As Radioactive Clouds Drift Over Europe, Kazakhstan’s Saiga Antelope Suddenly Die by the Tens of Thousands Again… Connected?

Salida, Colorado (USA) – Sept. 4, 2015

BREAKING:  (Yahoo News, Sept. 3, 2015):  “60,000 Antelopes Died in 4 Days — And No One Knows Why“, by .

“[…]  Bacteria clearly played a role in the saigas’ demise. But exactly how these normally harmless microbes could take such a toll is still a mystery, Zuther said.

“The extent of this die-off, and the speed it had, by spreading throughout the whole calving herd and killing all the animals, this has not been observed for any other species,” Zuther said. “It’s really unheard of.” […]”

In other words, 3 entire months have gone by, and they are still exactly where the stood on the matter when half the global Saiga herd perished in May 2015: “clueless”.

Interesting timing, no?  Again corresponding with widespread data gaps on radiation monitors all over Europe and the USA…  (More examples of recent radiation data, below in this post.  See also my Nuclear Blog Post Archive)

!!!-> For context details see my extensive June 18 2015 post,

The “Mysterious” mid-May 2015 Kazakhstan Saiga Antelope Die-Off – aka “Do Not Mention Radioactive Fallout…


Quoted from the Yahoo article (my emphasis added):   “[…]   The females, which cluster together to calve their young, were hit the hardest. They died first, followed by their calves, which were still too young to eat any vegetation. That sequence suggested that whatever was killing off the animals was being transmitted through the mothers’ milk, Zuther said.

Tissue samples revealed that toxins, produced by Pasteurella and possibly Clostridia bacteria, caused extensive bleeding in most of the animals’ organs. But Pasteurella is found normally in the bodies of ruminants like the saigas, and it usually doesn’t cause harm unless the animals have weakened immune systems.

Genetic analysis so far has only deepened the mystery, as the bacteria found were the garden-variety, disease-causing type.

There is nothing so special about it.  The question is why it developed so rapidly and spread to all the animals,” Zuther said. […]”  — from the same article @, with my emphasis added.  And also:

A similar mass die-off of 400,000 saigas occurred in 1988, and veterinarians reported similar symptoms. But because that die-off occurred during Soviet times, researchers simply listed Pasteurellosis, the disease caused by Pasteurella, as the cause and performed no other investigation, Zuther added.

Within a few years after Chernobyl, and then ‘mysteriously’ again… after four years of non-stop leaking from Fukushima.   Hm…  Coincidence?  Perhaps.  I don’t know.   But I still dó find it unfortunate that this avenue of scientific forensic investigation is not persued aggressively, though.  My email, mentioned in the previous blog post on this matter has remained unanswered, and ALL mainstream reporting thus far has remained completely devoid of mentioning even the possibility of a link with nuclear fallout.   This being Kazakhstan, the Soviet era equivalent of the Nevada Test Site in the US, that’s double-odd…

Sept 4, 2015, 5:30 pm – ADDED after posting INSERT:

And what if… symptoms right before before those mammals actually died included some of those known to also be part of ‘acute radiation poisoning’, such as a bloody nose?  Coincidence?

  • Smithsonian Magazine, August 13, 2015, “What Killed Over 134,000 Endangered Antelopes? – Experts are closer to an answer“: “[…] The saiga succumbed to something that left their corpses with swollen bellies and blood in their noses and mouths, reports Dinara Urazova for Tengrinnews. […]”  and back then, a few weeks ago, they could still broadcast the anticipation, “[…] The experts also preformed necropsies — animal autopsies — to see if they could find the cause of death. While the nature of the infection has been agreed upon, the experts still haven’t concluded which bacteria is responsible. […]”, now that they know that bacteria is not a deadly one…  “the mystery” remains:

What could possibly have weakened their immune system?


Could there be some “clues” to be found in reports such as…

Get my drift?

Somehow…  it seems possible fallout REALLY is a factor…

Now…  Isn’t it darn peculiar this topic is entirely avoided by the “experts” and all mainstream media?

— — — — — — —  — — — — — — —  — — — — — — —

Some more radiation data graphs from Radnet (USA) and EURDEP (Europe)

Be aware that the data has usually not been ‘validated’ and both the EPA’s and EURDEP’s disclaimers make it overly clear that even if the data looks alarming, it’s not.  EVER.  I have a DISCLAIMER too:  I insist you think for yourself.  So please don’t take my word it that there may be a causal link between these two (still possibly unrelated) phenomena.

  • I started off with a couple WEEK data (pre-Sept 4, 2015):

Torun_Poland_EURDEP_Sept3_2015_1week_GammaMax KarlovyVary_CZ_EURDEP_Sept4_2015_1week_GammaMax Stropkov_Slovakia_EURDEP_Sept4_2015_1week_GammaMax Steinfort_Luxembourg_EURDEP_Sept4_2015_1week_GammaMaxMuch more data from Europe further below, after this USA Radnet detour (week-data):

EPA_Radnet_Anchorage_week_Sept3_2015 EPA_Radnet_SFO_week_Sept3_2015 EPA_Radnet_Juneau_week_Sept3_2015  EPA_Radnet_Fairbanks_week_Sept3_2015EPA_Radnet_ColoradoSpringsCO_week_Sept3_2015DenverGrandJunction GrandJunction_gamma5 DC DC_beta HonoluluMadisonWI DesMoines_IA Seattle_G3.5BismarkNDBuffaloNYIt’s only a relatively small sampling, but all-in-all it appears not all thát unusual, except, of course… for the major data gap in Colorado Springs, coinciding with some brief spikes elsewhere, which could hint of something from higher up just briefly making ground-level contact with some monitors.  Hard to say.   Not enough info from Radnet’s surreal-pathetic barely-a-network to draw conclusions from, in my opinion.  But perhaps the provided info can be part of someone else’s investigation?  (Please drop me a link if you take this much further than I have. Tx.)

Back to Europe:

  • I switched to MONTH data (pre-Sept 4, 2015):

Mikolajki_Poland_EURDEP_Sept4_2015_1month_Gamma Botosani_Romania_EURDEP_Sept4_2015_1month_Gamma GehlBerg_GermanyThe following Monthlong data was retrieved on Sept 4, 2015:

Wlodawa_Polski Gaevle_Sverige Ritsem_Sverige SPitzebergen

Last Icelandic monitor still reporting.  All other 3 are off-line:LastMOnitorStanding_IcelandGreenland data is unusually unsettled for such a pristine region, with 2 massive spikes at the onset of ‘disturbances’ that are most likely part of precipitation deposition.  I suspect this is falling as snow, as the overall dose rate drops amidst the spikes.  The reason I don’t think the super-spikes are all calibrations is because of the disturbances following right after.  For two monitors I plotted it twice: once to see the low-dose changes and once to see how high the spike went:  The first major spike COULD be a calibration, but the second one clearly isn’t:

Greenland2 Greenland3 Greenland1

Back to Europe:  Note the region, plotted time periods (x-axis)  and gamma radiation dose rate level (in nanoSievert/hour) and how not all y-axis values are graphed the same.  Notice how the data gaps often correspond with super-high glitch dots or disturbances elsewhere.

OsloNorsk Fin2 Fin1 Lithuania1 Latvia2 Latvia1 Estonia1 UK1 AmsterdamOost_NL AssenNL Ronse_Belgie Amay_Belgique

The other day I mentioned the data delay from Germany (screenshot of the EURDEP map in (Sept. 1, 2015) “Data Gaps accross EURDEP, amidst Odd Spikes in Luxembourg and Greenland“, which thís post is basically an elaboration on.  Most of the data has been filled in, now revealing the exact time of what remains concealed:

ChartImg-18.axd ChartImg-19.axd ChartImg-20.axd ChartImg-21.axd ChartImg-22.axd ChartImg-23.axd ChartImg-24.axd ChartImg-25.axd ChartImg-26.axd

Sure breathing 700 µSv/hr particles from contaminated air will have no health effects over the coming decades???  Anyone?  “Radon Progeny”, you think?   Really?ChartImg-27.axd ChartImg-28.axd ChartImg-29.axd ChartImg-30.axd ChartImg-31.axd ChartImg-32.axd ChartImg-33.axd ChartImg-34.axd ChartImg-35.axd ChartImg-36.axd ChartImg-37.axdFor more, see options on my page, Online Radiation Monitors.  For help with the units, see Radiation Units & Conversions.  Latest News, check Nuclear News Links.

  • I also quickly checked back in time for a few monitors, here showing two examples of data for 6 MONTHS.

Veles, Macedonia:


Data Flow was turned off to the public on August 22, 2015. How high would the spikes go if they showed what happens during data gaps?

See any trends?  :-/

Herenhoek’s, The Netherlands: (added red line @ 0.160 µSv/hr):

Zeeland_NL_6months_preSept4_2015EURDEPI hope that my efforts to make it easier to glance all these data examples in a blog post (rather than you spending the many hours I spent to retrieve these data sets on notoriously crash-prove government systems) is somehow helpful.

I don’t really have a conclusion anymore:

I vacillate between pure scientific curiosity, vast unspeakable sadness, and an undercurrent of bewilderment, wondering if perhaps, for purely selfish denial-based comfort reasons, I better ignore this situation…


— — — — — — —  — — — — — — —  — — — — — — —



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19 Responses to As Radioactive Clouds Drift Over Europe, Kazakhstan’s Saiga Antelope Suddenly Die by the Tens of Thousands Again… Connected?

  1. “…I hope that my efforts to make it easier to glance all these data examples in a blog post (rather than you spending the many hours I spent to retrieve these data sets on notoriously crash-prove government systems) is somehow helpful…”

    Helpful for being baffled by what it all means, but thanks once again for doing all the hard work and posting it, Michael. It’s enormously useful to see multiple sites together on one page.

    And is it just me or is Gamma 2 and 3 now unusually high and variable for ratnet? I just don’t recall it being that extreme before. It was always a little higher (proportionally) to the other ranges, but nothing like it looks lately. The hand-built graphs always look so different from the ‘rainbow ranges’ graph. Anything the EPA can do to further obfuscate the data we’re ‘allowed’ to look at, I guess…

    • MVB says:

      G2 & 3, eh? I’ll see if I can find some screenshots from years ago and see if there’s something to be seen.

      Glad you appreciate the efforts. ;-)

      • John says:

        Do you have any theory or hypothesis on what is causing these spikes?

        Where do you think it’s coming from?


        • MVB says:

          I think it is still Fukushima-Daiichi fallout that went high up into the upper troposphere, perhaps even stratosphere and is making its way down, somwhat similar with how ash from super-high volcanic eruptions can take years to all come down.

          Spikes and the data gaps that likely hide worse spikes often correspond with slow downs in the jet stream (which you can explore on nullschool for the height, 250 hPa), at least that’s what I found when I researched it last winter; haven’t spent the time to look into all the details this time.


  2. hadia says:

    Michael, you are a “hero” and all these hiding coward employed rad-specialists at public institutes, etc. should say thank you, merci, danke, shoukran, bedanket well, zor supaz, tusendtak etc to your endless objective research, because obviously they rely rather on their paychecks than on their individual scientific research. How blinded they must be to ignore such a fatal status of our globe since Fukushima?!
    We are pretending leading normal lifes. Our health stati aren´t normal any more. Our immune systems drive down, more or less.

    Can only reply with a stereotype TRUE song:
    May you be blessed with strength and health and clear spirit and mind in your life

  3. diemos says:

    You know, the EURDEP data goes back to 2011. If you wanted to you could look and see what a real cloud of fallout drifting across europe looks like on these stations.

    • MVB says:

      Much of the EURDEP data goes back much further than that, and I’ve done that a-plenty. It looks like the typical data gaps right as the fallout cloud would hit ground-level, and if you look at the longer-term record, you can see that much of fallout went high up and comes down slowly over the years, much of it just in the past year reaching ground level. Relatively speaking of what is likely in store, this disaster known as “the nuclear industry” has barely even started.. Data examples on which longer-term trends and patterns can be spotted more easily, see my 4 part series, of which this was #1: “Four years of Radiation Data: EURDEP @ ‘Vlissingen Haven’, The Netherlands – (Long Term Pattern Spotting – Part 1 of 4 )”

      !-> @

      Throughout the EURDEP records, likely evidence of a major nuclear accident in 2010 can also be found. Maybe the one in China was much worse than admitted, or something else entirely covered-up occured.

  4. i am not good at understanding these charts, but, i am curious, could the gaps be places where the readings are so high that they don’t register at all on the graph?

    • MVB says:

      The data gaps are just that: for those times, no data is made public. If you go to the EURDEP site and get the graph for a location, you can also get the data in a table format and it is not that the data shows values to high to show, it shows nothing for those times. It is, however, my belief that data gaps often correspond with what would be unusual spikes if the data was actually shared. I belief this because I’ve seen many examples of spikes in one area at the same time data gaps are seen elsewhere. Data gaps were also common in the weeks right after Fukushima-Daiichi’s reactors/SFPs blew up. It is through systematic omissions that they corrupt the radiation data records. The systems are rigged.

  5. MVB says:

    week later, ENEnews chipped in (Sept 8, 2015): “Rapid, stunning and complete” die-off of animals near nuclear site — 150,000+ antelopes bleeding from internal organs, pits brimming with corpses — Experts completely baffled: “It’s really unheard of… 100% mortality, I know of no example in history like it… Doesn’t make any sense” (PHOTOS)


  6. Ayse Deniz says:

    with gratitude, Mike, for your awakeness and feeling the responsibility to awaken others leaving in the benighted times.
    Educating myself of the material and analysis you provide and trying to share them wherever I find an opening in a drowsy Turkey rushing headlong to 2 inaugural nuclear facilities on an untainted pristine land, I have a very basic question to begin: is the nSV (sievert, as I understand) unit per hour indicated on these graphs for Europe the equivalent of the 50 units that give the not-to-be exceeded annual dose for extraordinary profession-dependent reasons, say for pilots? in other words, the 80 nSv, 120 nSv etc that pass for average in European sites, assuming they are constant year-round (which they assume to be) are already over, indeed double or more the amount that would only be acceptable under exceptional circumstances, such as that of a pilot? If so, would it be a good idea to indicate the 50 bar with a red-line on every graph?

    a friend of mine to whom i mentioned the website will be referring to it on an academic presentation in November, and try to direct to it as many “learned” people as possible. any procedures of citation that we have to know?

    we would also like to know how we can fund your efforts and ask others to join in as well.

    in solidarity,
    Ayse Deniz

    • MVB says:

      Hi Ayse,

      The nSV unit per hour indicated on these EURDEP graphs is nanoSievert per hour. Important not to get confused by the unit and over which time period it’s measured.

      1 Sievert = 1,000 mSv (milliSievert) = 1,000,000 µSv (microSievert) = 1,000,000,000 nSv (nanoSievert)
      Since microSievert and nanoSievert are most used for small doses: 1 µSv/hr = 1,000 nSv/hr
      So, a dose level of 100 nSv/hr (common near sea level on most soils) is the same as 0.1 µSv/hr.
      For more on conversions and units, see:

      > the 50 units that give the not-to-be exceeded annual dose for extraordinary profession-dependent reasons, say for pilots […]

      Thóse units are in milliSievert per year, NOT nanSievert per hour! The maximum permitted dose in one year for a radiation worker under US Federal Law is 50 mSv. I assume that will be similar in Europe.
      50mSv/year = 50,000,000 nSv/year = “50,000,000 nSv / 8765.81 hours” which averages to 5704 nSv/hr, or 5.7 µSv/hr. Given levels at high altitude range between 1 and 8 µSv/hr (ish, depending on route, height, etc.), it’s likely that they’ll be exposed to higher hourly dose rates every now and then, but highly unlikely pilots will ever exceed that maximum total. Putting that level on the EURDEP graphs would, in my opinion, only further hide the significance of the minor upticks, though.

      For the significance of tiny upticks caused by fallout that can be inhaled or ingested (as opposed to distant radiation sources such as cosmic rays or lightly radioactive larger objects (including the Earth itself), I suggest my blog post,

      I hope that’s helpful. When I’m housed, I will fix the donate button. Thanks!

  7. Ayse Deniz says:

    Much thanks for the clarification. I realized after posting it that I was missing a step, that yearly dose must be calculated from the hourly value. But the clarification on units is crucial: nanoSievert and microSievert, then.

    Meanwhile on the Turkish side, a video has been posted on internet by the Japanese artist, Kouki
    Tange, to warn Turkish people against the building of new reactors:

    The video was re-dubbed by pro-government media hit-men into an ADVERTISEMENT for the reactor:

    After a petition on and public pressure, youtube has removed the video with the “http” extension but the one with the “https” extension is still online.
    The construction firm that has the bid for the Akkuyu reactor is owned by Mehmet Cengiz, infamous for his remarks leaked in Dec. 2014 that he wants to “f… the a… of the nation”.

    enjoy the autmn scenery out there,
    best from Turkey.

  8. Ayse Deniz says:

    Forgot to say–it’s a big relief to learn that the European graphs that range around the 100s is in nanoSieverts. The spikes or ticks are too worrying, they should by no means be underestimated, quite the contrary (my suggestion of a red line at 50 units was based on wrong assumptions). The Macedonian graph is of utmost concern. And to think that these periods are not even announced to the public, not even the simple caution of staying indoors implemented. Capitalists and all they succeeded in luring have together crossed over the bar of Shame, incorrigibly!

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