• ufos and missing persons (2/n) (1/2)

    From MrPostingRobot@kymhorsell.com@1:229/2 to All on Thursday, February 11, 2021 02:35:47
    XPost: alt.ufo.reports

    EXECUTIVE SUMMARY
    - We've seen previously there is a strong link between reported UFO
    activity and certain categories of missing persons.
    - Breaking down UFO activity by state allows us to "guesstimate" the
    number of associated missing people in each state. We can then get
    a "strength" value for each state -- the number of additional
    missing people associated with each UFO sighting in each state.
    Some states seem to be associated with "net returns" of missing people.
    - Given the state-to-state link strength we can ask whether the
    presence of military bases is associated with an increase or
    decrease in the UFO -> missing persons link.
    - It turns out military bases relate to fewer missing persons. This
    simultaneously lets "the govt" off the hook for being
    responsible for abducting UFO eye witnesses and focuses on what some
    UFO's have apparently been doing even recently (the dataset is for
    2016-2020).
    - Apparently AFB's deter abductions more than Army bases. This also
    makes sense for some activity carried out by aerial rather than
    surface vehicles.


    We've previously noticed a significant connection between UFO
    sightings and certain classes of FBI missing persons -- juveniles and
    disabled.

    It remained to be shown what the causal link was. If increased UFO
    activity seemed to predict an increase in missing juveniles was it the
    UFO activity that was responsible or was there some other party involved?

    A popular folk tale had it that it was SOP for some shadowy bureau of
    men wearing dark suits to snatch people that may have seen something
    unusual in the sky and extract all possible information using various
    means, mostly illegal. Another variant of the story had it that it was
    SOP for some shadowy bureau of men wearing dark suits to snatch people
    that may have seen something unusual in the sky and use drugs or other techniques to make the witnesses forget what they saw or become so
    confused their garbled claims could not be taken seriously.

    Can we address any of that with data we actually have to hand?

    Unfortunately for making this clear-cut the FBI data on missing
    persons doesn't break the data down in every possible way. :)

    But a little guesswork and hypothesis testing on the part of s/w that
    knows a little about reasoning about causation seems to suggest "it is
    not the govt" and that is is likely the UFO activity is directly
    responsible for some number of missing persons up to the present day.

    The reasoning part goes this way. If (as we know) UFO sightings
    predicts missing persons then it may be possible to split the cases up
    by state by looking at what proportion of missing persons is explained
    by just UFO sightings in each state.

    If we can split the link up by state then we can use other information
    related to each state to examine how the link is modified by this
    other information.

    So it's trivial to divide the UFO sightings up into state of incident.
    We can then get a "strength" of the link between UFO activity in a
    state and missing persons in a state by predicting missing persons
    from the state UFO sightings.

    We then end up with a table of states and their "link strengths".
    This is the table for "missing juveniles":

    State link strength
    (change in missing juveniles per in-state UFO sighting)
    AK -80.9435
    AL 55.8288
    AR 20.5556
    AZ 20.7436
    CA 2.99906
    CO 6.20955
    CT -30.2506
    DE 110.389
    FL 19.1615
    GA 46.3989
    HI 8.44815
    IA -33.6089
    ID 28.1743
    IL 49.4824
    IN 51.3198
    KS 42.6095
    KY 26.0642
    LA 97.6265
    MA 11.2831
    MD -54.7427
    ME 37.9996
    MI 2.52068
    MN 41.0604
    MO 21.121
    MS 51.3451
    MT -13.7214
    NC 3.49402
    ND -27.3826
    NE 53.2958
    NH 38.104
    NJ -0.568074
    NM 7.09328
    NV -14.4256
    NY -0.976347
    OH 12.4441
    OK 2.61706
    OR -22.6119
    PA 4.30939
    RI -38.9617
    SC 42.575
    SD -59.0127
    TN 14.2172
    TX 14.726
    UT 23.9683
    VA -20.793
    VT -338.572
    WA 11.6061
    WI 28.1213
    WV -196.638
    WY 105.021

    The "link strengths" are simply the \betas from the appropriate
    time-series regression. The \beta shows if sightings in the given
    state increase by 1 per month then the effect on missing juveniles is
    on average \beta. The \beta we note can be -ve, meaning activity in
    *some* states seems to be associated with a net "return" of missing juveniles.

    We can now ask some interesting questions like "does the presence of
    more Army bases associate with an increased or decreased \beta". Does
    the presence of military bases associate with more missing people in
    which case maybe the military is the group doing the abducting for
    reasons like the ones above, or does the presence of military bases
    decrease the \beta IOW act as a deterrent on what would seem to be
    actual abduction of people by UFOs.

    The stats for Army and AF bases were run independently. It acts as a
    test of consistency. But basically we want to know if the AF beats the
    Army or not.


    Army Bases and missing people (disabled): -----------------------------------------

    (AUTO CORR; estimated rho = 0.310561)
    y = -0.20876*x + 3.31368
    beta in -0.20876 +- 0.220717 95% CI
    alpha in 3.31368 +- 1.0091
    P(beta<0.000000) = 0.968390
    calculated Spearman corr = -0.255318
    Critical Spearman = 0.306000 2-sided at 5%; accept H0:no_effect
    r2 = 0.07006530

    Data:
    State Number of Army \beta(dis) estimated \beta(dis) from model
    bases
    AL 3 -1.3447 2.6874*(model 1sd too high)
    AZ 5 1.51734 2.26988
    CA 19 0.677852 -0.65276
    CO 6 2.46491 2.06112
    CT 1 2.22528 3.10492
    DE 1 3.51092 3.10492
    FL 6 1.13167 2.06112
    GA 5 2.40745 2.26988
    HI 8 4.08739 1.6436
    IA 3 3.38776 2.6874
    IL 3 4.6466 2.6874
    IN 3 4.07927 2.6874
    KS 6 0.595645 2.06112
    KY 3 3.25928 2.6874
    LA 4 2.63112 2.47864
    MA 4 1.57048 2.47864
    MD 4 -1.4117 2.47864*(+1)
    ME 4 -0.718164 2.47864*(+1)
    MI 3 2.41316 2.6874
    MN 2 6.56708 2.89616*(-1)
    MO 2 2.97658 2.89616
    MT 1 6.10703 3.10492*(-1)
    NC 5 0.794651 2.26988
    ND 1 2.86783 3.10492
    NE 1 0.317921 3.10492
    NH 1 4.69578 3.10492
    NJ 2 2.67822 2.89616
    NM 3 -0.0590408 2.6874
    NV 1 1.19447 3.10492
    NY 5 1.38299 2.26988
    OH 4 0.451624 2.47864
    OK 4 2.88433 2.47864
    OR 2 1.25544 2.89616
    PA 6 -1.39977 2.06112*
    SC 2 1.9117 2.89616
    SD 1 2.98106 3.10492
    TN 3 0.817876 2.6874
    TX 13 -0.170887 0.599799
    UT 4 5.53006 2.47864*
    VA 13 -0.35279 0.599799
    WA 3 3.71721 2.6874
    WI 2 1.86955 2.89616
    WV 1 -0.410038 3.10492*
    UT 4 5.53006 2.47864*
    VA 13 -0.35279 0.599799
    VT 1 -4.25227 3.10492**(+2sd)
    WA 3 3.71721 2.6874
    WI 2 1.86955 2.89616
    WV 1 -0.410038 3.10492*
    WY 2 12.5082 2.89616**(-2sd)


    Air Force Bases and missing persons (disabled): -----------------------------------------------

    (AUTO CORR; estimated rho = 0.454134)
    y = -0.484281*x + 3.94788
    beta in -0.484281 +- 0.467705 95% CI
    alpha in 3.94788 +- 1.05091
    P(beta<0.000000) = 0.978593
    calculated Spearman corr = -0.070887
    Critical Spearman = 0.306000 2-sided at 5%; accept H0:no_effect
    r2 = 0.11209464

    State #AFBs \beta(dis) estimated \beta(dis_
    AL 1 -1.3447 3.4636*(estimate +1sd too high) AZ 1 1.51734 3.4636
    CA 1 0.677852 3.4636*(+1)
    CO 1 2.46491 3.4636
    DE 1 3.51092 3.4636
    FL 1 1.13167 3.4636
    GA 4 2.40745 2.01076
    HI 1 4.08739 3.4636
    IL 1 4.6466 3.4636
    IN 3 4.07927 2.49504
    KS 1 0.595645 3.4636*(+1)
    LA 2 2.63112 2.97932
    MA 2 1.57048 2.97932
    MD 1 -1.4117 3.4636*(-1)
    MI 1 2.41316 3.4636
    MO 2 2.97658 2.97932
    MT 1 6.10703 3.4636
    NC 3 0.794651 2.49504
    ND 3 2.86783 2.49504
    NE 2 0.317921 2.97932
    NJ 1 2.67822 3.4636
    NM 6 -0.0590408 1.0422
    NV 1 1.19447 3.4636
    OH 2 0.451624 2.97932
    OK 5 2.88433 1.52648
    SC 1 1.9117 3.4636
    SD 2 2.98106 2.97932
    TN 2 0.817876 2.97932
    TX 7 -0.170887 0.557919
    UT 1 5.53006 3.4636
    VA 1 -0.35279 3.4636*
    WA 1 3.71721 3.4636
    TX 7 -0.170887 0.557919
    UT 1 5.53006 3.4636
    VA 1 -0.35279 3.4636*
    WA 1 3.71721 3.4636
    WY 1 12.5082 3.4636**(-2sd)


    It turns out there is no effect of either Army or AFB on the link for
    missing juveniles.


    So the upshot seems to be there is a "weak" effect. The presence of
    more military bases in a state seems to be associated with a reduced
    number of missing disabled people seemingly linked with in-state UFO activity.

    The effect is characterised as "weak" because while it passes 1 of the
    stat tests (T-test on the \beta) is fails another stat test (rank corr
    test). While the T-test is 95% or more sure the patterns can not be
    just luck it would have been nice if the states with more bases
    generally saw the strongest links.

    But the R2 in both models above are not large meaning there is a lot
    of noise in the data. And this is partly because we could not find the
    "real" link between UFO activity and missing people in each state, but
    only try to deduce the missing people in a given state from the UFO
    activity in that state (given there *is* a strong 2-test link between country-wide UFO activity and country-wide missing persons).

    So we will just have to settle!


    Apparently each AFB is associated with a reduction in the \beta of
    around .5 points, while each Army base is associated with a reduction
    of around .2 points. These numbers simultaneously tend to argue "the
    govt" in the form of the Army or AF is not in the business of
    disappearing young and/or disabled people that may have reported a
    UFO, that a link between UFO activity and missing persons is as
    blatant as it appears -- UFO's are abducting people -- and that the
    presence of AFB's in particular around the state tends to deter that.

    --
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