A friend and I are arguing over ghosts.

I think it’s akin to astrology, homeopathy and palm reading. He says there’s “convincing “ evidence for its existence. He also took up company time to make a meme to illustrate our relative positions. (See image)

(To be fair, I’m also on the clock right now)

What do you think?

    • WolfLink@sh.itjust.works
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      2 months ago

      Confirmation bias is when the outcome could be adequately explained by luck.

      In the topic of near death experiences, if there are 1,000,000 near death experiences and 100 involve someone “knowing something they shouldn’t be able to”, those 100 cases are more likely to be remembered or recorded as significant than the other 900,000 cases. This can lead to an apparent statistical significance in correctly knowing “unknowable” information, when really it’s just people “guessing” correctly.

      The “black swan” scenario is a bit different but it would be something like if you are more likely to record a swan sighting if the swan is black, you will significantly overestimate the frequency of black swans.

      Im not saying the cases of apparent supernatural effects should be ignored, I’m saying they need to be taken in the context of all similar events, including the mundane, to understand if there even is an effect (knowing something that shouldn’t be possible) or if it’s just a handful of lucky guesses.

        • WolfLink@sh.itjust.works
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          2 months ago

          That’s a number I threw out there to estimate how many near death experiences might have happened, studied or not, and that’s why it’s such a problem to only focus on the anecdotal cases that get recorded because they are interesting.

          A proper study doesn’t need to include 1,000,000 cases, but it does need to ensure that it doesn’t have bias in the cases it does include.

            • clean_anion@programming.dev
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              2 months ago

              Claims of the supernatural are a subset of correct claims. We can’t comment on the supernatural aspect if all we know is that a claim is correct. This is affirming the consequent.

                • clean_anion@programming.dev
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                  2 months ago

                  I also agree that there is something that superficially seems to be supernatural. However, I believe that the reason things appear to be supernatural is because all supernatural-looking events (i.e. all correct predictions about a room) are being presented as supernatural despite random guesses accounting for a lot of these. Whether or not these events are actually supernatural may be checked by the experiment I proposed in another reply. Please do tell me your thoughts on that experiment.

            • WolfLink@sh.itjust.works
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              2 months ago

              I’m not saying “rare data in general is not valuable”.

              Not observing hawking radiation in a situation where no theory predicts hawking radiation is neither evidence for nor against the existence of hawking radiation. That would be like taking the lack of NDE in completely healthy people as evidence against NDEs.

              I’ll try to state my problem with cherry picking anecdotes about NDE more succinctly.

              My hypothesis: These NDE stories are the experience of wacky brain activity arising from near death situations.

              Supposed evidence against that hypothesis: Some of these stories involve people knowing stuff they shouldn’t have been able to know.

              My hypothesis to explain that “supernatural” knowledge:

              1. Sometimes people notice things subconsciously, and sometimes other people could have been tipped off about information in ways other people don’t realize.
              2. Sometimes people guess things correctly

              The problem with relying on anecdotes is:

              1. Memory is fallible and people’s accounts of events are often affected by discussion after the fact as well as what they “want” to think about the event
              2. This is the confirmation bias part. If you only record correct guesses, it doesn’t seem like they are guessing.

              Let’s there’s a tik tok trend and 1000 people ask someone to guess the result of 10 coin flips. One of them gets them all correct! Wow that’s amazing that person must have supernatural powers! (Nope it’s just statistics).

                • WolfLink@sh.itjust.works
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                  2 months ago

                  I don’t think any one anecdote or even a collection of anecdotes would convince me because of the explanations I layed out.

                  I can think of an experiment, which would be something like to hide a box with a computer that displays one of 3 colors, selected randomly and recorded by the computer so nobody can know what color was displayed until inspecting the computer later. Ask people if they had an out-of-body experience, and if they noticed the box and looked inside. Ask people who answered affirmatively to that what color was in the box, and do a statistical analysis of the results.

                  Even if you aren’t going to do a controlled experiment, you have to make sure your interviews of patients include every patient who had a near death experience over the course of your study.

                  Reviews of anecdotes that were only recorded because they are interesting is not a productive way to answer this question.

    • clean_anion@programming.dev
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      2 months ago

      This can be verified by asking people who have had near-death experiences whether or not they experienced something correct in their near-death experiences. Obviously, such experiences are traumatic, and multiple studies show that people can hallucinate due to the release of various neurotransmitters associated with the same.

      We want to calculate the probability that someone manifested as a ghost given that they had an interesting near-death experience. We assume that anyone having a true supernatural experience experiences visions that are absolutely true. For each person, there are two possibilities (we’ll calculate the probability of each later).

      The first possibility is that a person, in fact, experienced hallucinations. The second possibility is that a person experienced a ghostly manifestation.

      Now, we further give people an objective multiple-choice quiz about the positions of various objects in an environment. To generate this quiz, we ask each person to choose the environment they believe themselves to have manifested in. We verify that they have never been to this environment before and did not have any method of knowing about this environment (e.g., if a subject saw a person going into a room and later gave an exact description of the person in the given room, it will be disregarded). We only test people who believe that they experienced a supernatural event. All options are framed in an equivalent manner and are presented in a randomized order to remove cognitive biases and implement double-blind protocols. We further use questions with non-obvious answers such that they differ from previous implementations (e.g., a vision of a surgery table with an overhead light is obvious, and by itself, not indicative of supernatural phenomena).

      If the subject hallucinated, we assume that they have a random chance of predicting the positions of various objects. We now repeat this quiz a large number of times in accordance with the law of large numbers. If, after many repetitions, we find a sufficient deviation from the expected result (e.g., if each question had one correct answer and three incorrect answers, with the observed rate of correct answers being 50% instead of 25%), then we would have evidence supporting the existence of ghosts.

      If, however, the results show no sufficient deviation from the expected results, then we would find that the probability of a perceived encounter being supernatural is approximately zero.

      In this way, we can use scientific methods to test claims of ghost-like phenomena.

      NOTE: If we only focus on the 25% of the cases as mentioned in the above example, we find that we are not focusing on the remaining 75% of the cases. Presenting only 25% of the cases, without giving any thought to the remaining 75% of the cases is an incorrect method of analysis as explained above.