Can We Truly Predict the Future Based on Known Conditions?

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Discussion Overview

The discussion centers around the ability to predict future events based on known conditions, exploring the implications of such predictions in various contexts, including physics, engineering, and social systems. Participants examine the limitations and complexities involved in making accurate predictions as systems become more intricate.

Discussion Character

  • Exploratory
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant suggests that predictions can be made accurately when there is a good understanding of the conditions surrounding an event, but acknowledges that reliance on predictions can lead to decreased accuracy over time.
  • Another participant notes that while simple actions like dropping a ball can be easily modeled, predicting outcomes in complex systems becomes significantly more challenging due to the lack of real-time data and adequate models.
  • A different viewpoint emphasizes the importance of accurate modeling in fields like engineering and business, implying that these disciplines strive for reliable predictions.
  • One participant references Mark Twain's take on the scientific method and predictions, hinting at the inherent uncertainties in forecasting the future.
  • Another participant mentions Asimov's Foundation Trilogy as an extreme exploration of predictive concepts, suggesting a literary perspective on the topic.

Areas of Agreement / Disagreement

Participants express a range of views on the predictability of future events, with some agreeing on the challenges posed by complex systems while others highlight the successes in simpler contexts. The discussion remains unresolved with multiple competing perspectives on the nature and feasibility of predictions.

Contextual Notes

Limitations include the dependence on the complexity of systems being modeled, the availability of relevant data, and the adequacy of existing models for making predictions.

Nernico
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Consider holding a weight in your hand, now consider if I/you release this weight I/you would reasonably assume that it will fall, depending on the weight and properties of the weight I could then make further predicitions of what will happen after it has fallen. Having made this prediction I could, with some accuracy, predict the future effects of the 'falling' event if my previous predicition were true. I would like to open this discusion by suggesting that we can accuratly predict events where we have a good knowledge of the conditions of the event also we can fairly accurately predict the events caused by this event given sufficient knowledge but the more we reley on our predictions the less accurate future ones will be.
 
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This is just attribution of simple foresight. We have a good model based on previous experience as to how a simple action like dropping a ball will play out. Simulating/imagining what will happen and planning is simple.

This doesn't exactly scale however. We might be great at modelling day-to-day movements, actions of people we know etc but the more complex a system you try to model the harder it becomes to predict what will happen. This is particularly compounded by not having relevant real-time data and not having a sufficient model to predict with. With regards to large, complex issues (particularly political and social) the problems become wicked problems because we lack the basic means of even defining what it is we need to observe and how to model it.
 
I think this is fairly obvious, not only in engineering but also in business where great effort is put into developing accurate business models.

Read the Foundation Trilogy by Isaac Asimov to see your idea taken to the extreme.
 
Predicting the future is what the scientific method is all about, isn't it?

I think one should also take note of Mark Twain's version of the scientific method and predicting the future:

...And by the same token any person can see that seven hundred and forty-two years from now the Lower Mississippi will be only a mile and three-quarters long...
 
I've always been able to look at a girl and tell whether.
 
""Read the Foundation Trilogy by Isaac Asimov to see your idea taken to the extreme.""

and his short stories about "Thiotimoline", a substance that dissolves a fraction of a second before it contacts water...
 

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