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Epistemic Asymmetry and the Limits of Appellate Review in Competition Enforcement

I. Abstract

Digital platform markets challenge conventional modes of competition enforcement by amplifying feedback effects, cumulative advantage, and temporal irreversibility. In such settings, regulatory outcomes are shaped by deeper institutional ways of seeing how harm unfolds over time in addition to the routine legal and economic processes. Following up on the first part of this blog, this second part examines epistemic asymmetry within India’s competition regime through the WhatsApp–Meta litigation, focusing on the divergent regulatory episteme of the Competition Commission of India and the National Company Law Appellate Tribunal. While both institutions addressed the same conduct through the same statutory lens, they operated with distinct temporal and harm-oriented orientations, leading to sharply different assessments of remedy design, particularly the Commission’s now-set-aside five-year data-sharing prohibition. The analysis argues that this divergence reflects not mere doctrinal disagreement but a structural asymmetry in institutional capacity to reason about dynamic, feedback-driven markets. In digital contexts where early regulatory choices can have irreversible long-run effects, such asymmetry risks under-correction, strategic arbitrage, and weakened deterrence. The blog concludes that effective digital competition enforcement requires epistemic coherence across institutions without sacrificing adjudicatory independence, treating alignment in how future harm is conceptualised as a core component of regulatory capacity. 

II. Introduction

India’s competition regime is increasingly being tested by the realities of digital markets. As platforms intermediate communication, commerce, and attention at scale, regulatory institutions are forced to confront forms of power that do not map neatly onto traditional categories of market definition, price effects, or firm conduct. In this setting, disagreements between institutions are inevitable. What is more revealing, however, is when such disagreements point not merely to doctrinal divergence, but to epistemic asymmetry. Building on the idea of regulatory episteme discussed in the previous part of this blog, this part examines how epistemic asymmetry manifests within India’s competition enforcement.

The first part of this blog described epistemic fragmentation as a condition in which different institutions operate with distinct cognitive grammars, leading them to interpret the same reality in incompatible ways. Digital markets sharpen this problem further. Here, institutions are not only fragmented but asymmetrically positioned in their ability to perceive dynamic processes such as feedback loops, cumulative advantage, and irreversibility.

Epistemic asymmetry in Indian competition regime arises with the Competition Commission of India (CCI) structurally oriented towards reasoning about evolving trajectories and nuanced market realities, while the National Company Law Appellate Tribunal (NCLAT) taking a more bounded approach in the appellate stage. While the blog recognises that both modes of reasoning are legitimate and often necessary, it argues that difficulty emerges when they interact within the same enforcement ecosystem without a shared framework for translating insights and analyses between them. To illustrate this point, the blog uses the WhatsApp Privacy Policy case as a window into this asymmetry, despite the many concurrent findings in both stages of this case

The WhatsApp Case as a Window to the Asymmetry

In 2021, the Competition Commission of India took suo motu cognisance of the WhatsApp updated privacy policy as potentially being abusive of Meta’s dominance in the relevant market, and ordered the Director General (DG) to conduct an investigation. After the DG submitted the investigation report, the CCI passed an order on 18 November 2024 which examined the policy and its implications for competition in digital markets. The Commission concluded that WhatsApp, as a dominant player in over-the-top messaging services, had engaged in conduct that allowed user data to be shared across the Meta ecosystem in ways that could distort competition, particularly in online advertising. It treated privacy degradation as a form of non-price harm and imposed a set of remedies, including a five-year prohibition on data sharing for advertising purposes.

On appeal, the NCLAT upheld most of the Commission’s findings, and altered some. Substantively, NCLAT agreed with almost all of the Commission’s findings, including its jurisdiction on competition issues arising in the domain of personal data, privacy as a non-price competition parameter, and Meta’s violation of section 4(2)(a)(i) through imposition of unfair conditions. However, it disagreed/diverged with CCI on certain key issues which reflects the epistemic asymmetry we discussed in the previous blog. Most notably, it set aside the five-year data sharing ban imposed on WhatsApp by CCI, holding that once granular consent mechanisms were introduced, a blanket prohibition was unnecessary and disproportionate.

At first glance, this appears to be a conventional appellate disagreement over statutory interpretation and remedy design. On closer examination, however, it provides us with a window into how differently the two institutions imagined harm unfolding over time.

Two ways of looking at the market

For the Commission, competitive harm in the WhatsApp case was not confined to immediate effects. It was conceptualised as a self-reinforcing process. User data was treated as a compounding asset, one whose value increased through accumulation, cross-platform integration, and algorithmic learning. In such a setting, consent could not be viewed as a fully autonomous corrective, because network effects and switching costs constrained users’ practical ability to refuse. Privacy degradation, in this view, operated as a quality-based exclusionary mechanism that raised rivals’ costs and entrenched dominance over time. This orientation led the Commission to frame remedies as instruments for interrupting feedback loops.

Implicit in the Commission’s approach was a view of time as a regulatory instrument. The prohibition functioned as a temporary buffer, intended to dampen cumulative advantages while market conditions remained malleable. Its duration reflected uncertainty rather than certainty. In feedback-driven markets, regulators rarely know in advance how quickly tipping points will be reached. Time-bound interventions serve to slow acceleration, buying space for competitive forces to operate. The objective was not to punish past conduct but to slow down processes that could otherwise harden into structural advantage before competitive alternatives had a chance to emerge.

The Tribunal approached the same market through a different lens, evaluating the ban through a static proportionality framework. In its reasoning, a time-limited prohibition required a precise and contemporaneous justification. Once formal consent was restored, the continued restraint appeared excessive. The future was assumed to be adequately governed by present-day compliance mechanisms. Its reasoning emphasised legal separateness of entities, the necessity of demonstrating dominance within clearly defined markets, and the proportionality of remedies in relation to established violations. Harm was treated as something that had to be demonstrated with reference to present market conditions and existing legal thresholds. Once consent mechanisms were mandated, the Tribunal considered the core concern addressed. From this standpoint, continuing restraints lacked sufficient justification.

What the Commission treated as a necessary pause against irreversible tipping, the Tribunal treated as an unjustified continuation of control after the legal defect had been cured. Neither CCI nor the NCLAT was acting irrationally. Each was reasoning coherently within its own epistemic orientation. The asymmetry lay in how each understood the relationship between present conduct and future market structure.

Why the Asymmetry Might Prove Costly in Digital Markets

In traditional markets, such asymmetries may be manageable. Many competitive harms are reversible, and errors can be corrected over time. Digital markets, however, operate under different dynamics. As we discussed in the previous blog, strong positive feedback loops mean that small early advantages in data, user base, or algorithmic performance can compound rapidly. Once markets tip, entry barriers rise sharply, and restoring competition becomes extraordinarily difficult.

Economic theories of increasing returns and network effects show that these markets often exhibit multiple equilibria, only some of which are competitive. Regulatory interventions therefore have temporal significance. Their effectiveness depends not only on correctness at the moment of issuance but on their capacity to influence trajectories.

In such contexts, epistemic asymmetry has structural consequences. Institutions oriented toward static assessment will tend to under-correct, intervening only once harms are fully visible and often irreversible. Institutions oriented toward dynamic assessment will tend to appear over-interventionist when judged through static criteria. The resulting tension is not simply institutional disagreement, but rather a mismatch in how regulatory risk is perceived.

Institutional Capacity as Epistemic Alignment

These dynamics point to a broader question of institutional capacity. In digital markets, capacity is not exhausted by statutory mandate, expertise, or procedural fairness alone. It increasingly depends on the ability of institutions within a regulatory ecosystem to operate with compatible understandings of how harm accumulates and how markets evolve.

It, however, must be clarified at this stage that this does not require uniformity of function or even adjudicatory holdings. Regulators and tribunals have distinct roles, and adjudicatory independence is indispensable. What is required, though, is epistemic alignment at a deeper level: a shared vocabulary for distinguishing static from dynamic harms, an appreciation of when future-oriented inference is warranted, and an agreed framework for translating between economic trajectories and legal proportionality.

Without such alignment, enforcement risks becoming internally incoherent. Firms can exploit gaps between institutions, delay becomes a strategic resource, and fragmentation itself turns into a competitive advantage.

Coherence Without Collapse

Moving forward, the challenge is to foster epistemic coherence without collapsing institutional autonomy. Several pathways are available. First, appellate standards of review must distinguish between economic inference and legal proportionality. Where findings rest on empirical or model-based economic reasoning, appellate scrutiny should be limited to reasonableness, not substitution. Conversely, where remedies implicate legal rights or procedural fairness, full scrutiny is appropriate. Second, appellate benches need embedded expertise. Permanent economic advisers, data scientists, and behavioural experts can bridge epistemic divides, ensuring that complex feedback effects are neither under- nor overestimated. Third, India should foster cross-institutional learning architectures between CCI, NCLAT, and emerging bodies such as the Data Protection Authority of India (DPAI). Fourth, remedies in feedback-rich markets must be dynamically justified. Instead of arbitrary five-year bans, agencies can model remedy duration through measurable market indicators like interoperability metrics, switching elasticity, or data-access asymmetries and subject them to sunset and review clauses. The goal should not be consensus on outcomes, but rather coherence in how future harm is conceptualised. In markets governed by feedback rather than price alone, the greatest regulatory risk is not overreach. It is epistemic misalignment. In the platform economy, seeing differently is inevitable. Seeing incompatibly is costly.

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