Heligan Strategic Advisory emphasizes the importance of rigor in analyzing political risk by focusing on the audit trails and safeguards behind intelligence assessments.
The need for transparency in these processes is underlined by the recent geopolitical tensions, such as conflicts between the US and Iran, which highlight the consequences of unverified or inadequately examined data.
Challenges in Political Risk Analysis
Adam Irwin, Managing Partner of Heligan Strategic Advisory, remarks on the biases that can affect corporate intelligence. He states, “Corporate intelligence is only as secure as the safeguards that sit behind it, but analysts will always be biased. No board would accept a set of numbers without an audit trail, yet many accept intelligence that shape approvals and decisions with no method visibility.”
Irwin stresses that misidentifying beneficial ownership or misunderstanding political risks can expose firms to regulatory and reputational dangers. The necessity of an auditable thought process can mitigate biases that might skew decisions, particularly in adversarial information environments.
Problems with Confirmational Reporting
Irwin highlights issues like circular reporting, where similar information is presented as independently verified data. He describes situations where identical data, such as a CENTCOM battle damage assessment on Iranian missile assets, is echoed by various sources, giving a false impression of corroboration. Synthetic content, like AI-generated satellite imagery, complicates the intelligence landscape and illustrates the need for meticulous source verification.
Synthetic content, like AI-generated satellite imagery, complicates the intelligence landscape
To counter these challenges, Irwin suggests a structured approach where firms document and address biases by their source category, preventing the assumption that institutional information is neutral.
According to Irwin, “Circular reporting detection will also be important to trace each cited source back to its data origin. If they all terminate in the same place, you don’t have corroboration but amplification.” He advocates for setting confidence levels based on the quality and neutrality of sources rather than the analyst's comfort with the data, acknowledging that source interests should influence confidence in the information.
Navigating the US-Iran Information Landscape
Irwin concludes that while it may be impossible to eliminate bias completely, it is crucial to ensure that bias is challenged at every stage of intelligence processing.
He notes the US-Iran situation as an ongoing test of intelligence validity, where circular reporting, synthetic content, and inflated confidence are prevalent. Building robust, auditable analytical frameworks can set higher industry standards and expectations for intelligence operations.
Boards are paying for analytical confidence including polished assessments with clear conclusions which signal certainty, but what’s not visible is the process behind that confidence.
Businesses rarely see the reasoning chain or the assumptions that would blow an assessment apart if they proved false. Recent geopolitical volatility, such as the US-Iran conflict, has shown the consequences of unverified or weakly interrogated inputs.
Misreading political risk
According to Adam Irwin Managing Partner of Heligan Strategic Advisory, “Corporate intelligence is only as secure as the safeguards that sit behind it, but analysts will always be biased. No board would accept a set of numbers without an audit trail, yet many accept intelligence that shape approvals and decisions with no method visibility.”
“Misidentifying beneficial ownership or misreading political risk in a target market can lead to business choices that have regulatory exposure and reputational risks. Firms must be able to audit their own thinking under pressure to catch those biases before they influence processes.” Irwin argues that the analytical bias can move from being a background risk to directly shaping outputs when the information environment turns hostile.
Battle damage assessment
“We’ve seen circular reporting dressed up as corroboration: think tanks and briefing notes all echoing the same CENTCOM battle damage assessment on Iranian missile assets as three independent sources when they’re one source. Even synthetic content has entered the intelligence chain like the circulated AI satellite imagery of a destroyed US base in Qatar before its Google Earth origin and SynthID watermark were detected.”
“While the distinction between source reliability and credibility is clear, the problem is application. Peer review can help to catch factual slips, but it cannot point out assumptions of analysts reinforcing each other’s conclusions and amplifying uncontested language. The label, groupthink, captures the nature of the error: not bad actors but an architecture that didn’t force disagreement into the room.”
Circular reporting detection
Irwin points to a structured methodology to solve this: “Firms must build a system that can intercept bias such as a documented register of structural biases by source category, including aligned think tanks, commercial interests, state media, advocacy groups. This isn’t a blacklist but a way to stop treating ‘institutional’ as synonymous with ‘neutral.’”
“Circular reporting detection will also be important to trace each cited source back to its data origin,” Irwin said. “If they all terminate in the same place, you don’t have corroboration but amplification. “Complimentary to this will be confidence levels capped by the quality of the source, not the analyst’s comfort level. If the evidence comes from a party with a certain interest, confidence can’t rise above a defined ceiling. This breaks the pattern where familiarity converts tentative reports into assumed fact.”
US–Iran information environment
Irwin concludes, “The aim isn’t to remove bias but to make it increasingly unlikely that the same bias will pass through every layer unchallenged. The US–Iran information environment is a live stress test that has concentrated every pattern worrying to an intelligence consumer: circular reporting, synthetic content and confidence inflation.”
“The firms that build auditable and analytical safeguards will set the benchmark the rest of the market is eventually judged against. That's the standard we should expect and demand from any business within the intelligence sector.”
