He is not naive. And likely is of sound mind.
Reasonable to assume that he did what he did knowing the effect it would have on the company and its stock.
- Did he benefit from it?
- Alternately was he forced to do so by someone else who benefited? Who?
- Is this a deliberate red-herring to draw attention away from some larger problem lurking in the shadows?
A lot of guesswork right now… ![]()
When one is operating on incomplete information...
here’s a handy list of techniques/frameworks to utilize -
- if need the potential higher rewards,
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No?
- Use Maximin model to pick the approach with the best worst-case.
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Yes?
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If you have absolutely no historical data
- is the magnitude of the result potentially life-altering?
- Yes? - Regret Minimzation.
- No? - Minimax Regret.
- is the magnitude of the result potentially life-altering?
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If you have historical data with stable, predictable patterns
- use Bayesian Updating or Monte Carlo.
- Here’s an example from another topic-thread.
- use Bayesian Updating or Monte Carlo.
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If you have historical data characterized by high volatility, and current unpredictable patterns
- Use the “Probe-Sense-Respond” approach of the Cynefin framework
(to handle “Complex” scenarios)- Earlier in this topic-thread is a good example.
- Use the “Probe-Sense-Respond” approach of the Cynefin framework
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If you are planning for the future, independent of past performance
- can use Scenario Planning.
- An example from another recent topic-thread.
Note: Also contains historical modelling to first come-up with potential scenarios.
- An example from another recent topic-thread.
- can use Scenario Planning.
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