#FactCheck - Old Japanese Earthquake Footage Falsely Linked to Tibet
Executive Summary:
A viral post on X (formerly Twitter) gained much attention, creating a false narrative of recent damage caused by the earthquake in Tibet. Our findings confirmed that the clip was not filmed in Tibet, instead it came from an earthquake that occurred in Japan in the past. The origin of the claim is traced in this report. More to this, analysis and verified findings regarding the evidence have been put in place for further clarification of the misinformation around the video.
Claim:
The viral video shows collapsed infrastructure and significant destruction, with the caption or claims suggesting it is evidence of a recent earthquake in Tibet. Similar claims can be found here and here
Fact Check:
The widely circulated clip, initially claimed to depict the aftermath of the most recent earthquake in Tibet, has been rigorously analyzed and proven to be misattributed. A reverse image search based on the Keyframes of the claimed video revealed that the footage originated from a devastating earthquake in Japan in the past. According to an article published by a Japanese news website, the incident occurred in February 2024. The video was authenticated by news agencies, as it accurately depicted the scenes of destruction reported during that event.
Moreover, the same video was already uploaded on a YouTube channel, which proves that the video was not recent. The architecture, the signboards written in Japanese script, and the vehicles appearing in the video also prove that the footage belongs to Japan, not Tibet. The video shows news from Japan that occurred in the past, proving the video was shared with different context to spread false information.
The video was uploaded on February 2nd, 2024.
Snap from viral video
Snap from Youtube video
Conclusion:
The video viral about the earthquake recently experienced by Tibet is, therefore, wrong as it appears to be old footage from Japan, a previous earthquake experienced by this nation. Thus, the need for information verification, such that doing this helps the spreading of true information to avoid giving false data.
- Claim: A viral video claims to show recent earthquake destruction in Tibet.
- Claimed On: X (Formerly Known As Twitter)
- Fact Check: False and Misleading
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Introduction
In today’s digital world, data has emerged as the new currency that influences global politics, markets, and societies. Companies, governments, and tech behemoths aim to control data because it accords them influence and power. However, a fundamental challenge brought about by this increased reliance on data is how to strike a balance between privacy protection and innovation and utility.
In recognition of these dangers, more than 200 Nobel laureates, scientists, and world leaders have recently signed the Global Call for AI Red Lines. Governments are urged by this initiative to create legally binding international regulations on artificial intelligence by 2026. Its goal is to stop AI from going beyond moral and security bounds, particularly in areas like political manipulation, mass surveillance, cyberattacks, and dangers to democratic institutions.
One way to address the threat to privacy is through pseudonymization, which makes it possible to use data valuable for research and innovation by substituting personal identifiers for artificial ones. Pseudonymization thus directly advances the AI Red Lines initiative's mission of facilitating technological advancement while lowering the risks of data misuse and privacy violations.
The Red Lines of AI: Why do they matter?
The Global Call for AI Red Lines initiative represents a collective attempt to impose precaution before catastrophe, which was done with the objective of recognising the Red Lines in the use of AI tools. Thus, anything that unites the risks of using AI is due to the absence of global safeguards. Some of these Red Lines can be understood as;
- Cybersecurity breaches in the form of exposure of financial and personal data due to AI-driven hacking and surveillance.
- Occurrence of privacy invasions due to endless tracking.
- Generative AI can also help to create realistic fake content, undermining the trust of public discourses, leading to misinformation.
- Algorithmic amplification of polarising content can also threaten civic stability, leading to a demographic disruption.
Legal Frameworks and Regulatory Landscape
The regulations of Artificial Intelligence stand fragmented across jurisdictions, leaving significant loopholes aside. Some of the frameworks already provide partial guidance. The European Union’s Artificial Intelligence Act 2024 bans “unacceptable” AI practices, whereas the US-China Agreement also ensures that nuclear weapons remain under human, not machine-controlled. The UN General Assembly has adopted resolutions urging safe and ethical AI usage, with a binding and elusive global treaty.
On the front of data protection, the General Data Protection Regulations (GDPR) of EU offers a clear definition of Pseudonymisation under Article 4(5). It also describes a process where personal data is altered in a way that it cannot be attributed to an individual without additional information, which must be stored securely and separately. Importantly, pseudonymised data still qualifies as “personal data” under GDPR. However, India’s Digital Personal Data Protection Act (DPDP) 2023 adopts a similar stance. It does not explicitly define pseudonymisation in broad terms, such as “personal data” by including potentially reversible identifiers. According to Section 8(4) of the Act, companies are meant to adopt appropriate technical or organisational measures. International bodies and conventions like the OECD Principles on AI or the Council of Europe Convention 108+ emphasize accountability, transparency, and data minimisation. Collectively, these instruments point towards pseudonymization as a best practice, though interpretations of its scope differ.
Strategies for Corporate Implementation
For a company, pseudonymisation is not just about compliance, it is also a practical solution that offers measurable benefits. By pseudonymising data, businesses can get benefits, such as;
- Enhancing Privacy protection by masking identifiers like names or IDs by reducing the impact of data breaches.
- Preserving Data Utility, unlike having a full anonymisation, pseudonymisation also retains patterns that are essential for analytical innovation.
- Facilitating data sharing can allow organizations to collaborate with their partners and researchers while maintaining proper trust.
According to these benefits, competitive advantages get translated to clauses where customers find it more likely to trust organizations that prioritise data protection, while pseudonymisation further enables the firms to engage in cross-border collaboration without violating local data laws.
Balancing Privacy Rights and Data Utility
Balancing is a central dilemma; on one side lies the case of necessity over data utility, where companies, researchers and governments rely on large datasets to enhance the scale of AI innovation. On the other hand lies the question of the right to privacy, which is a non-negotiable principle protected under the international human rights law.
Pseudonymisation offers a practical compromise by enabling the use of sensitive data while reducing the privacy risks. Taking examples of different domains, such as healthcare, it allows the researchers to work with patient information without exposing identities, whereas in finance, it supports fraud detection without revealing the customer details.
Conclusion
The rapid rise of artificial intelligence has led to the outpacing of regulations, raising urgent questions related to safety, fairness and accountability. The global call for recognising the AI red lines is a bold step that looks in the direction of setting universal boundaries. Yet, alongside the remaining global treaties, practical safeguards are also needed. Pseudonymisation exemplifies such a safeguard, which is legally recognised under the GDPR and increasingly relevant in India’s DPDP Act. It balances the twin imperatives of privacy, protection, and data utility. For organizations, adopting pseudonymisation is not only about ensuring regulatory compliance, rather, it is also about building trust, ensuring resilience, and aligning with the broader ethical responsibilities in this digital age. As the future of AI is debatable, the guiding principles also need to be clear. By embedding techniques for preserving privacy, like pseudonymisation, into AI systems, we can take a significant step towards developing a sustainable, ethical and innovation-driven digital ecosystem.
References
https://www.techaheadcorp.com/blog/shadow-ai-the-risks-of-unregulated-ai-usage-in-enterprises/
https://planetmainframe.com/2024/11/the-risks-of-unregulated-ai-what-to-know/
https://cepr.org/voxeu/columns/dangers-unregulated-artificial-intelligence
https://www.forbes.com/sites/bernardmarr/2023/06/02/the-15-biggest-risks-of-artificial-intelligence/
Executive Summary
Amid reports that AIIMS Delhi has initiated the process to implement the Supreme Court’s decision allowing passive euthanasia for Harish Rana, a video is being shared on social media claiming to show his emotional farewell. However, research by the CyberPeace found the viral claim to be misleading. Our research revealed that the video has no connection to the Harish Rana case. In reality, the footage is from Surat, Gujarat, where the family of a 45-year-old brain-dead woman donated her organs.
Claim:
On social media platform X (formerly Twitter), a user shared the viral video on March 16, 2026, with the caption:
“Harish Rana… struggled for life for 13 years… in the end said goodbye to the world through euthanasia… but even while leaving, gave new life to many through organ donation… eyes, liver, kidneys and several other organs will give a new life to many…”
Post link and archive link are given below:
Fact Check
We took screenshots from the viral video and conducted a reverse image search. This led us to an Instagram handle where the same video was uploaded on January 27, 2026.
- https://www.instagram.com/reels/DUAt_42k2ME/
According to the caption on the Instagram post, the video shows a brain-dead woman in Surat whose liver, both kidneys, and eyes were donated. The post also included an image of the woman. Based on clues from the viral video, we conducted a keyword search on Google and found a report on the website of News18 Gujarati.
According to the report, organ donation by Ritaben Hareshbhai Korat in Surat gave a new life to five patients. The report also carried her photograph, matching the visuals seen in the viral video.
Conclusion:
Our research found that the viral video has no connection to Harish Rana. It actually shows an incident from Surat, Gujarat, where the family of a 45-year-old brain-dead woman, Ritaben Korat, donated her organs.
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At Semicon India 2025 held recently, the Prime Minister declared, “when the chips are down, you can bet on India”. The event showcased the country’s first indigenous microprocessor, Vikram, developed by ISRO’s Semiconductor Lab, and announced that commercial chip production will begin by the end of 2025. India aims to become a global player in semiconductor production, and build self-reliance in a world where global supply chains are shifting rapidly.
Why Semiconductors Matter
Semiconductors power almost everything around us, from laptops and air conditioners to cars and even the tiniest gadget we hardly notice . They’ve rightly been called the “oil of the digital age” because our entire digital world depends on them. But the global supply chain for chips is heavily concentrated. Taiwan alone makes over 60% of the world’s semiconductors and nearly 90% of the most advanced ones. Rising tensions between China and Taiwan have only shown how fragile and risky this dependence can be for the rest of the world. For India, building its own semiconductor base is not just about technology, it is about economic security and reduced dependence on imports.
India’s Push: The Numbers and Projects
The government has committed nearly US$18 billion across 10 projects, making it one of the country’s largest industrial bets in decades. Under the Production Linked Incentive (PLI) scheme, ₹76,000 crore (about US$9.1 billion) was set aside, of which most has already been allocated.
Key developments include:
- Vikram processor – developed at ISRO’s Semiconductor Lab, fabricated on 180nm technology.
- CG Power facility in Sanand, Gujarat – launched in 2024, scaling chip assembly and testing.
- Micron’s investment – ₹22,500+ crore in Gujarat for packaging and testing.
- Tata Electronics–PSMC partnership – ₹91,000 crore tie-up with Taiwan’s Powerchip for fabs.
The domestic market, valued at US$38 billion in 2023, is expected to touch US$100–110 billion by 2030 if growth sustains.
The Technology Gap
While the Vikram chip, a 32 bit microprocessor, is a proud milestone, it highlights the technology gap India faces. The chip was fabricated using a 180nm CMOS process, a process that was cutting-edge back in the early 2000s. Today, companies like TSMC and Samsung are already producing 3nm chips for smartphones and AI servers, whereas those like Nvidia and Apple have developed chips 2ith 64-bit processing capabilities.
This means India's main focus, to become self-reliant in the mature end of the spectrum useful for space, defense, and automotives and electronics, is far from the global cutting edge. Bridging this gap will require both time and deep technical expertise.
Talent and Design Strengths
On the positive side, India already contributes around 20% of global semiconductor design talent. Two advanced design centers—one in Noida and another in Bengaluru—are working on 3nm designs. The government’s Design Linked Incentive scheme has cleared 20+ projects to nurture startups in chip design.
Over 60,000 engineers have been trained under various programs, but scaling this to the hundreds of thousands needed for fabs remains a challenge. Unlike software development, semiconductor fabrication demands highly specialised skills in process engineering, yield optimization, and supply chain logistics.
Lessons from Global Players
Countries like Taiwan, South Korea, and the US didn’t build their chip industries overnight. Taiwan’s TSMC spent decades and billions of dollars mastering yield rates and building trust with clients. The US recently passed the CHIPS and Science Act to revive domestic production, while the EU has its own Chips Act. Japan, too, has pledged billions, including ¥10 trillion in cooperation with India.
These examples show that success depends not just on funding , but also on harmony between government and private players, consistent execution, ecosystem building, and global partnerships.
The Challenges Ahead
India’s ambitions face several hurdles:
- Capital intensity – A single leading-edge fab costs US$10–20 billion, and requires constant upgrades.
- Supply chain complexity – Hundreds of chemicals, gases, and precision tools are needed, many of which India doesn’t yet produce domestically.
- Technology transfer – Advanced lithography machines (from ASML in the Netherlands, for example) are tightly controlled and not easily available.
- Execution risks – Moving from announcements to commercially viable fabs with competitive yields is where many countries have stumbled.
The Way Forward
India has big ambitions in the field of semi-conductor design and manufacturing, with the goal of becoming a major global exporter instead of importer. The country appears to be adopting a step-by-step approach, starting with assembly, testing, and mature-node fabs, while simultaneously investing in design, research, and talent. Every successful global power in this industry first mastered older nodes before advancing to cutting-edge levels.
At the same time, international collaborations with players like Micron, Tata-PSMC, and Japan will be critical for technology transfer and capacity building. If India can combine its engineering talent, rising domestic demand, and government backing with the PLI scheme, and drive global collaborations, the outlook can be promising.
Conclusion
India’s semiconductor story is just beginning, but the direction is clear. The Vikram processor and investment announcement at Semicon 2025 shows the intent of the government. The hard part now lies ahead: moving from prototypes to large-scale production and globally competitive fabs in an industry that demands substantial investment, flawless execution, and years of patience.
Yet the stakes couldn’t be higher. Semiconductors will shape the future of economies and national security . If India plays its cards right by nurturing talent, innovating and researching, and driving global partnerships, the dream of becoming a global semiconductor hub may well move from ambition to reality.
References
- https://www.ndtv.com/india-news/when-chips-are-down-bet-on-india-pm-narendra-modis-big-semiconductor-push-6539317
- https://www.indiatoday.in/science/story/what-is-vikram-32-bit-chip-presented-to-pm-modi-at-semicon-india-2025-2780582-2025-09-02#
- https://www.visionofhumanity.org/the-worlds-dependency-on-taiwans-semiconductor-industry-is-increasing/
- https://m.economictimes.com/tech/artificial-intelligence/tata-electronics-and-powerchip-semiconductor-manufacturing-corporation-to-build-indias-first-semiconductor-fab/articleshow/113694273.cms
- https://www.business-standard.com/economy/news/10-trillion-yen-in-10-years-japan-pledges-big-investment-in-india-125082901564_1.html
- https://www.oecd.org/content/dam/oecd/en/publications/reports/2023/06/vulnerabilities-in-the-semiconductor-supply-chain_f4de7491/6bed616f-en.pdf
- https://techwireasia.com/2025/09/semiconductor-india-commercial-production-2025/
