Thursday, July 29, 2021

Comments by Bit Logic

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  • Here is a numbers model of the symptoms of ‘racing thoughts’ and ‘false beliefs’ observed in many psychosis cases. The model uses true/false information only, without specifying content.
    Generally our brains process one unit of input into one unit of contained information. If the thought process switches to a multiple messaging mode then one input can produce multiple units of contained information. What should be considered is that these multiple units will contain high rates of false information (because true information tends to be singular). Not only is the overall amount of processing increasing but the percentage of false information is increasing. A tipping point (onset of psychosis) would be expected if the amount of false information exceeds a normal fact checking ability. For example it may be normal to fact check 20 to 40 items per day but if a person was unaware of this mechanism he/she would not be unable to fact check 200 to 400 items per day.
    Using ballpark numbers for normal and psychosis:
    Normal
    *Normal significant information units processed per day 20000
    *Coefficient of true information with normal thought pattern 9980 per 10000 or .9980
    *Coefficient of false information with normal thought pattern 20 per 10000 or .0020
    *Normal daily true information = .9980 * 20000 = 19960 units of true information
    *Normal daily false information = .0020 * 20000 = 40 units of false information, may be corrected
    Psychosis
    *Psychosis significant information units processed per day 80000
    *Coefficient of true information with multiple messaging 9940 per 10000 or .9940
    *Coefficient of false information with multiple messaging 60 per 10000 or .0060
    *Psychosis daily true information = .9940 * 80000 = 79520 units of true information
    *Psychosis daily false information = .0060 * 80000 = 480 units of false information, not corrected
    High processing rates combined with relatively tiny coefficients of false information will increase the overall presence of false information to levels that may cause problems.
    Notes: This model uses 20000 information units per day as a benchmark for normal thought patterns. The coefficient values are based on observed symptoms and will vary from case to case. This model in no way shows biological failure but shows processes of information mechanics