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I can't see a problem with saying that the dog spends significantly more time in the waiting spot during the owners return compared to when the owner isn't returning. If the right controls are in place and the return times are randomised then that would consitute a "paranormal" effect. |
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Charley did some experiments that demonstrated that this actually seemed to be occurring in psi experiments. |
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You can whine all you want about Wiseman's criteria being too strcit but you clearly need more rigorous criteria to demonstrate "psi" than those used by Sheldrake. |
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If you read Sheldrake's first paper he was indeed claiming that the time that Jaytee began signalling was correlated to the time that Pam began the return journey. In 20 cases Jaytee reacted at the time PS set off, or within 2 minutes of this time (Table 1). Figure 2 shows a linear regression implying that the dog's behaviour really does have predictive power. Quote:
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I think the main point is that it is imperative to have criteria for judging the success or failure of a trial set up before they are undertaken. It is imperative that these criteria really test the claims that are being made. It is inexcusable that Sheldrake has not done this in all this time. If Alex actually applies for the Randi 1 million dollar challenge he will have to do this. |
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Well, that's kind of obvious. Alex should stop now that he's lucky, but with more and more trials and more and more dogs, things are going to look a lot less impressive. Well, even now, he's just showing on YouTube his best trials, the lucky ones, but doesn't show the rest. It's kinda a filedrawer effect. He's goal is to make believers trough YouTube, not to really inform people...Last edited by Venom; 04-25-2008 at 12:44 AM.. |
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| Where's the extraordinary evidence for those extraordinary claims? Last edited by Larry Boy; 04-25-2008 at 02:59 AM.. |
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How about this? You separate the trial into ten minute intervals, then after the trial is complete, you take out the period in which the dog spends the most time at the window, and use the starting time of this period as the measure of success. If the start of the longest waiting period corresponds to the start of the return of the owner, the trial is a success. It will look like this then: Dog waiting ____________ _ _ _ _ _______________________ |10min|10min|10min|10min|10min|10min|10min|10min| Owner returning __________________________________________ |10min|10min|10min|10min|10min|10min|10min|10min| Success! Dog waiting _________ _ _ _ _ _____________________________ |10min|10min|10min|10min|10min|10min|10min|10min| Owner returning _____________________________________________ |10min|10min|10min|10min|10min|10min|10min|10min| Failure! Of course you will have to randomize the return times to make sure the dog doesn't succeed just by starting waiting at the same time every trial. Last edited by Larry Boy; 04-25-2008 at 03:43 AM.. |
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But it's entirely possible, and probable, that any predictive power such as this would be masked in an analysis where trials are classed as a failure because the dog goes to the waiting area for a few moments during the non-return period. Sheldrake may well have been looking at the temporal precision of this effect, but he was wise not to adopt Wiseman et al's criteria of 'hit' and 'miss' because that just massively increases your chances of type II errors for reasons I outlined before. Quote:
The best way would be not to exclude any data due to distractions because you run into huge difficulties deciding what is a distraction and what is not. The best way would be to analyse the data in such away that noise causd by distractions are kept to a minimum. Quote:
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| Isn't there a simpler way? Just calculate the waiting time during the return period as a proportion of total waiting time across the whole experimental period, and the same for the non-return time, then compare the two with some statistical analysis. If the effect is as strong as it seems in the videos then you could probably use non-parametric methods with less assumptions about the distrubution of the data. |
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| Good to see Topher and David Smith back on this forum .... where have you guys been hiding? (Well David has been back a while)Sean, good to you join forum too, the more diverse opinions the better. ![]() |
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