An enormous radioactive cloud has been circling the Northern Hemisphere. It is most obvious in the past three weeks, but may have been released from one or more sources earlier on. The fact that there’s apparently Iodine-131 in the latest whiff (See (July 18, 2017) Couple EURDEPs (w/ Cyprus I-131/Cs-137 data gap & spike) indicates a recent release from an active or very-recently-active nuclear core. Other ‘fallout patterns’ in the preceding months could be from the same or entirely different sources. Unknown to me whether or not the mystery whiff (containing Ru-103, Co-60, Nb-95, Cs-137&134,…) detected in mid-May (2017) in Southern Finland came from the same mystery source that caused this latest batch of radiation data weirdness. In short: I have no freak’n clue where what is coming from. And I can’t figure it out. Too much noise amidst the muffled signals.
The monitoring system is way too well-rigged to figure out the source of this radioactive cloud. Was there a nuclear incident somewhere with a significant release of radionuclides? A covered-up full-blown nuclear reactor accident? A further deterioration of the ongoing perils at Fukushima-Daiichi in Japan? (Is it really still having fission flare-ups, as I’ve speculated about before, and RT once even reported??? – See (Nov. 20, 2015) Debunking the ‘Impossibility’ of Ongoing Criticalities at Fukushima-Daiichi; (June 4, 2016) Anatomy of a Serbian Data Gap + RT: Fukushima Still Fissioning! and (May 29, 2015) Land of the Sinking Sun…, among others.) Was a nuclear bomb test conducted somewhere, and -“Where are they when we need them?”- somehow the CTBTO/IAEA folks are in on it and sticking to strict secrecy? Maybe a dirty bomb was set off somewhere and the same nuclear-news-controllers chose to keep under wraps? ALL possibilities are disconcerting.
It’s a little hard to just say, “Ah, maybe it’s nothing…”, ’cause gamma monitors aren’t particularly sensitive to artificial fallout in the first place. (Because Radon progeny emits strong gamma in its first 24 hours, gamma upticks from natural sources can make upticks from artificial radionuclides hard to discern.) And while that (and everything else for that matter) could be dismissed as just my amateur opinion (see my DISCLAIMER), I’d say there are clues, though: If what the monitors would measure were entirely due to radionuclides of natural origins, no one would have any incentive to manipulate the data… The nuclear industry has enormous incentive to hide the truth of its polluting nature and the consequences thereof. Hence all the various radiation data “phenomena”, such as times values mysteriously drop to zero, or are strangely lower-than-average, baseline shifts that suggest data processing changes, “ninja dots”, “glitch dots”,… and probably the best/worst of ’em all, the data gap, are worthy of scrutiny. Patterns often appear when you string multiple months together and look closely. In this case, like in various other cases over the past few years, it’s too widespread to blame it on mere local rainouts.
Couple more examples, starting with 2 x 3-months, and then a series of 6-month graphs.
- Leeming, UK, 3 months: a ninja dot pair at the end of June, followed by an apparent baseline adjustment, with more ninjas and a nice example of lower-values- than-normal ‘fallout pattern’ this past week:
-> For another telling example of such a ‘fallout pattern’, see for example early May 2016 @ Hertmoncieux, England, preceding another data gap, in the wake of the (also unresolved mysterious) Spring / April Event 2016‘.
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The next two 6-month graphs are what the headline refers to: Through a series of baseline adjustments, ‘steps’ appear. It has a couple consequences, the main one is that new data cannot be accurately compared to older data. I suspect it hides what would otherwise show as highly unusual spikes. Also note the data gaps, and see how similar shifts happened at monitors hundreds, sometimes thousands, of miles apart (also the the US Radnet data, such as Western US, EPA Radnet (Checked July 18, 2017) and earlier blogposts):
Riga – Daugava, Latvia, 6 months:
- Lublin, Poland, 6 months:
- Lahnstein, Germany, 6 months
Note that on extreme zoom-in, some monitors show data in stratified data layers too. Yet, interstingly, in this case that doesn’t hold for values under 100 nSV/hr here (more random pattern):
- Muelheim-Kaerlich, Germany, 6 months:
Consthum, Luxembourg, 6 months:
- Kirikkale, Turkey, 6 months:
Know what’s up? Drop me a comment. (Just curious)
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