Tuesday, July 7, 2026

The Mumbai-Pune Expressway and the Anatomy of a Rs 7,000 Crore Illusion

When the Rain Exposes the Emperor's New Roads See All Articles

When the Rain Exposes the Emperor's New Roads: The Mumbai-Pune Expressway and the Anatomy of a Rs 7,000 Crore Illusion

There is a peculiar ritual that unfolds every monsoon in India. It is not a festival, nor a dance. It is the annual unmasking of the country's most expensive infrastructure projects — the ones that politicians inaugurate with great fanfare, only for the first heavy shower to reveal their true, crumbling nature. On May 1, the Mumbai-Pune Expressway's "Missing Link" was opened to the public with the kind of celebration usually reserved for a space launch. The Chief Minister of Maharashtra, Devendra Fadnavis, drove a car across the newly built 13.3 km stretch, beaming with pride. Within eight weeks, the first rain of the season turned that pride into a puddle. Waterlogged roads, landslides near tunnels, and gaping potholes — all within a month of the ribbon being cut.

The question is not whether the rain is heavy — it is. The question is why a structure built at a cost of nearly Rs 7,000 crore, with expertise from seven countries, cannot withstand a single monsoon season. Are we building roads, or are we building fairy tales?

Section 1: The Grand Opening and the Immediate Collapse

The Missing Link is a 13.3 km stretch of the Mumbai-Pune Expressway, designed to bypass the treacherous ghat section near Lonavala. It includes the country's tallest cable-stayed bridge (182 meters) and a tunnel that Guinness World Records certified as the widest underground tunnel in the world. At the inauguration, Fadnavis called it an "engineering marvel." He pointed out that the design was done in Canada, wind testing in Denmark, cable testing in Austria, cable production in Malaysia, and consultants from Spain, Singapore, and Taiwan. And then he emphasized that the companies that built it were 'pure Indian'.

But within weeks, that marvel began to look like a mirage. A viral video by journalist Sohit Mishra showed water cascading down the tunnel, debris blocking the road, and the entire expressway shut for hours. The state government’s official response was that the damage was only to the "external false frame" — a phrase that seems designed to confuse rather than clarify. The tunnel structure itself, they insisted, was safe. But for the commuters who were stuck in the muck, safe was the last word on their minds.

Section 2: Engineering Marvel or Engineering Failure?

Let us look at the arithmetic. The Missing Link cost about Rs 502 crore per kilometer. At that rate, one might expect a road that can handle not just wind but also water. Listen to what Fadnavis said at the inauguration: the bridge was designed to withstand wind speeds of up to 240 km/h. Yet it could not handle a downpour that — while heavy — was hardly unprecedented for the Western Ghats. The region recorded about 670 mm of rain in 24 hours, but that is not a freak occurrence; it is a seasonal pattern.

So the design accounted for wind but not for water? The drainage system, which is a basic element of any road in a high-rainfall zone, failed. The soil above the tunnel slid. The road surface developed craters. This is not an act of God; this is an act of omission — or perhaps commission.

Claim Reality
Designed to withstand 240 km/h winds Fails to handle 670 mm of rain in 24 hours
Widest underground tunnel in the world Landslide occurred above the tunnel ingress
Cost Rs 7,000 crore, with help from 7 countries Potholes and waterlogging within 8 weeks
Inaugurated by CM with a celebratory drive Expressway shut for hours due to landslides and flooding

Section 3: The Double Talk of 'Act of God' and 'Act of Fraud'

When a bridge collapsed in Kolkata in 2016, West Bengal Chief Minister Mamata Banerjee called it an "act of God." Then Prime Minister Narendra Modi called it an "act of fraud." Now, in Maharashtra, the Vice-Chairman of the Maharashtra State Road Development Corporation (MSRDC), Anil Kumar, has resorted to the same 'act of God' defence. Is it an act of fraud this time, or does the definition change depending on which party is in power?

This is not just about one expressway. The same pattern repeats across the country. The Delhi-Dehradun Expressway, built at Rs 12,000 crore, developed potholes. The Ganga Expressway, costing Rs 36,000 crore, has videos of crumbling surfaces going viral. And when people post these videos, FIRs are filed against them. Rahul Gandhi, who shared a video of the Delhi-Dehradun Expressway, said that because of a "culture of greed" in India, the infrastructure is cracking. But that is only half the story. The other half is a culture of immunity — where those who build and those who approve are never held accountable.

Section 4: Beyond the Expressway — Mumbai's Annual Floods and the Silence of the Middle Class

While the Missing Link hogged the headlines, the real story was unfolding in the bylanes of Dharavi and Mahim, where the city's poorest were once again left to battle the elements alone. In Dharavi, near the Metro station, residents showed how the construction of the Metro had blocked their existing drainage system. A nallah that previously carried rainwater into the Mithi River was closed. In its place, the Metro authorities promised a new drain — which would take months to complete. Until then, the people were left pumping floodwater out of their homes using long pipelines.

One resident from Dongar Khana, right next to the Dharavi Metro station, said angrily: "The PSP company, which is a mega developer, connected their drainage line to the BMC line without even asking. They dug foundations and released water, and now the entire Mahim station area is flooded. For three days, people were in water. No one listens to us." Another added, "We have been telling them for a month. They say we will fix it in three or four months. Meanwhile, we have to bathe in the floodwater?"

And the most horrifying detail: the water in that area was white, not brown. Residents reported that every year during the rains, chemicals from a rubber factory mix into the floodwater, which then enters their homes. "This is chemical — TV ki bimari hogi (this causes TV disease)," said one man, using a local term for skin ailments. "It kills the plants in the garden." Yet, no major news channel or politician paid attention. Mumbai's floods are always covered from the perspective of high-rises and stranded cars, but the slums — where chemical-laced water is a seasonal reality — remain invisible.

Section 5: The Politics of Infrastructure — Talking Points vs Real Roads

The government today builds not roads, but narratives. The Missing Link was sold as a symbol of India's engineering prowess, a testament to the "New India" where even complex projects are executed with ease. But the narrative crumbles faster than the roads. The MSRDC's Anil Kumar called the damage an "act of God." But in 2016, Modi used the term "act of fraud" for a similar collapse in Bengal. If it is fraud, then investigations must happen. If it is God, then why spend thousands of crores? Either way, the public is left to pay — with taxes and with their lives.

The middle class, which fuels the demand for such infrastructure, often looks away from the misery of the poor. The annual flooding of Mumbai is not just an engineering failure; it is a moral failure. The city has learned to coexist with corruption, to accept it as a seasonal visitor like the monsoon. But the rain will keep coming. And the roads, built on a foundation of hollow promises and skimmed budgets, will keep falling.

Criticisms

  • Chief Minister Devendra Fadnavis: Your 'engineering marvel' speech was a work of fiction. You claimed the bridge could withstand 240 km/h winds, yet it could not handle a few days of rain. You were briefed on the design and the costs, but not on the drainage? Your claim that the bridge is an example of Indian capability is an insult to the engineers who actually built it with foreign expertise — while you took all the credit.
  • MSRDC Vice-Chairman Anil Kumar: Calling this an 'act of God' is a cowardly escape. If a Rs 7,000 crore structure cannot stand up to the weather that was predictable for that region, then it is an 'act of incompetence' or 'act of corruption'. The people of Maharashtra deserve a straight answer, not a theological excuse.
  • Prime Minister Narendra Modi and the central government: You were quick to call Mamata Banerjee's bridge collapse an 'act of fraud' in 2016. Where is that same energy now? Your government's infrastructure projects are falling apart from Mumbai to Delhi to Uttar Pradesh. You file FIRs against citizens who post videos of potholes. You claim a 'culture of greed' but you enabled the very system that allows contracts to be awarded without accountability.
  • Media houses and news channels: You covered the inauguration with breathless enthusiasm. You showed the Chief Minister driving on the new road. But when the same road flooded, you either ignored it or gave it a 30-second slot. The real story is in the slums of Dharavi, where chemical water flows into homes. You don't go there because it doesn't generate clicks from the middle class. Stop being the cheerleader for the government and start being the watchdog.
  • Rahul Gandhi: Your video critique is correct, but it stays at the level of generalities. Where is your party's detailed plan to fix these issues? Your statements become ammunition for arguments but not solutions. The people need more than tweets; they need a concrete alternative to the present model of infrastructure development.

Conclusion: The Real Missing Link

The real missing link is not a 13 km stretch of road. It is the link between the government's promises and the people's reality. It is the link between the money spent and the quality delivered. It is the link between the misery of the Dharavi resident and the attention of the Mumbai elite. Until that link is built, every monsoon will bring the same spectacle: roads that collapse, politicians who blame God, and a people left to wade through chemical-laden water. The rain does not lie. It simply exposes the truth that we choose not to see.

Interview at IBM For Pfizer for Senior Data Scientist Role (Jun 2026)

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Interview Critique Report

Senior Data Scientist — Panel Interview with Sharath (Interviewer) & Ashish (Candidate)

Section 1: Structured Transcript

Phase 1 — Opening & Framing
Sharath (Interviewer)

Opens by confirming audio, asks Ashish's current designation and project, and notes the role is tied to a Pfizer account with a likely agentic AI use case.

Ashish

Confirms he is a data scientist and expresses enthusiasm for agentic work, framing it as where he "spends most of his time these days."

Phase 2 — Profile Walkthrough & Career Timeline
Ashish

Gives a one-minute IBM/Accenture profile summary, anchored on the text-to-SQL agentic analytics platform (orchestrator, RAG agent, sub-agents, reporting) that lets end users query databases and PDFs in natural language without knowing SQL dialects.

Sharath

Notices a CV inconsistency (IBM tenure listed as one month vs. total experience of 13 years) and asks for a company-by-company timeline.

Ashish

Reconstructs the timeline: Software Engineer/web developer (~2 yrs) → Mobilium, telecom analytics on OLAP/Presto (~3.5+ yrs, concurrent with an ML/Data Science master's) → Infosys as Data Scientist (~6 yrs) → Cognizant (8 months) → Accenture (~1.5 yrs) → IBM (current, 1 month). Confirms Azure as his primary cloud platform.

Phase 3 — Use Case 1: Credit Card Anomaly Detection (Infosys)
Ashish

Describes a financial-services client seeing suspicious transaction spikes. Data resided on mainframes, moved into Hive, accessed via PySpark notebooks on the client's proprietary cloud ("Cornerstone"). He led a team of 2–3, reporting to a delivery manager.

He evaluated three model families: distance-based (K-means), tree-based (Isolation Forest), and autoencoder-based reconstruction error. The team selected Isolation Forest via the pyod package for its speed and — critically — its explainability to the model governance team, versus the higher training cost and lower interpretability of the neural and distance-based options. Contamination rate was tuned using an unsupervised Gaussian Mixture Model from scikit-learn to isolate a "genuine" cluster.

Models were trained in PySpark on Cornerstone, serialized as pickle/joblib, and run initially on quarterly batches; frequency changed once the model stabilized, at which point an MLOps team assumed monitoring and logging.

Sharath

Probes directly: "Is it like you are also doing hands-on on building these models?" and asks for data volume and event rate.

Ashish

Confirms hands-on coding, estimates ~500 million historical records with a ~1–2% anomaly rate, but hedges: "it's been a couple of years... if I have to recall those things."

Phase 4 — Use Case 2: Text-to-SQL Agentic Platform
Sharath

Redirects to the current/most recent project and asks for the architecture in concrete terms, using a telecom analogy ("which area had the highest call drops last week?").

Ashish

Describes a LangGraph-built, Azure-hosted multi-agent workflow: an orchestrator/router agent classifies the query as text-to-SQL (objective/analytical), RAG (subjective/definitional, served from PDFs), or a generic-knowledge fallback. The text-to-SQL path has sub-agents — meta-prompting, core text-to-SQL, LLM-as-judge, validation, query execution, and a narrative/story-writer agent. The RAG path uses Azure AI Search with chunking, indexing, and OpenAI embedding models (ada).

Sharath

Asks what components of Azure AI Search matter beyond indexes.

Ashish

Pauses ("let me think... just wanted to understand you did you? Maybe...") before pivoting to describing his role rather than completing the technical answer.

Phase 5 — The Role-Clarity Confrontation
Ashish

Describes sitting in architecture discussions, deciding between Azure Functions, Azure Web Services, and FastAPI, and having a "yes/no" say on architecture decisions (subject to senior approval).

Sharath

States plainly: "Basically, you are more or less a solution architect... that is the right statement." Then sharpens the ask: "We need a person who is hands-on... you have to talk about Azure AI Search skillset indexer — without this, Azure AI Search will not be implemented. How do you implement it? That is very important." He explicitly flags that AI tools can now write code, but "the thought process cannot be written" — signaling he wants proof of first-hand technical reasoning, not narration.

Ashish

Agrees he can be called a mix of associate manager / solution architect / hands-on engineer, but does not supply the missing technical detail (skillset indexers, enrichment pipelines) in the moment.

Phase 6 — Close & Follow-Up
Sharath

Schedules a same-day 20-minute regroup call, restricted to the text-to-SQL project only, explicitly to test hands-on depth, since feedback is due the same day.

Ashish

Agrees to the follow-up.

Section 2: Skills Evaluated

SkillNo. of Questions AskedPerformance (Rating / 5)
Career Narrative & Timeline Clarity43 / 5
Classical ML Model Selection & Justification (Anomaly Detection)54 / 5
End-to-End MLOps / Production Ownership33 / 5
Big Data / Data Engineering (PySpark, Hive, Mainframes)23 / 5
Agentic Multi-Agent Architecture (LangGraph)44 / 5
RAG Implementation Depth (Azure AI Search)32 / 5
Role Clarity & Hands-On Technical Proof62 / 5
Composure Under Direct Pushback43 / 5

Section 3: Detailed Critique

1. The CV/Timeline Inconsistency Cost You Credibility Early

What HappenedThe interviewer caught a CV builder error (IBM shown as your only 2024–26 employer) within the first two minutes. You explained it was a tooling error, but the explanation itself was meandering and required three follow-up questions to produce a clean timeline.

Why It MattersA senior candidate's first few minutes set the credibility baseline for the entire call. An avoidable clerical error forced the interviewer to spend early rapport-building time on forensic accounting of your resume instead of your technical strengths — and it primed him to double-check everything else you said, which is very likely why the hands-on interrogation later in the call was so unusually persistent.

Better ApproachLead with a pre-corrected, rehearsed 20-second timeline: "13 years total — 2 as a software/web engineer, 3.5 in data analytics at Mobilium, ~6 as a Data Scientist at Infosys, 8 months at Cognizant, 1.5 years at Accenture, and I just moved to IBM. My CV builder hasn't caught up yet — let me know if you'd like me to send a corrected one after this call." One sentence, no back-and-forth.

2. Strong Model-Selection Reasoning, But Buried Under Narrative

What HappenedYour explanation of why Isolation Forest beat K-means and autoencoders — training cost, explainability to a model governance team, and the pyod/contamination-rate tuning via Gaussian Mixture Models — was genuinely the strongest technical content in the call. But it arrived wrapped in run-on sentences ("so we had we the the client was storing...") that made the interviewer work to extract the decision logic, and he had to interrupt to redirect you back to the actual question.

Why It MattersAt the senior level, interviewers are evaluating not just whether you know the right answer, but whether you can communicate a decision trade-off crisply enough to brief a client or a governance board. Good content delivered as stream-of-consciousness reads as less senior than the same content delivered as three structured sentences.

Better ApproachStructure model-comparison answers as: (1) options considered, (2) the deciding constraint, (3) the outcome. E.g., "We shortlisted K-means, Isolation Forest, and an autoencoder. Isolation Forest won because it was fast to retrain on quarterly batches and, unlike the autoencoder, its contamination-rate parameter was auditable for the model governance team. We tuned that rate using a Gaussian Mixture Model to isolate the genuine-transaction cluster."

3. Vague Recall on Scale Metrics Undercut an Otherwise Solid Story

What HappenedWhen asked for data volume and fraud rate, you answered "should be around one percent... it's been a couple of years" rather than giving a confident figure or a clean caveat.

Why It MattersSenior candidates are expected to keep a small set of "signature numbers" (data volume, latency, accuracy lift, cost saved) memorized for their flagship projects, because these are exactly the numbers interviewers use to gauge real ownership versus secondhand familiarity. A hedge here reads as distance from the outcome, not humility.

Better ApproachBefore interviews, rebuild a one-page "numbers sheet" per project: volume, event rate, model performance, business impact. If a number is genuinely fuzzy, state your best estimate and range instead of trailing off: "Roughly 500 million historical transactions, with anomalies around 1–2% — I'd want to confirm the exact figure, but that's the ballpark we designed around."

4. The RAG/Azure AI Search Question Was the Turning Point of the Call — and You Didn't Answer It

What HappenedAsked "what are the other components of Azure AI Search beyond indexes?", your response was "Let me think... just wanted to understand you did you? Maybe..." followed by a pivot into describing your role rather than the missing technical answer (skillset, indexers, enrichment pipeline, semantic ranking, vectorizers).

Why It MattersThis is the single moment that triggered everything that followed — the interviewer's explicit "solution architect" label, the hands-on interrogation, and the same-day follow-up call. In a RAG-heavy market, "indexes" alone is a surface-level answer; the components that actually separate a working pipeline from a broken one are the skillset/indexer (which orchestrates chunking, enrichment, and vectorization) and the semantic configuration on top of the index. Not having this ready, on a project you named as your flagship, is exactly the implementation-description-vs-architecture-decision gap you've seen flagged in prior interview critiques — except here it showed up as a genuine knowledge gap rather than just a framing issue.

Better Approach"Beyond the index itself, the two components that matter most are the indexer/skillset — which defines how documents are cracked, chunked, and enriched (including calling out to an embedding skill) — and the index schema, where you configure vector fields, semantic configuration, and scoring profiles. We used [specific vectorizer/embedding model] and tuned [specific parameter] because [specific reason]." If you genuinely haven't built the indexer yourself, say so directly and pivot to what you did own: "The indexer and skillset were configured by [teammate/role]; my ownership was the retrieval-quality tuning and prompt orchestration around it." Precision about the boundary of your ownership is more credible than an ambiguous answer.

5. When Directly Challenged on "Hands-On vs. Architect," You Agreed With Both Labels

What HappenedThe interviewer stated flatly, twice, that you sound like a solution architect. You responded: "You can call me that... it was a mix of roles... I am hands-on also." When pressed further ("if you want to evaluate something on hands-on, no issues"), you again agreed to be tested rather than asserting a clear answer.

Why It MattersFor a Senior Data Scientist req specifically screening for hands-on depth, an ambiguous "I'm both, test me if you want" answer is worse than either a confident "yes, hands-on" backed by a code-level detail, or an honest "my day-to-day shifted to architecture/oversight, but here's the last thing I personally built." The interviewer's repeated rephrasing of the same question ("is it not... you say you are hands-on, but if I ask you to go ahead, can you?") is a strong signal he did not get a satisfying answer the first four times he asked.

Better ApproachDecide the honest answer before the call, and lead with it: "Day to day I split roughly 40/60 between hands-on implementation and architecture calls — on the text-to-SQL project specifically, I personally built the meta-prompting and validation agents in LangGraph; the Azure AI Search indexer was built by a teammate under my design, but I can walk through the config decisions in detail." This closes the loop on the first ask instead of inviting four more rounds of the same question.

6. The Call Ended With the Interviewer Setting the Terms of a Re-Test

What HappenedThe interviewer scheduled an urgent same-day 20-minute follow-up, restricted to a single project, specifically to probe hands-on depth — and noted he needs to submit feedback that same day.

Why It MattersThis is a candidate on probation within the interview itself. A follow-up like this is not routine; it happens when the interviewer likes enough about the candidate to not reject outright, but doesn't yet have what he needs to score "hands-on" with confidence. Treat the regroup as the actual decision-making conversation.

Better ApproachBefore that follow-up, prepare 2–3 code-level or config-level specifics for the text-to-SQL project: the exact LangGraph node/edge structure, one real prompt-engineering decision in the meta-prompting agent, and the Azure AI Search index schema/skillset detail from Critique #4. Precision here is the entire purpose of the second call.

Section 4: Next Steps — How to Improve From Here

  1. Close the Azure AI Search knowledge gap this week. Specifically learn and be able to whiteboard: indexers, skillsets, enrichment pipelines, vector/semantic configuration, and how a vectorizer is attached to a field. This was the one clear technical gap in the call, and it is fixable in a few hours of focused study plus one hands-on rebuild.
  2. Build a "signature numbers" sheet for your top 3 projects. One page per project: scale, key metric, business impact, and your specific ownership boundary. Rehearse pulling these numbers without hesitation.
  3. Pre-decide your role framing before every interview. Write one sentence that states your hands-on/architecture split honestly and specifically, so you're never negotiating your own title in real time with the interviewer.
  4. Practice answering technical "how" questions in three sentences: option set, deciding constraint, outcome. Your model-selection reasoning is genuinely strong — the fix is compression, not content.
  5. Fix the CV before the next interview. A ten-minute correction removes an entirely avoidable credibility hit that colors the rest of the conversation.
  6. For the scheduled follow-up call, prepare a tight, code-level walkthrough of one agent you personally built in LangGraph — nodes, edges, state schema, and one real debugging or prompt-tuning decision — since that is precisely what the interviewer said he needs to see before submitting feedback.

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Monday, July 6, 2026

Bombay High Court: Political Slogans Are Not Grounds for Exile

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5 Key Takeaways

  • Raising political slogans like 'BJP murdabad' is protected speech and cannot justify externment under Article 19(1)(a).
  • Police officers are public authorities, not functionaries of political ministers, and must remain impartial in enforcing law.
  • Externment orders require credible evidence of an imminent threat to public order, not mere political criticism.
  • The judgment safeguards the right to dissent and prevents the weaponization of externment laws against opposition or minority activists.
  • This ruling sets a binding precedent for courts nationwide when reviewing externment orders that penalize political expression.



Constitutional Law Civil Liberties July 2026

Slogans Are Not Sedition: The Bombay High Court's Resounding Defense of Democratic Speech

When the police tried to banish a man for shouting “murdabad” at a political rally, the court drew a bright line between dissent and disorder—and reminded law enforcement whom they truly serve.

In a democracy, the right to voice dissent is not a privilege handed down by the state—it is a constitutional promise. On July 2, 2026, the Bombay High Court reinforced that promise with a judgment that will echo far beyond a single disputed externment order. The court ruled unequivocally that raising slogans such as “BJP murdabad” or “Amit Shah murdabad” cannot form the legal basis for banishing a citizen from their own locality. The ruling came as the court quashed an order that had expelled Saeed Ahmad Abdul Wahid Chaudhary, the Maharashtra State general secretary of the Socialist Democratic Party of India (SDPI), from the Nanded district. The message from Justice Madhav Jamdar was unambiguous: police officers are authorities answerable to the public, not functionaries of the ministers, and the peaceful expression of political discontent is squarely within the bounds of protected speech.

To understand the significance of this verdict, one must first understand the legal instrument that was struck down. An externment order is a preventive measure that allows the state to require an individual to leave a district or a specified area, usually for a period of six months to two years. It is a powerful tool derived from sections of the Maharashtra Police Act and similar statutes across India. The rationale is to preemptively remove a person whose presence is deemed likely to cause a breach of public order or incite violence. Yet, over the decades, civil rights lawyers and judicial authorities have repeatedly cautioned that externment is a drastic measure, easily abused if it becomes a shortcut to silence inconvenient voices.

Key Observation “Police officers are authorities answerable to the public and not functionaries of the ministers.” — Justice Madhav Jamdar, Bombay High Court

The case of Saeed Ahmad Abdul Wahid Chaudhary illustrates precisely that tension. Chaudhary, a political activist and office-bearer of the SDPI, a registered political party, found himself facing a show-cause notice from the local police. The notice proposed to extern him from Nanded district, alleging that his actions were prejudicial to communal harmony and public order. Central to the police’s case were slogans he had allegedly raised during protests: “BJP murdabad” (down with BJP) and “Amit Shah murdabad” (down with Amit Shah). The authorities argued that these inflammatory chants disrupted the peace and validated his removal from the area. An externment order was consequently passed, uprooting Chaudhary from his home turf.

Chaudhary challenged the order before the Aurangabad bench of the Bombay High Court. During the hearing, the court examined the slender evidence on which the externment rested. The police had produced no credible material to show that the slogans themselves had triggered violence, rioting, or a breakdown of public order. There were no witness statements establishing that ordinary citizens felt intimidated to the point of public unrest. Instead, the slogans were political in nature, expressing opposition to a party and a prominent leader. Justice Jamdar, who presided over the matter, subjected the externment order to rigorous scrutiny, ultimately concluding that it could not stand.

§

The oral observations recorded during the hearing are as important as the final written order. Justice Jamdar remarked that police officers are “authorities answerable to the public and not functionaries of the ministers.” This single sentence cuts to the heart of the case. The police force derives its legitimacy from the law and the people it serves, not from the political executive of the day. When officers treat criticism of the ruling party as a law-and-order problem necessitating expulsion, they blur the line between maintaining peace and enforcing political conformity. The court stressed that the police must tolerate robust and even caustic criticism of the government, because that is an essential feature of a vibrant democracy.

The court’s reasoning aligns with a long line of Supreme Court rulings that have read Article 19(1)(a) expansively. In cases like Ram Manohar Lohia vs. State of Bihar, the Supreme Court held that mere criticism of the government does not disturb public order unless there is a direct causal link. Similarly, in S. Rangarajan vs. P. Jagjivan Ram, the court observed that freedom of expression cannot be suppressed on the mere apprehension of a breach of peace. The Bombay High Court drew from this jurisprudence to conclude that branding political slogans as grounds for externment would set a dangerous precedent. If the state could banish every citizen who shouted “murdabad” against the party in power, the ballot box would be replaced by the police picket.

There is another dimension to this case that deserves attention. The SDPI is a small but politically active party, often at the receiving end of intense surveillance and police action. Whatever one thinks of its ideology, its members possess the same fundamental rights as members of any other political formation. Externment orders have historically been deployed disproportionately against marginalized groups, minority activists, and opposition figures in tightly controlled districts. By quashing this order, the High Court has signaled that the externment machinery cannot be weaponized to eliminate dissent from the electoral arena. It has reminded the executive that administrative convenience does not trump constitutional rights.

§

The judgment also sheds light on the role of police accountability. When Justice Jamdar observed that police officers are not functionaries of the ministers, he was drawing a vital institutional line. In a parliamentary democracy, the police force operates under the political executive’s broad supervision, but its day-to-day law enforcement decisions must remain impartial and anchored in law. An externment order should be based on objective evidence of a propensity to commit violent acts, not on the subjective irritation of local officials at an activist’s political stance. The court’s remark serves as a warning that any officer who acts as a political enforcer rather than a neutral guardian of peace betrays the trust placed in the uniform.

For the common citizen, this ruling is a practical safeguard. It means that attending a protest, holding a placard, or raising a slogan against the Prime Minister, Chief Minister, Union Home Minister, or any other political figure does not, by itself, invite the sword of exile from one’s home district. States will now have to produce far more than a transcript of “murdabad” slogans to convince a judicial body to uphold an externment order. They will need to demonstrate a genuine, imminent threat to public order, supported by credible evidence. The burden of proof lies heavily on the state, and the court has made it clear that it will not rubber-stamp executive action that tramples fundamental freedoms.

The implications ripple beyond Maharashtra. Externment laws exist in various forms across India—Goonda Acts in states like Kerala and Karnataka, for instance—and they are often criticized for being used to hound political opponents and individuals perceived as “nuisances” by the police. The Bombay High Court’s 2026 order will undoubtedly be cited in high courts and the Supreme Court whenever an externment is challenged on the ground that it penalizes political speech. It fortifies the jurisprudence holding that preventive detention and quasi-punitive measures like externment must pass the strictest constitutional muster, and that the mere expression of hate or dislike for a political party does not meet that threshold.

What happens next? Chaudhary can now return to Nanded and resume his political activities without the shadow of externment hanging over him. For the police department, this judgment is an occasion for introspection and training. Senior officers would do well to circulate the ruling among station house officers and deputy commissioners, emphasizing that orders based on thin evidence of political sloganeering will not survive judicial scrutiny. Legal scholars and civil society organizations will likely study the judgment closely, using it to mount further challenges against defective externment orders across the country.

Yet, the final word belongs to the educated citizen. In an era of sharp political polarization, the temptation to criminalize the other side’s slogans is strong. The Bombay High Court has reminded us that the way to answer speech with which one disagrees is with more speech, not with the forced removal of the speaker. The right to protest, to peacefully assemble, and to raise one’s voice—even in anger—against the government is not a loophole in the law. It is the very engine of democratic renewal.

Justice Jamdar’s courtroom observation that police officers are answerable to the public, not to ministers, deserves to be framed and hung in every police station. It captures the spirit of a republic where authority flows upward from the people, where the citizen need not tremble at the thought of shouting “murdabad” at a rally, and where liberty is not a concession granted by the state but a right that the courts will fiercely protect.

Free Speech Bombay High Court Article 19 Externment Law Police Accountability Constitutional Rights Dissent

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