Industry Risk Profiles

Drone Logistics Operator Risk Profile in India 2026: BVLOS Operations, DGCA Compliance and Insurance Programme Design

B2B middle-mile drone cargo operators flying BVLOS corridors carry a distinct risk profile from consumer delivery players. We cover corridor exposures, cold-chain and diagnostic-sample payload liability, bailee and contract-of-carriage cover against the customer's marine policy, named-operator underwriting, and scheduled-corridor programme design.

Sarvada Editorial TeamInsurance Intelligence
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Last reviewed: June 2026

What This Post Owns: B2B Middle-Mile Cargo Logistics, Not Consumer Delivery

The Indian drone sector now spans several commercially distinct operating models, and an insurance programme that treats them as one risk class will misprice almost every account. This post is scoped tightly to one lane: the B2B middle-mile and inter-facility cargo logistics operator. That means warehouse-to-warehouse, hub-to-spoke, and hospital-to-diagnostic-network corridors flown Beyond Visual Line of Sight (BVLOS), carrying someone else's goods (pharmaceutical cold-chain consignments, diagnostic samples, e-commerce parcels in the trunk leg, and industrial spare parts) on scheduled or semi-scheduled routes. The defining feature of this operator is that it is a carrier of goods, not a retailer making the last drop to a consumer's doorstep.

That distinction drives the whole risk conversation. The middle-mile cargo operator's dominant exposure is not bystander bodily injury on a crowded urban street; it is the value, condition and contractual responsibility for the cargo it carries between two business facilities, plus the third-party exposure along a repeated, surveyed, lower-density corridor. The consumer last-mile and quick-commerce delivery operator, by contrast, lives or dies on dense-airspace third-party liability and the aviation-liability mechanics of operating over inhabited residential areas. Those are different underwriting animals. For the consumer last-mile, quick-commerce and food-delivery aviation-liability profile, see drone delivery startup aviation liability in India, which owns that lane in full.

This post also deliberately does not re-derive the basic regulatory plumbing. The Drone Rules 2021 mechanics, Unique Identification Number (UIN) and Digital Sky registration, Type Certification, Remote Pilot Certificate (RPC) requirements, and the foundational hull-and-third-party-liability template that every drone operator needs are covered in depth in drone operator insurance: DGCA compliance and UIN permits. We assume that baseline here and build on top of it for the cargo-carriage layer.

The Middle-Mile Corridor Exposure Stack

A B2B cargo logistics operator running scheduled BVLOS corridors in 2026 carries a four-layer exposure stack, but the weighting is materially different from a consumer delivery operator. The four layers are hull, third-party liability along the corridor, payload cargo (goods-in-transit), and contract-of-carriage / bailee liability. For the middle-mile operator the payload and bailee layers are usually the commercial centre of gravity, not the third-party layer.

Hull values for the cargo logistics fleet run higher than the consumer-delivery norm because middle-mile operators fly larger, longer-range fixed-wing or hybrid VTOL airframes capable of 25 to 120 km corridor legs with meaningful payload. Hull per airframe runs from INR 12 lakh for a sub-25 kg cargo platform to INR 1.2 to 2.5 crore for the larger Medium-category corridor aircraft. A fleet of 30 to 80 corridor airframes carries an aggregate hull exposure of INR 6 to 25 crore.

Third-party liability still matters, but the scheduled-corridor model changes its character. The corridor is surveyed, the ground-risk population is mapped at approval, and the route is repeated daily, so the operator and underwriter have a far better-characterised third-party exposure than a consumer operator improvising routes over residential clusters. Per-occurrence third-party limits for middle-mile operators typically run INR 5 to 20 crore, often driven more by the airframe weight category and the single river-crossing or highway-overflight pinch point on the corridor than by blanket urban density.

Where the money actually sits

For the middle-mile cargo operator, the payload and bailee layers are where the large-loss potential concentrates. A single BVLOS corridor leg may carry a temperature-controlled pharmaceutical consignment worth INR 5 to 25 lakh, a batch of diagnostic samples whose re-collection cost and clinical consequence far exceed their physical value, or a high-value industrial spare worth several lakh whose loss halts a customer's production line. The hull loss on a crashed airframe (INR 12 to 25 lakh on the smaller platforms) is frequently the smaller part of the total claim. Programme design that over-indexes on hull and under-scopes payload and bailee cover is the most common structural error in this lane.

Payload Cargo and Goods-in-Transit: The Carrier's Core Exposure

Payload cargo cover responds to physical loss of or damage to the goods the airframe carries between facilities. For the middle-mile operator this is conventional goods-in-transit cover adapted to an aerial conveyance, and the structural choice between a declaration policy and a contract-specific cover matters for claims response.

A declaration (open cover) structure suits operators with a variable cargo mix across many customers: values are declared through the flight management system and synced to the broker, premium is charged on declared values, and cover responds per flight subject to per-flight and aggregate limits. A contract-specific cover suits a high-value recurring corridor (a daily pharmaceutical run for a single customer), with a fixed annual premium, a higher per-flight limit and exclusion wording tuned to that customer's goods. Most scaled middle-mile operators end up running a blended programme: contract-specific covers for the two or three highest-value recurring corridors, plus a declaration cover for the long tail.

Cold chain and temperature excursion

The pharmaceutical and diagnostic corridors that anchor most Indian middle-mile drone economics carry an exposure that ordinary cargo wordings handle poorly: temperature excursion. A vaccine or biologic consignment can arrive with intact packaging but with a temperature log showing it fell outside the manufacturer's storage specification mid-flight. The consignee's cold-chain custodian will reject it. The economic loss equals a physical total loss, but a standard cargo wording predicated on fortuitous physical damage may not respond.

The major Indian insurers (ICICI Lombard, TATA AIG, HDFC Ergo) have introduced temperature-excursion endorsements for drone payload cargo, typically with a sub-limit of 50 to 80 per cent of the cargo sum insured, a deductible of INR 25,000 to 1 lakh per occurrence, and strict evidence conditions. The endorsement generally requires a continuous in-flight temperature log from an independently calibrated logger meeting a recognised data-logger calibration standard (for example EN 12830 or an equivalent international standard, with NABL-traceable calibration), retention of the log for a defined minimum period, and immediate disclosure of any excursion to the consignee on landing. Operators relying on the airframe's onboard sensor rather than an independent logger physically attached to the payload container often cannot satisfy these conditions; loggers from SenseAnywhere, Berlinger or ELPRO attached to the container create a clean evidence record for both the consignee-acceptance dispute and the claim.

Diagnostic samples and the consequential-loss trap

Diagnostic sample corridors (hospital-to-lab, collection-centre-to-hub) carry a payload whose physical value is trivial but whose loss can trigger disproportionate consequence: a lost batch of time-critical samples may require patient re-collection, delay diagnosis, or breach a clinical turnaround commitment. Standard payload cargo cover responds to the physical value of the goods, not to the re-collection cost or the customer's consequential loss. Brokers should clarify with the operator and customer whether re-collection cost or consequential loss is to be covered (it usually requires a specific endorsement and a defined sub-limit) and ensure the customer contract does not silently push an uninsured consequential-loss obligation onto the operator.

Permitted-payload boundary

The Drone Rules 2021 prohibit carriage of dangerous goods as defined under the IATA Dangerous Goods Regulations, with narrow exceptions for approved medical payloads. Liquid biologics, blood samples and vaccine consignments generally sit within permitted scope where packaging meets IATA biological-substance Category B (UN3373) instructions. Brokers must verify the operator's payload categories are explicitly within the DGCA permission for the specific airframe and corridor before binding payload cover; an insurer that later learns the carried payload was outside permission can decline on disclosure grounds.

Contract of Carriage and Bailee Liability: Carrying Someone Else's Goods

The feature that most cleanly separates the middle-mile cargo operator from every other drone profile is that it takes custody of goods it does not own and moves them under a contract of carriage. That makes it a bailee, and bailee liability is a distinct exposure from both the operator's own first-party payload cargo cover and from its third-party public liability.

Under Indian law a carrier in custody of goods owes a duty of care to the owner. If the operator's negligence, airframe failure or operational error causes loss or damage to the cargo, the owner has a direct claim against the operator in bailment and under the contract of carriage, irrespective of whether the owner carried its own insurance. Bailee liability cover responds to the operator's legal liability to the cargo owner for that loss. It is conceptually different from a goods-in-transit policy that simply pays the value of the goods on a no-fault declared basis; bailee cover is liability cover triggered by the operator's legal responsibility.

How it interacts with the customer's own marine or transit cover

Many corporate customers (pharmaceutical majors, diagnostic chains, e-commerce platforms) already carry their own marine cargo or inland-transit open cover that may extend to the drone leg of the journey. This creates a coordination question that brokers must resolve explicitly at placement. The typical pattern is that the customer's marine cover pays the owner's loss first, and the customer's cargo insurer then exercises subrogation against the operator as the carrier at fault. The loss does not disappear; it lands on the operator's bailee liability and third-party / payload programme via that subrogation route.

The practical implications are threefold. First, an operator that assumes the customer's marine cover removes its own exposure is wrong: subrogation brings the loss back. Second, the operator's programme should carry bailee liability cover (or contractual liability extending to assumed carriage obligations) sized to the realistic value of goods in custody on any single leg, not merely first-party payload cover. Third, the contract of carriage should set or limit the operator's liability deliberately: a carrier can contractually cap its liability per consignment, and that cap (if commercially accepted by the customer) directly governs the bailee exposure the operator's policy must back. Brokers should align the contractual liability cap, the bailee cover limit and any subrogation-waiver the customer demands so they form a coherent stack.

The Drone-as-a-Service model raises a related but distinct customer-indemnity architecture (the operator indemnifying the customer for service-level and data exposures rather than carriage of goods); that stack is owned by drone-as-a-service startup insurance and should not be conflated with carriage-of-goods bailee liability.

Named-Operator Underwriting: Skye Air, TechEagle and IG Drones Type Profiles

The 2026 market underwrites cargo logistics operators by name and profile, not by blanket aviation rate. Two operators of identical fleet size can attract rates 50 per cent apart based on safety management system (SMS) maturity, corridor risk distribution, cold-chain handling discipline and claims history. Brokers should expect detailed operator-profile questions and should recognise that the answers move the price more than the headline limits do.

The scaled middle-mile profiles in the Indian market cluster into recognisable archetypes. Skye Air type operators run dense healthcare and e-commerce middle-mile corridor networks with high flight frequency, mature corridor approvals and a track record that supports better hull and liability pricing. TechEagle type operators concentrate on long-range fixed-wing healthcare and pharmaceutical corridors (hospital and diagnostic-network logistics) where the underwriting question is dominated by cold-chain handling discipline and corridor terrain rather than urban density. IG Drones type operators run a mixed book where logistics is one line among surveying and inspection work, which means the underwriter must separate the cargo-carriage exposure from the data-services exposure to price each cleanly.

What differentiates the pricing

For the cargo logistics operator specifically, the underwriting differentiators that move price are: (1) corridor ground-risk profile, meaning the population and asset density under the surveyed route and the number of highway, rail or river crossings; (2) cold-chain handling maturity, including independent logger use, calibration discipline and excursion-disclosure protocol, which directly governs the temperature-excursion endorsement terms; (3) payload value concentration, meaning how much insured value rides on a single leg and how aggregation builds across a daily schedule; (4) SMS maturity, distinguishing an operationally embedded safety discipline from a documentary one; and (5) claims history, weighted by the operator's documented root-cause and corrective-action response to past incidents.

Indicative 2026 rating anchors for middle-mile cargo operators: hull rate of 4 to 9 per cent of sum insured per annum for sub-25 kg cargo platforms and 6 to 14 per cent for Medium-category corridor aircraft; third-party liability of INR 75,000 to 2.5 lakh per crore of limit for sub-25 kg and INR 1.5 to 5 lakh per crore for Medium category, with corridor pinch points the main driver; payload cargo of 0.5 to 2.5 per cent of per-flight declared value, with cold-chain pharmaceutical and diagnostic corridors at the upper end and routine e-commerce trunk-leg cargo at the lower end. These are anchors for conversation, not quotes.

The submission that wins better terms

A cargo logistics submission that earns the lower end of these bands includes the airframe schedule (UIN, type certificate, hours, maintenance and NPNT firmware status), the corridor schedule with Digital Sky approval references and ground-risk classification per corridor, the customer contract schedule showing payload type, value range and contractual liability assumed per corridor, the cold-chain handling protocol with logger specifications and calibration records, the SMS documentation reflecting operational reality, and a three-to-five-year loss record with documented incident responses. The basic DGCA-compliance evidence and UIN documentation that underpins all of this is detailed in drone operator insurance: DGCA compliance and UIN permits.

Programme Design for a Scheduled-Corridor Logistics Operator

Designing the insurance programme for a middle-mile cargo operator running scheduled corridors follows a corridor-led structure rather than a fleet-blended one. The objective is to match cover to the genuine risk variation across the route network while keeping the programme administratively manageable for a high-frequency operation.

Step one: build the corridor register

Start 90 days before renewal with a corridor register that captures, per scheduled corridor: the route and its ground-risk classification, the airframe type assigned, the Digital Sky BVLOS approval reference and its expiry, the customer contract and the goods carried, the per-leg and daily peak payload value, the cold-chain requirement if any, and the contractual liability the operator has accepted. This register is the foundation for both the submission and the sub-limit design.

Step two: design the sub-limit and aggregation structure

A flat per-occurrence limit applied across corridors of genuinely different risk is inefficient. Allocate higher third-party and payload sub-limits to the high-value or higher-ground-risk corridors and lower sub-limits to the routine trunk-leg corridors, with premium calibrated accordingly. Several 2025-26 placements have run this structure successfully with ICICI Lombard and TATA AIG. Aggregation provisions matter for a scheduled operator: a single weather front or a common command-and-control failure can affect multiple airframes on the same corridor in one event, and the cargo aggregation across a daily schedule can exceed any single per-leg limit. Negotiate a common-cause aggregation clause that treats multiple airframes affected by one event as a single occurrence, and ensure the aggregate payload limit reflects realistic daily peak value-in-transit, not just per-leg value.

Step three: coordinate the carriage and cargo layers

Resolve the interaction between first-party payload cargo cover, bailee liability cover, the customer's own marine cover and the contract-of-carriage liability cap before binding. The cleanest structure for most middle-mile operators is: contract-specific payload cargo cover with the customer named as loss payee on the high-value recurring corridors, a declaration cover for the long tail, bailee liability cover sized to peak value-in-custody backing the carriage obligations, and a contractual liability cap in the carriage contract aligned to those limits. Where the customer demands a subrogation waiver, price it and ensure the operator's insurer accepts it.

Step four: cold-chain and documentation discipline

For any pharmaceutical or diagnostic corridor, the temperature-excursion endorsement terms hinge on logger discipline. Mandate independent calibrated loggers, set the calibration and retention protocol, and build the excursion-disclosure step into the consignee-handover process. The 2026 wordings reward operators whose flight management system auto-generates the pre-flight, in-flight and post-incident documentation set; manual documentation is a claims-response liability.

Step five: panel and capacity

Engage at least one large private insurer (ICICI Lombard, TATA AIG, HDFC Ergo or Bajaj Allianz), one public-sector or mid-market insurer (New India Assurance, Oriental Insurance, Cholamandalam MS), and for Medium-category corridor fleets engage foreign reinsurance capacity (Munich Re, Swiss Re, Hannover Re, SCOR, or Lloyd's syndicates) in parallel where third-party limits exceed INR 25 crore or payload values strain domestic capacity. GIC Re maintains a domestic treaty for sub-25 kg category and selectively cedes the Medium category.

Claims Response on a Cargo Corridor Incident

Claims outcomes on the middle-mile cargo operator's programme are decided in the first 24 hours and by the quality of the documentation trail. Because the dominant losses are payload and bailee losses rather than simple hull losses, the claims process is more contested and more document-dependent than for a consumer delivery operator whose typical claim is a single bystander-property incident.

The layered documentation set the 2026 wordings expect comprises three phases. Pre-flight: the Digital Sky permission artefact, the airframe pre-flight inspection record, pilot currency, the payload condition record (photographs, packing certificate, weight, and the temperature-logger calibration certificate where cold-chain applies), and the corridor weather assessment. In-flight: airframe telemetry (location, altitude, speed, control inputs, and continuous temperature where applicable) and command-and-control link logs. Post-incident: scene photographs, recovered-airframe condition, the consignee acceptance-or-rejection record for the payload, the DGCA accident notification where the threshold is met, and the operator's internal root-cause review.

The contested cold-chain claim

The characteristic contested claim in this lane is the temperature-excursion rejection. The consignee refuses an intact-looking consignment because the temperature log breached specification. The insurer will test whether the excursion-endorsement conditions were met: was the logger independent and calibrated, was the log continuous, was retention compliant, was the consignee notified on landing. Operators that cut corners on logger discipline lose these claims at the condition stage regardless of the wording's headline scope. The broker's role is to ensure the operator's standard operating procedure already satisfies the endorsement conditions before the loss, not to argue them after.

Salvage and the bailee subrogation interaction

Salvage rights typically vest in the insurer on payment of a total loss, but recovery of an airframe that crashed in remote or hill terrain on a long corridor leg is often commercially impractical; clarify the salvage cost allocation in advance. On the bailee side, where the customer's marine cover has paid the owner first, the operator should expect a subrogation claim from the customer's cargo insurer; the operator's broker should manage that subrogation against the operator's bailee and payload programme rather than letting it land uninsured. A relationship with an aviation loss adjuster that has developed drone capability (McLarens India, Crawford India, Charles Taylor) shortens the cycle on the larger payload and bailee claims.

Forward View: Scheduled BVLOS Cargo Through FY2026-27

The middle-mile cargo segment is the part of the Indian drone market most likely to move from emerging to established through FY2026-27, because its unit economics (replacing road middle-mile legs that are slow over difficult terrain or for time-critical medical cargo) are clearer than consumer last-mile economics. That trajectory has specific insurance implications brokers should track.

The DGCA has signalled a possible shift from corridor-level BVLOS authorisations to operator-level authorisations for established players with demonstrated safety records. For the scheduled-corridor cargo operator this is significant: it would move the warranty base in policies from per-corridor compliance toward operator competency, simplifying programme administration for multi-corridor fleets but raising the stakes on SMS maturity as the underwriting fulcrum. Brokers should engage underwriters early on how warranty drafting would migrate.

The cold-chain and consequential-loss frontier is where wording will evolve fastest in this lane. As pharmaceutical and diagnostic corridors scale, expect insurers to refine temperature-excursion endorsements, consequential-loss and re-collection-cost extensions for diagnostic corridors, and the interaction between the operator's payload programme and customers' marine open covers. Bailee liability wording, currently adapted from general carrier wordings, is likely to be tailored to aerial carriage as claims experience accumulates.

Capacity for the larger scheduled-corridor fleets (above 200 airframes or with concentrated high-value pharmaceutical corridors) will continue to require foreign reinsurance engagement, and the cyber-physical exposure on cellular-connected BVLOS command and control remains an actively evolving wording question across the market. Operators should evaluate whether to coordinate the drone payload and liability programme with a separate cyber programme covering the command-and-control infrastructure, drafted to avoid both gap and double recovery.

Platforms that support corridor-level programme administration (certificate management across multiple customers, claims notification integrated to the flight management system, and corridor-by-corridor programme reporting) are becoming necessary as scheduled operators scale beyond a handful of routes. Sarvada supports brokers delivering integrated, corridor-level programme analysis for drone logistics operators and other multi-line commercial buyers. Request Access to evaluate the platform for the specialty cargo-carriage and broker workflow requirements this segment demands. For the broader emerging-risk underwriting context that places drone cargo alongside other novel exposures, see the related coverage on underwriting emerging risks: drones, EVs and lithium-ion battery storage.

Frequently Asked Questions

How is a B2B middle-mile cargo drone operator's risk profile different from a consumer last-mile delivery operator's?
The two are different underwriting classes. The middle-mile cargo operator flies scheduled BVLOS corridors between business facilities (warehouse-to-warehouse, hub-to-spoke, hospital-to-diagnostic-network) carrying someone else's goods: pharmaceutical cold-chain consignments, diagnostic samples, e-commerce trunk-leg parcels and industrial spares. Its dominant exposure is the value, condition and contractual responsibility for that cargo, plus a well-characterised third-party exposure along a surveyed, repeated, lower-density route. The consumer last-mile or quick-commerce delivery operator, by contrast, makes the final drop over inhabited residential areas, so its risk is dominated by dense-airspace third-party liability and aviation-liability mechanics over crowded ground. Payload and bailee cover are the centre of gravity for the cargo operator; third-party liability is the centre of gravity for the consumer operator. The consumer delivery profile is covered separately in the drone delivery startup aviation liability post; this post is scoped to the cargo carrier.
If our customer already carries marine cargo insurance that covers the drone leg, does the operator still need its own payload and bailee cover?
Yes. Relying on the customer's marine cover is one of the most common and most expensive mistakes in this lane. The customer's marine or inland-transit cover typically pays the cargo owner's loss first, but the cargo insurer then exercises subrogation against the operator as the carrier at fault. The loss does not disappear; it comes back to the operator through that subrogation route and lands on the operator's bailee liability and payload programme. Because the operator takes custody of goods it does not own under a contract of carriage, it is a bailee with a direct legal duty to the cargo owner irrespective of the owner's own insurance. The operator therefore needs bailee liability cover sized to the realistic peak value of goods in custody on a single leg, ideally with a contract-of-carriage liability cap that is commercially agreed with the customer and aligned to the policy limits. Where the customer demands a subrogation waiver, that must be priced and accepted by the operator's insurer. Coordinate any first-party payload cargo cover with the bailee cover so the wordings make clear which responds first and avoid double recovery.
What does a temperature-excursion endorsement for a pharmaceutical or diagnostic corridor require, and why do operators lose these claims?
Temperature-excursion endorsements offered by ICICI Lombard, TATA AIG and HDFC Ergo for drone payload cargo respond to economic loss where a cold-chain consignment falls outside the manufacturer's storage specification in flight and the consignee rejects it even though the packaging is physically intact. The endorsement typically carries a sub-limit of 50 to 80 per cent of the cargo sum insured, a deductible of INR 25,000 to 1 lakh per occurrence, and strict conditions: a continuous in-flight temperature log from an independently calibrated logger meeting a recognised data-logger calibration standard (for example EN 12830 or an equivalent international standard, with NABL-traceable calibration), retention of the log for a defined minimum period, and immediate disclosure of any excursion to the consignee on landing. Operators lose these claims at the condition stage, not on the headline scope. The most common failure is relying on the airframe's onboard sensor instead of an independent logger (SenseAnywhere, Berlinger, ELPRO) physically attached to the payload container, which breaks the calibration and evidence chain the endorsement requires. The fix is operational: build independent-logger discipline, calibration records and the excursion-disclosure step into the standard operating procedure before any loss occurs.
How should a scheduled-corridor cargo operator structure sub-limits and aggregation rather than buying a flat fleet limit?
Treat the corridor, not the fleet, as the unit of underwriting. Build a corridor register capturing per corridor the ground-risk classification, the airframe assigned, the Digital Sky BVLOS approval, the goods carried, the per-leg and daily peak payload value, and the cold-chain requirement. Then allocate higher third-party and payload sub-limits to the high-value or higher-ground-risk corridors and lower sub-limits to routine trunk-leg corridors, with premium calibrated to each, a structure run successfully with ICICI Lombard and TATA AIG in 2025-26. Aggregation matters for a scheduled operator because a single weather front or a common command-and-control failure can affect multiple airframes on one corridor in a single event, and cargo value aggregates across a daily schedule beyond any single per-leg limit. Negotiate a common-cause aggregation clause that treats multiple airframes affected by one event as a single occurrence, and size the aggregate payload limit to realistic daily peak value-in-transit rather than just per-leg value. A flat per-occurrence and aggregate limit applied across genuinely different corridors systematically misprices the portfolio.
Where do diagnostic-sample corridors leave a coverage gap, and how should brokers close it?
Diagnostic-sample corridors (collection-centre-to-hub, hospital-to-lab) carry a payload whose physical value is trivial but whose loss can trigger disproportionate consequence: a lost batch of time-critical samples may force patient re-collection, delay diagnosis, or breach a clinical turnaround commitment with the customer. Standard payload cargo cover responds to the physical value of the goods, not to re-collection cost or the customer's consequential loss, so an operator whose carriage contract imposes a re-collection or consequential-loss obligation has an uninsured gap between what the payload policy pays and what the contract obliges it to pay. Brokers should map the customer contract's indemnity and consequential-loss wording against the policy response line by line, and where the operator has accepted such obligations either negotiate a specific re-collection-cost or consequential-loss extension with a defined sub-limit, or renegotiate the contract to cap the operator's exposure to the physical value of the samples. Leaving the contract indemnity broader than the policy is the gap that surprises operators after a loss.

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