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Hiring discrimination and blind CVs: what the data says (2026)

Published 26 July 2026 · Updated 26 July 2026 · Erwan André, DirtyLab

With strictly identical CVs, an application whose name suggests North-African origin is called back 31.5% less often than a French-sounding one (22.8% positive replies against 33.3%), according to the field experiment run for DARES, the French Ministry of Labour's statistics office, across some forty large companies (2016). Yet the only large-scale French evaluation of the anonymous CV — the 2009-2011 experiment run with the public employment service — produced a paradox: among volunteer companies, anonymization widened the interview gap instead of narrowing it. That is one of the reasons the 2006 legal obligation was never enforced, and was dropped in 2015. Here are the exact figures, with sources, and what they mean for bias-free hiring in 2026.

A note on scope: the evidence below is French. That is deliberate — France is where blind hiring has been measured most rigorously, through state-run correspondence studies and a randomised evaluation published in a peer-reviewed economics journal. The mechanisms travel; the numbers are French.

How large is hiring discrimination by origin?

It is measured and documented, not merely reported. The correspondence study conducted for DARES across around forty large companies (applications sent from April to July 2016, 1,500 tests and 3,000 applications) shows that, at strictly equivalent CV, an application with a North-African-sounding name is called back 31.5% less often than a French-sounding one: 22.8% positive replies against 33.3%. In practical terms, it takes about 1.5 times more applications to obtain the same number of replies. Of the 40 companies tested, 12 showed a statistically significant gap to the detriment of "North-African" candidates (from 15 to 35 percentage points depending on the company).

The picture has not improved. According to the 18th barometer published by the Défenseur des droits (France's equality ombudsman) with the ILO in December 2025, covering 2016-2024, people perceived as Black, Arab or North-African are 2.8 times more likely to report having experienced discrimination while job-hunting than people perceived as white — against 2.2 times in 2016, a deterioration. More broadly, 35% of respondents report unfavourable or discriminatory treatment over the past five years, and more than 9 working people out of 10 believe discrimination exists in employment.

A methodological caveat: a correspondence study measures objective behaviour (the callback rate), whereas a barometer measures perceived and self-reported discrimination. The two approaches are complementary, and they converge.

Do blind CVs actually reduce discrimination? The French paradox

Not automatically — and the result is counter-intuitive. The only large-scale French evaluation of the anonymous CV was run through the public employment service between 2009 and 2011 by Luc Behaghel, Bruno Crépon and Thomas Le Barbanchon, covering 598 job openings and 1,268 candidates; the results were published in the American Economic Journal: Applied Economics (2015).

The paradoxical finding: making CVs anonymous widened the interview-access gap between non-minority and minority candidates, from 2.4 points to 13 percentage points. Within that scheme, anonymization actively hurt candidates of immigrant background or living in disadvantaged neighbourhoods.

The authors explain this "anonymous CV paradox" through two mechanisms, which deserve to be quoted honestly:

  • Employer self-selection. Participation was voluntary: the companies that signed up were probably among the least discriminatory to begin with. Anonymity may have neutralised a form of positive discretion they were already applying.
  • Loss of context. Without a name or an address, a recruiter could no longer soften a negative signal — a gap in the career path, for instance, previously read in light of the candidate's neighbourhood.

The same evaluation also qualifies the effect on gender, and precision matters here: anonymization did neutralise recruiters' tendency to favour candidates of their own sex (or age) — but since recruiters were of both sexes, those effects cancelled each other out. On aggregate, blind CVs did not improve the odds of women or older candidates. The authors concluded that "generalising the anonymous CV does not appear justified". The lesson is therefore not "blind CVs are useless", but that their effect depends on the scope (voluntary or systematic), on the type of bias targeted, and on the rest of the hiring process.

Why was the 2006 blind-CV mandate abandoned?

Because it was never implemented. The Equal Opportunities Act of 31 March 2006 (article 24) created article L. 1221-7 of the French Labour Code, requiring companies with more than fifty employees to review applications "under conditions preserving the anonymity" of the candidate. But the implementing decree was never issued, so the obligation never came into force.

The timeline, as recounted by the Conseil d'État (France's supreme administrative court):

  • 9 July 2014 — the Conseil d'État orders the Prime Minister to issue the missing decree.
  • 17 August 2015 — article 48 of the "social dialogue and employment" act amends article L. 1221-7: the blind CV becomes optional. Applications "may be reviewed under conditions preserving anonymity", rather than must be.
  • 4 November 2015 (decision no. 387014) — the Conseil d'État rejects a request for a penalty payment against the State: with the obligation gone, the 2014 injunction is moot.

Today the blind CV is therefore a practice left to each employer's discretion, not a legal requirement.

What does this mean for bias-free hiring in 2026?

Three practical lessons come out of the figures:

  • Discrimination is real and persistent. It is not a matter of isolated perception: it is measured by correspondence testing (−31.5% callbacks) and confirmed by the Défenseur des droits – ILO barometer.
  • Anonymization is not a silver bullet on its own. The best-documented mechanism is neutralising identifying signals at the initial screening stage. But the French evaluation is a reminder that the net effect depends on scope (voluntary or systematic) and on the rest of the process: taken in isolation, it is not enough. It is most relevant when applied systematically and paired with a structured framework — scoring grids and objective, job-related criteria.
  • There is an independent data-protection argument. France's data protection authority, the CNIL, points out that in recruitment the principle of data minimisation allows collecting only data with a direct and necessary link to the job and to assessing skills. Nationality, family situation or a photograph are not used to judge someone's ability to do the job — and the CNIL has already issued a formal notice against a company for excessive collection (place of birth, nationality, family situation, past salaries).

Pseudonymizing a CV at the screening stage — removing the name, the photo, the contact details and named employers — therefore serves two goals at once: reducing exposure to bias on the most sensitive signals, and aligning the shortlisting phase with the data-minimisation principle. That is precisely what a tool like BlindCV does (genuine technical removal of the text, zero CV storage) — provided it is embedded in a structured hiring process rather than treated as an isolated gesture.

Key figures — hiring discrimination and blind CVs (verified sources)

IndicatorFigureSource (year)
Callback rate, North-African vs French-sounding name (equivalent CV)−31.5% (22.8% against 33.3%)DARES, test across 40 large companies (2016)
Applications needed for the same number of replies≈ 1.5 times moreDARES (2016)
Companies tested showing a significant gap12 out of 40 (gap of 15 to 35 points)DARES (2016)
Likelihood of reporting discrimination (perceived Black/Arab/North-African, job search)2.8 times higher (against 2.2 in 2016)Défenseur des droits – ILO, 18th barometer (2025)
People reporting unfavourable or discriminatory treatment over 5 years35%Défenseur des droits – ILO (2025)
Effect of the blind CV on the interview-access gap (volunteer companies)Gap widened from 2.4 to 13 pointsBehaghel, Crépon, Le Barbanchon, AEJ: Applied Economics (2015)
Scope of the public employment service experiment598 openings / 1,268 candidates (2009-2011)Behaghel et al. / J-PAL (2015)
Legal status of the blind CV in FranceOptional since the act of 17 August 2015Conseil d'État / Légifrance, art. L. 1221-7

Frequently asked questions

Are blind CVs mandatory in France in 2026?

No. Since article 48 of the act of 17 August 2015, the blind CV is optional (article L. 1221-7 of the Labour Code). The obligation introduced in 2006 for companies with more than fifty employees never received its implementing decree and was abandoned.

Do blind CVs really reduce discrimination?

The evidence is nuanced. The only large French evaluation (public employment service, 2009-2011) produced a paradox: among volunteer companies, anonymization widened the interview-access gap for candidates of immigrant background, from 2.4 to 13 points. It did not improve the average odds of women or older candidates either. Its effectiveness depends on the scope and on the wider hiring process.

How big is the callback gap by origin?

According to the 2016 DARES correspondence study across some forty large companies, an application with a North-African-sounding name is called back 31.5% less often than an equivalent French one (22.8% against 33.3%). It takes roughly 1.5 times more applications to obtain the same number of replies.

What does the CNIL say about the data on a CV?

The CNIL applies the data-minimisation principle: a recruiter may only collect data with a direct and necessary link to the job and to assessing skills. Information such as nationality, family situation or past salaries is not justified for judging someone's ability to do the job, and the CNIL has already issued a formal notice against a company for excessive collection.

Is a blind CV the same thing as pseudonymization?

The idea is close: removing identifying elements (name, photo, contact details, named employers) at the screening stage to neutralise bias. Pseudonymization insists on genuine technical removal of the data — not a visual mask — so that the information cannot still be extracted from the file.

Sources

Read next: Anonymization vs pseudonymization under the GDPR · CV anonymization tools compared

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