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      "body": "I've noticed that each time you press F5 to refresh a steemit page, the view count increases by 1.  Theoretically one could repeatedly refresh the page in increase their view count substantially.  Is there a more sophisticated way of counting number of page views (e.g. only counting once per user per period of time for instance?)",
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      "body": "I'm also out of funds, please donate.",
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      "author": "llawliet",
      "body": "@@ -241,16 +241,84 @@\n fered.%0A%0A\n+http://www.elcuatro.net/wp-content/uploads/2014/05/112-300x199.jpg%0A%0A\n Much of \n",
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      "author": "llawliet",
      "body": "Yes very interesting idea.  We see purpose in day to day tasks, but when we attempt to drill down to the fundamental reason why we do what we do, we struggle.  I believe we may ultimately be motivated by pleasure and avoiding pain, and thus one might argue these become the goal in life (even if this has no meaning per se).  Many won't worry about meaning too much when feeling great pleasure or pain.",
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      "author": "llawliet",
      "body": "Looks delicious!",
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      "body": "For millennia humans have been intrigued by the nature of risk and reward and the puzzle of finding where the optimal balance between these lies.  That is, the puzzle of determining when a decision become too risky relative to the reward offered.\n\nMuch of modern decision theory is based on the expected utility hypothesis, where it is assumed that \"rational\" individuals faced with multiple options with uncertain outcomes (e.g. investing in shares or investing in property), will choose the option that provides them with, on average, the highest utility.  For financial decisions, utility may be related to monetary value, but not necessarily equal to the monetary amount.  For example an investor may view their first $1m being more useful to them then their subsequent $1m and may thus value $2m as being slightly less useful than twice the utility of $1m.  Modern portfolio theory is also based on similar ideas, where it is often assumed investors wish to maximise return for a given level of volatility/risk, or minimise risk/volatility for a given level of return (e.g. in deriving the CAPM model of finance).\n\nWhile there is considerable merit in these approaches, many questions still remain when attempting to explain human behaviour.  Under the expected utility hypothesis, an implication of the theory is that one will equally prefer an option with a certain outcome of utility X, to a gamble where the average outcome of the gamble has utility X.  In reality most individuals will choose a certain utility of X rather than take the gamble, particularly when the value of X is large.  Psychological experiments have shown this to often be the case, and expected utility theory would classify such behaviour as irrational.  Modern portfolio theory leaves questions unanswered also.   The theory does allow one to conclude that one risky asset can be preferred over another if both assets share the same level of risk but differ in expected returns.  The theory however doesn't allow one to compare two assets where each asset has both a different return and a different volatility.\n\nIt can be seen that in both expected utility theory and modern portfolio theory, the focus is on returns however it is my belief that avoiding ruin plays a fundamental role in decision theory and that this is ignored in many modern treatments of risk.  While it is true individuals appear to maximise returns or utility, it may be that this is just the symptom of the underlying drive to minimise risk of ruin.  By accumulating more resources, one is more resistant to unexpected shocks.  One notable mathematical approaches that at considers the idea of ruin in decision making is the Kelly criterion.\n\nThe Kelly criterion is a mathematical rule that determines what proportion of one's wealth should be invested in any gamble that will ensure maximum possible returns over time.  The idea is that if you bet too much of your wealth, even on a favourable bet, there is a risk you will lose a large portion of your wealth (or even all of it) which will limit your ability to make favourable bets in the future.  If you bet too little of your wealth however you are foregoing the opportunity to maximise returns.  An optimal proportion of wealth can thus be derived in order to maximise long term returns.  This idea that losing a large part (or all) of your wealth limits your ability to make long term gains is a missing element of the earlier two approaches to decision theory.  Most view the Kelly criterion as a model for maximising returns (with survival as a consequence), and while this is a valid interpretation, the Kelly criterion would also likely arise if one where to assume survival as being the fundamental decision making element.\n\nBy using ruin aversion as fundamental, one can begin to explain various paradoxes that are present in traditional expected utility theory that are often simply explained away as being \"irrational\".  For example, if ruin aversion is fundamental, it is clear that one will prefer a certain outcome with utility of X over the gamble with average utility X, because the greater volatility present in the gamble will increase one's risk of ruin.  Similarly the unanswered question raised above concerning mean variance portfolio theory, that is comparing two assets with both different returns and volatility, may be tackled by assessing the probability of ruin in each case.  Perhaps by assessing the risk of ruin, one could derive the optimal levels of returns required for particular levels of risk, and particular levels of wealth.\n\nThe idea isn't glamorous, in that psychologically we usually have more fun seeking great rewards than merely putting safety first, however this element of enjoyment from gains may simply be an evolved trait to ultimately allow us to progress and further reduce our risk of ruin.",
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      "body": "I'm also receiving this error when attempting to make my first post.",
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