Qualitative Best Quotes

You can optimize everything and still fail, because you have to optimize for the right things. That's where reflection and qualitative approaches come in. By asking why, we can see the opportunity for something better beyond the bounds of the current best. Even math has its limits.

Qualitative and quantitative research with adults and children reporting ritual abuse has found that it occurs alongside other forms of organised abuse, particularly the manufacture of child abuse images (Scott 2001, Snow and Sorenson 1990, Waterman et al. 1993), and hence subsuming such non-ritualistic experiences under the moniker ‘ritual abuse’ is misleading at best and incendiary at worst. Moreover, it is unclear why an abusive group that invokes a religious or metaphysical mandate to abuse children should be considered as largely distinct from an abusive group that invokes a non-religious rationale to do so. The presumption evident amongst some authors writing on ritual abuse that a professed spiritual motivation for abusing children necessarily reflects the offenders actual motivation seems naïve at best, and at worst it risks colluding with the ways in which abusive groups obfuscate responsibility for their actions.

Given the unconventional nature and scale of the problems we are facing today, there is real need to value our artists . Creative collaborations can bridge the best talents we have in both the quantitative and qualitative domains and inspire solutions . 

the best sources in the Western tradition have argued that morality is much more than, indeed qualitatively different from, the sum of the values that an essentially autonomous self chooses for itself. Classical, Jewish, and Christian sources, such as Plato, Aristotle, and Cicero, or Augustine, John Chrysostom, Maimonides, Thomas Aquinas, and John Calvin, insist that morality is neither plural nor subjective.

If God’s love is absolutely different from the highest and best notions of love as we derive them from Scripture itself (especially from Jesus Christ), then the term is simply meaningless when attached to God. One might as well say “God is creech-creech”—a meaningless assertion. As I hope to demonstrate, some Calvinists agree with me about the analogy between God’s goodness and love and our highest and best ideas of goodness and love. Paul Helm, for example, rejects any idea that God’s goodness and love is totally qualitatively different from ours (as ours is derived from Scripture, of course). Yet, I will argue, even those who agree with me cannot adequately explain how their account of God’s sovereignty, especially in relation to sin, evil, and reprobation, is consistent with goodness or love.

Talmy points out how the mindset behind force dynamics is very different from our best understanding of force and momentum from Newtonian physics. The force-dynamic model in language singles out one entity and conceives of another as impinging on it, whereas in physics neither object in an interaction is privileged. Language conceives of the agonist as having an inner impulse toward motion or rest, whereas physics treats an object as simply continuing at its current velocity. Language distinguishes motion and rest as qualitatively distinct tendencies, whereas physics treats rest as a velocity that happens to be zero. Language treats the antagonist as exerting a force that is stronger than the intrinsic tendency of the agonist. In Newtonian physics, an action and its reaction are opposite and equal, so a pair of touching objects that are at rest, or are moving at a constant velocity, must exert equal forces on each other (if one force were stronger, the two would accelerate in that direction). In language, things can just happen, without stated causes-The book toppled off the shelf; The sidewalk cracked-whereas in physics every event has a lawful antecedent. And in physics, the distinction between causing, blocking, permitting, and helping plays no obvious role.

According to the [evolutionist explanation of the instinct of animals], instinct is the expression of the heredity of a species, of an accumulation of analogous experiences down the ages. This is how they explain, for example, the fact that a flock of sheep hastily gathers together around the lambs the moment it perceives the shadow of a bird of prey, or that a kitten while playing already employs all the tricks of a hunter, or that birds know how to build their nests. In fact, it is enough to watch animals to see that their instinct has nothing of an automatism about it. The formation of such a mechanism by a purely cumulative . . . process is highly improbable, to say the least. Instinct is a nonreflective modality of the intelligence; it is determined, not by a series of automatic reflexes, but by the “form”—the qualitative determination—of the species. This form is like a filter through which the universal intelligence is manifested. . . The same is also true for man: his intelligence too is determined by the subtle form of his species. This form, however, includes the reflective faculty, which allows of a singularization of the individual such as does not exist among the animals. Man alone is able to objectivize himself. He can say: “I am this or that.” He alone possesses this two-edged faculty. Man, by virtue of his own central position in the cosmos, is able to transcend his specific norm; he can also betray it, and sink lower; "The corruption of the best is corruption at its worst." A normal animal remains true to the form and genius of its species; if its intelligence is not reflective and objectifying, but in some sort existential, it is nonetheless spontaneous; it is assuredly a form of the universal intelligence even if it is not recognized as such by men who, from prejudice or ignorance, identify intelligence with discursive thought exclusively.

Find a price curve anomaly. Decide for a market inefficiency to exploit – or discover a new one. The best known inefficiencies are listed in the next chapter. Think about which price curve anomaly this effect could produce (an anomaly is any systematic deviation from randomness). Describe it with a quantitative formula or at least a qualitative criteria. You’ll need that for the next step.

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In August 2012, Jurgen Appelo published a list of (Top 100 Agile Books (Edition 2012)) by using a qualitative and quantitative rating system. His list reflects the most and best rated during the time span that the books earned the ratings.

Ibn Hazm subjects to his critique the four views concern- ing the sources of knowledge, that is, that all knowledge is derived 1. from inspiration (ilhâm), or 2. from the teachings of a religious leader (imâm), or 3. from transmitted information (khabar), or 4. through a blind trust in tradition (taqlid). These do not admit the possibility of evidence gained through reasoning, which Ibn Hazm upholds. On the origin of language, he does not want to commit himself, but he tends toward the view that the single original language of mankind, from which all other languages were derived, owes its development not to convention but to divine teaching (tawqîf ). Very sensibly, he argues against those who feel that there are qualitative differences between the various languages, and who claim that theirs is the best (afdal ) language.

qualitative evaluation such as feasibility and performance of action plans, as well as best practices, the evaluation was conducted by an external research agency

Correlations made by big data are likely to reinforce negative bias. Because big data often relies on historical data or at least the status quo, it can easily reproduce discrimination against disadvantaged racial and ethnic minorities. The propensity models used in many algorithms can bake in a bias against someone who lived in the zip code of a low-income neighborhood at any point in his or her life. If an algorithm used by human resources companies queries your social graph and positively weighs candidates with the most existing connections to a workforce, it makes it more difficult to break in in the first place. In effect, these algorithms can hide bias behind a curtain of code. Big data is, by its nature, soulless and uncreative. It nudges us this way and that for reasons we are not meant to understand. It strips us of our privacy and puts our mistakes, secrets, and scandals on public display. It reinforces stereotypes and historical bias. And it is largely unregulated because we need it for economic growth and because efforts to try to regulate it have tended not to work; the technologies are too far-reaching and are not built to recognize the national boundaries of our world’s 196 sovereign nation-states. Yet would it be best to try to shut down these technologies entirely if we could? No. Big data simultaneously helps solve global challenges while creating an entirely new set of challenges. It’s our best chance at feeding 9 billion people, and it will help solve the problem of linguistic division that is so old its explanation dates back to the Old Testament and the Tower of Babel. Big data technologies will enable us to discover cancerous cells at 1 percent the size of what can be detected using today’s technologies, saving tens of millions of lives. The best approach to big data might be one put forward by the Obama campaign’s chief technology officer, Michael Slaby, who said, “There’s going to be a constant mix between your qualitative experience and your quantitative experience. And at times, they’re going to be at odds with each other, and at times they’re going to be in line. And I think it’s all about the blend. It’s kind of like you have a mixing board, and you have to turn one up sometimes, and turn down the other. And you never want to be just one or the other, because if it’s just one, then you lose some of the soul.” Slaby has made an impressive career out of developing big data tools, but even he recognizes that these tools work best when governed by human judgment. The choices we make about how we manage data will be as important as the decisions about managing land during the agricultural age and managing industry during the industrial age. We have a short window of time—just a few years, I think—before a set of norms set in that will be nearly impossible to reverse. Let’s hope humans accept the responsibility for making these decisions and don’t leave it to the machines.

How To Write Achievement Stories Because you’re asking people to take a chance on you, you need to show them why they should take a chance. We live in a world best summarized by the words of Grant Cardone: Sell Or Be Sold! Practically, everything we hear and read on TV, radio, and the internet is an attempt to sell us something. When you find yourself in front of the hiring manager, it’s essential that you sell yourself. Selling yourself means helping the hiring manager understand why she should hire you. Hiring managers want to know how you’re different from all of the other candidates. If you can’t answer that question, you won’t get a second interview. After my job was eliminated in ’95 and ’02, I knew I had to quantify the impact of my work, so I would be ready for the next time. As a result, I took detailed notes on everything I did that 1) earned money, 2) saved money, and 3) increased productivity. I also took detailed notes on everything that set me apart from other candidates. Because everyone responds well to stories, and detailed stories add to your credibility, I created Achievement Stories. Achievement stories are also known as STAR stories. STAR is short for Situation – Task – Action – Result. Another name for Achievement stories is SOAR stories. (See explanation below.) Situation First, provide the context of what was happening. This is the before picture, namely what was going on at the time, before you took action. Obstacles These are the issues and problems which you had to overcome to be successful. Action This is where you explain what you did to overcome the issues and problems. Results This is where you share the outcome of your action – both quantitatively and qualitatively.

People think that to be a good doctor you need to be objective and pragmatic and sensible, and you do, but as my pharmacology lecturer said, the best and most effective doctors possess innate intuition about the human psyche too. A diagnosis is not solely about quantative facts. A good doctor peels the qualitative onion too.

Identify some of the actual individuals who are your best customers. Evaluate those with the highest customer lifetime value (CLV) and develop hypotheses about their shared traits. Although demographics and psychographics might be the most obvious, you’ll find additional insights if you examine their behavior. What channels did they come through? What messages resonated? How did they onboard? How recently, frequently, and deeply have they engaged? Compare best customers and worst customers—those you acquired who weren’t ultimately profitable or who weren’t satisfied with your offering. Notice people who exhaust your free trial but don’t convert to paid, or who join but cancel within the first few months. The best customers have the greatest customer lifetime value (CLV); they will spend more with you over time than anyone else. Produce either a qualitative write-up of your best customer or use regression analysis to prioritize characteristics. Share these conclusions with your frontline team—retail workers, customer support, sales—to accrue early insights. With a concrete conception of your best customer, you can discern if the customer segment is sufficiently large to justify addressing. Test and adjust as needed. Then make these best customers and their forever promise as “real” as possible to the team. If you have actual customers who fit the profile, talk about them, invite them in, or have their pictures on your wall. You’re going to feel their pain, share their objectives, and design experiences for them. It’s important to know them well.

Quantitative data tell us what people are doing. Qualitative data tell us why people are doing it. The best kind of research combines the two kinds of data.

Bergson says that mystical experience need not wonder whether the source it puts us in contact with is God himself or his earthly delegation. It experiences the granted invasion of a being which 'can do immensely more than it can.' We must not even say an all-powerful being: Bergson says that the idea of the all is as empty as that of nothingness, and the possible for him remains the shadow of the real. Bergson's God is immense rather than infinite, or He is a qualitative infinite. He is the element of joy or love in the sense that water and fire are elements. Like sentient and human beings, He is a radiance, not an essence. Metaphysical attributes which seek to determine Him are, Bergson says, like all determinations, negations. Even if through some impossibility they became visible, no religious man would recognize the God he prays to in them. Bergson's God is, like the universe, a singular being, an immense this; and even in theology Bergson kept his promise of a philosophy fashioned for actual being and applying to it alone. If we indulge in imaginary computations we must admit, he says, that 'the whole could have been much better than it is.' No one can make someone's death a component of the best possible world. But not only are the solutions of classical theodicy false, the problems have no meaning in the order Bergson puts himself in--the order of radical contingency. Here it is not a question of the conceived world or a conceived God, but of the existing world and an existing God; and that within us which is acquainted with this order is beneath our opinions and our statements. No one will ever stop men from loving their life, no matter how miserable it may be. This vital judgment puts life and God on this side of arraignment as well as of justification. And if we insisted upon understanding how natura naturans had been able to produce a natura naturata in which it is not really realized, why creative effort has been at least provisionally arrested, what obstacle it has encountered and how an obstacle could be insurmountable for it, Bergson would agree that his philosophy does not answer this type of question. But he would also say that the reason why it does not is that it does not have to ask such questions. For in the last analysis his philosophy is not a genesis of the world--not even, as it narrowly missed being, 'integration and differentiation' of being--but the deliberately partial, discontinuous, almost empirical location of several foci of being.

Information is only as useful how is collected an interpreted. Algorithms are only as good as the scope and reliability of the data sets to which they are applied. So too, the findings of a qualitative researcher are only as good as that individual's neutrality, perceptiveness, and skill at eliciting anecdote and emotion. In other words, how well the qualitative researcher listens. At best, a quant can give you broad brushstrokes while a qual can provide finer detail. Both approaches are valid, and when used in concert, can be extremely revealing.  But when it comes to human interactions, and divining individual's unique motivations, proclivities and potentials, listing is so far the best and most accurate tool.

Information is only as useful as how it is collected and interpreted. Algorithms are only as good as the scope and reliability of the data sets to which they are applied. So too, the findings of a qualitative researcher are only as good as that individual's neutrality, perceptiveness, and skill at eliciting anecdote and emotion. In other words, how well the qualitative researcher listens. At best, a quant can give you broad brushstrokes while a qual can provide finer detail. Both approaches are valid, and when used in concert, can be extremely revealing.  But when it comes to human interactions, and divining individual's unique motivations, proclivities and potentials, listing is so far the best and most accurate tool.

Technological innovations that produced certain major components of the United States military cannot be understood as resulting from a qualitative arms race. Those involved in decisions about new military technologies for the U.S. Army and Air Force simply do not appear to have had access to good intelligence about the Soviet military technological developments. How, then, were decisions made as to technologies to develop? Military research and development decisions are made amid great uncertainties. In an ideal world, such decisions would be managed by estimating the future costs of alternative programs and their prospective military values, and then pursuing the program with the best ratio of cost to value. But...there are tremendous difficulties in forecasting the real value and costs of weapons development programs. These uncertainties, combined with the empirical difficulty American technology managers had in collecting intelligence on the Soviet Union, meant that research and development strategies in the real world tended to become strategies for managing uncertainties. At least two such strategies are conceivable. One of the most politically important can be called, for want of a better phrase, "let the scientists choose." [This approach should be] compared with the theoretical and practical arguments for a strategy that concentrates on low-cot hedges against various forms of uncertainty.