43% of all crime? We could not verify that claim TALLYCAT01 / Evidence over influence Original Instagram publication: 11 October 2026 Website publication: 11 October 2026 Evidence checked: 11 October 2026 The official figures we checked count police records about suspects, not all crimes committed. We found no matching official figure supporting the post's 43% claim. Real police statistics are presented as shares of crimes committed and compared with a different population. The 43% all-crime assertion is unsupported by the matching recovered evidence. This is a finding about meaning and comparison, not intention. This analysis uses official 2024 police tables and final census counts, retrieved and independently recalculated on 11 October 2026. Percentages are our calculations from matching published counts. No person-level data, matched resident rate or causal model was used. The accompanying timeline is compiled context, not independent proof. SOURCES C1 / Original written caption by Mees Wynants Mees Wynants on Instagram https://www.instagram.com/meeswynants/reel/DePUnp7DptC/ The claim under review, including its later street-robbery qualification. Written caption and publication time checked on the original rendered page. Full speech not independently transcribed. S1 / Police activity and public security: annual report for 2024, Doc. XXXVIII n. 3 Italian Ministry of the Interior, hosted by the Chamber of Deputies https://www.camera.it/temiap/2025/11/18/OCD177-8589.pdf Printed pages 5 and 8, PDF pages 6 and 9: overall reports and their matching foreign-citizenship counts. Printed page 6: separate robbery and theft figures. Complete report downloaded on 11 October 2026; relevant pages and footnotes visually inspected. Keep this report separate from the later Istat extraction. S2 / 2024 presumed-offender entries: published totals, flow 73_230 version 1.0 Istat https://esploradati.istat.it/SDMXWS/rest/data/IT1,73_230,1.0/A.IT.OFFEND..9.TOTAL..?startPeriod=2024&endPeriod=2025 Raw national OFFEND observations. Our percentages divide foreign-citizenship entries by all citizenships in the same category. Downloaded on 11 October 2026 using Accept: text/csv. Query requested 2024 to 2025 but returned only 2024. Flow LAST_UPDATE is 4 February 2026, 15:39:09.284 UTC; not an observation-level extraction date. S3 / Censimento e dinamica della popolazione: Anno 2024 Istat https://www.istat.it/wp-content/uploads/2025/12/Censimento-e-dinamica-della-popolazione-Anno-2024.pdf Final census counts: page 2, Prospetto 1, all residents; page 6, Prospetto 4, foreign residents. Final release downloaded and relevant pages visually checked. Earlier provisional population counts are not substituted. S4 / Foreign resident population: glossary Istat https://demo.istat.it/app/?i=STR Glossario definitions of Popolazione straniera residente and Straniero dimorante abitualmente. Saved on 11 October 2026. Registered habitual residence and citizenship are different from ethnicity, birth country and temporary presence. S5 / Attached metadata: presumed offenders and victims, DCCV_AUTVITTPS Istat https://esploradati.istat.it/METADATA_API/api/getMetadata?metadataSetId=MS_ISTAT_TOPMETA2&reportId=DCCV_AUTVITTPS&nodeId=DW OTHER_DATA_CHARACTERISTIC describes repeated counts, police recording and the absence of subsequent judicial outcomes. Metadata message prepared 14 February 2025; retrieved 11 October 2026. This attached metadata governs the interpretation used here. S6 / Earlier reporting with the 43%, 60% and 69% pattern Remix News https://rmx.news/article/italy-foreigners-commit-43-of-sexual-crimes-60-of-robberies-and-thefts/ Reporting-chain lead only. Its 43% refers to sexual offences, not all crime. Not used as raw crime data or as proof of the Instagram creator's actual source. Last update shown as 4 November 2025 at 16:34. S7 / SDMX service documentation Istat https://www.istat.it/classificazioni-e-strumenti/web-services-sdmx/ Official access route for downloading data and structure files. For CSV, use the HTTP Accept header text/csv. A browser may otherwise show XML. S8 / Demographic dataflow and codelists, version 1.0 Istat https://esploradati.istat.it/SDMXWS/rest/dataflow/IT1/73_230_DF_DCCV_AUTVITTPS_1/1.0?references=all Labels for the offence, sex, age and citizenship codes; paired with the preserved demographic crosscheck data. Retrieved 11 October 2026. LAST_UPDATE is 19 December 2025, 09:06:34.862 UTC. Absence of an unknown-category row is not assumed to mean zero. D1 / Preserved Istat raw totals, retrieved 11 October 2026 Istat; local evidence copy /downloads/italy-crime-what-the-numbers-count-raw-totals.csv Byte-preserved raw statistical service response. The public endpoint can change. This copy fixes the observations used here. D2 / Selected source rows TALLYCAT01 selection from Istat /downloads/italy-crime-what-the-numbers-count-selected-rows.csv 18 original rows for six offence categories; original fields and values retained. A subset derived from the raw download, not a separate official release. D3 / Recalculation and source package TALLYCAT01 with attributed Istat data /downloads/italy-crime-what-the-numbers-count-recalculate.zip Original totals, demographic data, structures, attached metadata, selected rows, hashes, method and Python calculation recipe. No personal records, stock originals, internal correspondence or claim screenshot included. IMAGE CREDIT Polizia vehicle in traffic, Traversetolo, Parma, Italy columbo.photog/Shutterstock.com https://www.shutterstock.com/image-photo/traversetolo-parma-itally-november-6th-2024-2542871045 Shutterstock Standard Image License https://www.shutterstock.com/license Archive context only Research and production assisted by AI