[R] A general question about using Bayes' Theorem for calculating the probability of The End of Human Technological Civilisation
Philip Rhoades
ph|| @end|ng |rom pr|com@com@@u
Wed Mar 20 07:58:06 CET 2019
David,
On 2019-03-20 12:38, David Winsemius wrote:
> On 3/19/19 12:49 PM, Jeff Newmiller wrote:
>> Highly off topic. Try StackOverflow.
>>
> As it stands it's off-topic for SO. (You would just be making more
> work for those of us who know the rules but need 4 close votes for
> migration.) Better would be immediately posting at CrossValidated.com
> (i.e., stats.stackexchange.com)
Thanks - I will check that out . .
P.
> --
>
> David.
>
>>
>> On March 19, 2019 10:42:24 AM PDT, Philip Rhoades <phil using pricom.com.au>
>> wrote:
>>> People,
>>>
>>> I have only a general statistics understanding and have never
>>> actually
>>> used Bayes' Theorem for any real-world problem. My interest lies in
>>> developing some statistical approach for addressing the subject above
>>> and it seems to me that BT is what I should be looking at? However,
>>> what I am specifically interested in is how such a work-up would be
>>> developed for a year-on-year situation eg:
>>>
>>> I think it is likely that TEHTC could be triggered by a multi-gigaton
>>> release of methane from the Arctic Ocean and the Siberian Permafrost
>>> in
>>>
>>> any Northern Hemisphere Summer from now on (multiple physical and
>>> non-physical, human positive feedback loops would then kick in).
>>>
>>> So, say my estimate (Bayesian Prior) is that for this coming (2019)
>>> NHS
>>>
>>> the chance of this triggering NOT occurring is x%. The manipulation
>>> is
>>>
>>> then done to calculate the posterior for 2019 - but for every
>>> successive
>>> year (given the state of the world), isn't it true that the chance of
>>> a
>>>
>>> triggering NOT occurring in the NHS MUST go down? - ie it is just an
>>> argument about the scale of the change from year to year?
>>>
>>> It seems to be that the posterior for one year becomes the prior for
>>> the
>>> next year? Once the prior gets small enough people won't bother with
>>> the calculations anyway . .
>>>
>>> Does anyone know of any existing work on this topic? I want to write
>>> a
>>>
>>> plain-English doc about it but I want to have the stats clear in my
>>> head
>>> . .
>>>
>>> Thanks,
>>>
>>> Phil.
--
Philip Rhoades
PO Box 896
Cowra NSW 2794
Australia
E-mail: phil using pricom.com.au
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