The Trouble With the Offshore Leaks How a Graph-Based Test of 54 FCPA Defendants Shows the ICIJ Archive Cannot Support the Comparisons It Is Used For

The Trouble With the Offshore Leaks How a Graph-Based Test of 54 FCPA Defendants Shows the ICIJ Archive Cannot Support the Comparisons It Is Used For
Methodological notice · read before proceeding

This is an analytical report prepared for pre-publication peer review. It draws on three sources of publicly available records: the SEC’s FCPA enforcement history, the ICIJ Offshore Leaks archive (Panama Papers, Bahamas Leaks, Offshore Leaks, Paradise Papers, Pandora Papers), and the UK Companies House Persons with Significant Control register. Entity resolution between these sources was performed by probabilistic string matching (Fellegi-Sunter with independence guards) followed by manual verification of individual case claims. False positives at the record level are documented in the audit trail and disclosed in the method sections. Named intermediaries, officers, and addresses in the ICIJ records reflect corporate-services professionals performing legitimate professional functions unless independent evidence, such as a subsequent sanctions designation or enforcement action, establishes otherwise.

Descriptive terms including “hub,” “shared infrastructure,” and “concentration” refer to graph properties derived from public leak records. They carry no imputation of coordination, knowledge, or unlawful purpose. The appearance of a corporation in the ICIJ Offshore Leaks Database is not itself evidence of wrongdoing. Nothing herein is legal advice. Nothing herein is an allegation of unindicted criminal conduct against any FCPA defendant.

FCPA defendants in the ICIJ Offshore Leaks · consolidated findings and methodological limits

A shell company, a Cyprus law firm, and the trouble with the offshore leaks.

This started as an attempt to find out whether companies caught in foreign-bribery cases restructure their offshore holdings in response. The ICIJ Offshore Leaks appeared to show a pattern. Rigorous testing dissolved it. Comparison against similar companies that were never caught found no difference. The real story turned out to be about the leaks themselves. They are not a random sample of the offshore world. They are whatever got leaked, and the pattern inside them is largely the pattern of what reporters got their hands on. A check against the UK’s near-complete corporate registry shows how skewed ICIJ is: Barbados appears there at 200 times its actual share of UK-connected offshore structures. That matters for anyone building claims about corporate behavior on these leaks.

US and UK sanctions authorities designated the Cyprus law firm Christodoulos G. Vassiliades and Co. LLC for its role servicing Russian oligarch corporate structures. Fifteen years before those sanctions, Vassiliades appeared in ICIJ records as intermediary for offshore subsidiaries of two US-listed FCPA-defendant multinationals: Amersham plc, the British life-sciences firm later acquired by GE Healthcare, and Lucent Technologies, later merged with Alcatel. The finding is suggestive. It is the kind of thing that opens a piece.

It is also wrong. The two ICIJ entities in question are “Amersham Consulting Inc.” (BVI, incorporated 2005) and “Lucent Investment Group Ltd.” (BVI, incorporated 1997), and both are name-collision shells rather than affiliates of the operating multinationals. Amersham Consulting Inc.’s sole director, Matthew Charles Stokes, based in the United Arab Emirates, also serves as sole director of 236 other unrelated ICIJ entities. Lucent Investment Group Ltd. has no officer data recorded at all. Someone incorporated the shells because the names sounded plausible. Vassiliades was likely providing nominee-services on standard corporate-formation contracts, not specialized advisory work for two Fortune 500 companies. What looked like a fifteen-year pre-sanctions relationship between a now-sanctioned Cyprus law firm and two US multinationals was two coincidences at one address.

This report set out to test a question of interest to FCPA specialists: when American corporations settle Foreign Corrupt Practices Act cases with the SEC, do they subsequently reorganize their offshore holdings to reduce scrutiny? The obvious dataset is the ICIJ Offshore Leaks (Panama Papers, Bahamas Leaks, Offshore Leaks, Paradise Papers, Pandora Papers, collectively 814,000 leaked offshore entities). Initial analysis said yes. Post-conduct incorporations elevated. Jurisdictional composition shifted from Bermuda, Barbados, and Bahamas to BVI, Malta, and St Kitts. The temporal test came back at p=0.005. The kind of finding that would justify a paper.

Every part of that story fell apart on inspection.

The temporal elevation degraded from p=0.005 to p=0.059 after two obvious corrections: deduplicating Tyco’s double-counted matches, and rebuilding the null model to reflect that each of the five source leaks covers different jurisdictions across different date ranges. The final p-value not only exceeds the conventional 0.05 significance threshold; it fails the Bonferroni-corrected threshold of 0.0167 (three temporal comparisons: pre-conduct, during-conduct, post-conduct) by a wider margin still. The direction of the pattern in the raw data is preserved. The statistical case for a pattern across defendants generally is not.

The jurisdictional shift turned out to be an artifact of when different leaks became available rather than a behavioral pattern. The 2013 Offshore Leaks are BVI-heavy. The 2016 Panama Papers are Panama-heavy. What looked like corporations pivoting from mature offshore havens to privacy-focused domiciles was the ICIJ archive itself acquiring different jurisdictional coverage as different registries cracked open in sequence. The pivot was in the leaks, not the defendants.

Even the case FCPA-compliance teaching literature holds up as the exemplar of post-settlement offshore restructuring, Weatherford International’s 2014 Bermuda-to-Ireland reorganization one year after its $152.6 million SEC settlement, turns out on close reading to be more ambiguous than the textbook framing suggests. Weatherford had already relocated from Bermuda to Switzerland in 2009, four years before the settlement, during the period the SEC subsequently alleged was part of the underlying misconduct. The 2014 move from Switzerland to Ireland was characterized in the trade press at the time as a tax inversion driven by the Irish corporate tax regime, one of several completed by oilfield-services peers in the same period, not as a compliance response to the SEC action. UK Companies House confirms the resulting Irish parent is the Person with Significant Control of at least seven UK-registered companies. The Ireland structure is documentably real. Whether it is a settlement response is genuinely uncertain.

A matched-control comparison was built to answer the obvious peer-review question: how do we know FCPA defendants are unusual at all? For each of 54 defendants, three non-FCPA industry peers were selected of comparable size and era, then filtered against a 197-name exclusion list covering corporate FCPA defendants from both DOJ criminal and SEC civil actions (equivalent to the Stanford Law School FCPA Clearinghouse). 84 unique clean controls resulted. Baseline ICIJ hit rate: 81.5 percent of defendants versus 72.6 percent of clean controls, Fisher’s exact p=0.31. Not significant. Source-leak distribution still differs sharply (chi-square p<10-78), but defendants are clustered in the 2013 Offshore Leaks and under-represented in post-2017 Paradise Papers subdivisions, which is what Sections 02 and 06 established about archive coverage rather than defendant behavior. Temporal distribution without the Universal Corporation outlier is statistically identical between groups (p=0.99). The matched comparison, properly controlled, does not distinguish FCPA defendants from non-FCPA industry peers in their ICIJ-leak footprint. An initial control-pool build that filtered only against this report’s own 54-defendant list produced an apparent OR=2.5 (p=0.038) elevation. That was an artifact. Halliburton, Pfizer, Eli Lilly, 3M, Honeywell, HP, Cisco, Microsoft, SAP and other post-2013 FCPA defendants were being counted as “clean controls” because they fell outside the pre-2013 SEC Litigation Release channel this report draws from. The clean comparison above comes from the rebuild. Section 11 documents it in full.

The ICIJ Offshore Leaks are routinely treated as a representative sample of the global offshore market. They are not, and the gap is measurable at scale. The UK Companies House Persons with Significant Control snapshot (15.6 million records covering UK-registered companies subject to PSC disclosure) shows Barbados representing 0.13 percent of the offshore market servicing UK-connected corporate structures. The ICIJ leaks put Barbados at 27 percent of pre-conduct alignments for FCPA defendants. Barbados appears in leaked records roughly 200 times more often than it appears in the real offshore market. Some fraction of that gap reflects a genuine US-multinational preference for Barbados during the era (the 1984 US-Barbados tax treaty made Barbados IBCs unusually attractive for American companies in ways that did not apply to UK-connected companies). No plausible account of corporate behavior can generate a 200-fold deviation. The gap is the leak, not the market.

Three findings that initially looked publishable dissolved under rigorous testing. A matched-control comparison, rebuilt to exclude the other FCPA defendants that had contaminated the original control pool, found no distinguishing signal. The 200x Barbados discrepancy ties the dissolution together and warns anyone using ICIJ data for behavioral inference about specific corporate populations.

Scope of what this report can defend. A negative result on the initial FCPA-post-settlement-behavior question, with the statistical work shown transparently. A methodology finding about the ICIJ Offshore Leaks corpus being unfit for representative claims about corporate offshore behavior, corroborated externally by UK Companies House data at 200x scale for the Barbados case alone, and corroborated internally by a matched-control comparison (Section 11) that finds no distinguishing ICIJ-footprint signal between FCPA defendants and non-FCPA industry peers once the control pool is properly scrubbed of other FCPA defendants. One ambiguous individual case (Weatherford) that appears in the FCPA-teaching literature as post-settlement restructuring but that this analysis cannot confirm as such. Nothing in this report should be read as an allegation of unindicted criminal conduct against any FCPA defendant, or as a claim that any specific service provider was knowingly complicit in FCPA violations.

Who this report is for. Three audiences treating the ICIJ Offshore Leaks as a representative proxy for the global offshore market, each with a different stake in the methodology lesson: legal scholars and FCPA-methodology researchers who use leaked corporate archives as evidence for corporate-behavior claims, including in casebook treatment of specific defendants; investigative journalists who build narratives about corporate offshore conduct from ICIJ-match hit lists; and compliance economists who construct firm-level empirical analyses, FCPA-risk models, or offshore-exposure scores on ICIJ data. For all three, the operational claim is identical: any corporate-behavior inference built on this corpus must be matched-control-validated against a non-FCPA peer population explicitly scrubbed of other FCPA defendants, externally corroborated against a near-complete reference registry at the relevant jurisdiction and date range, or both. This report demonstrates both validations against its own initial positive-signal hypothesis and reports in detail that the signal survives neither.

Exact figures across all four sensitivity tests All tests on RELIABLE-tier subset. Test 1 (original free-permutation null, n=118): post-conduct 32 observed vs null mean 25.8, p=0.012 two-sided (equivalent to p≈0.005 one-sided, matching original report). Survives Bonferroni threshold of 0.017. Test 2 (Tyco deduplicated, n=107, free-permutation null): post-conduct 31 observed vs null mean 26.0, p=0.028. Does not survive Bonferroni. Test 3 (original n=118, source-leak-stratified null): post-conduct 32 observed vs null mean 27.9, p=0.039. Does not survive Bonferroni. Test 4 (Tyco deduplicated, source-leak-stratified null): post-conduct 31 observed vs null mean 27.2, p=0.059. Does not reach even conventional significance. Direction of post-conduct elevation is preserved across all four tests. Pre-conduct and during-conduct results are unremarkable across all tests. Sensitivity of the finding to which null model is used is itself the primary result of this analysis.
p=.059
Post-conduct significance
after both corrections
200x
Barbados over-representation
in ICIJ vs UK PSC
p=.31
Defendants vs clean controls
baseline ICIJ hit rate (OR=1.66, n.s.)
p=.83
Temporal shift, controls test
excluding Universal outlier
01 · study design

What we did, why we did it, and what we expected to find.

What we did

Matched SEC EDGAR corporate FCPA defendants against the full ICIJ Offshore Leaks Database. The ICIJ corpus aggregates five separate leaks (Panama Papers, Bahamas Leaks, Offshore Leaks, Paradise Papers, Pandora Papers) covering 814,315 offshore entities across dozens of secrecy jurisdictions. Fellegi-Sunter probabilistic record linkage with independence guards produced 128,591 candidate matches, narrowed through five iterations of matcher refinement to 118 defensible alignments across 26 defendants. For each alignment we recorded the offshore entity’s incorporation date and jurisdiction, then pulled the 1-hop network of officers, intermediaries, and registered addresses around each entity to characterize the surrounding infrastructure.

Why we did it

SEC FCPA filings name the defendant corporation and describe the bribery conduct, but they rarely trace the offshore vehicles through which payments moved or through which subsidiary assets were held. Third-party facilitators are typically not named. Corporate FCPA cases routinely involve offshore subsidiaries in jurisdictions with limited public disclosure, and post-2016 leak coverage made a subset of those subsidiaries visible in public data for the first time. No prior published work joins the SEC FCPA docket systematically to the ICIJ corpus. The temporal and structural properties of that intersection are what this analysis characterizes.

What we expected to find, and what we found

The naive expectation, given the standard narrative that offshore structures facilitate bribery, is that FCPA-defendant-linked offshore entities would concentrate in the years before and during the alleged conduct period. Under the null hypothesis of no association, incorporation dates would distribute uniformly across pre, during, and post conduct windows in proportion to the length of each window and the base rate of offshore incorporation over time.

The observed pattern departs from both expectations, initially in the direction of a real effect. Post-conduct incorporation was elevated on the initial null model (p=0.005 as originally reported). Pre- and during-conduct incorporation were not elevated. That inversion of the naive expectation motivated the second analysis: if the offshore infrastructure was not being built to facilitate the conduct, what was it being built for, and where.

Two sensitivity checks were then run to test the robustness of the initial finding: Tyco deduplication (correcting for case-level duplicates that inflated the entity count) and source-stratified null modeling (correcting for the joint distribution of ICIJ source leak and incorporation date). Under either check the p-value fails Bonferroni correction. Under both applied together, the p-value fails even conventional significance. The direction of the pattern is preserved. The statistical support for interpreting it as a defendant-behavior signal is not. Sections 02, 03, and 07 walk through what the checks showed and what they mean for the finding.

How we did it

Two complementary analyses on the same 118 alignments, plus the two sensitivity checks described above.

Analysis 01 · Temporal alignment
Naive result and its collapse under corrections
Fellegi-Sunter probabilistic record linkage matches SEC FCPA corporate defendants to ICIJ offshore entities. Permutation null model with 10,000 iterations, Bonferroni-corrected for three time-window comparisons. Initial finding on free-permutation null (p=0.005 one-sided, 0.012 two-sided) collapses under Tyco deduplication (p=0.028) and source-stratified null (p=0.039). Combined corrections yield p=0.059. Direction of post-conduct elevation preserved across all four tests. Effect not distinguishable from chance under any Bonferroni-corrected sensitivity check.
Analysis 02 · Network analysis and jurisdictional pattern
Descriptive shift, largely a source-coverage artifact
NetworkX graph of 587 nodes and 750 edges built from the 1-hop service-provider neighborhood of the 107 seed entities. The apparent jurisdictional shift from mature Big Four jurisdictions (pre-conduct) to privacy-focused ones (post-conduct) is dominated by which ICIJ leak covers which jurisdiction. Three jurisdiction-specific leaks (Bahamas Leaks, Paradise Papers Barbados registry, Paradise Papers Nevis registry) plus the Bermuda-heavy Appleby subset of Paradise Papers together contribute 73% of pre-conduct alignments and 100% of the Malta and St Kitts post-conduct alignments. The shared-infrastructure descriptive observations (Appleby, Big Four presence) are not affected by null-model corrections and remain valid as descriptive facts. The Vassiliades observation initially included here does not survive corporate-identity testing and is not carried forward (see Section 04).
02 · temporal alignment

Directional pattern preserved. Bonferroni significance not.

Of the 118 defensible alignments between 26 FCPA-defendant corporations and ICIJ offshore entities, 32 (27.1%) involve offshore entities incorporated after the alleged conduct period had ended. On the original free-permutation null model this exceeded the 95% confidence interval and produced a Bonferroni-significant post-conduct effect. Two subsequent sensitivity corrections have been run: Tyco deduplication (correcting the fact that two SEC case records for Tyco each matched the same 11 ICIJ entities, inflating the entity count) and source-stratified null modeling (correcting the fact that the ICIJ corpus aggregates leaks with different date and jurisdiction coverage). Under either correction alone, the finding does not survive Bonferroni. Under both together, it does not reach conventional significance.

Observed versus free-permutation null (original, uncorrected) 80 60 40 20 0 67 Pre-conduct 19 During-conduct 32 Post-conduct Null model 95% CI Observed count
Fig 01Original result on the uncorrected free-permutation null: observed post-conduct count (32) sits above the 95% CI [21, 30] of the null distribution, producing p=0.005 one-sided. This figure preserves the visual as originally computed. The sensitivity table below shows what happens when two known corrections are applied.

Sensitivity: what happens when the corrections are applied

Test n Post-conduct obs. Null mean p-value Bonferroni p<.017
Original free-permutation null 118 32 (27.1%) 25.8 0.012 Survives
Tyco deduplicated (case-level duplicates removed) 107 31 (29.0%) 26.0 0.028 Fails
Source-leak-stratified null 118 32 (27.1%) 27.9 0.039 Fails
Both corrections applied 107 31 (29.0%) 27.2 0.059 Fails conventional

Two things stand out. First, the direction of the elevation is preserved across all four tests. The post-conduct share ranges from 27.1% to 29.0% observed against 25.8% to 27.9% expected. There is a small elevation, and its direction is consistent. Second, the statistical significance depends heavily on which null model is used. Deduplicating Tyco removes 11 case-level duplicates and shrinks the sample from 118 to 107, which lowers statistical power enough that the finding no longer clears Bonferroni. Stratifying the null model by ICIJ source leak raises the null expectation from 25.8 to 27.9 because entities in later-collected leaks (Pandora Papers, later Paradise Papers subsets) skew toward later incorporation dates for reasons unrelated to defendant behavior.

Free-permutation vs source-stratified null: why the choice matters The free-permutation null shuffles incorporation dates across all 118 alignments freely, preserving the marginal distribution of dates but breaking the joint distribution of (source-leak, date). The source-stratified null shuffles dates only within each ICIJ source leak, preserving both the date marginal and the leak-date joint distribution. The stratified version is the more conservative and, for this corpus, the more appropriate choice because the ICIJ leaks were collected at different times and cover different date ranges. Under either sensitivity correction, the post-conduct elevation loses Bonferroni-significance. This is not a null finding. It is a finding that the initial p-value overstated the significance of the effect because of correctable methodological choices.
Tyco duplication · resolved Tyco International contributed 22 case-level alignments representing 11 unique offshore entities (each counted twice because two SEC case records for Tyco matched the same ICIJ entities). Deduplication reduces the sample to n=107. Post-conduct observed count is 31 (share 29.0%, direction preserved). p-value on Tyco-dedup free-permutation null: 0.028. This does not survive Bonferroni threshold 0.017.
Source-leak-stratified null · resolved Permutation stratified by ICIJ source leak (Panama Papers, Bahamas Leaks, Offshore Leaks, seven Paradise Papers subsets, four Pandora Papers subsets). Post-conduct null mean rises from 25.8 (unstratified) to 27.9 (stratified) because later-collected leaks contribute more later-incorporated entities in general. p-value 0.039 on the original n=118, or 0.059 with Tyco dedup also applied. Neither survives Bonferroni threshold 0.017.
The direction of the pattern is real in the data. The Bonferroni-corrected significance is not. Both facts belong in the same sentence.
03 · jurisdictional pattern

The observed shift is largely a leak-coverage artifact.

Splitting the 118 alignments by both temporal category and jurisdiction produces an eye-catching descriptive pattern. Pre-conduct entities cluster in mature Big Four accounting jurisdictions (46 of 67 = 69% in Barbados, Bahamas, or Bermuda). Post-conduct entities cluster in privacy-focused jurisdictions (20 of 32 = 63% in BVI, Malta, St Kitts, Samoa, or Seychelles). At face value, the Wilson intervals do not overlap and the shift looks real.

Jurisdiction blockPre-conductPost-conduct
Mature Big Four (BRB, BAH, BM)46/67 = 69% [57–79]8/32 = 25% [13–42]
Privacy-focused (BVI, MLT, KNA, SAM, SEY)2/67 = 3% [1–10]20/32 = 63% [45–77]
Other (KY, PMA, AW, CYP, NIUE, XXX)19/67 = 28%4/32 = 12%

The problem is not the descriptive counts. The descriptive counts are what they are. The problem is what the shift means, and specifically whether it reflects any change in what corporations did versus a change in which ICIJ leak happens to include each entity. Cross-tabulating alignments by ICIJ source leak and temporal category resolves the question.

The source-leak by temporal-category cross-tabulation

ICIJ source leakPreDurPostJurisdictional scope
Paradise Papers - Appleby1925Bermuda-heavy multi
Paradise Papers - Barbados corporate registry1832Barbados only, by construction
Bahamas Leaks1231Bahamas only, by construction
Panama Papers8312Multi-jurisdiction
Paradise Papers - Aruba corporate registry522Aruba only, by construction
Offshore Leaks333Multi-jurisdiction
Paradise Papers - Malta corporate registry124Malta only, by construction
Paradise Papers - Bahamas corporate registry100Bahamas only, by construction
Paradise Papers - Nevis corporate registry013St Kitts only, by construction

Three observations, each fatal to the naive reading of the jurisdictional shift.

First, the pre-conduct Big Four dominance is arithmetically forced by leak composition. Bahamas Leaks contributes 12 pre-conduct alignments, all Bahamas by construction (that leak is a scrape of the Bahamas corporate registry). Paradise Papers Barbados registry contributes 18 pre-conduct alignments, all Barbados. Paradise Papers Appleby contributes 19 pre-conduct alignments concentrated in Bermuda. Together these three sources supply 49 of the 67 pre-conduct alignments (73%) and cover exactly the three “mature Big Four” jurisdictions the shift narrative rests on. If those leaks had not been included in the ICIJ corpus, the pre-conduct Big Four share would be much smaller.

Second, the post-conduct privacy-jurisdiction concentration is similarly leak-forced. All four post-conduct Malta observations come from the Paradise Papers Malta corporate registry subset (Malta only by construction). All three post-conduct St Kitts observations come from the Paradise Papers Nevis corporate registry subset (St Kitts only by construction). These are not defendants choosing Malta or St Kitts; these are leaks that happen to cover Malta and St Kitts and happen to contain post-conduct-dated entities linked to these defendants.

Third, the two multi-jurisdiction leaks that could in principle reveal a jurisdictional shift not driven by coverage (Panama Papers and Offshore Leaks) do not show one. Panama Papers has 8 pre-conduct and 12 post-conduct alignments; Offshore Leaks has 3 of each. In neither of these leaks is there a within-leak temporal-jurisdictional pattern that could support a defendant-behavior interpretation. Whatever the multi-jurisdiction leaks show is not what the naive block-level shift describes.

What this means for the finding The observed pre-to-post jurisdictional shift in this data is dominated by which ICIJ leak covers which jurisdiction, and by the fact that different leaks contribute different pre-vs-post ratios of alignments. This is not a claim that defendants did not shift their offshore jurisdictions over time. It is a claim that this dataset, as constituted, cannot answer the question. Testing the question properly requires either a matched non-FCPA-defendant baseline drawn from the same source leaks, or restricting to multi-jurisdiction leaks (Panama Papers, Offshore Leaks) where within-leak jurisdictional variation can be observed. Neither has been done in this study.
The jurisdictional shift describes the ICIJ corpus. It does not describe the defendants.
04 · shared infrastructure

Sixteen nodes service more than one defendant.

Around the 107 seed offshore entities, ICIJ’s relationships file records 480 direct service-provider connections: 373 unique officers, 40 intermediaries, 39 addresses. Sixteen of these nodes are shared: they connect to entities belonging to two or more different FCPA defendants. The list is entirely legitimate professional infrastructure. Big Four accounting firms, Bermuda law firm addresses, established Bahamas and BVI corporate-services intermediaries. Two entries in an earlier working note on this section were interpretively singled out (one intermediary, two individual officers). Neither interpretation survives closer testing. Both are documented below with the reasons they do not carry forward.

Shared nodeTypeDefsEntities
Canon’s Court, 22 Victoria Street, Hamilton, Bermuda (Appleby Bermuda office)address416
Argyle House, 41a Cedar Avenue, Hamilton, Bermudaaddress35
Amissah, M Tonesan (individual)officer34
P.O. Box 261, Bridgetown, Barbadosaddress33
Jones, Michael (name ambiguous)officer25
Appleby Services (Bermuda) Ltd.intermediary23
Chancery House, High Street, Bridgetown, Barbadosaddress23
Orion House Services (HK) Limitedintermediary22
Christodoulos G. Vassiliades & Co. LLC (does not survive, see below)intermediary22
Portcullis TrustNet (BVI) Limited (leaked entity, 2013)officer22
PricewaterhouseCoopers, Bermudaofficer22
Deloitte Audit Ltdofficer22
Ernst & Young Building, Bridgetown, Barbadosaddress22
Mossack Fonseca & Co. (Bahamas) Limitedintermediary22

The one flag worth naming, and why it does not survive closer testing

Christodoulos G. Vassiliades & Co. LLC (NOT CARRIED FORWARD)
Intermediary (Nicosia, Cyprus) · sanctioned US OFAC + UK FCDO April 2023

An earlier draft of this section reported that this Cyprus law firm appeared as intermediary for offshore entities linked to Amersham and Lucent Technologies, framing the observation as evidence that a Cyprus provider later sanctioned in 2023 had been servicing FCPA-liable US corporations more than a decade earlier. On corporate-identity verification of the two ICIJ entities that produced that finding, the affiliation claim does not hold.

The ICIJ archive documents Vassiliades & Co. LLC (ICIJ node 298340) as intermediary for two entities: Amersham Consulting, Inc. (ICIJ node 202069, incorporated 21 July 2005, jurisdiction undetermined) and Lucent Investment Group Ltd. (ICIJ node 189489, incorporated 22 October 1997, jurisdiction undetermined). Both entities are registered at Ledra House, the Vassiliades firm’s Nicosia address. Neither entity is verifiable as an affiliate of the FCPA-defendant corporation whose name it echoes. Amersham Consulting Inc. has a single listed officer (Matthew Charles Stokes, UAE-based) who appears as officer of 236 other ICIJ entities. This is the standard signature of a nominee director serving a corporate-services provider’s general client base, not the officer profile of an Amersham plc or GE Healthcare operating subsidiary. Lucent Investment Group Ltd. has no officer data in the ICIJ record, precluding verification either way. Neither entity connects, in ICIJ’s own relationship graph, to any recognizable Amersham plc, GE Healthcare, Lucent Technologies, or Alcatel-Lucent executive or affiliate.

The FCPA-defendant Amersham (Amersham plc, acquired by GE in April 2004, now GE Healthcare Ltd.) settled with the SEC on 27 July 2010 over Iraq oil-for-food kickback violations. The FCPA-defendant Lucent Technologies (later Alcatel-Lucent, now Nokia) settled with the SEC and DOJ in December 2007 over China bribery violations. There is no evidence in the ICIJ archive that Amersham Consulting Inc. or Lucent Investment Group Ltd. was affiliated with either FCPA defendant. The two ICIJ entities appear to be independent structures whose corporate names coincide with those of the FCPA defendants. This is the same class of false positive as the “Labb Holdings” substring hit for “ABB Holdings” and the “Turnstone Equityco” substring hit for “Tyco International” documented in Section 10 of this report.

The Vassiliades-as-FCPA-adjacent-service-provider observation does not survive corporate-identity testing and is not carried forward. What remains factually accurate: Vassiliades & Co. LLC was designated by US OFAC on 13 April 2023 and by UK FCDO on 12 April 2023 in enforcement actions targeting enablers of sanctioned Russian nationals. The UK amended its designation on 14 July 2026, removing Alisher Usmanov references and restating the basis as Vassiliades’s role as director of a Sberbank Cyprus subsidiary. The US designation stands. This report does not adjudicate the underlying sanctions matter, which is subject to ongoing legal proceedings.

Two individual-officer observations, unverified

Two entries in the shared-infrastructure table are individual named persons: “Amissah, M Tonesan” (3 defendants: Baker Hughes, Ingersoll-Rand, Schering-Plough) and “Jones, Michael” (2 defendants: Schering-Plough, Tyco International). Both are surfaced without independent verification. The most likely explanation for a single individual appearing on the boards of subsidiaries of multiple unrelated multinationals is that the person is a corporate secretary at one of the shared Bermuda law firms and is named on client subsidiaries as part of routine corporate-services practice. This explanation is a hypothesis. Neither individual has been verified against Bermuda corporate-services personnel records. Given the Vassiliades corporate-identity failure above, absent verification, no interpretive weight should be placed on these two entries either. They are surfaced for follow-up, not as findings.

The remaining shared nodes are what they look like: Appleby’s Bermuda office as the registered address of subsidiaries of four FCPA defendants; PwC and Deloitte listed as officers of subsidiaries of two defendants each; Chancery House in Bridgetown (a major Barbadian law firm) shared across two. These are professional services with wide market share serving multinational clients. Their appearance across FCPA defendants proves market presence, not coordination.

Why not more hubs Only 16 shared nodes emerge from a graph of 587. Most 1-hop neighbors service one defendant only. This is the expected pattern given that each FCPA-defendant multinational retains its own set of corporate secretaries, in-house directors, and specific service relationships. The interesting question is not the count of shared nodes but whether any individual node’s cross-defendant appearance exceeds what its overall market share would predict. Establishing that requires a matched non-FCPA-defendant baseline the study has not built.
05 · community structure

No specialized post-conduct service network.

Louvain community detection on the seed-entity projection produces 14 communities of size 2 or more. Six of those span multiple defendants; the other eight are within-defendant clusters (groups of Ingersoll-Rand subsidiaries connected through shared corporate secretaries, groups of Baker Hughes subsidiaries connected through shared intermediaries, and so on). The multi-defendant communities are small and temporally mixed.

Cross-defendant communities and their temporal composition Schering-Plough + Tyco 6 entities 5 pre 1 Baker Hughes + Tyco 2 entities 2 post BellSouth + Lucent via Portcullis TrustNet 2 post Amersham + Lucent not carried forward: name-collision artifact 1 1 ABB + Baker Hughes via Deloitte Audit 1 1 Pre-conduct entity During-conduct entity Post-conduct entity
Fig 03Five of the six cross-defendant communities. Each community is labeled by its connective shared node. No community is dominated by post-conduct entities in a way that would suggest a specialized post-conduct service network. The post-conduct temporal elevation is not driven by a distinct provider community.

The absence of post-conduct-dominant communities is itself informative. If the observed post-conduct temporal elevation had reflected a specific set of service providers who specialize in post-investigation restructuring, we would expect those providers to form dense, post-conduct-heavy communities in the projection. That is not the pattern. Post-conduct entities distribute across the community structure roughly the same way pre-conduct entities do.

This observation is worth keeping distinct from the sensitivity-tested finding. The community structure is descriptive: it says the offshore service-provider ecosystem serving these FCPA-defendant corporations is not visibly organized around post-conduct-specialized clusters. This is true independently of whether the temporal elevation reaches Bonferroni significance and independently of whether the jurisdictional pattern is a coverage artifact. What the ecosystem looks like remains what it looks like.

06 · interpretation

What the sensitivity tests resolved, and what they did not.

The earlier draft of this report presented four candidate mechanisms for the observed pattern and ranked them by prior plausibility, with leak-source coverage timing at the top as the strongest confounder to rule out. The confounder tests have now been run. Mechanism 01 was confirmed as the primary driver of the jurisdictional finding. The other three mechanisms remain untested and cannot be evaluated on the current data.

Mechanism 01 · confirmed as primary driver
Selection effect from ICIJ leak coverage
Cross-tabulation of alignments by ICIJ source leak and temporal category (section 03) shows that jurisdiction-specific leaks (Bahamas Leaks, Paradise Papers Barbados registry, Paradise Papers Nevis registry, Paradise Papers Malta registry) drive most of the observed pre-to-post jurisdictional shift. Three leaks contribute 73% of pre-conduct alignments in exactly the three Big Four jurisdictions the shift narrative rests on. Two other leaks contribute 100% of the post-conduct Malta and St Kitts observations by construction. Source-stratified null testing on the temporal finding raises the post-conduct p-value from 0.012 to 0.039. The confounder is not merely a plausible alternative. It is largely the observed pattern.
Mechanism 02 · untested
Industry-wide shift in offshore-service demand
Whether the offshore market as a whole shifted toward BVI and Malta over the study period, and whether FCPA defendants tracked that broader trend, cannot be evaluated without a matched non-FCPA-defendant baseline. The current study does not build one. This mechanism remains a possible partial explanation for whatever residual pattern survives leak-source adjustment, but is not testable on the data as constituted.
Mechanism 03 · untested
Settlement-driven corporate reorganization
Whether the post-conduct entities reflect legally-required or industry-standard remediation following SEC settlements requires joining settlement dates to the alignment set and comparing settlement-adjacent to non-adjacent temporal distributions. Not performed. Even if the temporal finding were robust to leak-source adjustment (it is not, at Bonferroni), this mechanism would need separate testing.
Mechanism 04 · not supported
Post-investigation asset restructuring in tighter-secrecy jurisdictions
The most interpretively loaded mechanism. Would predict a real behavioral shift toward privacy-focused jurisdictions after settlement. Given that Mechanism 01 largely explains the observed pattern and that the temporal finding does not survive Bonferroni under either sensitivity check, this mechanism has no independent support in the data. It cannot be claimed on this analysis.

The distinction between mechanisms matters because a naive reading of this report might infer a defendant-behavior story. The data do not support that inference. What the data support is a much narrower claim: within the ICIJ Offshore Leaks corpus, alignments to FCPA-defendant corporations show a directional post-conduct elevation of about 3 to 5 percentage points and a jurisdictional footprint that mostly mirrors which leaks contribute which alignments. Both facts are true. Neither warrants the causal story that the initial pattern seemed to suggest.

Testing the confounder resolved most of the pattern. What remains is a small directional signal and an artifact of leak coverage. The behavioral hypothesis is possible. It is not supported by the current data.
07 · method

What was used, and how the noise was filtered out.

Defendant extraction (SEC EDGAR) 54 corporate FCPA defendants extracted from the SECEO SQLite catalog (SEC Enforcement Ontology, curated by the author). Coverage is restricted to pre-2013 SEC Litigation Releases. This restriction produces three specific exclusions that materially constrain what the report can claim about “FCPA defendants” generally. First, post-2013 corporate FCPA enforcement moved almost entirely to the SEC administrative-proceedings channel and is not captured here; extension to the AP channel is a future project. Second, DOJ-only criminal cases where the SEC did not file civil charges are excluded, which omits some corporate defendants entirely. Third, and most consequentially, the largest post-2013 FCPA corporate matters are not in the sample: Alstom ($772M, 2014), TeliaSonera ($965M, 2017), Odebrecht ($2.6B, 2016), MTS ($850M, 2019), Ericsson ($1.06B, 2019), Airbus ($3.9B, 2020), Goldman Sachs ($2.9B, 2020). Together these exclusions mean that any finding in this report describes the pre-2013 SEC LR corpus specifically, not the broader FCPA enforcement population.
Definition of “FCPA defendant” and statutory-basis breakdown Scope: SEC civil channel only. “FCPA defendant” in this report means any corporate defendant appearing in a pre-2013 SEC FCPA Litigation Release. The statutory-basis analysis below applies only to the SEC civil-channel charges. Many of the same corporate defendants had parallel DOJ criminal actions that may have included Section 78dd anti-bribery charges even where the SEC civil settlement was pled only under Section 13(b)(2). A reader should not conclude from this classification that any defendant was not charged with FCPA anti-bribery: for that determination the DOJ criminal side must be consulted separately, which this analysis does not do. The SEC prosecutes FCPA matters through two civil-channel tracks: Section 30A / 15 U.S.C. sect. 78dd anti-bribery (requires proving the corrupt payment) and Section 13(b)(2) books-and-records and internal-controls (requires proving accounting or controls failure). Of the 54 defendants analyzed, 18 were charged under both provisions in the SEC civil channel. 36 were charged only under Section 13(b)(2) at the SEC civil level. Zero were charged only under Section 78dd, as expected: SEC 78dd anti-bribery cases virtually always include books-and-records charges as well. The SEC-civil-channel 13(b)(2)-only classification includes two landmark cases that are also DOJ-non-prosecuted: Schering-Plough (2004), where the SEC pursued FCPA books-and-records liability for payments to a foundation controlled by a Polish government official (no parallel DOJ criminal action), and BellSouth (2002), for accounting-controls failures related to payments through a Nicaraguan subsidiary (also SEC-only). Other defendants in the 13(b)(2)-only SEC civil-channel group (including Weatherford International 2013, Diebold 2013, and others) had parallel DOJ criminal actions that did include Section 78dd anti-bribery counts. Analysis is not restricted to 78dd cases at the SEC civil level. Both statutory tracks are legitimate FCPA matters under standard treatment in the FCPA bar and in FCPA-research literature.
Entity matching (Fellegi-Sunter) Probabilistic record linkage with IDF-weighted shared-token scoring, corporate suffix agreement, and jurisdiction agreement. Two independence guards prevent single-token noise: shared identifying tokens must include at least two distinct words, or if only one token is shared, both sides’ token sets must reduce to exactly that token. Single-character tokens produced by suffix punctuation stripping (N.V. becoming n and v) are dropped. Common English words with low discriminative power (holdings, international, technologies, electric, offshore) are filtered before matching. On the initial production run, these guards downgraded 36,465 candidate matches that would have otherwise been classified as strong matches. All to specific failure modes documented in the pipeline’s regression tests.
Defendant classification and manual overrides Auto-classification into RELIABLE, PARTIAL, and NOISY tiers based on distinctive-token count and empirical match count. Four manual overrides applied: Tyco International moved into RELIABLE (auto: noisy due to match volume; matches on inspection are recognizable Tyco subsidiaries); International Business Machines, Con-way, and American Bank Note Holographics moved into NOISY (matches are unrelated companies coincidentally sharing tokens). Primary analysis uses the 26 RELIABLE defendants only. Full classification exposed in the reproducibility artifacts.
Permutation null model 10,000 iterations reassigning ICIJ incorporation dates across defendants, preserving marginal distributions of both dates and conduct periods. Bonferroni correction for three comparisons at α = 0.05, threshold p < 0.0167. Only post-conduct crosses that threshold.
Prior work on ICIJ coverage bias and offshore-leak methodology The observation that leaked-document archives like the Panama Papers, Paradise Papers, and their aggregation in ICIJ’s Offshore Leaks database are not representative samples of the global offshore market is not novel to this report. Alstadsae ter, Johannesen, and Zucman (JPubEcon 2018, “Who Owns the Wealth in Tax Havens? Macro Evidence and Implications for Global Inequality”) have documented selection effects in Panama Papers-based wealth estimates. Sharman (Havens in a Storm, 2006; The Despot’s Guide to Wealth Management, 2017) has written extensively on the limits of leak-based inference about offshore behavior. Findley, Nielson, and Sharman (Global Shell Games, 2014) conducted controlled shell-company incorporation experiments that produced empirical benchmarks for offshore-provider behavior orthogonal to leak-based observation. The specific contribution this report offers is not the general observation of coverage bias but two quantifications and one application: (a) the 200x Barbados over-representation figure derived by cross-referencing ICIJ against the UK Companies House PSC snapshot at 15.6M-record scale; (b) the demonstration that source-leak-stratified null modeling collapses the initial ICIJ-based FCPA-post-conduct signal from p=0.005 to p=0.059; and (c) an FCPA-specific working example of how a specific research question is not answerable on the ICIJ corpus. Positioning: this report is addressed to three audiences treating the ICIJ Offshore Leaks as a representative proxy for the global offshore market: legal scholars and FCPA-methodology researchers using leaked archives for corporate-behavior claims; investigative journalists building narratives about corporate offshore conduct from ICIJ matches; and compliance economists constructing firm-level empirical analyses on ICIJ data. For all three, the central claim is operational: any corporate-behavior inference built on the ICIJ corpus must either be matched-control-validated against a non-FCPA peer population scrubbed of other FCPA defendants, or externally corroborated against a near-complete reference registry at the relevant jurisdiction and date range, or both. This report demonstrates both validations against an initial positive-signal hypothesis and reports that the signal does not survive either test. The methodology lesson is not novel in general; the specific quantifications (200x Barbados UK-PSC over-representation, p=0.005-to-0.059 signal collapse under source-leak-stratified null modeling, null matched-control comparison across 54 defendants and 84 clean peers) are novel and are the contribution.
Network construction and community detection NetworkX bipartite-plus graph seeded from the 107 unique RELIABLE seed entities. 1-hop expansion pulls all incident edges from ICIJ’s relationships.csv: 647 officer edges, 83 registered address edges, 58 intermediary edges, plus 21 other relationship types. Louvain community detection on the seed-entity projection (two entities connected if they share at least one officer or intermediary, edge weighted by shared count). Graph exported as GEXF for interactive Gephi exploration.
08 · limits

What was tested and what could still change the reading.

The two most damaging confounders have been tested. Both hit. Remaining limits either reflect study scope (what could be added in future work) or reflect items still on the pre-publication list.

Leak-source coverage timing · tested, confirmed as primary driver Source-stratified permutation null raises the post-conduct p-value from 0.012 to 0.039 (fails Bonferroni threshold 0.017). More damaging: cross-tabulation of alignments by ICIJ source leak and temporal category (section 03) shows that jurisdiction-specific leaks contribute 73% of pre-conduct alignments in exactly the three Big Four jurisdictions the shift narrative rests on, and 100% of the post-conduct Malta and St Kitts observations. The confounder is not a hypothetical alternative. It is largely the observed pattern.
Tyco duplication · tested, direction preserved, significance fails Tyco International contributed 22 case-level alignments representing 11 unique offshore entities (each counted twice because two SEC case records for Tyco matched the same ICIJ entities). Deduplication reduces the sample to n=107. Post-conduct observed count is 31 (share 29.0%, direction preserved). p-value on Tyco-dedup free-permutation null: 0.028. Does not survive Bonferroni threshold 0.017. Combined with the source-stratified correction, p=0.059.
Matched non-FCPA baseline · added in Section 11, imperfect matcher Section 11 presents a matched-control comparison against 84 unique non-FCPA-defendant industry peers, selected via a hybrid manual-curated and SIC-sampled process and filtered against a 197-name KNOWN_FCPA_DEFENDANTS exclusion list (equivalent to Stanford Law School FCPA Clearinghouse coverage). The exclusion list was built after an initial control-pool construction that filtered only against this report’s 54-defendant list turned out to include Halliburton, Pfizer, Eli Lilly, 3M, Honeywell, HP, Cisco, Microsoft, SAP, and other post-2013 FCPA defendants, whose own offshore structures inflated the apparent baseline-hit-rate gap. Rebuilt against the comprehensive exclusion list: baseline hit rate 81.5% defendants vs 72.6% clean controls (Fisher’s p=0.31, not significant); source-leak distribution still differs sharply (chi-square p<10-78) but reads as archive-coverage artifact rather than defendant behavior (defendants cluster in 2013 Offshore Leaks and are under-represented in post-2017 archive subdivisions); temporal distribution collapses to indistinguishable from controls when the Universal Corporation name-broadness outlier is excluded (p=0.99). The matched comparison does not find a distinguishing ICIJ-footprint signal. Method caveat: Section 11 uses a from-scratch word-boundary matcher (the original Fellegi-Sunter matcher used elsewhere in this report was not recoverable from the project archive), applied uniformly to both defendants and controls. Absolute alignment counts in Section 11 do not correspond to figures elsewhere in this report. Relative comparisons between defendants and controls are valid.
Selection into the RELIABLE tier The 26-defendant subset filters for distinctive-token names. This systematically excludes companies with generic names (IBM was manually excluded; many were auto-excluded by the matcher’s independence guards). Distinctive-name companies skew smaller, more industry-specific, and less conglomerate than the full FCPA docket. Even if a real pattern existed within this subset, generalization to the full FCPA docket would require analysis of the NOISY-tier defendants that were excluded.
Industry composition of the 26 defendants Rough breakdown: 10 industrial/manufacturing, 5 medical/pharma, 4 oil-and-gas services, 3 telecom, and 4 miscellaneous. This overweights industries historically associated with FCPA enforcement (oilfield services, medical devices in emerging markets, telecom infrastructure sales). Whether the temporal and jurisdictional patterns hold within any single industry cell is not tested. Sample too small for stable per-industry inference.
78dd verification pending The 26 defendants are extracted from the SECEO catalog’s FCPA-tagged Litigation Releases. This tagging captures cases pled under 15 U.S.C. §§ 78dd-1/-2/-3 (the FCPA antibribery provisions). Books-and-records-only cases (13(b)(2)) that do not include antibribery charges should be excluded from an FCPA-defendant cohort. Per-defendant charge-level verification against SEC filings has not been rerun for this consolidated report. Any defendant that turns out to be a 13(b)(2)-only case should be removed and the analysis recomputed.
Pre-2013 civil-channel scope only Corporate FCPA enforcement moved almost entirely to the administrative-proceedings channel after 2013. This analysis covers only the pre-2013 civil-litigation channel, meaning the majority of modern FCPA corporate enforcement is not represented. Extension to the AP channel is substantive additional work.
Geographic false positives in the audit trail Two matches in the RELIABLE audit trail are geographic false positives: EL PASO SPORTS BAR & RESTAURANT (twice) and RANCHO EL PASO surfaced under the El Paso Corporation defendant because they share the two identifying tokens after filtering. These inflate El Paso’s post-conduct count by two. Surfaced transparently rather than silently filtered, but pre-publication cleanup would remove them.
Hub interpretation requires baseline (network side) Appleby, PwC, Deloitte, and Mossack Fonseca appearing across multiple FCPA defendants proves those firms had market presence in offshore services, not that they selectively serviced bribery-related structures. Cross-defendant hub interpretation is descriptive only. Would require the same matched non-FCPA-defendant baseline noted above.
Officer identity ambiguity ICIJ officer records are strings. “Jones, Michael” as officer of one entity and “Jones, Michael” as officer of another may or may not be the same person. ICIJ deduplicates where possible via secondary information (dates of birth, addresses), but residual ambiguity remains. “Amissah, M Tonesan” is distinctive enough that a single person is more plausible but this has not been verified against Bermuda corporate-services personnel records.
1-hop network only The network captures direct service providers of seed entities. Second-order connections (officer of officer, agent of agent) are not included. A 2-hop expansion would likely reveal more shared infrastructure than the 16 nodes reported here, particularly through address chains where multiple offshore entities register at the same physical building through different intermediaries.
09 · what comes next

Where this leaves things.

The three headline sanity checks are done. The temporal finding does not survive Bonferroni under either correction. The jurisdictional finding is largely a leak-source-coverage artifact. The corpus-extension check (Section 10) confirms the leak-coverage confound externally at 200x scale for Barbados and identifies about 20 ICIJ-listed offshore entities as documentably real corporate structures with UK reach. None of this invalidates the underlying question. All of it invalidates the current ICIJ data as a way to answer it in the general-across-defendants form initially attempted.

A few smaller items remain worth doing as pre-publication cleanup:

  • Per-defendant 78dd charge verification (1 hour). Confirm all 26 RELIABLE defendants pled under 15 U.S.C. §§ 78dd-1/-2/-3. Remove any 13(b)(2)-only cases.
  • Remove the two El Paso geographic false positives from the audit trail (15 minutes).
  • Manual verification of Amissah and Jones against Bermuda corporate-services personnel records (2 hours each). Given the Vassiliades corporate-identity failure documented in Section 04, these are lower priority and should stay so absent verification.
  • Tighten Section 10 Q3 pattern matches (10 minutes of code, 90 minutes to rerun the UK PSC stream). Current patterns produce name-collision false positives (“Labb Holdings” matched to ABB, “Turnstone Equityco” matched to Tyco). Tightening to full defendant names and full offshore addresses would reduce Q3 from ~3,252 matches to a defensible subset.
  • Fix Section 10 Q2 hub-adjacency counter to join UK PSC records by company_number instead of within-record substring match. Current implementation returned an empty ICIJ-adjacent counter (documented in Section 10 Method Disclosures) and the matched-baseline claim requires this fix before it can be defended.
10 · UK PSC cross-corpus validation

The entities exist. UK Companies House externally confirms the leak distortion.

Given the negative statistical result on the ICIJ corpus alone, one obvious question is whether the ICIJ seed entities are themselves real corporate structures or artifacts of leak-selection. The UK Companies House Persons with Significant Control snapshot answers this. It is a comprehensive registry of the beneficial ownership of every UK-registered company, updated monthly, containing roughly 15.6 million records as of May 2026. Its coverage is complete (every UK company must file) rather than incidental (a leak of a specific provider or jurisdiction). If the ICIJ seed entities reach into any real UK corporate ownership structures, they should appear in UK PSC.

Testing this required a streaming filter over 12.65 GB of decompressed JSON Lines directly from S3, without ever materializing the uncompressed data on local disk. The filter scanned each PSC record for substring matches against three sets of patterns: 104 unique ICIJ seed entity names derived from the RELIABLE-tier alignments, name patterns for each of the 26 RELIABLE FCPA defendants, and address patterns for the 16 ICIJ shared-infrastructure addresses. The full scan completed in 88 minutes on 15,582,261 records and produced three types of findings.

Finding A. Twenty ICIJ seed entities appear as PSCs of UK companies

Sixty-six UK companies list one of the 107 ICIJ seed offshore entities as their Person with Significant Control. Deduplicating by underlying PSC entity, this resolves to approximately 20 unique ICIJ seeds, each of which controls between 1 and 7 UK subsidiaries. The seven largest are these:

Underlying PSC entityRegistrationUK subsidiariesICIJ seed matched
Weatherford International Public Limited CompanyIreland, reg 5404067+Weatherford International Ltd.
Tyco Holdings (U.K.) LimitedUK, reg 025048685+Tyco Holdings Limited
Zimmer Biomet Holdings Inc.Delaware, reg 33437993+Biomet Holdings Ltd.
ABB Holdings LimitedUK, reg 029238721ABB Holdings Limited
Ingersoll Rand Inc.Delaware, reg 52959411Ingersoll Rand Inc.
Diebold IncorporatedOhio, reg 12761Diebold Incorporated
New Amersham Holdings LtdUK, reg 130099801Amersham Holdings S.A.

Weatherford. Weatherford International Ltd. (Bermuda) is one of the ICIJ-listed offshore entities linked to the Weatherford FCPA settlement of November 2013 ($152.6 million for oil-for-food violations in Iraq and other misconduct). UK Companies House lists Weatherford International Public Limited Company (Ireland, registration 540406, address Sir John Rogerson’s Quay, Dublin) as PSC of at least 7 UK companies. Two facts complicate the temptation to read this as a straightforward post-settlement offshore restructuring case. First, the 2014 Ireland reincorporation was not a move from Bermuda. Weatherford had left Bermuda for Switzerland in 2009, four years before the FCPA settlement, and the 2014 move was Switzerland-to-Ireland. Second, the 2014 move was characterized at the time as a tax-driven corporate inversion (Ireland’s effective corporate rate was substantially lower than Switzerland’s for Weatherford’s structure), and several oilfield-services peers completed comparable Switzerland-to-Ireland or US-to-Ireland moves in the same period. The 2014 move followed the November 2013 FCPA settlement by roughly one year, which is temporally suggestive but not exclusive of the tax-inversion account. What UK Companies House does show is that the post-settlement Weatherford corporate identity remains active, has an Ireland domicile, and reaches into UK ownership at scale. What it does not show, and what this analysis cannot determine, is whether the 2014 Ireland move was influenced by the FCPA settlement, would have happened anyway on tax grounds, or reflected both. The one case that looked cleanest at the outset does not survive close inspection as a clean case of settlement-driven offshore restructuring.

Zimmer Biomet. Biomet’s FCPA settlement was March 2012 ($22.8 million for bribery in Argentina, Brazil, and China) and included a deferred prosecution agreement. Biomet subsequently continued FCPA violations during the DPA period. Zimmer acquired Biomet in a $14 billion transaction that closed in June 2015, during the ongoing conduct. In January 2017, Zimmer Biomet paid an additional $30 million and Biomet’s DPA was extended after the continued violations were disclosed. UK Companies House lists Zimmer Biomet Holdings Inc. (Delaware, registration 3343799) as PSC of at least 3 UK companies as of May 2026. Biomet Holdings Ltd. appears as one of the ICIJ-listed offshore entities. What UK Companies House shows in this case is not post-settlement offshore restructuring. It is corporate continuity through merger, during which further FCPA enforcement occurred against the successor entity. This case is included for completeness rather than as evidence of the phenomenon the ICIJ analysis attempted to detect.

Tyco. Tyco International settled its FCPA case in September 2006. Twenty years later, Tyco Holdings (U.K.) Limited (UK registration 02504868, address Sunbury-on-Thames) remains an active PSC of at least 5 UK subsidiaries. Neither restructuring nor dissolution; simple structural persistence. This case is included for completeness, not because it demonstrates anything about the post-settlement behavioral hypothesis.

Finding B. The real offshore market is Jersey, not Barbados

The UK PSC snapshot documents the offshore jurisdictional distribution of Persons with Significant Control across the entire population of UK-connected companies. This is the empirical answer to the question of which offshore jurisdictions actually service UK-connected corporate structures. Comparison to the ICIJ pre-conduct alignment jurisdiction shares reveals the magnitude of the leak-source-artifact confound identified in section 03.

JurisdictionUK PSC countReal market shareICIJ pre-conduct shareRatio
Jersey4,70124.0%~0%absent
Guernsey2,33611.9%~0%absent
Isle of Man2,21611.3%~0%absent
British Virgin Islands1,97810.1%1.5%-7x
Luxembourg1,8169.3%~0%absent
Cyprus1,0675.4%~0%absent
Cayman Islands9855.0%9.0%+2x
Gibraltar8624.4%~0%absent
Bermuda7914.0%19.4%+5x
Bahamas1931.0%22.4%+22x
Barbados250.13%26.9%+207x

UK PSC counts are of corporate-entity PSCs registered in each jurisdiction, from the offshore-registered subset used as the ICIJ analysis’s comparable baseline. Real market share is that count as a fraction of the ~19,600 offshore-registered corporate PSCs. ICIJ pre-conduct share is from the RELIABLE-tier alignment analysis (section 03).

The three jurisdictions the ICIJ analysis foregrounded as pre-conduct dominant (Barbados, Bahamas, Bermuda) are collectively 5% of the real offshore market that services UK-connected companies. The five jurisdictions the ICIJ analysis found effectively absent (Jersey, Guernsey, Isle of Man, Luxembourg, Cyprus) are collectively 62% of it. This is not a subtle bias. The ICIJ data and the actual offshore market for UK-connected companies are covering substantially different jurisdictions. The ICIJ leaks over-represent the specific offshore jurisdictions covered by their constituent components (Bahamas Leaks, Paradise Papers Barbados registry, Paradise Papers Appleby) and under-represent the Crown Dependency jurisdictions (Jersey, Guernsey, Isle of Man) that dominate real offshore activity in this domain.

Section 03 argued the same point from within-corpus evidence (leak-source cross-tabulation showing 73% of pre-conduct alignments from three jurisdiction-specific leaks). UK PSC provides independent external corroboration at 200x scale for Barbados specifically. No behavioral hypothesis about defendant conduct can generate a 200x deviation from real-market share. This is a corpus-composition fact, not a behavioral fact.

Finding C. Hub market share descriptive baseline

Four ICIJ shared-infrastructure hubs appear as PSCs of offshore-registered UK companies at the following rates (numerator: appearances as PSC of an offshore-registered UK company; denominator: 19,613 offshore-registered corporate PSCs in the UK PSC snapshot):

HubOffshore-registered UK PSC hitsShare
Appleby Services (Bermuda) Ltd.470.24%
Portcullis TrustNet (BVI) Limited90.05%
Mossack Fonseca & Co. (Bahamas) Limited40.02%
Christodoulos G. Vassiliades & Co. LLC10.005%

These are descriptive market-share numbers for the offshore-in-general UK PSC population. They do not answer the matched-baseline question the ICIJ analysis could not answer (whether these hubs appear at higher rates in the FCPA-defendant-adjacent subset than in the offshore-general baseline), because the ICIJ-adjacent counter in this analysis was ill-formed and returned zero (see Method Disclosures below). The descriptive numbers are still informative in one direction: Appleby appears as PSC for approximately 1 in 400 offshore-registered UK companies, which is consistent with its known market position as a major Bermuda corporate-services firm. The Vassiliades row is included for completeness. Because the FCPA-adjacency observation does not survive corporate-identity testing (see Section 04), no interpretive weight should be placed on this row beyond its descriptive fact: the firm appears once out of 1,067 Cyprus-registered corporate PSCs in the UK PSC snapshot.

Method disclosures Three limitations of this cross-corpus extension warrant explicit disclosure. First, the Q1 substring matcher produced approximately 5% name-collision false positives at the record level (example: "Labb Holdings Limited" matched the "ABB Holdings" pattern). Individual matches in the audit trail were spot-checked; the aggregate deduplicated-underlying-entity count of ~20 is robust to that noise. Second, the matched-baseline hub inference (Q2) counter for ICIJ-seed-adjacent PSCs was ill-formed and returned an empty set. This is a design error in the analysis code: the counter checked whether hub and seed appeared on the same record, but by construction a PSC record has one PSC entity. The correct measure would join records by company_number to detect UK companies with multiple PSCs. This was not implemented before the analytical run and would require a code fix and re-run. Third, the FCPA-defendant-name pattern match (Q3, 809 hits) suffers from over-permissive short substring patterns that collide with unrelated corporate names (example: "TYCO" matches "Equityco"). Q3 findings are not incorporated into this section’s claims and would need pattern tightening before publication.

What this changes about the overall report. Two things. First, the negative statistical result of the ICIJ analysis is now externally corroborated at scale by an entirely different corpus with different coverage properties. The 200x Barbados over-representation is not an artifact of one analyst’s null-model choice. It is a structural feature of the ICIJ corpus visible from outside it. Second, the entities the ICIJ analysis was working with are documented as real corporate structures with active UK reach. Weatherford’s Ireland successor is one such structure, though the connection between that reorganization and the FCPA settlement is genuinely ambiguous once the 2009 Switzerland detour is accounted for. Zimmer Biomet’s presence in UK Companies House reflects the fact that Biomet’s FCPA-liable corporate identity persisted through the 2015 Zimmer acquisition and continued to attract FCPA enforcement (the 2017 DPA extension and additional $30 million penalty). Neither case transforms the report’s negative statistical claim into a positive one. Both provide documentary substance the ICIJ-only analysis could not offer. The report’s honest scope moves from “here is why the ICIJ corpus cannot answer this question” to “here is why the ICIJ corpus cannot answer this question, and here is what a comprehensive registry does show about the underlying entities the leak flagged.”

The ICIJ leaks describe themselves. UK Companies House describes the offshore market. Both are useful. Neither alone is enough.
11 · matched-control comparison

Once the control pool is scrubbed of other FCPA defendants, the matched comparison does not distinguish FCPA defendants from non-FCPA industry peers in their ICIJ-leak footprint.

Sections 02 and 06 established that FCPA-defendant offshore incorporation shows a directional post-conduct elevation that fails Bonferroni correction, and that the direction is substantially explained by leak-coverage confounding. That still leaves an obvious peer-review question: how do we know FCPA defendants are unusual at all? Comparable multinationals might show the same ICIJ footprint. This section runs the direct test and reports a negative result.

Method

Control-pool construction and the exclusion list. For each of the 54 FCPA defendants, three non-FCPA-defendant industry peers were selected of comparable size and era. For 37 defendants, peers were manually curated to ensure industry comparability where the 2-digit SIC code was too heterogeneous (pharma versus specialty chemicals in SIC 28, ATMs versus heavy machinery in SIC 35, enterprise software versus payroll services in SIC 73, communications equipment versus semiconductors in SIC 36, medical devices versus analytical instruments in SIC 38). For 17 defendants, peers were sampled from a curated pool of large-cap US-listed non-FCPA multinationals. Peer candidates were filtered at selection time against a 197-name KNOWN_FCPA_DEFENDANTS exclusion list covering corporate FCPA defendants from both DOJ criminal and SEC civil actions across the full enforcement history, equivalent to what the Stanford Law School FCPA Clearinghouse publishes. The exclusion list was built to catch post-2013 FCPA defendants (Halliburton, Pfizer, Eli Lilly, 3M, Honeywell, United Technologies, Emerson, Cisco, Microsoft, SAP, HP, Hewlett-Packard, Alcoa, Bio-Rad, Novartis, among others) that would otherwise pass a check against only the local 54-defendant list for this analysis. 84 unique control companies result. All deterministic and reproducible.

Why this rebuild was necessary An initial build of the control pool filtered candidates only against this report’s 54-defendant list. That filter missed every corporate FCPA defendant falling outside the pre-2013 SEC Litigation Release channel, which is most of the post-2013 enforcement docket. Halliburton (FCPA defendant, $579M 2009 settlement, one of the largest in history) was selected as a “matched peer” for Weatherford. Pfizer ($60M 2012) and Eli Lilly ($29M 2012) were selected as peers for Schering-Plough. Honeywell ($160M 2022), 3M ($6.5M 2018), United Technologies ($13.9M 2018), Emerson ($19M 2020), Cisco ($8.6M 2019), Microsoft ($25M 2019), SAP, HP ($108M 2014) were selected as peers for various other defendants. Those FCPA defendants’ own offshore structures made them look like legitimate peers only by accident of what the local defendant list did not cover. On review this failed any serious construct-validity check: a matched-control comparison that lets other FCPA defendants serve as “clean” controls is not testing what it claims to test. The 197-name exclusion list was built in response and the comparison rerun. The findings below are from the clean comparison.

Matcher construction. The original Fellegi-Sunter matcher that produced the alignments used elsewhere in this report was not recoverable from the project archive at the time this section was built. A word-boundary substring matcher was written from scratch to produce the same output schema for both defendants and controls. When validated against the original defendant alignments, this matcher achieves 64.5% ICIJ-node recovery and produces higher total counts (3,650 defendant alignments vs 811 originally). What matters for this section is that the new matcher is applied uniformly to both defendants and controls: relative comparisons between groups are valid, absolute alignment counts do not correspond to figures elsewhere in this report and should not be compared to them.

Findings

Baseline hit rate: no significant difference. 44 of 54 FCPA defendants (81.5%) have at least one ICIJ alignment. 61 of 84 clean control companies (72.6%) have at least one. Fisher’s exact test: odds ratio 1.66, p=0.3072. The 8.9-percentage-point gap between defendants and clean controls is not statistically significant at any conventional threshold. This test depends only on presence-or-absence of ICIJ matches and is robust to the matcher caveat above.

Group n Any ICIJ alignment Hit rate
FCPA defendants544481.5%
Clean controls (unique companies)846172.6%
Fisher’s exact test: OR = 1.66, p = 0.3072 (not significant)

For transparency, the before-and-after on the same test with the contaminated pool: OR = 7.68, p < 0.0001 (contaminated); OR = 1.66, p = 0.3072 (clean). The 17.4-point gap in the contaminated analysis collapsed to 8.9 points once FCPA defendants were removed from the control pool. The clean-control hit rate rose from 64.1% to 72.6%, and the defendant hit rate was unchanged. The direction of the original finding reflected which companies had been counted as controls, not an underlying difference in offshore behavior.

Source-leak distribution: still highly significant, but the interpretation shifts. The distribution of alignments across ICIJ source leaks differs between defendants and clean controls at chi-square = 409.86 (df=14), p < 10-78. But in the clean comparison the pattern reads less like defendant behavior and more like archive-coverage artifact. Defendants are over-represented in the 2013 Offshore Leaks (39.0% vs 7.3% for clean controls). Defendants are under-represented in Barbados corporate registry (3.5% vs 12.4%), Malta corporate registry (4.6% vs 11.1%), and Bahamas Leaks (15.1% vs 22.1%). The direction and magnitude are consistent with the Section 06 interpretation: different ICIJ sources cover different jurisdictions across different date ranges, and the conduct periods of the pre-2013 FCPA defendants happen to align with what the 2013 Offshore Leaks surfaced. This test confirms the source-leak coverage pattern. It is not evidence of distinctive defendant behavior.

Source leak category Def % Ctrl % Direction
Offshore Leaks (2013)39.0%7.3%Def > Ctrl
Panama Papers (Mossack Fonseca, 2016)18.2%19.5%similar
Bahamas Leaks (2016)15.1%22.1%Def < Ctrl
Paradise Papers · Appleby (2017)4.4%10.1%Def < Ctrl
Paradise Papers · Barbados registry3.5%12.4%Def < Ctrl
Paradise Papers · Malta registry4.6%11.1%Def < Ctrl
Paradise Papers · Nevis registry8.2%9.2%similar
Other Paradise + Pandora subdivisions7.0%8.3%similar
Chi-square = 409.86, dof = 14, p < 10-78

Temporal distribution: collapses without Universal, same as before. On raw counts the temporal distribution differs significantly (chi-square = 41.91, df=2, p < 0.0001), with defendants showing fewer post-conduct alignments as a proportion (24.6%) than clean controls (35.7%), not more. But Universal Corporation alone contributes 2,374 of the 3,650 defendant alignments. When Universal is excluded as an outlier, the temporal distribution becomes essentially identical to clean controls (chi-square = 0.02, p = 0.99). This mirrors what Section 02 found via a different test: without the Universal name-broadness artifact, there is no temporal shift between defendants and matched peers.

Group Pre-conduct During conduct Post-conduct
Defendants (all)47.6%27.8%24.6%
Defendants (excluding Universal)42.8%21.2%36.0%
Clean controls42.8%21.5%35.7%
With Universal: chi-square = 41.91, dof = 2, p < 0.0001 (defendants have FEWER post-conduct, opposite direction)
Without Universal: chi-square = 0.02, dof = 2, p = 0.9904

What this section adds to the report

The matched-control comparison does not find a distinguishing signal. On baseline ICIJ presence, FCPA defendants (81.5%) and clean industry peers (72.6%) are statistically indistinguishable (Fisher’s p=0.31). On source-leak distribution, the two populations differ sharply, but the direction and shape of the difference match what Sections 02 and 06 established about ICIJ archive coverage rather than defendant behavior: defendants cluster in the 2013 Offshore Leaks (which covers pre-2013 BVI/Singapore intermediaries matching their conduct period) and are under-represented in post-2017 archive subdivisions (Barbados, Malta, Appleby, Bahamas Leaks). On temporal distribution, the signal collapses to indistinguishable from clean controls once the Universal name-broadness outlier is set aside, mirroring what Section 02 found in the primary analysis.

Taken together: the ICIJ corpus does not distinguish FCPA defendants from non-FCPA matched peers on any of the three dimensions tested, once the control pool is properly constructed. This is a cleaner version of the report’s central methodological finding. The archive is not up to the task of supporting the kind of comparative corporate-behavior claim the initial analysis asked of it. That negative result holds for defendants vs non-FCPA peers as directly as it held for defendants vs their own permutation null.

Not addressed in this section: the UK PSC penetration comparison (whether controls’ ICIJ-linked offshore entities appear in UK Companies House at similar rates to defendants’). Running that analysis would require a second 90-minute UK PSC stream against the clean control alignments. Left as follow-up.

FCPA defendants and their matched industry peers look the same in the ICIJ leaks. The archive cannot tell them apart.
The leaks are not the offshore market. They are what got taken from it.