Recommended reading for background to the gambling discussion below: Geralomo 
Cardano (1501-1576), *Liber de Ludo Aleae*, "The Book of Games of Chance,"

davew


On Sat, Apr 18, 2020, at 3:35 PM, David Eric Smith wrote:
> Yes, both Eric C. and Marcus have already answered this better than what I am 
> about to say, because they have already abstracted it into concepts. But I 
> will put only a particular.
> 
> I got this from the polymath Elwyn Berlekamp (who did run a hedge fund) in 
> the kitchen on an Erdos-like visit by him to Santa Fe.
> 
> The conceptually phrased problem is: what is the deterministic response (“a 
> practice”) to a distributional input as object?
> 
> Suppose you are playing a betting game, and you know the set of possible 
> outcomes, and the probabilities of each. (Can be poker, though that is 
> complicated enough to take work to describe. A simple double-or-nothing 
> roulette would be a minimal model). 
> 
> You have some money. You can put some of your money as a bet for as many 
> outcomes as you want. Bets have some smallest denomination, so it is possible 
> for you to lose everything for some allocations. How do you allocate?
> 
> 1. If you want to maximize your expected payoff in one play, you put all your 
> money on whichever outcome is most likely.
> 
> 2. If you wish to play repeatedly, and you want to both avoid going broke and 
> to maximize your long-term payout, you bet a fraction of your money 
> proportional to the probability of each outcome (or as close as you can get 
> to that with your finite denomination), in every round. I think one of the 
> Bernoullis solved this in 1700-something, and it is widely taught. I was just 
> raised in a woodshed, so I didn’t know about it until Elwyn came by. Your 
> expected rate of growth of your pot is proportional to the relative entropy 
> between your distribution of bets and the distribution of probabilities of 
> the various outcomes. I’m pretty sure this is in Cover and Thomas’s Elements 
> of Information Theory. If your starting pot is finite, your probability of 
> survival to round-N is some other function, now of both distributions and how 
> finely you can divide the money, and there is some distribution of likely 
> survival times that can also be computed. (Remember that there is no way you 
> can be assured to survive; if you make bad distributions and lose more than 
> you gain in too many rounds, you will eventually have too little to be able 
> to place nonzero bets on every outcome with your nonzero denomination, and 
> will start to run nonzero risks of losing all.)
> 
> Ole Peters has built a whole privately-funded institute on this specific 
> metaphor, which he packages in terms of expected utility:
> http://lml.org.uk/people/ole-peters-2/
> But of course endlessly more sophisticated variants are developed in almost 
> any field I can think of.
> 
> So, for elections? Maybe something about investment in state and local 
> organizing, how much attention the national committee gives to on-the-ground 
> organizations and what they say their constituents are asking for, capture of 
> congressional seats, a strategic view of what happens if legislatures won’t 
> make laws so that court interpretations become the de facto origins of 
> legal-precedent-as-new-law, feeding back to which elections are 
> consequential. Stuff like that.
> 
> Of course, for all of those things, more is always better. But on a budget, 
> how you prioritize the time/attention/work you can get out of citizens to 
> support your projects should depend on what the mechanics of the process is 
> through time.
> 
> Eric
> 
>> On Apr 19, 2020, at 5:16 AM, <thompnicks...@gmail.com> 
>> <thompnicks...@gmail.com> wrote:
>> 
>> But Eric,
>> 
>> If, over his career, Nate's site gives a 2/3 vs 1/3 split 1,000 ti mes, and 
>> something near 333 times the 1/3 split wins, I think he gets to declare 
>> himself accurate
>> 
>> How is that practicial? I.e., how can we base a practice on it? Nate’s 
>> career isn’t over yet?
>> 
>> Nick
>> Nicholas Thompson
>> Emeritus Professor of Ethology and Psychology
>> Clark University
>> thompnicks...@gmail.com
>> https://wordpress.clarku.edu/nthompson/
>> 
>> 
>> 
>> *From:* Friam <friam-boun...@redfish.com> *On Behalf Of *Eric Charles
>> *Sent:* Saturday, April 18, 2020 1:59 PM
>> *To:* The Friday Morning Applied Complexity Coffee Group <friam@redfish.com>
>> *Subject:* Re: [FRIAM] anthropological observations
>> 
>> If, over his career, Nate's site gives a 2/3 vs 1/3 split 1,000 ti mes, and 
>> something near 333 times the 1/3 split wins, I think he gets to declare 
>> himself accurate. 
>> 
>> Similarly, a modern poker pro isn't trying to guess what the opponent has. 
>> The modern player is trying to put the opponent on a spread of possible 
>> hands under the circumstances. The outcome of any given hand doesn't matter, 
>> and there is an expected amount of variance in performance even under a 
>> game-theoretic perfect strategy. The question is whether the strategy pays 
>> out in the long run, and whether the player has a deep enough bankroll (in 
>> comparison to the stakes they are playing at) to ride out the variance. If 
>> you think the pro is doing something else, you probably are still a very 
>> long way from getting to that level. 
>> 
>> 
>> 
>> -----------
>> Eric P. Charles, Ph.D.
>> Department of Justice - Personnel Psychologist
>> American University - Adjunct Instructor
>> 
>> 
>> On Sat, Apr 18, 2020 at 2:32 PM <thompnicks...@gmail.com> wrote:
>>> So, Eric [Charles],

>>> 

>>> What exactly were the *practicial* consequences of declaring that Hillary 
>>> was “probably” going to win the election or that a full house was probably 
>>> going to win the pot given she lost and the dealer held a strait flush? 

>>> 

>>> Nick

>>> 

>>> Nicholas Thompson

>>> Emeritus Professor of Ethology and Psychology

>>> Clark University

>>> thompnicks...@gmail.com

>>> https://wordpress.clarku.edu/nthompson/

>>> 

>>> 


>>> *From:* Friam <friam-boun...@redfish.com> *On Behalf Of *Eric Charles
>>> *Sent:* Saturday, April 18, 2020 12:06 PM
>>> *To:* The Friday Morning Applied Complexity Coffee Group <friam@redfish.com>
>>> *Subject:* Re: [FRIAM] anthropological observations

>>> 

>>> -------- Nick says --------- Nate constantly says that making such 
>>> predictions is, strictly speaking, not his job. As long as what happens 
>>> falls within the error of his prediction, he feels justified in having made 
>>> it. He will say things like, "actually we were right." I would prefer him 
>>> to say, "Actually we were wrong, *but I would make the same prediction 
>>> under the same circumstances the next time.” *In other words, the right 
>>> procedure produced, on this occasion, a wrong result. -----------------
>>> 
>>> Well... so this connects a lot with poker, which I am in the process of 
>>> teaching the 10 year old... If I recall, Nate was giving Trump a 1/3 chance 
>>> of victory, which was much higher than most of the other models at the 
>>> time. You can hardly fault someone because something happened that they 
>>> said would happen 2/3 of the time. 
>>> 
>>> If a poker player has a model that predicts a given play to be the best 
>>> option, because it will work 2/3 of the time, and this one time it doesn't 
>>> work, that isn't grounds to say the model failed. 
>>> 
>>>  YOU want the modelers to have models that rarely give anything close to 
>>> even odds. So do I, so I'm sympathetic. But the modeler might prefer a more 
>>> honest model, that includes more uncertainty, for a wide variety of 
>>> reasons. 

>>> 
>>> -----------


>>> Eric P. Charles, Ph.D.
>>> Department of Justice - Personnel Psychologist

>>> American University - Adjunct Instructor

>>> 

>>> 

>>> On Sat, Apr 18, 2020 at 12:17 PM uǝlƃ ☣ <geprope...@gmail.com> wrote:


>>>> I think it's interesting that you seemed to have *flipped* your thinking 
>>>> within the same post. You restate my point about conceptual metaphors by 
>>>> saying models/computation merely *justifies* decisions/rhetoric. Then a 
>>>> few paragraphs later, you suggest that's conflating language with thought.
>>>> 
>>>> My diatribe to Nick was that he *uses* metaphors/models simply to impute 
>>>> his conceptual structure onto Nate. Nick's decision is already made and he 
>>>> wants Nate's work to justify it. And the way he *imputes* his conceptual 
>>>> structure into Nate's work is through the sloppy use of metaphor. Then 
>>>> when Nate tells Nick (indirectly) that Nick's wrong about what Nate's 
>>>> done, Nick rejects Nate's objection.
>>>> 
>>>> I'm picking on Nick, of course. We all do it. I wish we all did it much 
>>>> less.
>>>> 
>>>> On 4/18/20 6:14 AM, Steven A Smith wrote:
>>>> > But frankly as often as not, I saw
>>>> > them use our work to *justify* the decision they had already made or
>>>> > were leaning heavily toward, *apparently* based on larger strategic
>>>> > biases. 
>>>> > 
>>>> > [...]
>>>> > 
>>>> > As for your gut-level (and often well articulated) mistrust of
>>>> > "metaphorical thinking", you may conflate a belief (such as mine) that
>>>> > language is metaphorical at it's base with being a "metaphorical
>>>> > thinker". Metaphor gets a bad rap/rep perhaps because of the
>>>> > "metaphorical license" often taken in creative arts (albeit for a
>>>> > different and possibly higher purpose). 
>>>> 
>>>> -- 
>>>> ☣ uǝlƃ
>>>> 
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