RadNet Data Censorship Saint Louis, Mo 3/30/11 - 6/29/11

Updated 7/1/11: A detailed video analysis of the text and chart below may be found at the embedded link

Click on the Chart to see a higher resolution image.


Four specific types of censoring were found in the EPA data:

(1) Censored Data (deletions): Specifically Gross Beta, and Gama Energy Ranges 2 through 5, and 7.

(2) Censored Data (Burn-offs): Short Half life radiation was allow to burn-off from the sample by performing the sampling in time frames longer than the standard 1 hour sample collection time.

(3) Censored Data (short sampled): Sampling periods were cut short of their standard 1 hour sample gathering time; the result is a radiation count that is proportionally lower.

(4) Censored Data (early filter removal): Filters build up radioactive contamination. By installing a new air filter before the previous filter's useful life span has been reached, the subsequently recorded radioactivity will appear lower.

Based on my understanding of the RadNet's operational guidelines:
Samples are automatically captured every hour and sent up to the EPA to "review" the data before it is posted online. The air sampling cartridges are to be removed every 12,000 cubic meters and sent to the EPA for further analysis; this time may be cut short if unusual radiation detections are found.

As I searched through the EPA RadNet data for Saint Louis, I found two instances where a new air sampling cartridge was inserted and removed with in one or two readings and replaced with another new cartridge. The first such occurrence was on April 10th and was concurrent with all four types of observed censorship. The second occurrence was on May 25th and was concurrent with a large radiation increase.

The EPA website does state that "Electrical interference can cause spikes, shown on graphs as one point significantly higher than the rest of the data". However an examination of the data found NO such instantaneous spikes, only radiation increases predicted via previous upwards trends.

It is also interesting to note that the heaviest data censorship occurred in the early parts of the Fukushima disaster, where radiation levels would have been expected to be at their initial highest. Despite that heavy early point data censorship, the overall trending data from March through May shows a significant increase in radioactivity. I believe the increase is significant from a cancer causing perspective, but not necessarily from the perspective of inducing Radiation Sickness.

Hopefully the EPA will provide an alternate explanation of the above analysis and will support such an explanation by:

(1) Releasing all the RAW un-manipulated data
(2) Releasing all manuals and instructions covering the collection of such data.

Click HERE for the detail video analysis