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Context for this filter:

    • LEARNING GOALS  

      • B. CONCEPT ACQUISITION
        • There are non-RCT forms of evidence for causal hypotheses, which are less conclusive than RCTs but together can offer strong evidence for causation. These include:
    • EXAMPLES

      • Exemplary Quotes
    • EXAMPLES  

      • Exemplary Quotes
        • “Ok, I agree that ‘correlation doesn’t prove causation’ in general, but in a case like this where we have lots of other kinds of evidence it sure gives us a pretty strong guess about causation.”
        • “There is an answer to this causal question.  Just because we can’t ethically do a randomized controlled study with these patients, it doesn’t mean that we can’t make progress establishing the causal link between these treatment options and the outcome.   After all, we have pretty good evidence that the energy from the sun is caused by nuclear fusion and we haven’t done any randomized controlled experiments!”
        • "One hundred years after that, French chemist Antoine Lavoisier used a device called an “ice calorimeter” to gauge the energy burn from animals —like guinea pigs — in cages by watching how quickly ice or snow around the cages melted. This research suggested that the heat and gases respired by animals, including humans, related to the energy they burn."
      • Cautionary Quotes: Mistakes, Misconceptions, & Misunderstandings
    • LEARNING GOALS  

      • B. CONCEPT ACQUISITION
        • There are non-RCT forms of evidence for causal hypotheses, which are less conclusive than RCTs but together can offer strong evidence for causation. These include:
          • a. Prior plausibility: Can a plausible mechanism be constructed, or is there some other basis for interpreting the current evidence in terms of one causal structure over another, such as data from other studies?  
          • b. Temporality/temporal sequence: Did the hypothesized cause precede the effect? 
          • c. Dose-response curve: Do the quantities of the hypothesized cause correlate with the quantity, severity, or frequency of the hypothesized effect across ranges?  
          • d. Consistency across contexts: Does the correlation appear across diverse contexts? 
      • C. CONCEPT APPLICATION
        • Identify additional sources of evidence that could be used to help mitigate flawed experiments, including prior plausibility, dose-response relationships, size of effect, temporal ordering, and multiple complementarily-flawed experiments.