Jump to content
IndiaDivine.org

check this out(wizard air disasters)

Rate this topic


Guest guest

Recommended Posts

Air Disaster Predictions

 

Year 2000 Prediction Windows

 

Jan 20-21, 24-25 Apr 6-7, 19-20 Jul 13, 22-31 Oct 1-8,

19,

22-23

Feb 18-20 May 1, 10-26 Aug 1, 3-18,

22-23, 30-31 Nov 12-13, 21-22

Mar 13-14, 19-21 Jun 18-21 Sep 10-30 Dec 8, 18-22,

26-27

 

Highest Peaks: Sep 22-25, Oct 22-23, Nov 21-22, Dec

21-22

.... More Later

Visit SmarterLiving.com for discounts

on airfare, hotels, car rentals, and more!

Other Predictions

 

Earthquakes Terror Attacks Air Disasters Outer Space

 

US Elections Refinery Fires Roller Coasters Railways

 

Services

 

Horoscopes Love Charts Consulting Model Building

Newsletters

 

Help

 

Home About Us FAQs Email The Wizard

 

 

 

Year 2000 Results

 

Air Disasters by Cause

All Windows

3/21/00-9/9/00

Type of Event Hits Total Events SRC to Date

Coincidence

Total Air Disasters 11 23 34% 1 in 18

Out of Fuel 0 0 34% --

Aircraft Failure 2 7 34% 1 in 2

Terror/Military 0 0 34% --

Landing/Takeoff 6 9 34% 1 in 105

Ran into Mountain 2 4 34% 1 in 8

Mid-Trip Crash

1 1 34% 1 in 1000

Midair Collision 0 2 34% --

Weather 0 1 34% 1 in 2

 

Higest Peaks Fit:

All Crashes (1 in 118),

Aircraft Failure (1 in 10),

Landing/Takeoff (1 in 258),

Ran Into Mountain (1 in 28),

Mid-Trip (1 in 12)

 

The year 2000 Results are based on the vernal year

3/21/00-3/20/01. The Steady Rate Chance of the

prediction windows for the 2000 vernal year is 31%

(113days).

Back To Predictions

 

Year 1999 Results

 

Air Disaster Hit Summary 3/21/99-3/20/00

Type of Event Hits Total Events SRC to Date

Coincidence

Aircraft Disasters 11 47 27% 1 in 2

Highest Peaks 6 47 9% 1 in 8

 

 

The year 1999 Results are based on the vernal year

3/21/99-3/20/00. The Steady Rate Chance of the

prediction windows for the 1999 vernal year is 27%

(100days).

Air Disasters Occurring on Peaks By Cause

3/21/99-3/20/00

Type of Event Hits Total Events SRC to Date

Coincidence

Total Disasters on Peaks 6 47 9% 1 in 8

Out of Fuel 0 0 9% none observed

 

Aircraft Failure 1 6 9% 1 in 10

 

Terror/Military 0 3 9% 1 in 4

Landing/Takeoff 3 24 9% 1 in 6

Ran into Mountain 1 8 9% 1 in 6

Mid-Trip Crash

1 6 9% 1 in 10

Midair Collision 0 0 9% none observed

 

 

Back To Predictions

 

 

Wizard's Model Notes

 

Air Disasters

The predictions on this page are derived from an

'event

based' system of planetary probability.

 

The predictions were developed using the dates from a

sample of 17 Fatal Aviation Disasters which occurred

from 1985-1997. The location of the events was not

specified.

Back To Predictions

 

 

URL: http://www.zodiacwiz.com

Layout, design & revisions © 1999-2000 The Wizard,

Astrologer & Mystic. All rights reserved

 

 

 

Thousands of Stores. Millions of Products. All in one Place.

/

Link to comment
Share on other sites

Hi Rhoda--

 

>The predictions were developed using the dates from a

>sample of 17 Fatal Aviation Disasters which occurred

>from 1985-1997. The location of the events was not

>specified.

 

 

At the risk of sounding like Chris sounding like a wet blanket ;-), a sample

of 17 crashes over a twelve year (!!!) period is hardly conclusive.

Firstly, we don't know if the sample were randomly-selected; I'm POSITIVE I

could select from a large list of plane crashes and retrofit a selection of

them into a "sample" which had a STRONG correlation to ANYTHING. The

sample has to be randomly-chosen in order for it to be meaningful.

 

Secondly, even if the sample WERE randomly chosen, that is not a large

enough sample for such a long period of time to be conclusive. For example,

Merc goes retro about four times a year, so there were about 48 retros

during the cited study period, yet only 17 cited crashes. So, even if the

sample were chosen randomly, it still LOOKS suspicious--there should be many

more crashes in the study for it be credible.

 

And lastly, we don't need to use small "samples" at all. Since we have

access to all the data, why not analyze all of it? Or at least much more of

it? It would take a little more work--ok, a LOT more work--but it would

eliminate the suspicion that we had somehow rigged the study; our results

would be easily reproducible. Small sampling is really only indicated

whenever the data are expensive to gather, there is too much data to analyze

with the available tools, or analyzing the sample causes its destruction.

None of those cases apply here.

 

Furthermore, the date ranges cited for 2000 accident propensities span about

30% of the entire year. It's virtually inconceivable that there wouldn't be

SOME sort of air accident during those time period, especially since

accidents (in general, not just air accidents) are the number one single

cause of death for Americans across age ranges. (I would guess that

parameter would be applicable across all the world's peoples.)

 

(Just speaking as a devil's advocate.)

 

jpd

Link to comment
Share on other sites

Join the conversation

You are posting as a guest. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

Loading...
×
×
  • Create New...