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Explore What Others Are Building

Here is a sample of public Insights made by Insight Maker users. This list is auto-generated and updated daily.

Insight diagram
As initially proposed by Pr. William M White of Cornell University:

http://www.geo.cornell.edu/eas/education/course/descr/EAS302/302_06Lab11.pdf
http://www.eas.cornell.edu/
Global Carbon Cycle
Profile photo France Caron
573
Insight diagram
See also aging and wisdom insight
Sleep Alzheimer's and Brain Health
Profile photo Geoff McDonnell
3 weeks ago
Insight diagram
This is a simplified picture of the system dynamics of an RBMK nuclear reactor highlighting its design flaws. Two reinforcing feedback loops and one negative loop, along with significant human disregard for safety led to the events of April 1986.

For an entertaining, albeit inaccurate at times, presentation, watch the HBO miniseries clip on YouTube: https://www.youtube.com/watch?v=TmIEI4ky-Zc

Try: Tools > Identify Loops to see details.
Chernobyl: How an RBMK Nuclear Reactor Explodes
Profile photo Alan
3 weeks ago
Insight diagram
Simulating Hyperinflation for 3650 days.

If private bond holdings are going down and the government is running a big deficit then the central bank has to monetize bonds equal to the deficit plus the decrease in private bond holdings.  We don't show the details of the central bank buying bonds here, just the net results.

See blog at http://howfiatdies.blogspot.com for more on hyperinflation, including a hyperinflation FAQ.
Hyperinflation Simulation
Profile photo Vincent Cate
14
Insight diagram

This model is derived from the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman. See Insight 752 for a causal loop version of this model.

@LinkedIn, Twitter, YouTube

Credit Never Happened Simulation
Profile photo Gene Bellinger
30
Insight diagram
Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19.

With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease.

We start with an SIR model, such as that featured in the MAA model featured in
https://www.maa.org/press/periodicals/loci/joma/the-sir-model-for-spread-of-disease-the-differential-equation-model

Without mortality, with time measured in days, with infection rate 1/2, recovery rate 1/3, and initial infectious population I_0=1.27x10-4, we reproduce their figure

With a death rate of .005 (one two-hundredth of the infected per day), an infectivity rate of 0.5, and a recovery rate of .145 or so (takes about a week to recover), we get some pretty significant losses -- about 3.2% of the total population.

Resources:
  1. http://www.nku.edu/~longa/classes/2020spring/mat375/mathematica/SIRModel-MAA.nb
  2. https://www.maa.org/press/periodicals/loci/joma/the-sir-model-for-spread-of-disease-the-differential-equation-model
Coronavirus: A Simple SIR (Susceptible, Infected, Recovered) with death
Profile photo Andrew E Long
62