you make a mistake and then sort it out, it’s evidence of competence, not incompetence, so you could put that in your Positive Data Log. Historical Data Log. This log looks back at periods of your life and finds evidence from those time periods that supports your positive character belief. This experiment helps people believe that the positive character quality represents part of their enduring nature. To do this experiment, split your life into whatever size chunks you want to split it into, such as four- to six-year periods. If you’re only in your 20s, then you might choose three- or four-year periods. To continue the prior example, if you’re working on the belief “I’m competent,” then evidence from childhood might be things like learning to walk, talk, or make friends. You figured these things out. From your teen years, your evidence of general competency at life might be getting your driver’s license (yes, on the third try still counts). Evidence from your early college years could be things like successfully choosing a major and passing your courses. Evidence for after you finished your formal education might be related to finding work to support yourself and finding housing. You should include evidence in the social domain, like finding someone you wanted to date or figuring out how to break up with someone when you realized that relationship wasn’t the right fit for you. The general idea is to prove to yourself that “I’m competent” is more true than “I’m incompetent.” Other positive character beliefs you might try to strengthen could be things like “I’m strong” (not weak), “I’m worthy of love” (not unlovable), and “I’m worthy of respect” (not worthless). Sometimes the flipside of a negative character belief is obvious, as in the case of strong/weak, but sometimes there are a couple of possible options that could be considered opposites; in this case, you can choose. 4. Rerate how much you believe the negative and positive character labels. There should have been a little bit of change as a result of doing the data logs. For example, you might bow believe “I’m incompetent” at only 50 instead of 95, and believe “I’m competent” at 60 instead of 10. You’ve probably had your negative character belief for a long time, so changing it isn’t like making a pack of instant noodles.

The most important scientific concept is that an assertion is often an empirical question, settled by collecting evidence. The plural of anecdote is not data, and the plural of opinion is not facts. Quality peer-reviewed scientific evidence accumulates into knowledge. People’s stories are stories, and fiction keeps us going. But science should settle policy.

Since Ivy League admissions data is a notoriously classified commodity, when when Harvard officials said in previous years that alumni kids were just better, you had to take their word. But then federal investigators came along and pried open those top-secret files. The Harvard guys were lying. This past fall, after two years of study, the U.S. Department of Education's Office for Civil Rights (OCR) found that, far from being more qualified or equally qualified, the average admitted legacy at Harvard between 1981 and 1988 was significantly LESS qualified than the average admitted nonlegacy. Examining admissions office ratings on academics, extracurriculars, personal qualities, recommendations, and other categories, the OCR concluded that "with the exception of the athletic rating, [admitted] nonlegacies scored better than legacies in ALL areas of comparison." In his recent book, "Preferential Policies", Thomas Sowell argues that doling out special treatment encourages lackluster performance by the favored and resentment from the spurned. His far-ranging study flits from Malaysia to South Africa to American college campuses. Legacies don't merit a word.

The fundamental problem in the U.S. health care system is that the structure of health care delivery is broken. This is what all the data about rising costs and alarming quality are telling us. And the structure of health care delivery is broken because competition is broken. All of the well-intended reform movements have failed because they did not address the underlying nature of competition.

The reasons for cooperatives’ success should be obvious by now, but they are worth reiterating: “The major basis for cooperative success…has been superior labor productivity. Studies comparing square-foot output have repeatedly shown higher physical volume of output per hour, and others…show higher quality of product and also economy of material use.”118 Hendrik Thomas concludes from an analysis of Mondragon that “Productivity and profitability are higher for cooperatives than for capitalist firms. It makes little difference whether the Mondragon group is compared with the largest 500 companies, or with small- or medium-scale industries; in both comparisons the Mondragon group is more productive and more profitable.”119 As we have seen, recent research has arrived at the same conclusions. It is a truism by now that worker participation tends to increase productivity and profitability. Research conducted by Henk Thomas and Chris Logan corroborates these conclusions. “A frequent but unfounded criticism,” they observe, “of self-managed firms is that workers prefer to enjoy a high take-home pay rather than to invest in their own enterprises. This has been proven invalid…in the Mondragon case… A comparison of gross investment figures shows that the cooperatives invest on average four times as much as private enterprises.” After a detailed analysis they also conclude that “there can be no doubt that the [Mondragon] cooperatives have been more profitable than capitalist enterprises.”120 Recent data indicate the same thing.121 One particularly successful company, Irizar, which was mentioned earlier, has been awarded prizes for being the most efficient company in its sector; in Spain it has ten competitors, but its market share is 40 percent. The same level of achievement is true of its subsidiaries, for instance in Mexico, where it had a 45 percent market share in 2005, six years after entering the market. An author comments that “the basis for this increased efficiency appears to be linked directly to the organization’s unique participatory and democratic management structure.”122 A major reason for all these successes is Mondragon’s federated structure: the group of cooperatives has its own supply of banking, education, and technical support services. The enormous funds of the central credit union, the Caja Laboral Popular, have likewise been crucial to Mondragon’s expansion. It proves that if cooperatives have access to credit they are perfectly capable of being far more successful than private enterprises.

The art of medicine is being crowded out by the science of medicine—and its emphasis on evidence-based procedures, well-meaning protocols, and advances in Big-Health-Data-churning information technology. And it’s being squeezed out by the business of medicine—and its focus on time-consuming but questionable quality metrics, endless billing procedures, and an adherence to process that doesn’t necessarily put patients first. Put another way, the science and business of medicine have combined with a superficial focus on things like hospital gowns to essentially act like a Quentin Tarantino character going “medieval” on the art of medicine. But perhaps I understate.

We may now take a survey of the sources of our knowledge, as they have appeared in the course of our analysis. We have first to distinguish knowledge of things and knowledge of truths. In each there are two kinds, one immediate and one derivative. Our immediate knowledge of things, which we called acquaintance, consists of two sorts, according as the things known are particulars or universals. Among particulars, we have acquaintance with sense-data and (probably) with ourselves. Among universals, there seems to be no principle by which we can decide which can be known by acquaintance, but it is clear that among those that can be so known are sensible qualities, relations of space and time, similarity, and certain abstract logical universals. Our derivative knowledge of things, which we call knowledge by description, always involves both acquaintance with something and knowledge of truths. Our immediate knowledge of truths may be called intuitive knowledge, and the truths so known may be called self-evident truths. Among such truths are included those which merely state what is given in sense, and also certain abstract logical and arithmetical principles, and (though with less certainty) some ethical propositions. Our derivative knowledge of truths consists of everything that we can deduce from self-evident truths by the use of self-evident principles of deduction. If the above account is correct, all our knowledge of truths depends upon our intuitive knowledge.

Gud Mould Industry Co., Ltd. is a professional manufacturer of plastic injection moulds and die-casting moulds. Founded in 2007, Gud Mould Industry Co., Ltd. covers an area of 7000 square meters and has more than 100 experienced staffs, of which more than 30 with years of experience in plastic engineering and die-casting. To meet customers' higher requirements for product quality and greater demand for mould production, we constantly introduce advanced equipment, technology and talents at home and abroad to enhance our production means and technical support, constantly expand processing area to increase our production capacity. At present, Gud Mould has a large number of international advanced CNC machining centers, EDM, WEDM, milling machines, tool grinders and other precision die and mould processing equipment; imported spectrometers, metallographic analyzers, water capacity detectors, coordinate detectors, gauges and other international advanced detection equipment and instruments. Gud Mould's die design and production all realize computerization, apply International advanced AutoCAD, Pro/E, UG, Cimatron, MASTERCAM, etc. File of IGS, DXF, STP, PORASLD and so on are acceptable here. After receiving drawings and data from customers, engineers of Gud Mould design and program first. Manufacture, produce and inspect them strictly according to the drawings of mould engineering. All manufacturing processes realize digitalization of drawings, so as to ensure stability of high precision and high quality of dies. All materials of die are made of high quality steel and precision standard die base, which ensures service performance and life of die. In line with principle of customer first, we provide the best quality, delivery date, quality service and reasonable price, absolutely guarantee interests of customers, and provide confidentiality commitment to all technical information of customers. Gud Mould Industry Co., Ltd. has always adhered to business philosophy of "people-oriented, quality first", and has been making progress and developing steadily. Although Gud Mould is medium-sized, it has been recognized by well-known domestic enterprises such as Chang'an, Changfei, Hafei, Lifan, Ford in China, and has established a good reputation among domestic customers. In 2018, we set up overseas department, which mainly develops overseas markets. We sincerely welcome you to visit our company and expand your business!

Many of today's personal computers are equipped with optical drives for storing and retrieving data on compact discs (CDs) or digital versatile disks (DVDs) that can be removed from the drive. A CD is a silvery plastic platter on which a laser records data as a sequence of tiny pits in a spiral track on one side of the disk. One CD can hold 680 MB of data. A DVD uses smaller pits packed in a tighter spiral. Some Blu-ray disks (high-density optical disks read with a blue-violet laser) can hold multiple layers of data-for a total capacity of 200GB, sufficient storage for many hours of studio-quality video and multi-channel audio.

Carl Anderson and his colleagues have discussed several advantages and disadvantages of a chain transport of harvest to nests, as in Atta vollenweideri, where the last carriers cover the longest distance.73 The researchers argue that such task partitioning can be expected to enhance the work efficiency of individuals, because workers are more likely to become specialists when deployed sequentially. As a consequence, the colony’s overall rate of resource retrieval should be higher. But again, the empirical data do not entirely support these theoretical considerations. Finally, Jacqueline Röschard and Flavio Roces have proposed a second hypothesis: that the transport chains of Atta vollenweideri accelerate transfer of information about the plant species and food quality of the harvest.74 They argue that the dropping of fragments on the trail allows cutting workers to quickly return to their tasks.

Smart entrepreneurs have grabbed this opportunity with a vengeance. Now online lesson-plan marketplaces such as Gooru Learning, Teachers Pay Teachers, and Share My Lesson allow teachers who want to devote more of their time to other tasks the ability to purchase high-quality (and many lesser-quality) lesson plans, ready to go. With sensors, data, and A.I., we can begin, even today, testing for the learning efficacy of different lectures, styles, and more. And, because humans do a poor job of incorporating massive amounts of information to make iterative decisions, in the very near future, computers will start doing more and more of the lesson planning. They will write the basic lessons and learn what works and what doesn’t for specific students. Creative teachers will continue, though, to be incredibly valuable: they will learn how to steer and curate algorithmic and heuristically updated lesson creation in ways that computers could not necessarily imagine. All of this is, of course, a somewhat bittersweet development. Teaching is an idealistic profession. You probably remember a special teacher who shaped your life, encouraged your interests, and made school exciting. The movies and pop culture are filled with paeans to unselfish, underpaid teachers fighting the good fight and helping their charges. But it is becoming clearer that teaching, like many other white-collar jobs that have resisted robots, is something that robots can do—possibly, in structured curricula, better than humans can. The

And the data on everything from air quality to commodity prices to levels of violence show improvement over time.

Americans are accustomed to an instantaneous feedback loop, and have little patience with a product that doesn’t come to life immediately. An American tourist traveling abroad who switches on a Bang & Olufsen television in his hotel room will likely perceive the set as broken, not realizing it takes roughly seven seconds to turn on. Apple is one company that has solved this issue smartly. When a consumer powers on an iPhone, the silvery Apple logo appears, alerting users that the phone is on. Knowing the phone works, a consumer is happy to wait an additional 30 seconds before the phone is officially ready for use. I have no doubt that Apple engineers could tinker with the insides to make the phone turn on more quickly. Instead, they’ve designed the iPhone to give users both instant gratification and a sense of anticipation, which they interpret to mean that the phone is both technologically sophisticated and high quality

Input quality data, output quality performance.

You will not be able to understand the performance of your company without good quality data to measure it.

In order to construct a flawless imitation, the first step was to gather as much video data as possible with a web crawler. His ideal targets were fashionable Yoruba girls, with their brightly colored V-neck buba and iro that wrapped around their waists, hair bundled up in gele. Preferably, their videos were taken in their bedrooms with bright, stable lighting, their expressions vivid and exaggerated, so that AI could extract as many still-frame images as possible. The object data set was paired with another set of Amaka’s own face under different lighting, from multiple angles and with alternative expressions, automatically generated by his smartstream. Then, he uploaded both data sets to the cloud and got to work with a hyper-generative adversarial network. A few hours or days later, the result was a DeepMask model. By applying this “mask,” woven from algorithms, to videos, he could become the girl he had created from bits, and to the naked eye, his fake was indistinguishable from the real thing. If his Internet speed allowed, he could also swap faces in real time to spice up the fun. Of course, more fun meant more work. For real-time deception to work, he had to simultaneously translate English or Igbo into Yoruba, and use transVoice to imitate the voice of a Yoruba girl and a lip sync open-source toolkit to generate corresponding lip movement. If the person on the other end of the chat had paid for a high-quality anti-fake detector, however, the app might automatically detect anomalies in the video, marking them with red translucent square warnings

Exponential Growth in Storage Consider data storage, which is critical for the genomics world today. The 3.2 billion base pairs of your genome correspond to about 725 megabytes of data, or 0.75 gigabytes of storage. In 1981, if you were to store your uncompressed genome, a 1-gigabyte hard drive of storage cost half a million dollars. Today, it’s 50 million times cheaper at under 1 cent per gigabyte.

Cleaning data in the analytics value chain violates the third of quality guru W. Edwards Deming’s 14 principles19 of business transformation: Cease dependence on inspection to achieve quality. Eliminate the need for massive inspection by building quality into the product in the first place. Rather than inspecting cars at the end of an assembly line and scrapping the ones that fail, it makes much better sense to design quality into the process and build high-quality cars. Similarly, it is much smarter to build data quality directly into the source systems that generate data than it is to trap and correct errors farther down the chain.

The great majority of men in cities are apt to pride themselves on their own exemption from ‘superstition’, and to smile pityingly at the poor countrymen and countrywomen who believe in fairies. But when they do so they forget that, with all their own admirable progress in material invention, with all the far-reaching data of their acquired science, with all the vast extent of their commercial and economic conquests, they themselves have ceased to be natural. Wherever under modern conditions great multitudes of men and women are herded together there is bound to be an unhealthy psychical atmosphere never found in the country—an atmosphere which inevitably tends to develop in the average man who is not psychically strong enough to resist it, lower at the expense of higher forces or qualities, and thus to inhibit any normal attempts of the Subliminal Self (a well-accredited psychological entity) to manifest itself in consciousness.

Learning Plan Template Before Entry Find out whatever you can about the organization’s strategy, structure, performance, and people. Look for external assessments of the performance of the organization. You will learn how knowledgeable, fairly unbiased people view it. If you are a manager at a lower level, talk to people who deal with your new group as suppliers or customers. Find external observers who know the organization well, including former employees, recent retirees, and people who have transacted business with the organization. Ask these people open-ended questions about history, politics, and culture. Talk with your predecessor if possible. Talk to your new boss. As you begin to learn about the organization, write down your first impressions and eventually some hypotheses. Compile an initial set of questions to guide your structured inquiry after you arrive. Soon After Entry Review detailed operating plans, performance data, and personnel data. Meet one-on-one with your direct reports and ask them the questions you compiled. You will learn about convergent and divergent views and about your reports as people. Assess how things are going at key interfaces. You will hear how salespeople, purchasing agents, customer service representatives, and others perceive your organization’s dealings with external constituencies. You will also learn about problems they see that others do not. Test strategic alignment from the top down. Ask people at the top what the company’s vision and strategy are. Then see how far down into the organizational hierarchy those beliefs penetrate. You will learn how well the previous leader drove vision and strategy down through the organization. Test awareness of challenges and opportunities from the bottom up. Start by asking frontline people how they view the company’s challenges and opportunities. Then work your way up. You will learn how well the people at the top check the pulse of the organization. Update your questions and hypotheses. Meet with your boss to discuss your hypotheses and findings. By the End of the First Month Gather your team to feed back to them your preliminary findings. You will elicit confirmation and challenges of your assessments and will learn more about the group and its dynamics. Now analyze key interfaces from the outside in. You will learn how people on the outside (suppliers, customers, distributors, and others) perceive your organization and its strengths and weaknesses. Analyze a couple of key processes. Convene representatives of the responsible groups to map out and evaluate the processes you selected. You will learn about productivity, quality, and reliability. Meet with key integrators. You will learn how things work at interfaces among functional areas. What problems do they perceive that others do not? Seek out the natural historians. They can fill you in on the history, culture, and politics of the organization, and they are also potential allies and influencers. Update your questions and hypotheses. Meet with your boss again to discuss your observations.

There is objective and subjective data in your story. It’s possible to identify, compile, and process that data to gain insight on how you can apply the science of quality management to your career.

Our new care pathways were effective because they were led by physicians, enabled by real-time data-based feedback, and primarily focused on improving the quality of patient care,” which “fundamentally motivated our physicians to change their behavior.” Crucial too was the fact that “the men and women who actually work in the service lines themselves chose which care processes to change. Involving them directly in decision making secured their buy-in and made success more likely.” What we can learn from the Geisinger example is the importance of having providers develop and monitor performance measures. The fact that the measures were in keeping with their own professional sense of mission was crucial.

Die-Face Analysis In the 1930s, J. B. Rhine and his colleagues recognized and took into account the possibility that some dice studies may have been flawed because the probabilities of die faces are not equal. With some dice, it is slightly more likely that one will roll a 6 face than a 1 face because the die faces are marked by scooping out bits of material. The 6 face, for example, has six scoops removed from the surface of that side of the die, so it has slightly less mass than the other die faces. On any random toss, that tiny difference in mass will make the 6 slightly more likely to land face up, followed in decreasing probability by the 5, 4, 3, 2, and 1 faces. Thus, an experiment that relied exclusively upon the 6 face as the target may have been flawed because, unless there were also control tosses with no mental intention applied, we could not tell whether above-chance results were due to a mind-matter interaction or to the slightly higher probability of rolling a 6. To see whether this bias was present in these dice studies, we sifted out all reports for which the published data allowed us to calculate the effective hit rate separately for each of the six die faces used under experimental and control conditions. In fact, the suspected biases were found, as shown in figure 8.3. The hit rates for both experimental and control tosses tended to increase from die faces 1 to 6. However, most of the experimental hit rates were also larger than the corresponding control hit rates, suggested some thing interesting beyond the artifacts caused by die-face biases. For example, for die face 6 the experimental condition was significantly larger than the control with odds against chance of five thousand to one. Figure 8.3. Relationship between die face and hit rates for experimental and control conditions. The error bars are 65 percent confidence intervals. Because of the evidence that the die faces were slightly biased, we examined a subset of studies that controlled for these dice biases—studies using design protocols where die faces were equally distributed among the six targets. We referred to such studies as the “balanced-protocol subset.” Sixty-nine experiments met the balanced-protocol criteria. Our examination of those experiments resulted in three notable points: there was still highly significant evidence for mind-matter interaction, with odds against chance of greater than a trillion to one; the effects were constant across different measures of experimental quality; and the selective-reporting “file drawer” required a twenty-to-one ratio of unretrieved, nonsignificant studies for each observed study. Thus chance, quality, and selective reporting could not explain away the results. Dice Conclusions Our meta-analysis findings led us to conclude that a genuine mind-matter interaction did exist with experiments testing tossed dice. The effect had been successfully replicated in more than a hundred experiments by more than fifty investigators for more than a half-century.

The IOM urges Congress to pass legislation extending peer review protections to data related to patient safety and quality improvement that are collected and analyzed by healthcare organizations for purposes of improving safety and quality. (We all agreed this was essential if we were ever to get people to talk about error in the current litigious environment.)

TalkBox made its first mistake a few months into launching. In 2011, most people were still relying on 2G in mainland China. The most popular data package in China was 30 megabytes for about 80 cents. The novice founders, thinking 3G would soon dawn upon the country, decided to opt for voice quality instead of speed. They were wrong; the faster network didn’t roll out fully until 2013, missing their estimate by a year. WeChat chose the reverse and soon started picking up momentum. A TalkBox message for one minute used up more than a tenth of one megabyte every time. With only thirty megabytes in their data packages, many users were reluctant to send voice messages using TalkBox. WeChat, on the other hand, only required a fifteenth of TalkBox’s. Herein lies an important lesson that wizened startup founders the world over swear by. Timing is everything – come up with an idea too late and you miss the wave, yet roll out something too early and people will deem your product useless. The same happened with food-delivery and restaurant group discounts during the desktop era. They never took off.

At Castle Surveys Ltd, we understand the importance of accurate and reliable surveying data. We are dedicated to providing the highest quality service in everything we do, from Google/Bing Topographic Land Surveys to Measured Building Surveys.

Provenance, a UK-based startup, advertises that it is using blockchain technology to “[b]ring to life the information and stories behind your business and products” so as to “[t]rack unique batches of products with verified claims from origin to consumer.” Walmart is working with IBM and Tsinghua University in Beijing to follow the movement of pork in China via a blockchain. Mining giant BHP Billiton is using the technology to track minerals analysis done by outside vendors. The startup Everledger has uploaded unique identifying data on a million individual diamonds to a blockchain ledger system to build quality assurances and help jewelers comply with regulations barring “blood diamond” products.

So you may not want to institute a fasting process during chemotherapy as that fasting could induce autophagy and allow your cancer to hibernate and then return stronger. However, after cancer, you do want to try intermittent fasting or time-restricted feeding, as early data imply that these simple, side-effect-free, no-medication-involved practices can help you regain impaired functions and experience better quality of life as a cancer survivor.

parenting matters. Much more consistent than any of the associations in these studies is the association between parenting and child outcomes. Having books in your house and reading them to your kid is going to matter much more than what books they have at day care. This seems to be true even though your child probably spends as many waking hours with their care providers as with you. I don’t think we know precisely why this is the case, although it may be that you as the parent are the most consistent influence your child has. Second, childcare quality matters much more than which type of childcare you have. A high-quality day care is likely to be better than a low-quality nanny, and vice versa.

Understanding consumer preferences, market trends, and business opportunities all depend on market research. However, a nuanced approach is required when conducting market research survey in Myanmar. Participation in surveys and the quality of the data can be significantly influenced by cultural norms, beliefs, and practices. The challenges and opportunities of conducting surveys in this one-of-a-kind cultural landscape are brought to light in this article, which examines the intricate connection between culture and market research in Myanmar. Researchers can gain valuable insights for informed decision-making and successful market strategies by comprehending and adapting to Myanmar's cultural nuances. Introduction to market research survey in Myanmar is a country with a lot of culture and tradition that makes it a special place to conduct market research. Understanding the cultural nuances that influence survey participation is essential for businesses trying to comprehend consumer preferences and behaviors in this diverse market. An Overview of Myanmar's Market Research Landscape Market research is rapidly evolving in Myanmar in tandem with the country's economic expansion. In order to gain useful insights from surveys, it is necessary to have a comprehensive comprehension of the cultural dynamics of a population with a wide range of languages and ethnic groups. Understanding How Culture Affects Survey Participation Culture has a big impact on how people respond to market research surveys. Survey response rates can be influenced by interpersonal dynamics, social norms, and traditional beliefs in Myanmar. Cultural Factors That Affect Survey Response Rates People's responses to surveys can be influenced by factors like respect for authority, communal decision-making, and communication styles. The key to maximizing survey participation is recognizing and adapting to these cultural differences. The willingness of respondents to participate in surveys can be influenced by traditional beliefs and practices like face-saving behaviors, hierarchical structures, and superstitions. Researchers can create survey environments that are conducive to honest and valuable feedback by recognizing and respecting these traditional beliefs. Tailoring Survey Designs to Match Cultural Preferences in Myanmar To guarantee the success of market research surveys in Myanmar, survey designs must be adapted to match cultural norms and preferences. In addition to increasing respondent engagement, this strategy encourages inclusivity and a respect for local customs. Adjusting Poll Arrangement for Social Awareness From the language utilized in study inquiries to the visual plan of overview materials, social responsiveness ought to be a core value in forming review surveys. Researchers can increase respondent trust and openness by avoiding potential taboos and including references that are culturally relevant. Respecting local customs, such as greeting rituals, gift-giving practices, and preferred modes of communication, can increase respondents' willingness to participate in surveys by incorporating them into the design of the survey. Researchers can create a more engaging and culturally appropriate research experience by incorporating these elements into survey design. Overcoming Language Barriers in Market Research Surveys Myanmar's language diversity makes conducting market research surveys a significant challenge. Language barriers must be overcome and multilingual survey administration must be promoted in order to ensure effective communication and data collection. Challenges of Myanmar's Language Diversity With over 100 languages spoken there, language barriers can make it hard to take surveys and understand them. Utilizing survey materials that are suitable for a particular language and, if necessary, the services of an interpreter, researchers must overcome these obstacles. The use of bilingual survey

1. Understanding Myanmar's Market Research: The Function of AMT Market Research In the rapidly changing economic landscape of Myanmar, businesses are increasingly recognizing the significance of making well-informed decisions based on complete market insights. One of the central members driving this development is AMT Statistical surveying, a main market research survey in Myanmar which has laid out its presence in Myanmar. With a populace of more than 54 million, Myanmar is a country wealthy in assets and potential. Be that as it may, its market is perplexing, impacted by a heap of elements like social variety, monetary vacillations, and administrative changes. Organizations need accurate data and insights to effectively navigate this complexity, and AMT Market Research meets this need. AMT Market Research has established itself as one of the best market research firms by employing cutting-edge techniques tailored to Myanmar's particular landscape. They use a combination of qualitative and quantitative research methods to get a complete picture of the market. From buyer conduct investigation to cutthroat scene appraisals, AMT gives priceless bits of knowledge that assist organizations with pursuing informed vital choices. market research survey in Myanmar is one of AMT's most distinctive methods. AMT enables businesses to comprehend preferences, purchasing habits, and emerging trends by directly engaging with customers and gathering firsthand feedback. Businesses can strategically tailor their offerings thanks to this grassroots approach, which not only reveals what consumers want but also identifies market gaps. AMT' market research survey in Myanmar, on top of that, are designed to be comprehensive yet effective. They use a combination of online surveys, focus groups, and in-person interviews to get responses from a wide range of people from different demographic groups. By collecting data in a variety of ways, businesses can reach a wider audience while also focusing on specific markets. It is essential to have an understanding of socioeconomic factors in a market that is still in its infancy. In their surveys, AMT Market Research emphasizes the significance of demographic insights. They assist businesses in developing targeted marketing strategies that resonate with their intended audience by taking into account variables such as education levels, income levels, and regional differences. This scientific thoroughness guarantees that suggestions are information driven as well as mirror the social and monetary real factors of the customers. Another thing that sets it apart is the company's dedication to conducting research in an ethical manner. AMT Market Research's core values of honesty, integrity, and dependability help to build trust with clients and respondents alike. Organizations can feel sure that the bits of knowledge gave are precise as well as gathered with deference for members' privileges and information security. The demand for high-quality market research will only grow as the economy of Myanmar continues to mature and the market attracts more attention from around the world. AMT Market Research positions itself as a crucial partner for businesses looking to enter or expand into the Myanmar market and is prepared to meet this demand. They are at the forefront of this ever-evolving sector because of their expertise and local knowledge. In conclusion, AMT Market Research provides essential tools and insights that can aid in strategic planning and execution for businesses trying to navigate the complexities of Myanmar's market. They play a crucial role in shaping the future of businesses in Myanmar through their commitment to ethical practices and comprehensive market research surveys. Associations looking for development ought to think about utilizing AMT's ability to open the potential inside this promising business sector.

Social networks like Facebook seem impelled by a similar aspiration. Through the statistical "discovery" of potential friends, the provision of "Like" buttons and other clickable tokens of affection, and the automated management of many of the time-consuming aspects of personal relations, they seek to streamline the messy process of affiliation. Facebook's founder, Mark Zuckerberg, celebrates all of this as "frictionless sharing"--the removal of conscious effort from socializing. But there's something repugnant about applying the bureaucratic ideals of speed, productivity, and standardization to our relations with others. The most meaningful bonds aren't forged through transactions in a marketplace or other routinized exchanges of data. People aren't notes on a network grid. The bonds require trust and courtesy and sacrifice, all of which, at least to a technocrat's mind, are sources of inefficiency and inconvenience. Removing the friction from social attachments doesn't strengthen them; it weakens them. It makes them more like the attachments between consumers and products--easily formed and just as easily broken. Like meddlesome parents who never let their kids do anything on their own, Google, Facebook, and other makers of personal software end up demeaning and diminishing qualities of character that, at least in the past, have been seen as essential to a full and vigorous life: ingenuity, curiosity, independence, perseverance, daring. It may be that in the future we'll only experience such virtues vicariously, though the exploits of action figures like John Marston in the fantasy worlds we enter through screens.

there is little empirical data on the effectiveness of foster parent training programs” (Dorsey, et al., 2008, p. 1405).  There is no evidence that training for foster parents impacts the type or quality of care that they provide to children in their home.

Class Quality Abstract Data Types Have you thought of the classes in your program as abstract data types and evaluated their interfaces from that point of view? Abstraction Does the class have a central purpose? Is the class well named, and does its name describe its central purpose? Does the class's interface present a consistent abstraction? Does the class's interface make obvious how you should use the class? Is the class's interface abstract enough that you don't have to think about how its services are implemented? Can you treat the class as a black box? Are the class's services complete enough that other classes don't have to meddle with its internal data? Has unrelated information been moved out of the class? Have you thought about subdividing the class into component classes, and have you subdivided it as much as you can? Are you preserving the integrity of the class's interface as you modify the class? Encapsulation Does the class minimize accessibility to its members? Does the class avoid exposing member data? Does the class hide its implementation details from other classes as much as the programming language permits? Does the class avoid making assumptions about its users, including its derived classes? Is the class independent of other classes? Is it loosely coupled? Inheritance Is inheritance used only to model "is a" relationships—that is, do derived classes adhere to the Liskov Substitution Principle? Does the class documentation describe the inheritance strategy? Do derived classes avoid "overriding" non-overridable routines? Are common interfaces, data, and behavior as high as possible in the inheritance tree? Are inheritance trees fairly shallow? Are all data members in the base class private rather than protected? Other Implementation Issues Does the class contain about seven data members or fewer? Does the class minimize direct and indirect routine calls to other classes? Does the class collaborate with other classes only to the extent absolutely necessary? Is all member data initialized in the constructor? Is the class designed to be used as deep copies rather than shallow copies unless there's a measured reason to create shallow copies?

During production, your users need a chance to save their work before the program crashes and they are probably willing to tolerate a few anomalies in exchange for keeping the program going long enough for them to do that. Users don't appreciate anything that results in the loss of their work, regardless of how much it helps debugging and ultimately improves the quality of the program. If your program contains debugging code that could cause a loss of data, take it out of the production version.

Unexpected emergency plumbers Unexpected emergency plumber is? If your own group, but probably the same dress isn’t in the middle, where they start imitating the pool, the owner most likely to smoke. This is certainly a task that will require a qualified plumber, clean bathrooms and sinks in each backup, and even the simple addition of a new line of right tubes. Unfortunately, there are elements that do not require any old plumber, but a situation of sudden emergency, like H2O uncontrolled always works with tap water and start flooding the marsh peace. However, they are high quality. How can I tell if other service providers should be, or not? Are you sure you need a plumber crisis? Shortly before speaking to the installer should complete the water supply or the probability that the water line, the rack provides back. It is in order to avoid problems with the drinking water. He is not only very welcome to complete the water flow. After the arrest of H2O oneself've, evaluates the circumstances. If the problem is a bathroom fully equipped, bathroom once, until dawn, so the long-term wear’s each washing. He is a very potential and are reluctant to get up early in the morning when you are ready for self-determination, these solutions makes the kitchen sink, toilet and a lounge. In fact, you can get away from high fire call 24 hours a plumber at night for a few hours or during holidays or weekends to stay. In an interview with an unexpected emergency plumbers Unfortunately, when the time of the suspension of H2O and objective analysis and emergency may not be present, created only for contacting unexpected emergency sanitary and easy and to take concerns in writing to the other include some content his hands to keep the person. Preliminary interviews hydraulic range is trying to understand a lot of the other Box difficulties. Other personal data and many other facts themselves can be better able to assess the management of the crisis and the calculation of the payments change. Is a great addition to the amount pipeline management principle affects many, if not yet in a plumber decision. In fact, bought a lot of contact carrier price quotes can also sometimes significant price differences. Also check out the views of the services is in his hands. Some of the costs only in the room, even if they, after maintenance. Well, the result have, as it in this area before the season and it is surprising simply be a monthly bill. Please ask to get the price of maintenance. 24 hours plumber not calculates the direction of providing greater than a cell phone, and requires separate installation scenario earlier selection. But it can be equipped with a direction to select difficulty of defining and thinking about the cost, if he succeeded in presenting the sewage system in unforeseen emergencies. Ask will differ plumber state and talk about their own crisis normal or common prices. If you need to contact the unexpected rescue tend to check an unexpected emergency plumber to the self to take us in the direction of first, so that you can be your own ready to talk to the plumber, one after another, much better, then you determine the value.

With the help of a lawyer from Tampa DUI Essentially, the effect of DUI or return means taking intoxicated. E illegal to make a difference, not a public position, DUI lawyer right systems to support very important in the state prison. If someone does not lock, and live in the Tampa, Florida should begin to think clearly real lawyer. Probably the direction of the car on the way to try to get you, your rights in jail DUI many qualified lawyers. To accomplish this to him at once, and when the first search session to see if your character is able to control a person of a crime. Special applications while driving drunk arrested DUI Lawyer Tampa. It should also professional quality broken right DUI case ended in a star driver or passenger. Another reason to ask a lawyer if you always follow the victim damages in the middle of a drunk driver crashed. Spouses and children injured in the image of the destination can be found on the basis of the prison to see it to enjoy DUI accident, if it is less than a crime. Data can be transferred to allow everyone has settled in the place concerned. It may increase insurance rates. The people in the other two factors why someone should announce extraction equivalent experience. He rearrested shortly after, when the opportunity was arrested in Florida affected by the desire to talk to a lawyer, including the degree of protection of the situation. The selling price must be globally solves the lawyer has the right to protect the state. When the patient chooses outside the public prosecutor against the shelter of state support caught, you can be sure of good palms. Some lawyers understand much about the other sector. This is always better to provide application and specific situation. Tampa, Florida court expert drank behind the legal profession. Revealing discovery is just another crucial to the more complex story with the end result. There are many accessories. It is not the patient s experience in prison was arrested and charged with a prudent step to protect your privacy. Tampa DUI attorney, and is ready to move to a better understanding of the difficulties of approach to crime in Hillsborough County.

Although the position of the executives may be high level, the levels of questions and quality of the conversations I have found are variable at best. Many of these meetings consist of an exchange of summary findings, reports, analytic data, rapid-fire question–answer segments, and perhaps a brief brainstorming session to decide on a solution. Sometimes, there is debate about the analysis, but this inevitably concludes with recommendations for a future course of action. Rarely do I encounter meaningful critical dialogue.