[HN Gopher] The Flaw of Averages (2020)
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       The Flaw of Averages (2020)
        
       Author : refrigerator
       Score  : 30 points
       Date   : 2024-05-14 07:14 UTC (1 days ago)
        
 (HTM) web link (causal.app)
 (TXT) w3m dump (causal.app)
        
       | dang wrote:
       | Discussed at the time:
       | 
       |  _Forecasting with uncertainty_ -
       | https://news.ycombinator.com/item?id=22842847 - April 2020 (20
       | comments)
        
       | mjburgess wrote:
       | The mean of a set of measures is only characteristic of those
       | measures if the error in each is random, ie., if there's equally
       | probably positive errors, vs. negative.
       | 
       | We teach means as something somehow fundamental and commonly
       | useful; but they're rarely useful and highly derivative.
        
       | SkyMarshal wrote:
       | At the end he gives two ways running Monte Carlo simulations,
       | spreadsheet plugins, and his own app Casual. Surely there are
       | more. Are there other tools for Monte Carlo sims that HN'ers use
       | and like? Preferably local FOSS apps?
        
         | jmount wrote:
         | STAN is an industrial grade Monte Carlo realization.
        
           | SkyMarshal wrote:
           | Thanks!
           | 
           | https://github.com/stan-dev
           | 
           | https://mc-stan.org/docs/reference-
           | manual/mcmc.html#hamilton...
        
         | adammarples wrote:
         | Pymc3
        
           | SkyMarshal wrote:
           | Thanks!
           | 
           | https://www.pymc.io/
        
         | tunesmith wrote:
         | You can do a monte carlo simulation in a spreadsheet without a
         | plugin, too. For each of the inputs, create a column where the
         | cell retrieves a random value according to the probability
         | distribution you pick. Then, drag down 1000 rows or 10000 rows
         | or whatever, and finally calculate percentiles based off of the
         | outputs of each row.
         | 
         | A few years ago when I met my now-wife, I was paying a mortgage
         | and she was paying rent, and we wanted to get an idea of what
         | we could afford if we wanted to stick with the budget were were
         | already comfortable with. So the inputs were the possible sale
         | price of my house, the possible interest rate of the new
         | mortgage, etc. We experienced what the article describes; while
         | we were quite conservative about each of all of those elements,
         | the 99th percentile was a lot less conservative than the worst-
         | case scenario of each and every input we plugged in, and it
         | gave us an accurate target of what kind of home price we felt
         | we could actually afford.
        
       | m0llusk wrote:
       | This is kind of rude in that it uses the term "The Flaw of
       | Averages" as well as some ideas and even an image from the book
       | by the same name by Sam Savage and Jeff Danziger but gives them
       | no credit. If you can't come up with your own expressions and
       | drawings then you should credit the source that you end up using.
        
       | tqi wrote:
       | > but it's very rare for everything to go wrong all of the time.
       | 
       | I think in reality the inputs to these models are a lot less
       | independent than they would like. Even in the example at the
       | start of the article, I suspect that for most folks income from a
       | side hustle and investment rate of return are both highly
       | correlated to the overall economic conditions. Attempting to add
       | statistical rigor to something as open ended as predicting the
       | future feels quixotic.
        
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