Striving For Accuracy Quotes

I like accuracy for its own sake, strive after it myself, and am sometimes guilty of forcing it upon others. -Bunny

An idol is something that we look to for things that only God can give. Idolatry functions widely inside religious communities when doctrinal truth is elevated to the position of a false god. This occurs when people rely on the rightness of their doctrine for their standing with God rather than on God himself and his grace. It is a subtle but deadly mistake…. Another form of idolatry within religious communities turns spiritual gifts and ministry success into a counterfeit god…. Another kind of religious idolatry has to do with moral living itself… Though we may give lip service to Jesus as our example and inspiration, we are still looking to ourselves and own own moral striving for salvation…. Making an idol out of doctrinal accuracy, ministry success, or moral rectitude leads to constant internal conflict, arrogance and self-righteousness, and oppression of those whose views differ.

There is no sense of ease like the ease we felt in those scenes where we were born, where objects became dear to us before we had known the labour of choice, and where the outer world seemed only an extension of our own personality: we accepted and loved it as we accepted our own sense of existence and our own limbs. Very commonplace, even ugly, that furniture of our early home might look if it were put up to auction; an improved taste in upholstery scorns it; and is not the striving after something better and better in our surrounding, the grand characteristic that distinguishes man from the brute - or, to satisfy a scrupulous accuracy of definition, that distinguishes the British man from the foreign brute? But heaven knows where that striving might lead us, if our affections had not a trick of twining round those old inferior things - if the loves and sanctities of our life had no deep immovable roots in memory. One's delight in an elderberry bush overhanging the confused lea age of a hedgerow bank, as a more gladdening sight than the finest cistus or fuchsia spreading itself on the softest undulating turf, is an entirely unjustifiable preference to a nursery-gardener, or to any of those severely regulated minds who are free from the weakness of any attachment that does not rest on a demonstrable superiority of qualities. And there is no better reason for preferring this elderberry bush than that it stirs an early memory - that it is no novelty in my life, speaking to me merely through my present sensibilities to form and colour, but the long companion of my existence, that wove itself into my joys when joys were vivid.

Imagine a life without uncertainty. Hope, according to Aeschylus, comes from the lack of certainty of fate; perhaps hope is inherently blind. Imagine how dull life would be if variables assessed for admission to a professional school, graduate program, or executive training program really did predict with great accuracy who would succeed and who would fail. Life would be intolerable—no hope, no challenge. Thus, we have a paradox. While we all strive to reduce the uncertainties of our existence and of the environment, ultimate success—that is, a total elimination of uncertainty—would be horrific. Knowing pleasant outcomes with certainty would also detract from life’s joy. An essential part of knowledge is to shrink the domain of the unpredictable. But while we pursue this goal, its ultimate attainment would not be at all desirable.

From *the form of time and of the single dimension* of the series of representations, on account of which the intellect, in order to take up one thing, must drop everything else, there follows not only the intellect’s distraction, but also its *forgetfulness*. Most of what it has dropped it never takes up again, especially as the taking up again is bound to the principle of sufficient reason, and thus requires an occasion which the association of ideas and motivation have first to provide. Yet this occasion may be the remoter and the smaller, the more our susceptibility to it is enhanced by interest in the subject. But, as I have already shown in the essay *On the Principle of Sufficient Reason*, memory is not a receptacle, but a mere faculty, acquired by practice, of bringing forth any representations at random, so that these have always to be kept in practice by repetition, otherwise they are gradually lost. Accordingly, the knowledge even of the scholarly head exists only *virtualiter* as an acquired practice in producing certain representations. *Actualiter*, on the other hand, it is restricted to one particular representation, and for the moment is conscious of this one alone. Hence there results a strange contrast between what a man knows *potentia* and what he knows *actu*, in other words, between his knowledge and his thinking at any moment. The former is an immense and always somewhat chaotic mass, the latter a single, distinct thought. The relation is like that between the innumerable stars of the heavens and the telescope’s narrow field of vision; it stands out remarkably when, on some occasion, a man wishes to bring to distinct recollection some isolated fact from his knowledge, and time and trouble are required to look for it and pick it out of that chaos. Rapidity in doing this is a special gift, but depends very much on the day and the hour; therefore sometimes memory refuses its service, even in things which, at another time, it has ready at hand. This consideration requires us in our studies to strive after the attainment of correct insight rather than an increase of learning, and to take to heart the fact that the *quality* of knowledge is more important than its quantity. Quantity gives books only thickness; quality imparts thoroughness as well as style; for it is an *intensive* dimension, whereas the other is merely extensive. It consists in the distinctness and completeness of the concepts, together with the purity and accuracy of the knowledge of perception that forms their foundation. Therefore the whole of knowledge in all its parts is permeated by it, and is valuable or troubling accordingly. With a small quantity but good quality of knowledge we achieve more than with a very great quantity but bad quality." —from_The World as Will and Representation_. Translated from the German by E. F. J. Payne in two volumes: volume II, pp. 139-141

There is no sense of ease like the ease we felt in those scenes where we were born, where objects became dear to us before we had known the labor of choice, and where the outer world seemed only an extension of our own personality; we accepted and loved it as we accepted our own sense of existence and our own limbs. Very commonplace, even ugly, that furniture of our early home might look if it were put up to auction; an improved taste in upholstery scorns it; and is not the striving after something better and better in our surroundings the grand characteristic that distinguishes man from the brute, or, to satisfy a scrupulous accuracy of definition, that distinguishes the British man from the foreign brute? But heaven knows where that striving might lead us, if our affections had not a trick of twining round those old inferior things; if the loves and sanctities of our life had no deep immovable roots in memory. One's delight in an elderberry bush overhanging the confused leafage of a hedgerow bank, as a more gladdening sight than the finest cistus or fuchsia spreading itself on the softest undulating turf, is an entirely unjustifiable preference to a nursery-gardener, or to any of those regulated minds who are free from the weakness of any attachment that does not rest on a demonstrable superiority of qualities. And there is no better reason for preferring this elderberry bush than that it stirs an early memory; that it is no novelty in my life, speaking to me merely through my present sensibilities to form and color, but the long companion of my existence, that wove itself into my joys when joys were vivid.

Enhancing Diabetes Management: The Role of Blood Glucose Monitors from Med Supply US Introduction In the modern landscape of diabetes care, continuous monitoring of blood glucose levels has become an invaluable tool for individuals striving to manage their condition effectively. Among the pioneering names in this field is Med Supply US, a brand that has been making waves in New York, Miami, and Florida by offering state-of-the-art Continuous Glucose Monitoring (CGM) services. Let's delve into how these Blood Glucose Monitors are revolutionizing diabetes management. Continuous Glucose Monitoring: A Game-Changer Gone are the days of frequent finger pricks and sporadic glucose checks. Med Supply US is at the forefront of empowering individuals with diabetes to monitor their blood glucose levels seamlessly and gain insights in real-time. CGMs have ushered in a new era of convenience, accuracy, and comprehensive data analysis, allowing for a more proactive approach to diabetes care. Benefits of CGMs by Med Supply US Med Supply US has carved a niche for itself in the diabetes management landscape, offering a range of benefits that set it apart: Accurate Monitoring: CGMs provide continuous readings throughout the day and night, eliminating the guesswork associated with traditional glucose monitoring methods. This accuracy is pivotal for making informed decisions about diet, medication, and activity levels. Real-time Data: With CGMs, individuals receive real-time data on their glucose levels. This not only keeps them informed but also enables prompt action in response to fluctuations, reducing the risk of extreme highs and lows. Trend Analysis: Med Supply US's CGMs offer comprehensive data analysis, highlighting trends and patterns in glucose levels over time. This aids in identifying factors that impact blood sugar, thus facilitating better management strategies. Alerts and Notifications: CGMs from Med Supply US come equipped with customizable alerts and notifications. This feature helps users stay vigilant about their glucose levels, especially during critical moments.

We don’t win bets by being in love with our own ideas. We win bets by relentlessly striving to calibrate our beliefs and predictions about the future to more accurately represent the world. In the long run, the more objective person will win against the more biased person. In that way, betting is a form of accountability to accuracy. Calibration requires an open-minded consideration of diverse points of view and alternative hypotheses. Wrapping all that into your group’s charter makes a lot of sense.

On generative AI, LLMs, etc. Humans acquire language and communication skills from a diverse range of sources, including raw, unfiltered, and unstructured content. However, when it comes to acquiring knowledge, humans tend to rely on transparent, trusted, and structured sources. In contrast, ChatGPT and other large language models (LLMs) use a vast array of opaque, unattested sources of raw, unfiltered, and unstructured content as their means of language and communication training and as the source of information used in their responses. While this approach has proven to be effective in generating natural language, it has also been inconsistent and, at times, significantly lacking in integrity in its responses. While it may provide information, it does not necessarily provide knowledge. To be truly useful, generative AI must be able to separate language and communication training from the acquisition of knowledge to be used in its responses. This will allow LLMs to not only generate coherent and fluent language but also to provide accurate and reliable information to users. However, in a culture that values self-proclaimed influencers where transparency and accuracy is secondary, it has become increasingly challenging to separate reliable information from misinformation and knowledge from ignorance. This poses a significant obstacle for AI algorithms that strive to provide accurate and trustworthy responses.

Unleashing Reliable Insights from Generative AI by Disentangling Language Fluency and Knowledge Acquisition Generative AI carries immense potential but also comes with significant risks. One of these risks of Generative AI lies in its limited ability to identify misinformation and inaccuracies within the contextual framework. This deficiency can lead to mistakenly associating correlation with causation, reliance on incomplete or inaccurate data, and a lack of awareness regarding sensitive dependencies between information sets. With society’s increasing fascination with and dependence on Generative AI, there is a concern that the unintended consequence that it will have an unhealthy influence on shaping societal views on politics, culture, and science. Humans acquire language and communication skills from a diverse range of sources, including raw, unfiltered, and unstructured content. However, when it comes to knowledge acquisition, humans typically rely on transparent, trusted, and structured sources. In contrast, large language models (LLMs) such as ChatGPT draw from an array of opaque, unattested sources of raw, unfiltered, and unstructured content for language and communication training. LLMs treat this information as the absolute source of truth used in their responses. While this approach has demonstrated effectiveness in generating natural language, it also introduces inconsistencies and deficiencies in response integrity. While Generative AI can provide information it does not inherently yield knowledge. To unlock the true value of generative AI, it is crucial to disaggregate the process of language fluency training from the acquisition of knowledge used in responses. This disaggregation enables LLMs to not only generate coherent and fluent language but also deliver accurate and reliable information. However, in a culture that obsesses over information from self-proclaimed influencers and prioritizes virality over transparency and accuracy, distinguishing reliable information from misinformation and knowledge from ignorance has become increasingly challenging. This presents a significant obstacle for AI algorithms striving to provide accurate and trustworthy responses. Generative AI shows great promise, but addressing the issue of ensuring information integrity is crucial for ensuring accurate and reliable responses. By disaggregating language fluency training from knowledge acquisition, large language models can offer valuable insights. However, overcoming the prevailing challenges of identifying reliable information and distinguishing knowledge from ignorance remains a critical endeavour for advancing AI algorithms. It is essential to acknowledge that resolving this is an immediate challenge that needs open dialogue that includes a broad set of disciplines, not just technologists Technology alone cannot provide a complete solution.

In one study, Stanford basketball players were encouraged to strive for ten hours of sleep per day, with or without naps, and to abstain from alcohol or caffeine. After five weeks, their shooting accuracy had improved by 9 percent, and their sprint times had also gotten faster.

The evidence suggests that students invest more effort under two instructional conditions I call “high help” (i.e., when the teacher communicates convincingly that she likes it when they ask questions and loves to help them when they get confused or make mistakes) and “high perfectionism” (i.e., when the teacher continually presses students to strive not only for understanding but also for accuracy as they complete their assignments).

When tempted to use a pro-con list, consider upgrading to a cost-benefit analysis or decision tree as appropriate. When making any quantitative assessment, run a sensitivity analysis across inputs to uncover key drivers and appreciate where you may need to seek greater accuracy in your assumptions. Pay close attention to any discount rate used. Beware of black swan events and unknown unknowns. Use systems thinking and scenario analysis to more systematically uncover them and assess their impact. For really complex systems or decision spaces, consider simulations to help you better assess what may happen under different scenarios. Watch out for blind spots that arise from groupthink. Consider divergent and lateral thinking techniques when working with groups, including seeking more diverse points of view. Strive to understand the global optimum in any system and look for decisions that move you closer to it.