HomeFootballInformation Integrity vs. the Virus of Fear: Russia's Secret Lab, an Astrologer's Claim, and Blockchain's Chain of Proof
Information Integrity vs. the Virus of Fear: Russia's Secret Lab, an Astrologer's Claim, and Blockchain's Chain of Proof
মোনি বিদেন্তে নামের এক জ্যোতিষী দাবি করেছিলেন, তাঁর দর্শনে রাশিয়ার একটি গবেষণাগার থেকে নিউমোনিক প্লেগ ছড়িয়ে পড়ার আশঙ্কা রয়েছে। সাইবেরিয়ার একটি সংক্রামক রোগ ইনস্টিটিউটে এক কর্মীর মৃত্যুর পর এই দাবি ছড়ায়। বিশ্ব স্বাস্থ্য সংস্থা অবশ্য বাহ্যিক বিস্তারের ঝুঁকি অত্যন্ত কম বলে জানিয়েছে। মূল তথ্য: - মোনি বিদেন্তে এল হেরালদো টেলিভিশনে রাশিয়ার ল্যাব থেকে প্লেগ ছড়ানোর আশঙ্কার দাবি করেন। - সাইবেরিয়ার একটি সংক্রামক রোগ গবেষণা কেন্দ্রে এক কর্মীর মৃত্যুর ঘটনা সামনে আসে। - ইয়ার্সিনিয়া পেস্টিস ব্যাকটেরিয়ার সংস্পর্শে নিউমোনিক প্লেগ মানুষ থেকে মানুষে ছড়াতে পারে। - প্রায় ২০০,০০০ মানুষের সংস্পর্শে আসার দাবি কোনো স্বাধীন সূত্রে যাচাই হয়নি। - বিশ্ব স্বাস্থ্য সংস্থা বাহ্যিক ছড়িয়ে পড়ার ঝুঁকি অত্যন্ত কম বলে মূল্যায়ন করেছে। সূত্র: এল হেরালদো টেলিভিশন ও সংশ্লিষ্ট প্রতিবেদন। | Cross-checked: cricsultan.com সম্পর্কিত প্রশ্নোত্তর: প্রশ্ন: মোনি বিদেন্তে কে? উত্তর: তিনি একজন জ্যোতিষী, যিনি টেলিভিশনে ভবিষ্যদ্বাণীমূলক দাবি প্রকাশ করেন। প্রশ্ন: বিশ্ব স্বাস্থ্য সংস্থা কী বলেছে? উত্তর: সংস্থা জানিয়েছে, বাহ্যিকভাবে সংক্রমণ ছড়িয়ে পড়ার ঝুঁকি অত্যন্ত কম। প্রশ্ন: দাবিটি কি প্রমাণিত? উত্তর: না, এটি একটি অযাচাইকৃত দাবি, কোনো ল্যাব রিপোর্ট বা স্বাধীন সূত্রে সমর্থিত নয়।
A television studio. An astrologer seated before the cameras. And a single sentence that crosses borders within hours — a pneumonic plague could be released from a laboratory in Russia. What followed is not, in truth, the story of a pandemic. It is the story of a piece of information — one where the claim travels faster than the evidence and fear spreads quicker than verification. Behind the prophecy there is no sample, no lab report, no independent test. Yet one name — Mhoni Vidente — and one television channel — El Heraldo Televisión — were enough to plant the seed of global alarm.
The figure at the centre of this episode is an astrologer by profession. Her claim rests on astrological vision, not on any epidemiological study. She said on television that her 'vision' had revealed a risk of pneumonic plague spreading from a Russian laboratory. Attached to this was a real event — the death of a worker at a Siberian infectious-disease research institute. Two separate threads were woven into one narrative. But the join itself is the weakest link: nobody has shown a causal connection between a death and an astrologer's claim. Still, the link was made, and the picture of a possible catastrophe lodged itself in public imagination.
It matters to understand what pneumonic plague actually is. Plague is caused by the bacterium Yersinia pestis, and when the infection reaches the lungs it is called pneumonic plague. This form is dangerous because droplets from coughing or sneezing can pass it directly from person to person — transmission occurs through close contact. The crucial fact, however, is that the bacterium's natural reservoir is mainly rodents and their fleas, and its spread in nature is controllable. To prove that it was 'released' from any lab would require sample analysis, molecular sequencing and a structured epidemiological investigation — none of which exist here.
The Siberian institute must be viewed with the same care. Such institutions conduct infectious-disease research worldwide, sometimes as part of preparedness, sometimes to develop vaccines or treatments. The existence of an institute, or a death within it, does not by itself prove a public-health threat. Accidents can happen and internal safety may merit scrutiny — but that is the work of an investigation, not of rumour. Here lies the crisis of informational credibility.
The World Health Organization's assessment draws a clear line. It has stated that the risk of external spread is very low. At the same time, the claim that some 200,000 people were exposed has not been verified by any independent source. In other words, the gap between an unverified claim and an official, structured assessment is obvious — yet in the economy of circulation, the two end up carrying almost equal weight. Why that happens is the real subject of analysis.
My own experience of more than two decades working with information and statistics tells me that numbers of fear spread faster than numbers of proof. Evidence demands waiting; verification demands patience; fear rewards instantly. If an astrologer's claim turns out true, the claimant can say they warned us first — that reassurance is their capital. If it proves false, almost no one remembers the loss. This asymmetric profit-and-loss account has kept prophetic claims alive for ages.
This is where blockchain becomes relevant, but carefully. What blockchain can do is record the source and time of information. If a cryptographic hash of a document, report or video is written to a distributed ledger, nobody can later alter it silently — a change would break the hash and expose the tampering. This property is invaluable for source verification, journalistic chains of proof, even authenticating official documents. But — and here is the limit — blockchain can prove when and by whom a claim was published; it cannot prove the claim is true. An astrologer's prophecy can be immaculately recorded on-chain; that does not make the prophecy scientifically valid.
Technology gives testimony, not a verdict. A football analogy helps. Video assistant refereeing supplies evidence on an offside call, but the final decision still rests with a human. So too with information — blockchain can provide verification infrastructure, not interpretation or judgement. When two systems disagree, the truth is found in arbitration, not by forcing one upon the other.
Blockchain carries a danger usually left out of the conversation. Immutability cuts both ways. Once a false claim is written on-chain, it stays forever — it cannot be deleted. The same technology that protects true information can equally make a falsehood permanent. So any future verification design must include not only 'cannot be altered' but also 'can be refuted' — correction layers, independent attestations, and joint testimony from multiple institutions.
This episode exposes another major issue — the risk of single-source dependence. The old rule of journalism is that a big claim needs at least two independent, reliable sources. Here, sources mean parties who can take responsibility for truth, not third-party assertions. In the digital age that rule has been hollowed out. A television appearance, a social-media post, a forwarded message — this three-way echo now often stands in for truth itself.
When I began working with professional information analysis, verification meant calling, visiting, asking for documents. Today it means matching hashes, reading metadata, checking timestamps. The tools have changed; the responsibility has not. Building a content chain of proof is easier now, but what is the use if no one employs the advantage? Easy availability of technology does not create honesty; it creates opportunity.
Here the idea of pre-registration helps. In scientific research, hypotheses are written down in advance and later matched against results. The same method can be applied to information — anyone claiming a specific event will occur should register that claim in advance with date, time and witnesses. Blockchain timestamps can do this impeccably, making clear at least who said what first, and what actually happened afterwards.
Had this claim been registered in advance, two gains would follow. First, the claimant could show their own success record. Second, their failures would also be public. The biggest hole in the world of prophecy is that failures are never counted. Someone who is wrong a thousand times, and right once, is called a 'seer'. Verifiable registration can break this game of selective memory.
Another dimension of information integrity is source identity. Decentralised identifiers and verifiable credentials can separate a verified expert from a non-expert. If a health claim made clear whether the speaker held credentials in epidemiology, audiences could at least weigh it. Blockchain-based identity systems can open such credential verification — though even that is no final solution, since holding a certificate does not guarantee someone is right.
Now the uncomfortable side nobody likes to admit. Rumours spread not only from a lack of information, but because rumours serve some people. Suspicion of a government or institution benefits someone. Fear is profitable for media business too — fear holds attention. So such narratives endure not only through absence of evidence but through demand. Blockchain can prove the truth of information; it cannot remove human bias.
A serious counter-argument deserves a hearing, since fair judgement means listening to the defence as well as the accusation. Against those who call the claim an 'unverified rumour', the argument runs: plague is real even in the modern age, outbreaks have appeared from Madagascar to China, and staying alert to any infectious threat in advance is prudent. That argument is not wholly unreasonable. But the difference between caution and an unverified claim must be maintained. 'Stay alert' is one thing; 'a specific disease was released from a specific lab' is quite another. The first is responsible; the second requires evidence.
This is where blockchain's true role becomes clear — it helps draw a clear line between 'caution' and 'claim'. If it is recorded which is an official assessment and which is mere conjecture, audiences can decide for themselves. If the WHO assessment exists as a separately signed, time-stamped document, and the astrologer's claim as another, the two can never be confused.
One more thing is worth noting. Such narratives usually have a short lifespan. Attention drifts within a week or two, because without a real event — an actual outbreak — the narrative runs out of fuel. But the damage remains: trust in experts falls, and the next time a genuine warning comes, people dismiss it as rumour too. That is the greatest loss, rarely counted.
This is genuinely a crisis of the information ecosystem. A false alarm casts the next true alarm under suspicion. The more rumours a society sees, the more it learns to ignore real signals. This erosion is silent, slow, and deep.
So the technological lesson is clear — verification requires infrastructure, and in that infrastructure blockchain timestamps, hash-based chains of proof and distributed records can play a vital role. But the biggest lesson is not technological but ethical. The credibility of information is not built in an app or on a chain; it is built in practice — the habit of verification, the courage to admit failure, and the discipline of distinguishing a claim from a proof.
When I think about this episode, one thought keeps returning. Technology has put in our hands a tool with which we can preserve every footprint of information. But if we use that tool only to store our own side and delete the other's, the ledger will not be neutral — it will be a record that looks like truth but is not.
So the question now stands before every newsroom and technology firm — will we build a verification system that also counts failures? That draws a line between proof and claim? That distinguishes caution from fear? The answer is not technological; it is ours. Because in a distributed ledger, truth and falsehood can both live forever with equal permanence — the choice is ours.


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