arxiv: 2604.17697 · v2 · submitted 2026-04-20 · 💰 econ.GN · q-fin.EC

Recognition: unknown

Hysteresis and Selection in the Rise of Fascism: The `Ordinary Men' of the Nazi Party

Cathrin Mohr, Leander Heldring, Luis Bosshart, Matthias Weigand, Max Deter

Pith reviewed 2026-05-10 04:05 UTC · model grok-4.3

classification 💰 econ.GN q-fin.EC

keywords Nazi Party membershiphysteresisJewish deportationssocial networksrise of fascismhistorical data linkageselection effectsordinary participants

0 comments

The pith

Local increases in Nazi Party membership preceded more deportations of Jews, as early joiners created social hysteresis that recruited similar people from the same communities, workplaces, and families.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper digitizes the near-complete NSDAP membership records and links them to population and industrial censuses to track who joined the Nazi Party and when. It shows the party grew more representative of the overall German population in occupations, demographics, and religion as membership expanded. Within towns, coworker groups, and households, however, the first members generated hysteresis by drawing later entrants from the same social circles. These local membership increases also align with higher rates of subsequent Jewish deportations from those areas. A sympathetic reader would care because the results illustrate how participation in an authoritarian movement can spread through everyday social ties and correlate with concrete harmful outcomes.

Core claim

Linking digitized NSDAP membership records to censuses reveals that the party's membership became more similar to the broader population over time, while SS members stayed younger, more educated, and more fanatical. Early membership produced hysteresis within communities, coworker networks, and families, so that later joiners came disproportionately from the same groups. Local rises in party membership are associated with subsequent deportations of Jews.

What carries the argument

Hysteresis generated by early NSDAP members within communities, coworker groups, and families, identified through record linkages that show subsequent entrants drawn from the same social pools, together with the measured association between local membership growth and later deportations.

If this is right

The party's overall membership profile converged toward the average German as it grew beyond its founding core.
Distinct selection effects persisted in subgroups such as the SS, whose members remained younger, more educated, and more committed.
Social connections in workplaces, families, and towns amplified recruitment from particular demographic and occupational pools.
Areas experiencing faster local growth in party membership saw elevated subsequent deportations of Jews.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

The same hysteresis process could shape recruitment into other mass political movements where early participants influence who joins later through personal networks.
Detailed individual-level historical linkages like these could be used to study selection and spread in contemporary extremist groups.
If early joiners consistently shape later membership composition, targeted interventions at the initial stage might alter the trajectory of group growth.

Load-bearing premise

The digitized NSDAP membership records and their linkages to population and industrial censuses accurately capture the full population of members and non-members without systematic errors in matching or coverage.

What would settle it

Re-examination of the linked records revealing high rates of incorrect matches to census individuals, or independent counts showing that local membership increases do not precede deportations under alternative data sources, would undermine the reported associations and hysteresis patterns.

read the original abstract

We digitize and analyze the near-universe of National Socialist German Workers' Party (NSDAP) membership records and link them to newly digitized population and industrial censuses. Four findings emerge. First, as the party expanded, its membership came to resemble the broader population more closely in occupational, demographic, and religious terms. Second, SS members remained distinctly different: younger, more educated, and more fanatical, as proxied by membership portraits. Third, within communities, coworkers, and families, early membership generated hysteresis, with subsequent entrants drawn from the same groups. Finally, local increases in party membership are associated with subsequent deportations of Germany's Jews.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

The paper's new linked NSDAP dataset is a solid empirical step but the deportation association and hysteresis results hinge on unproven matching accuracy.

read the letter

The punchline is that this work delivers a large-scale linked dataset on Nazi party membership that lets them trace how the party broadened and who joined whom, which is new ground beyond the usual qualitative accounts. They show membership growing more representative over time, SS members staying younger and more extreme, early joiners pulling in similar people from the same workplaces and families, and a local tie between rising membership and later Jewish deportations. That combination of scale and within-group patterns is the real addition here, and the digitization effort itself looks like a genuine lift for the field. The data construction is the part that stands out as careful and ambitious on its face. The soft spot is exactly the linkage quality the stress test flags. Historical German names repeat a lot, addresses shift, and deportation lists have their own gaps, so any systematic difference in who matches cleanly by occupation or region would tilt the representativeness result, the coworker clustering test, and especially the membership-to-deportation correlation. The abstract calls the records near-universe, but without reported match rates, false-positive checks, or robustness tables that drop low-confidence links, those four findings rest on an assumption that still needs visible proof. If the full paper has a detailed appendix on the matching algorithm and sensitivity tests, that would close the gap; otherwise the deportation link in particular stays hard to trust at face value. This is for readers in political economy, extremism studies, or historical data work who want concrete numbers on party growth mechanics. It is worth a serious referee process because the dataset is novel and the questions matter, even if the current write-up needs tighter evidence on the linking step before the associations can be taken as settled.

Referee Report

2 major / 2 minor

Summary. The paper digitizes the near-universe of NSDAP membership records and links them to newly digitized population/industrial censuses and deportation lists. It reports four findings: (1) party membership became more representative of the broader German population in occupational, demographic, and religious terms as it expanded; (2) SS members remained distinct (younger, more educated, more fanatical as proxied by portraits); (3) early membership generated hysteresis, with later entrants drawn from the same communities, coworkers, and families; (4) local increases in party membership are associated with subsequent Jewish deportations.

Significance. If the data linkages hold, the results provide valuable quantitative evidence distinguishing selection from hysteresis in authoritarian party recruitment and linking local party presence to persecution outcomes. The digitization effort itself strengthens the empirical basis for studying the social foundations of the Nazi regime in economic history and political economy.

major comments (2)

[§3 (Data construction and linkage)] §3 (Data construction and linkage): The manuscript states that the records are 'near-universe' and newly digitized with linkages to censuses and deportation lists, but provides no quantitative matching accuracy metrics (false-positive/false-negative rates, sensitivity to name variants or geocoding thresholds, or robustness checks dropping low-confidence matches). Historical German records feature common names and incomplete coverage; any differential success by occupation, religion, or region would directly bias the representativeness result, the coworker/family clustering test, and the membership-deportation association. This assumption is load-bearing for all four findings.
[§5 (Hysteresis and association results)] §5 (Hysteresis and association results): The within-group hysteresis and local membership-to-deportation estimates rest on the accuracy of the individual-level linkages. Without reported error rates or alternative matching algorithms, it is not possible to assess whether the reported patterns reflect true social processes or artifacts of differential matching success.

minor comments (2)

[Abstract] The abstract and introduction could more explicitly state the exact time windows covered by the membership expansion analysis and the deportation associations.
[Tables/Figures] Table or figure captions for the representativeness comparisons should clarify the exact census years and occupational classifications used.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading and constructive comments on our manuscript. We address each major comment below and will revise the paper accordingly.

read point-by-point responses

Referee: The manuscript states that the records are 'near-universe' and newly digitized with linkages to censuses and deportation lists, but provides no quantitative matching accuracy metrics (false-positive/false-negative rates, sensitivity to name variants or geocoding thresholds, or robustness checks dropping low-confidence matches). Historical German records feature common names and incomplete coverage; any differential success by occupation, religion, or region would directly bias the representativeness result, the coworker/family clustering test, and the membership-deportation association. This assumption is load-bearing for all four findings.

Authors: We agree that explicit validation of the linkage process is important given the nature of historical German records. Section 3 describes the digitization of official NSDAP membership cards and the deterministic linkage to censuses and deportation lists using names, birth dates, and locations, but we did not report quantitative error metrics or extensive sensitivity checks. In the revised manuscript we will add a dedicated subsection and appendix that details the matching algorithm, reports robustness to alternative name standardization and geocoding thresholds, and includes checks for differential match success by occupation, region, and religion using available validation subsamples. We will also present core results under stricter matching criteria to demonstrate that the four findings are not sensitive to these choices. revision: yes
Referee: The within-group hysteresis and local membership-to-deportation estimates rest on the accuracy of the individual-level linkages. Without reported error rates or alternative matching algorithms, it is not possible to assess whether the reported patterns reflect true social processes or artifacts of differential matching success.

Authors: We concur that the hysteresis results (within communities, coworkers, and families) and the membership-deportation associations in Section 5 depend on linkage quality. The revisions described in response to the data-construction comment will directly strengthen these estimates by documenting matching robustness and by showing that the key patterns persist under alternative specifications. This will allow readers to evaluate whether the reported social processes are likely to be artifacts of differential matching. revision: yes

Circularity Check

0 steps flagged

No circularity: empirical findings from record linkage and descriptive analysis

full rationale

The paper reports four findings obtained by digitizing NSDAP membership records, linking them to population/industrial censuses and deportation lists, and computing direct empirical associations and descriptive statistics. No equations, fitted parameters presented as out-of-sample predictions, or self-citation chains appear in the abstract or described structure. The claims (representativeness, SS distinctiveness, within-group hysteresis, membership-deportation association) are observational patterns extracted from the linked data rather than quantities that reduce to the inputs by construction. Data-linkage accuracy is a validity concern, not a circularity issue.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The four findings rest on the accuracy of historical record digitization and probabilistic or deterministic linking to censuses; these are standard but untested domain assumptions when only the abstract is available.

axioms (2)

domain assumption Digitized NSDAP membership records and linked censuses contain no large systematic errors in coverage or matching.
Required for all claims about representativeness, SS differences, hysteresis, and deportation associations.
domain assumption Temporal ordering of membership growth and deportations allows valid association claims.
Invoked by the final finding on local increases preceding deportations.

pith-pipeline@v0.9.0 · 5422 in / 1386 out tokens · 32974 ms · 2026-05-10T04:05:41.982926+00:00 · methodology

discussion (0)

Reference graph

Works this paper leans on

32 extracted references · 2 canonical work pages

[1]

1938.Why Hitler Came into Power.Reissued with a new foreword by Harvard University Press,

Abel, Theodore. 1938.Why Hitler Came into Power.Reissued with a new foreword by Harvard University Press,

1938
[2]

Acemoglu, Daron, and James A

New York: Prentice-Hall. Acemoglu, Daron, and James A. Robinson. 2006.Economic Origins of Dictatorship and Democracy. Cambridge: Cambridge University Press. Adena, Maja, Ruben Enikolopov, Maria Petrova, Veronica Santarosa, and Ekaterina Zhuravskaya

2006
[3]

Radio and the Rise of the Nazis in Prewar Germany

“Radio and the Rise of the Nazis in Prewar Germany”.The Quarterly Journal of Economics 130 (4): 1885–1939. Alesina, Alberto, Paola Giuliano, and Bryony Reich

1939
[4]

Nation-building and Education

“Nation-building and Education”.The Economic Journal131 (638): 2273–2303. Allen, William Sheridan. 1984.The Nazi Seizure of Power: The Experience of a Single German Town, 1922–1945.Revised. New York: Franklin Watts. Arendt, Hannah. 1951.The Origins of Totalitarianism.New York: Harcourt, Brace. . 1963.Eichmann in Jerusalem: A Report on the Banality of Evil...

1984
[5]

From the ‘Death of God’ to the Rise of Hitler

“From the ‘Death of God’ to the Rise of Hitler.” IZA Discussion Paper No. 16538. Blackbourn, David, and Geoff Eley. 1984.The Peculiarities of German History: Bourgeois Society and Politics in Nineteenth-Century Germany.Oxford: Oxford University Press. Boberach, Heinz

1984
[6]

Amtsbezeichnungen und R¨ange in der staatlichen Verwaltung, der Wehrma- cht, der NSDAP und anderen Organisationen 1940–1945

“Amtsbezeichnungen und R¨ange in der staatlichen Verwaltung, der Wehrma- cht, der NSDAP und anderen Organisationen 1940–1945.” In ¨Amter, Abk¨ urzungen, Aktionen des NS-Staates,edited by Werner R ¨oder and Christoph Weisz. M¨unchen: K. G. Saur. Boehnert, Gunnar Charles

1940
[7]

A Sociography of the SS Officer Corps, 1925–1939

“A Sociography of the SS Officer Corps, 1925–1939.” PhD diss., University of London. Bowles, Samuel, and Herbert Gintis. 2011.A Cooperative Species: Human Reciprocity and Its Evolution. Princeton: Princeton University Press. Bracher, Karl Dietrich. 1955.Die Aufl¨ osung der Weimarer Republik: Eine Studie zum Problem des Machtver- falls in der Demokratie.St...

1925
[8]

Going Viral: Propaganda, Persuasion and Polarization in 1932 Hamburg

“Going Viral: Propaganda, Persuasion and Polarization in 1932 Hamburg.” Conditionally ac- cepted, Journal of the European Economic Association. 31 Cantoni, Davide, Yuyu Chen, David Y. Yang, Noam Yuchtman, and Y. Jane Zhang

1932
[9]

Curricu- lum and Ideology

“Curricu- lum and Ideology”.Journal of Political Economy125 (2): 338–392. Cesarani, David. 2004.Becoming Eichmann: Rethinking the Life, Crimes, and Trial of a “Desk Murderer”. New York: Da Capo Press. Childers, Thomas. 1983.The Nazi Voter: The Social Foundations of Fascism in Germany, 1919–1933. Chapel Hill: University of North Carolina Press. Doerr, Seba...

2004
[10]

Financial Crises and Political Radicalization: How Failing Banks Paved Hitler’s Path to Power

“Financial Crises and Political Radicalization: How Failing Banks Paved Hitler’s Path to Power”.The Journal of Finance77 (6): 3339–3372. DWS-XIP. 2025.SS Biographical Database: Personnel Listed in the SS-Verordnungsblatt.Database of ap- proximately 50,000 SS members with rank, NSDAP number, and promotion history, compiled from theSS-Verordnungsblattand re...

2025
[11]

Betting on Hitler—The Value of Political Con- nections in Nazi Germany

“Betting on Hitler—The Value of Political Con- nections in Nazi Germany”.The Quarterly Journal of Economics123 (1): 101–137. Fischer, G ¨unther, Freddy O. Nachtergaele, H. van Velthuizen, F. Chiozza, G. Francheschini, M. Henry, D. Muchoney, and S. Tramberend. 2021.Global Agro-Ecological Zones (GAEZ v4) – Model Documentation.https://doi.org/10.4060/cb4744e...

work page doi:10.4060/cb4744en 2021
[12]

Auster- ity and the Rise of the Nazi Party

“Auster- ity and the Rise of the Nazi Party”.The Journal of Economic History81 (1): 81–113. Goebbels, Joseph. 2006.Die Tageb¨ ucher von Joseph Goebbels. Teil I: Aufzeichnungen 1923–1941, Band 2/III: Oktober 1932 – M¨ arz 1934.Edited by Angela Hermann and Elke Fr¨ohlich. Munich: K. G. Saur. Goldhagen, Daniel Jonah. 1996.Hitler’s Willing Executioners: Ordin...

2006
[13]

Ursachen des Nationalsozialismus

“Ursachen des Nationalsozialismus”. InAus Politik und Zeitgeschichte,vol. B 25, 3–15. Kunz, Andreas, ed. 1999.Statistik der Binnenschiffahrt in Deutschland 1835–1989.Vol

1999
[14]

Kathari- nen: Scripta Mercaturae

St. Kathari- nen: Scripta Mercaturae. Longerich, Peter. 2012.Heinrich Himmler.Oxford: Oxford University Press. Mann, Michael. 2004.Fascists.Cambridge: Cambridge University Press. Merkl, Peter H. 1975.Political Violence Under the Swastika: 581 Early Nazis.Princeton: Princeton University Press. Milgram, Stanley

2012
[15]

Behavioral Study of Obedience

“Behavioral Study of Obedience”.Journal of Abnormal and Social Psychology 67 (4): 371–378. . 1974.Obedience to Authority: An Experimental View.New York: Harper & Row. Mommsen, Hans. 1991.Der Nationalsozialismus und die deutsche Gesellschaft: Ausgew¨ ahlte Aufs¨ atze. Reinbek bei Hamburg: Rowohlt. Moore, Barrington, Jr. 1966.Social Origins of Dictatorship ...

1974
[16]

Education or Indoctrination? The Violent Origins of Public School Systems in an Era of State-Building

“Education or Indoctrination? The Violent Origins of Public School Systems in an Era of State-Building”.American Political Science Review116 (4): 1242–1257. Peukert, Detlev J. K. 1987.Inside Nazi Germany: Conformity, Opposition, and Racism in Everyday Life. London: Batsford. . 1992.The Weimar Republic: The Crisis of Classical Modernity.New York: Hill / Wa...

1987
[17]

Rosenberg, Hans

Cambridge, MA: Harvard University Press. Rosenberg, Hans. 1958.Bureaucracy, Aristocracy and Autocracy: The Prussian Experience, 1660–1815. Cambridge, MA: Harvard University Press. Sanchez de la Sierra, Raul, Jenny Guardado, Marius L´eonard, and Elaine Zeballos

1958
[18]

Bowling for Fascism: Social Capital and the Rise of the Nazi Party

“Bowling for Fascism: Social Capital and the Rise of the Nazi Party”.Journal of Political Economy125 (2): 478–526. 33 Stangneth, Bettina. 2014.Eichmann Before Jerusalem: The Unexamined Life of a Mass Murderer.New York: Knopf. Steinmetz, George

2014
[19]

German Exceptionalism and the Origins of Nazism: The Career of a Concept

“German Exceptionalism and the Origins of Nazism: The Career of a Concept”. InThe Historic Turn in the Human Sciences,edited by Terrence J. McDonald, 251–284. Ann Arbor: University of Michigan Press. Tracing the Past e.V . 2018.Mapping the Lives: The 1939 German Minority Census and the List of Jewish Residents in the German Reich 1933–1945.https://www.map...

2018
[20]

Highway to Hitler

“Highway to Hitler”.American Economic Journal: Applied Economics18 (1): 120–159. Waller, James. 2002.Becoming Evil: How Ordinary People Commit Genocide and Mass Killing.Oxford: Oxford University Press. Zimbardo, Philip. 2007.The Lucifer Effect: Understanding How Good People Turn Evil.New York: Random House. 34 A Data A.1 Data Source The NSDAP membership c...

2002
[21]

small” or “large

instructs the model to transcribe all visible text, preserve original German spelling, and annotate illegible or struck-through entries. Disambiguation rules separate the occupation field (Beruf/Stand) from marital status (Familienstand). A.3 Variables Extracted Table A.2 describes the fields extracted from each card image. Fill rates are conditional on t...

1925
[22]

(NSDAP)” are computed from individual membership records aggregated to the re- spective geographic level. “(Census)

Variables labeled “(NSDAP)” are computed from individual membership records aggregated to the re- spective geographic level. “(Census)” variables are employment shares from the 1925Berufsz¨ ahlung. Protestant Prob. is the municipality-level Protestant share, constructed by combining 1925 census county shares with municipal-level church counts from the Mey...

1925
[23]

Ich wurde nach 14 j¨ ahriger ununterbrochenen Arbeitszeit arbeits- und brotlos gemacht

with direct observation of religious denomination.Λ>1 indicates a name more common among Protestants;Λ<1 more common among Catholics.Nis the number of observations with recorded denomination. Figure A.6 validates the name component of the classification. We hold out 20 percent of parish register books entirely and estimate name-specific Protestant shares ...

2026
[24]

A 0.5% county-clustered sample identifies the unweighted cross-county estimator and does not identify the population-weighted estimator. The three starred rows in Panel B — Protestant, Agriculture, and Self-Employed — mark char- acteristics for which Falter (1991) reports NSDAP over-representation in Protestant, agrarian, and Mittelstand communities. The ...

1991
[25]

Later Joining Share (1933−1939) Note.Municipalities bucketed by cumulative NSDAP members through

1933
[26]

Bars show the mean share of the remaining 1933 population that joins during 1933–1939, with 95% confidence intervals. A.17 Figure B.3: Cross-Wave Persistence of Municipal Mobilisation 0 5 10 0 5 10 Pre−ban entry rate (log scale, per 1,000) Post−ban entry rate (log scale, per 1,000) Note.Municipal NSDAP entry rates in the 12 months preceding the admissions...

1933
[27]

PanelBis identical to the main-text Panel B

PanelAplots∆ g,between k using anunweightedcross-county mean ¯xk =C −1 ∑c xck in place of the denominator-consistent population-weighted benchmark used in the main text. PanelBis identical to the main-text Panel B. NSDAP (g=N) in red, SS (g=S) in grey. Values in percentage points; error bars show 95% confidence intervals with standard errors clustered at ...

1933
[28]

Error bars show 95% confidence intervals

Six characteristics shown: Young Adult (18–34), PhD, Nobility, Protestant, Blue-Collar, and Early Joiner (pre-1933). Error bars show 95% confidence intervals. A.20 Table B.1: The March 1933 Wave: Pre-March Membership Composition Female Agric. Admin/Svc Trade Industry Protest. Blue-Coll. Self-Empl. Joint NSDAP membership share(1) (2) (3) (4) (5) (6) (7) (8...

1933
[29]

Post March 1933t equals one from March 1933 onward

Dependent variable: municipal NSDAP membership share. Post March 1933t equals one from March 1933 onward. Columns 1–8 interact Post with a binary indicator for whether municipalitym lies above the cross-municipality median on the indicated share of its pre-March members, controlling for Post×Any NSDAP Member. The Protestant share is the mean of the indivi...

1933
[30]

Col- umn 1 interacts Post March 1933 t with a binary indicator for whether municipalitymhad at least one SA member who joined before March 1933; column 2 does the same for the SS

Dependent variable: municipal NSDAP membership share. Col- umn 1 interacts Post March 1933 t with a binary indicator for whether municipalitymhad at least one SA member who joined before March 1933; column 2 does the same for the SS. Both columns control for Post×Any NSDAP Member. SA and SS flags are constructed from the individual-level paramilitary indi...

1933
[31]

Bundesarchiv

New York: Prentice-Hall. Bundesarchiv. 2012.Gedenkbuch — Opfer der Verfolgung der Juden unter der nationalsozialistischen Gewaltherrschaft in Deutschland 1933–1945.https://www.bundesarchiv.de/gedenkbuch/. Carlson, Jacob, and Melissa Dell

2012
[32]

A Unifying Framework for Robust and Efficient Inference with Unstructured Data,

“A Unifying Framework for Robust and Efficient Inference with Unstructured Data”.arXiv preprint arXiv:2505.00282. DWS-XIP. 2025.SS Biographical Database: Personnel Listed in the SS-Verordnungsblatt.Database of ap- proximately 50,000 SS members with rank, NSDAP number, and promotion history, compiled from theSS-Verordnungsblattand related personnel orders....

work page arXiv 2025