Forecasting Newsletter. July 2020.



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Prediction Markets & Forecasting Platforms.

Ordered in subjective order of importance:

	# Variable: Number of ice creams an unsupervised child has consumed, 
	# when left alone in an ice cream shop.   

	# Current time (hours passed)  

	# Scenario with lots of uncertainty
	w_1 = 0.75 ## Weight for this scenario.
	min_uncertain(t) = t*2
	max_uncertain(t) = t*20

	# Optimistic scenario
	w_2 = 0.25 ## Weight for the optimistic scenario
	min_optimistic(t) = 1*t
	max_optimistic(t) = 3*t
	mean(t) = (min_optimistic(t) + max_optimistic(t)/2)
	stdev(t) = t*(2)^(1/2)

	# Overall guess
	## A long-tailed lognormal for the uncertain scenario
	## and a tight normal for the optimistic scenario

	mm(min_uncertain(t) to max_uncertain(t), normal(mean(t), stdev(t)), [w_1, w_2])

	## Compare with: mm(2 to 20, normal(2, 1.4142), [0.75, 0.25])

New undertakings

Negative Examples.

News & Hard to Categorize Content.

Long Content.

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“horses for courses, the way you do the forecast, the way you present it depends on what you’re trying to achieve with it”