nes

Beware the Rareness Illusion When Exploring the Unknown

Here's a great vacation idea. Spend the summer roaming the world in search of the 10 lost tribes of Israel, exiled from Samaria by the Assyrians 2700 years ago (2 Kings 17:6). Or perhaps you'd like to search for Prester John, the virtuous ruler of a kingdom lost in the Orient? Or would you rather trace the gold-laden kingdom of Ophir (1 Kings 9:28)? Or do you prefer the excitement of tracking the Amazons, that nation of female warriors? Or perhaps the naval power mentioned by Plato, operating from the island of Atlantis? Or how about unicorns, or the fountain of eternal youth? The Unknown is so vast that the possibilities are endless.

Maybe you don't believe in unicorns. But Plato evidently "knew" about the island of Atlantis. The conquest of Israel is known from Assyrian archeology and from the Bible. That you've never seen a Reubenite or a Naphtalite (or a unicorn) means that they don't exist?

It is true that when something really does not exist, one might spend a long time futilely looking for it. Many people have spent enormous energy searching for lost tribes, lost gold, and lost kingdoms. Why is it so difficult to decide that what you're looking for really isn't there? The answer, ironically, is that the world has endless possibilities for discovery and surprise.

Let's skip vacation plans and consider some real-life searches. How long should you (or the Libyans) look for Muammar Qaddafi? If he's not in the town of Surt, maybe he's Bani Walid, or Algeria, or Timbuktu? How do you decide he cannot be found? Maybe he was pulverized by a NATO bomb. It's urgent to find the suicide bomber in the crowded bus station before it's too late - if he's really there. You'd like to discover a cure for AIDS, or a method to halt the rising global temperature, or a golden investment opportunity in an emerging market, or a proof of the parallel postulate of Euclidean geometry.

Let's focus our question. Suppose you are looking for something, and so far you have only "negative" evidence: it's not here, it's not there, it's not anywhere you've looked. Why is it so difficult to decide, conclusively and confidently, that it simply does not exist?

This question is linked to a different question: how to make the decision that "it" (whatever it is) does not exist. We will focus on the "why" question, and leave the "how" question to students of decision theories such as statistics, fuzzy logic, possibility theory, Dempster-Shafer theory and info-gap theory. (If you're interested in an info-gap application to statistics, here is an example.)

Answers to the "why" question can be found in several domains.

Psychology provides some answers. People can be very goal oriented, stubborn, and persistent. Marco Polo didn't get to China on a 10-hour plane flight. The round trip took him 24 years, and he didn't travel business class.

Ideology is a very strong motivator. When people believe something strongly, it is easy for them to ignore evidence to the contrary. Furthermore, for some people, the search itself is valued more than the putative goal.

The answer to the "why" question that I will focus on is found by contemplating The Endless Unknown. It is so vast, so unstructured, so, well ..., unknown, that we cannot calibrate our negative evidence to decide that whatever we're looking for just ain't there.

I'll tell a true story.

I was born in the US and my wife was born in Israel, but our life-paths crossed, so to speak, before we were born. She had a friend whose father was from Europe and lived for a while - before the friend was born - with a cousin of his in my home town. This cousin was - years later - my 3rd grade teacher. My school teacher was my future wife's friend's father's cousin.

Amazing coincidence. This convoluted sequence of events is certainly rare. How many of you can tell the very same story? But wait a minute. This convoluted string of events could have evolved in many many different ways, each of which would have been an equally amazing coincidence. The number of similar possible paths is namelessly enormous, uncountably humongous. In other words, potential "rare" events are very numerous. Now that sounds like a contradiction (we're getting close to some of Zeno's paradoxes, and Aristotle thought Zeno was crazy). It is not a contradiction; it is only a "rareness illusion" (something like an optical illusion). The specific event sequence in my story is unique, which is the ultimate rarity. We view this sequence as an amazing coincidence because we cannot assess the number of similar sequences. Surprising strings of events occur not infrequently because the number of possible surprising strings is so unimaginably vast. The rareness illusion is the impression of rareness arising from our necessary ignorance of the vast unknown. "Necessary" because, by definition, we cannot know what is unknown. "Vast" because the world is so rich in possibilities.

The rareness illusion is a false impression, a mistake. For instance, it leads people to wrongly goggle at strings of events - rare in themselves - even though "rare events" are numerous and "amazing coincidences" occur all the time. An appreciation of the richness and boundlessness of the Unknown is an antidote for the rareness illusion.

Recognition of the rareness illusion is the key to understanding why it is so difficult to confidently decide, based on negative evidence, that what you're looking for simply does not exist.

One might be inclined to reason as follows. If you're looking for something, then look very thoroughly, and if you don't find it, then it's not there. That is usually sound and sensible advice, and often "looking thoroughly" will lead to discovery.

However, the number of ways that we could overlook something that really is there is enormous. It is thus very difficult to confidently conclude that the search was thorough and that the object cannot be found. Take the case of your missing house keys. They dropped from your pocket in the car, or on the sidewalk and somebody picked them up, or you left them in the lock when you left the house, or or or .... Familiarity with the rareness illusion makes it very difficult to decide that you have searched thoroughly. If you think that the only contingencies not yet explored are too exotic to be relevant (a raven snatched them while you were daydreaming about that enchanting new employee), then think again, because you've been blinded by a rareness illusion. The number of such possibilities is so vastly unfathomable that you cannot confidently say that all of them are collectively negligible. Recognition of the rareness illusion prevents you from confidently concluding that what you are seeking simply does not exist.

Many quantitative tools grapple with the rareness illusion. We mentioned some decision theories earlier. But because the rareness illusion derives from our necessary ignorance of the vast unknown, one must always beware.

Looking for an exciting vacation? The Endless Unknown is the place to go. 




nes

Squirrels and Stock Brokers, Or: Innovation Dilemmas, Robustness and Probability

Decisions are made in order to achieve desirable outcomes. An innovation dilemma arises when a seemingly more attractive option is also more uncertain than other options. In this essay we explore the relation between the innovation dilemma and the robustness of a decision, and the relation between robustness and probability. A decision is robust to uncertainty if it achieves required outcomes despite adverse surprises. A robust decision may differ from the seemingly best option. Furthermore, robust decisions are not based on knowledge of probabilities, but can still be the most likely to succeed.

Squirrels, Stock-Brokers and Their Dilemmas




Decision problems.
Imagine a squirrel nibbling acorns under an oak tree. They're pretty good acorns, though a bit dry. The good ones have already been taken. Over in the distance is a large stand of fine oaks. The acorns there are probably better. But then, other squirrels can also see those trees, and predators can too. The squirrel doesn't need to get fat, but a critical caloric intake is necessary before moving on to other activities. How long should the squirrel forage at this patch before moving to the more promising patch, if at all?

Imagine a hedge fund manager investing in South African diamonds, Australian Uranium, Norwegian Kroners and Singapore semi-conductors. The returns have been steady and good, but not very exciting. A new hi-tech start-up venture has just turned up. It looks promising, has solid backing, and could be very interesting. The manager doesn't need to earn boundless returns, but it is necessary to earn at least a tad more than the competition (who are also prowling around). How long should the manager hold the current portfolio before changing at least some of its components?

These are decision problems, and like many other examples, they share three traits: critical needs must be met; the current situation may or may not be adequate; other alternatives look much better but are much more uncertain. To change, or not to change? What strategy to use in making a decision? What choice is the best bet? Betting is a surprising concept, as we have seen before; can we bet without knowing probabilities?

Solution strategies.
The decision is easy in either of two extreme situations, and their analysis will reveal general conclusions.

One extreme is that the status quo is clearly insufficient. For the squirrel this means that these crinkled rotten acorns won't fill anybody's belly even if one nibbled here all day long. Survival requires trying the other patch regardless of the fact that there may be many other squirrels already there and predators just waiting to swoop down. Similarly, for the hedge fund manager, if other funds are making fantastic profits, then something has to change or the competition will attract all the business.

The other extreme is that the status quo is just fine, thank you. For the squirrel, just a little more nibbling and these acorns will get us through the night, so why run over to unfamiliar oak trees? For the hedge fund manager, profits are better than those of any credible competitor, so uncertain change is not called for.

From these two extremes we draw an important general conclusion: the right answer depends on what you need. To change, or not to change, depends on what is critical for survival. There is no universal answer, like, "Always try to improve" or "If it's working, don't fix it". This is a very general property of decisions under uncertainty, and we will call it preference reversal. The agent's preference between alternatives depends on what the agent needs in order to "survive".

The decision strategy that we have described is attuned to the needs of the agent. The strategy attempts to satisfy the agent's critical requirements. If the status quo would reliably do that, then stay put; if not, then move. Following the work of Nobel Laureate Herbert Simon, we will call this a satisficing decision strategy: one which satisfies a critical requirement.

"Prediction is always difficult, especially of the future." - Robert Storm Petersen

Now let's consider a different decision strategy that squirrels and hedge fund managers might be tempted to use. The agent has obtained information about the two alternatives by signals from the environment. (The squirrel sees grand verdant oaks in the distance, the fund manager hears of a new start up.) Given this information, a prediction can be made (though the squirrel may make this prediction based on instincts and without being aware of making it). Given the best available information, the agent predicts which alternative would yield the better outcome. Using this prediction, the decision strategy is to choose the alternative whose predicted outcome is best. We will call this decision strategy best-model optimization. Note that this decision strategy yields a single universal answer to the question facing the agent. This strategy uses the best information to find the choice that - if that information is correct - will yield the best outcome. Best-model optimization (usually) gives a single "best" decision, unlike the satisficing strategy that returns different answers depending on the agent's needs.

There is an attractive logic - and even perhaps a moral imperative - to use the best information to make the best choice. One should always try to do one's best. But the catch in the argument for best-model optimization is that the best information may actually be grievously wrong. Those fine oak trees might be swarming with insects who've devoured the acorns. Best-model optimization ignores the agent's central dilemma: stay with the relatively well known but modest alternative, or go for the more promising but more uncertain alternative.

"Tsk, tsk, tsk" says our hedge fund manager. "My information already accounts for the uncertainty. I have used a probabilistic asset pricing model to predict the likelihood that my profits will beat the competition for each of the two alternatives."

Probabilistic asset pricing models are good to have. And the squirrel similarly has evolved instincts that reflect likelihoods. But a best-probabilistic-model optimization is simply one type of best-model optimization, and is subject to the same vulnerability to error. The world is full of surprises. The probability functions that are used are quite likely wrong, especially in predicting the rare events that the manager is most concerned to avoid.

Robustness and Probability

Now we come to the truly amazing part of the story. The satisficing strategy does not use any probabilistic information. Nonetheless, in many situations, the satisficing strategy is actually a better bet (or at least not a worse bet), probabilistically speaking, than any other strategy, including best-probabilistic-model optimization. We have no probabilistic information in these situations, but we can still maximize the probability of success (though we won't know the value of this maximum).

When the satisficing decision strategy is the best bet, this is, in part, because it is more robust to uncertainty than another other strategy. A decision is robust to uncertainty if it achieves required outcomes even if adverse surprises occur. In many important situations (though not invariably), more robustness to uncertainty is equivalent to being more likely to succeed or survive. When this is true we say that robustness is a proxy for probability.

A thorough analysis of the proxy property is rather technical. However, we can understand the gist of the idea by considering a simple special case.

Let's continue with the squirrel and hedge fund examples. Suppose we are completely confident about the future value (in calories or dollars) of not making any change (staying put). In contrast, the future value of moving is apparently better though uncertain. If staying put would satisfy our critical requirement, then we are absolutely certain of survival if we do not change. Staying put is completely robust to surprises so the probability of success equals 1 if we stay put, regardless of what happens with the other option. Likewise, if staying put would not satisfy our critical requirement, then we are absolutely certain of failure if we do not change; the probability of success equals 0 if we stay, and moving cannot be worse. Regardless of what probability distribution describes future outcomes if we move, we can always choose the option whose likelihood of success is greater (or at least not worse). This is because staying put is either sure to succeed or sure to fail, and we know which.

This argument can be extended to the more realistic case where the outcome of staying put is uncertain and the outcome of moving, while seemingly better than staying, is much more uncertain. The agent can know which option is more robust to uncertainty, without having to know probability distributions. This implies, in many situations, that the agent can choose the option that is a better bet for survival.

Wrapping Up

The skillful decision maker not only knows a lot, but is also able to deal with conflicting information. We have discussed the innovation dilemma: When choosing between two alternatives, the seemingly better one is also more uncertain.

Animals, people, organizations and societies have developed mechanisms for dealing with the innovation dilemma. The response hinges on tuning the decision to the agent's needs, and robustifying the choice against uncertainty. This choice may or may not coincide with the putative best choice. But what seems best depends on the available - though uncertain - information.

The commendable tendency to do one's best - and to demand the same of others - can lead to putatively optimal decisions that may be more vulnerable to surprise than other decisions that would have been satisfactory. In contrast, the strategy of robustly satisfying critical needs can be a better bet for survival. Consider the design of critical infrastructure: flood protection, nuclear power, communication networks, and so on. The design of such systems is based on vast knowledge and understanding, but also confronts bewildering uncertainties and endless surprises. We must continue to improve our knowledge and understanding, while also improving our ability to manage the uncertainties resulting from the expanding horizon of our efforts. We must identify the critical goals and seek responses that are immune to surprise. 




nes

Genesis for Engineers

Technology has come a long way since Australopithecus first bruised their fingers chipping flint to make knives and scrapers. We are blessed to fruitfully multiply, to fill the world and to master it (Genesis 1:28). And indeed the trend of technological history is towards increasing mastery over our world. Inventors deliberately invent, but many inventions are useless or even harmful. Why is there progress and how certain is the process? Part of the answer is that good ideas catch on and bad ones get weeded out. Reality, however, is more complicated: what is 'good' or 'bad' is not always clear; unintended consequences cannot be predicted; and some ideas get lost while others get entrenched. Mastering the darkness and chaos of creation is a huge engineering challenge. But more than that, progress is painful and uncertain and the challenge is not only technological.

An example of the weeding-out process, by which our mastery improves, comes to us in Hammurabi's code of law from 38 centuries ago:

"If a builder build a house for some one, and does not construct it properly, and the house which he built fall in and kill its owner, then that builder shall be put to death. If it kill the son of the owner the son of that builder shall be put to death." (Articles 229-230)

Builders who use inferior techniques, or who act irresponsibly, will be ruthlessly removed. Hammurabi's law doesn't say what techniques to use; it is a mechanism for selecting among techniques. As the level of competence rises and the rate of building collapse decreases, the law remains the same, implicitly demanding better performance after each improvement.

Hammurabi's law establishes negative incentives that weed out faulty technologies. In contrast, positive incentives can induce beneficial invention. John Harrison (1693-1776) worked for years developing a clock for accurate navigation at sea, motivated by the Royal Society's 20,000 pound prize.

Organizations, mores, laws and other institutions explain a major part of how good ideas catch on and how bad ones are abandoned. But good ideas can get lost as well. Jared Diamond relates that bow and arrow technologies emerged and then disappeared from pre-historic Australian cultures. Aboriginal mastery of the environment went up and then down. The mechanisms or institutions for selecting better tools do not always exist or operate.

Valuable technologies can be "side-lined" as well, despite apparent advantages. The CANDU nuclear reactor technology, for instance, uses natural Uranium. No isotope enrichment is needed, so its fuel cycle is disconnected from Uranium enrichment for military applications (atom bombs use highly enriched Uranium or Plutonium). CANDU's two main technological competitors - pressurized and boiling water reactors - use isotope-enriched fuel. Nuclear experts argue long (and loud) about the merits of various technologies, but no "major" or "serious" accidents (INES levels 6 or 7) have occurred with CANDU reactors but have with PWRs or BWRs. Nonetheless, the CANDU is a minor contributor to world nuclear power.

The long-run improvement of technology depends on incentives created by attitudes, organizations and institutions, like the Royal Society and the law. Technology modifies those attitudes and institutions, creating an interactive process whereby society influences technological development, and technology alters society. The main uncertainty in technological progress arises from unintended impacts of technology on mores, values and society as a whole. An example will make the point.

Early mechanical clocks summoned the faithful to prayer in medieval monasteries. But technological innovations may be used for generations without anyone realizing their full implications, and so it was with the clock. The long-range influence of the mechanical clock on western civilization was the idea of "time discipline as opposed to time obedience. One can ... use public clocks to summon people for one purpose or another; but that is not punctuality. Punctuality comes from within, not from without. It is the mechanical clock that made possible, for better or for worse, a civilization attentive to the passage of time, hence to productivity and performance." (Landes, p.7)

Unintended consequences of technology - what economists called "externalities" - can be beneficial or harmful. The unintended internalization of punctuality is beneficial (maybe). The clock example illustrates how our values gradually and unexpectedly change as a result of technological innovation. Environmental pollution and adverse climate change are harmful, even when they result from manufacturing beneficial consumer goods. Attitudes towards technological progress are beginning to change in response to perceptions of technologically-induced climate change. Pollution and climate change may someday seriously disrupt the technology-using societies that produced them. This disruption may occur either by altering social values, or by adverse material impacts, or both.

Progress occurs in historical and institutional context. Hammurabi's Code created incentives for technological change; monastic life created needs for technological solutions. Progress is uncertain because we cannot know what will be invented, and whether it will be beneficial or harmful. Moreover, inventions will change our attitudes and institutions, and thus change the process of invention itself, in ways that we cannot anticipate. The scientific engineer must dispel the "darkness over the deep" (Genesis 1:2) because mastery comes from enlightenment. But in doing so we change both the world and ourselves. The unknown is not only over "the waters" but also in ourselves.






nes

New History of Psychiatry: Melancholy, Madness, Chinese Psychiatry, Psychedelic Therapy, and More

The June 2020 issue of History of Psychiatry is now online. Full details follow below: “Wild melancholy. On the historical plausibility of a black bile theory of blood madness, or hæmatomania,” Jan Verplaetse. Abstract: Nineteenth-century art historian John Addington Symonds coined the term hæmatomania (blood madness) for the extremely bloodthirsty behaviour of a number of … Continue reading New History of Psychiatry: Melancholy, Madness, Chinese Psychiatry, Psychedelic Therapy, and More




nes

What Loneliness Does To Your Immune System (M)

Five natural ways to boost the immune system.

Support PsyBlog for just $5 per month. Enables access to articles marked (M) and removes ads.

→ Explore PsyBlog's ebooks, all written by Dr Jeremy Dean:




nes

What are the Most Effective Pick-Up Lines? Here’s What the Science Says

For decades, researchers have been studying the effectiveness of different kinds of pick-up lines in order to better understand the psychology of attraction. What they’ve found is that certain types of lines definitely seem to work better than others—and the results have been surprisingly consistent over the years.




nes

How women are revolutionizing Rwanda | Agnes Binagwaho

In 1996, Agnes Binagwaho returned home to Rwanda in the aftermath of its genocide. She considered leaving amid the overwhelming devastation, but women in her community motivated her to stay and help rebuild -- and she's glad she did. In an inspiring talk, Binagwaho reflects on her work as Rwanda's former Minister of Health and discusses her new women's education initiative for the country, which strives to create one of the greatest levels of gender equality worldwide.




nes

The gender-fluid history of the Philippines | France Villarta

In much of the world, gender is viewed as binary: man or woman, each assigned characteristics and traits designated by biological sex. But that's not the case everywhere, says France Villarta. In a talk that's part cultural love letter, part history lesson, he details the legacy of gender fluidity and inclusivity in his native Philippines -- and emphasizes the universal beauty of all people, regardless of society's labels.




nes

The dangers of a noisy ocean -- and how we can quiet it down | Nicola Jones

The ocean is a naturally noisy place full of singing whales, grunting fish, snapping shrimp, cracking ice, wind and rain. But human-made sounds -- from ship engines to oil drilling -- have become an acute threat to marine life, says science journalist Nicola Jones. Watch (and listen) as she discusses the strange things that happen to underwater creatures in the face of ocean noise pollution -- and shares straightforward ways we can dial down the sound to see almost immediate impacts.




nes

A fascinating time capsule of human feelings toward AI | Lucy Farey-Jones

How comfortable are you with robots taking over your life? Covering a wide range of potential applications -- from the mundane (robot house cleaner) to the mischievous (robot sex partner) to the downright macabre (uploading your brain to live on after death) -- technology strategist Lucy Farey-Jones shares data-backed evidence of how our willingness to accept AI may be radically changing.




nes

How forgiveness can create a more just legal system | Martha Minow

Pardons, commutations and bankruptcy laws are all tools of forgiveness within the US legal system. Are we using them frequently enough, and with fairness? Law professor Martha Minow outlines how these merciful measures can reinforce racial and economic inequality -- and makes the case for creating a system of restorative justice that focuses on accountability and reconciliation rather than punishment.




nes

A new way to "grow" islands and coastlines | Skylar Tibbits

What if we could harness the ocean's movement to protect coastal communities from rising sea levels? Designer and TED Fellow Skylar Tibbits shows how his lab is creating a dynamic, adaptable system of underwater structures that uses energy from ocean waves to accumulate sand and restore eroding shorelines -- working with the forces of nature to build rather than destroy.




nes

How American and Chinese values shaped the coronavirus response | Huang Hung

To combat COVID-19, countries have enforced city-wide shutdowns, stay-at-home orders and mask mandates -- but the reaction (and adherence) to these rules has differed markedly in the East and West. In conversation with TED's head of curation Helen Walters, writer and publisher Huang Hung sheds light on how Chinese and American cultural values shaped their responses to the outbreak -- and provides perspective on why everyone needs to come together to end the pandemic. (Recorded April 16, 2020)




nes

The Latest in a Season of Protests: N.C. Teachers Will Rally on Wednesday

Thousands of teachers will head to the state capital on Wednesday to call for a nearly $10,000 raise over four years and an increase to per-pupil spending.




nes

Tennessee voucher program challenge heads to court Wednesday




nes

Judge weighs Tennessee voucher program arguments




nes

Alabama official outlines phased plan to reopen schools




nes

Judge rules Tennessee's voucher law is unconstitutional




nes

Judge blocks Tennessee from implementing voucher program




nes

Clark County School District postpones graduation ceremonies




nes

Pointillism in 1st Grade? Teachers Use Unfamiliar Lessons to Mine for Giftedness

Some districts are using new “response lessons” to identify the talented students that traditional assessments miss.




nes

Alabama official outlines phased plan to reopen schools




nes

A Look at Teacher Improvement in Tennessee

A state department leader outlines what Tennessee is learning about teacher improvement and where the state still needs to learn more.




nes

How Teachers' Insights Inform State Policy in Tennessee

Teachers in Tennessee have an important voice in shaping state initiatives and policies.




nes

Tennessee Teachers Have Warmed to Evaluation System, But Not State Tests

Tennessee improved its teacher evaluation and training systems by integrating data and teacher voice, according to a new report. But value-added measures that evaluate teachers based on student test scores remain controversial.




nes

Tennessee School District Prohibits Crowdfunding for Class Supplies

A school district in Tennessee says it no longer wants teachers to use crowdfunding websites to get extra school supplies.




nes

Educational Opportunities and Performance in Tennessee

This Quality Counts 2019 Highlights Report captures all the data you need to assess your state's performance on key educational outcomes.




nes

Tennessee Seeks New Teacher, Principal Requirements in 'Science of Reading'

The Tennessee department of education is proposing unsually comprehensive legislation that will require all current and new K-3 teachers, and those who train them, to know evidence-based reading instruction.




nes

Educational Opportunities and Performance in Tennessee

This Quality Counts 2020 Highlights Report captures all the data you need to assess your state's performance on key educational outcomes.




nes

Tennessee voucher program challenge heads to court Wednesday




nes

Judge weighs Tennessee voucher program arguments




nes

Court Bars Tennessee From Starting School Voucher Program

A court said legislators violated the state's constitution when they passed a law that targeted specific areas to be included in the program without local consent.




nes

Judge rules Tennessee's voucher law is unconstitutional




nes

Judge blocks Tennessee from implementing voucher program




nes

Tennessee voucher program challenge heads to court Wednesday




nes

Judge weighs Tennessee voucher program arguments




nes

Alabama official outlines phased plan to reopen schools




nes

Judge rules Tennessee's voucher law is unconstitutional




nes

Judge blocks Tennessee from implementing voucher program




nes

Minnesota bans large-scale high school graduation ceremonies




nes

Why Some States Keep Schools Closed, Even as Businesses Move to Reopen

As some states move to jump-start economies shut down by the coronavirus, most are keeping their school buildings shuttered. What makes schools such an outlier?




nes

New Jersey Postpones PARCC Exam After Technical Problems

New Jersey is one of many states that have experienced problems with the online administering of standardized testing this year.




nes

Hacked and Cut Off From the Public: This Is School Board Business in the Coronavirus Crisis

Social distancing is forcing school business to be conducted virtually, putting school boards in the difficult spot of making crucial decisions on spending and other issues without the same level of public input.




nes

Oregon State AD Scott Barnes reassures Beaver football will be played

"One scenario we are not working on is not playing football."




nes

Philip Rivers lines up a high school coaching job for after he retires

Colts quarterback Philip Rivers is signed for the 2020 season and he hasn't made any decisions about whether he'll keep playing in 2021, but it looks like he knows what he'll be doing when he does hang up his helmet. Rivers said when he signed with the Colts that he looked forward to coaching his [more]




nes

Knowledge sharing for the development of learning resources : theory, method, process and application for schools, communities and the workplace : a UNESCO-PNIEVE resource / by John E. Harrington, Professor Emeritis.

The Knowledge Sharing for the Development of Learning Resources tutorial provides a professional step forward, a learning experience that leads to recognition that your leadership is well founded as well as ensuring that participants in the development of learning resources recognize they are contributing to an exceptional achievement.




nes

Don't worry about the rent : choosing new office space to boost business performance / Darren Bilsborough.




nes

Employment contracts : getting them right for your clients... and for your own business! / presented by Kaz Eaton, Flinders Chambers.