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1School of Psychology, Keele University, Keele, UK
2Department of Cognitive, Psychological, and
Pedagogical Sciences, University of Messina,
Messina, Italy
3Department of Psychology and Cognitive Science,
University of Trento, Trento, Italy
4School of Psychology, University of Sussex,
Sussex, UK
5Department of Psychology, University of Fribourg,
Fribourg, Switzerland
Correspondence
Jais Adam-Troian, School of Psychology, Keele
University, 1.11 Dorothy Hodgkin Building, Keele,
Newcastle ST5 5BG, UK.
Email: j.adam-troian@keele.ac.uk and Troian.jais@
gmail.com
Abstract
Conspiracy Beliefs (CB) are a key vector of violent extrem-
ism, radicalism and unconventional political events. So far,
social-psychological research has extensively documented
how cognitive, emotional and intergroup factors can promote
CB. Evidence also suggests that adherence to CB moves
along social class lines: low-income and low-education are
among the most robust predictors of CB. Yet, the poten-
tial role of precarity—the subjective experience of permanent
insecurity stemming from objective material strain—in shaping
CB remains largely unexplored. In this paper, we propose for
the first time a socio-functional model of CB. We test the
hypothesis that precarity could foster increased CB because
it undermines trust in government and the broader politi-
cal ‘elites’. Data from the World Value Survey (n = 21,650;
Study 1, electoral CB) and from representative samples from
polls conducted in France (n = 1760, Study 2a, conspiracy
mentality) and Italy (n = 2196, Study 2b, COVID-19 CB),
corroborate a mediation model whereby precarity is directly
and indirectly associated with lower trust in authorities and
higher CB. In addition, these links are robust to adjustment
on income, self-reported SES and education. Considering
precarity allows for a truly social-psychological understand-
ing of CB as the by-product of structural issues (e.g. grow-
ing inequalities). Results from our socio-functional model
suggest that implementing solutions at the socio-economic
level could prove efficient in fighting CB.
KEYWORDS
conspiracy beliefs, ontological insecurity, precarity, socio-functional, trust
ARTICLE
Of precarity and conspiracy: Introducing a
socio-functional model of conspiracy beliefs
Jais Adam-Troian1 | Maria Chayinska2 | Maria Paola Paladino3 |
Özden Melis Uluğ4 | Jeroen Vaes3 | Pascal Wagner-Egger5
DOI: 10.1111/bjso.12597
Received: 7 October 2021 Accepted: 26 October 2022
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and
reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
© 2022 The Authors. British Journal of Social Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.
Br J Soc Psychol. 2022;00:1–24. wileyonlinelibrary.com/journal/bjso 1
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INTRODUCTION
The 2010–2020 decade has affected Western societies with political events propelled in part by conspiracy
beliefs. Conspiracy beliefscan be defined as explanations of events involving a plot organized by powerful
individuals pursuing a malevolent agenda (Keeley, 1999). Research on the renewal of domestic far-right
and Islamist terrorism (START, 2021), the election of hardline right-populist leaders in several countries
(e.g. Hungary, Poland, United States), the United Kingdom's 2016 referendum leading to its breakaway
from the EU (i.e. ‘Brexit’) and the unprecedented wave of ‘Yellow Vests’ riots that shook France in 2018
(Mahfud et al., 2021; Wagner-Egger et al., 2022) systematically highlighted the key role of conspiracy
beliefs. These conspiracies typically involve beliefs regarding the involvement of ‘corrupt’ Jewish bankers,
the ‘Satanistic’ global elite or an alleged planned ‘Great Replacement’ of European natives by Muslim
immigrants orchestrated by pro-immigration politicians (Barbier et al., 2021; Jolley et al., 2021; Kofta
et al., 2020; Obaidi et al., 2021; Rousis et al., 2020). The 2021 Capitol attack in the United States was also
motivated by the belief that the 2020 elections were rigged in favour of the Democratic party (Barry &
Frenkel, 2021).
Social-psychological research has demonstrated that conspiracy beliefs can be seen as the by-product
of intuitive reasoning (Swami et al., 2014), conflictual intergroup relations (Biddlestone et al., 2020),
maladaptive coping strategies (Marchlewska et al., 2021), uncertainty, distrust (van Mulukom et al.,
2022; Wagner-Egger et al., 2022) and cultural environments that promote these factors (Adam-Troian,
Wagner-Egger, et al., 2020). Moreover, a substantial part of the literature has highlighted that conspiracy
beliefs and mentality is favoured by pathological factors such as anxiety, paranoia and schizotypy as well
as political factors such as perceived powerlessness and anomie (see Goreis & Voracek, 2019). Political
science research conducted in the United States even points at specific elements of local cultures that
favour the emergence of conspiracy beliefs, such as a paranoid style among mass opinion (Oliver &
Wood, 2014) or ethnic prejudice (Morgan & Lee, 2019).
More than simple beliefs reflecting individual attitudes towards a given group (suspected of conspir-
ing against the ingroup), conspiracy beliefs fulfil different functions and can be thought of as expressions
of various motives crystallized in a single narrative. Conspiracy beliefs can help protect the individual
self by deflecting blame from personal failure; they can buffer threats to the relational self by increasing
social support through the expression of concerns shared by group members, and simultaneously serve
to defend the collective self by blaming outgroups (Biddlestone et al., 2021), which explains the common
antisemitic trope of many conspiracy narratives (but see Kofta et al., 2020). In fact, recent evidence
suggests that events, which prompt control threats (e.g. reminders of historical trauma) may lead individ-
uals from victimized groups to mobilize antisemitic conspiracy beliefs as a way to cope by increasing the
illusion that at least some other group in society (i.e. Jewish people) is in control (Skrodzka et al., 2022).
In addition to control motives, the need for a positive social identity may also foster conspiracy beliefs
against outgroups (Grzesiak-Feldman & Kaminska-Feldman, 2005; Mashuri & Zaduqisti, 2014).
Moreover, conspiracy beliefs provide an insight into how the individual self relates to an ingroup
embedded in a history of relations with other outgroups. As an illustration, case studies on the conspiracy
narratives surrounding the war in Kosovo highlighted how Serbs' construction of NATO's intervention
in this country as a ‘Western’ conspiracy took root in their imagined historical intergroup relations. For
instance, these often drew upon the Fourth Crusade, during which a European army supposed to retake
Jerusalem from Muslims ended up sacking Constantinople (Brown & Theodossopoulos, 2003).
Echoing these relational features, endorsement of these various conspiracy theories seems to be polar-
ized along social class lines (Douglas et al., 2019). This is reflected in the finding that low-income and
low-education are robust predictors of conspiracy beliefs (Uscinski, 2020; van Prooijen, 2017). Although
they are crucial to understanding support for populist leaders and measures (e.g. anti-immigration poli-
cies; Muis & Immerzeel, 2017), unconventional political movements (e.g. the Yellow Vests; Adam-Troian
et al., 2021) and even COVID-19 vaccine scepticism (Callaghan et al., 2020), these social class features of
conspiracy beliefs remain less explored by social-psychological research (in comparison with cognitive,
political or motivational factors). In this paper, we explore for the first time how the experience of precarity,
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an important yet overlooked factor, might contribute to promoting conspiracy beliefs rooted in class antag-
onism and perceptions of relative deprivation between precarious individuals and non-precarious ones.
The social psychology of precarity
One of the first conceptualizations of precarity comes from early sociological studies of Algerian laborers'
conditions in French Algeria (Bourdieu & Abdelmalek, 1964). Bourdieu and Abdelmalek's (1964) analysis
relied on interview data from Algerian workers during the colonial period and led to the identification
of two prototypical categories of labor as perceived and experienced by workers. A first ‘traditional’ type
of labor summarized the condition of Algerian peasants, characterized by objective self-sufficiency, but
more importantly maybe, by a subjective sense of stability and predictability due to the activity's reli-
ance on seasonal rhythms. Opposed to this conception of work judged as ideal by participants was the
so-called ‘precarious’ employment experienced by uprooted Algerian rural employees. This precarious
employment was defined as characterized by isolation from one's relatives, dependency on the employer
and a permanent sense of uncertainty (see Millar, 2017).
From early on, precarity was, therefore, conceptualized from a social-psychological standpoint, marked
by a heightened sense of personal uncertainty and unpredictability in life circumstances, hence theoret-
ically distinct from poverty exclusively (although the two are empirically correlated, see Lemke, 2016).
Accordingly, we chose to define precarity as the subjective experience of permanent social and psycholog-
ical insecurity, stemming from objective conditions of affiliative and economic deprivation (e.g. exploita-
tion, colonial legacies, see ANONYMIZED_B, 2022). These objective conditions emerge from labor
characteristics (i.e. precarious work) such as job insecurity (e.g. part-time, short term), lack of benefits,
low prestige and income (Castel, 2003; Kalleberg, 2011).
Recent developments on the concept have extended the notion of precarity. Beyond the sole domain
of work and labour relations, precarity is a construct which, “conjures life worlds that are inflected with uncer-
tainty and instability” (Waite, 2009, p. 416) and is now understood as an experience at the intersection of
different spheres within individuals' lives. This broader conception of precarity considers that it “inhabits
everything from the global political economy to the vicissitudes of employment, health, social relations, self-perception”
(Ettlinger, 2007, p. 324). Precarity taps into the very feelings and perceptions associated with not being
safe and secure, which can translate into subjective judgements of being on the verge of collapse (Philo
et al., 2019) or in a permanent state of self-uncertainty (Söderström, 2019).
Precarity is thus associated with a sense of ontological insecurity and existential threat (Jonas &
Fritsche, 2013; Kinnvall & Mitzen, 2020; Laing, 1960), which ultimately affects the way individuals project
themselves in the future. In fact, recent research suggests that a lack of ability to project oneself into the
future (i.e. to exert Time–Space Distanciation) is a distinct psychological signature of precarity, because
precarity renders future time projection too costly (induces stress, see ANONYMIZED, 2022). Besides
this ability to project oneself into the future, ontological security refers to a “person's fundamental sense
of safety in the world and includes a basic trust of other people”(Giddens, 1991, p. 38). In turn, this sense of
trust is necessary to sustain individual psychological wellbeing but also to buffer existential anxiety and
identity-uncertainty (see Kinnvall, 2004 for a similar argument).
The increase in socio-economic inequalities brought about by intense global macro-economic reforms
(beginning in the 80 s; Piketty & Saez, 2014) has led to a generalization of precarity across so-called
‘WEIRD’ societies (Western, Educated, Industrialized, Rich, Democratic; Agius et al., 2021; Henrich
et al., 2010). Because of this increase in prevalence, sociologists and demographers have considered the
theoretical relevance of using novel social classifications based on the experience of precarity. Instead
of using the traditional socio-economic classifications (i.e. low, middle, high SES), some researchers
conceptualized the existence of a whole new class—defined by a lack of work-related security (e.g. no
stable income, social safety net, upward social mobility), strong feelings of alienation and anger towards
upper-classes (the ‘precariat’; Standing, 2011).
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Thus, precarity—as an objective life condition and a subjective life experience—can be thought of as
an encompassing psychosocial construct. In fact, precarity allows for theoretically disentangling empiri-
cally distinct constructs, namely economic deprivation (i.e. poverty) from the experience of permanent
insecurity. This is important because several analyses have highlighted how right-wing populist parties
and measures do not really appeal to individuals in the poorest income brackets, but to those situated just
above them (see Archibugi & Sorace, 2019 regarding the Brexit vote). In the U.S., for instance, Trump
votes in 2016 were driven by increased support from the ‘squeezed middle’: the average American worker
who earned a similar income in 2009 than in 1975 (Gifford, 2021). In France, the Yellow Vests movement
grew out of the larger population of those just above the poverty line, under constant threat of falling
below at any point (Mahfud et al., 2021).
To the extent that precarity increases people's feelings of anxiety, powerlessness, hopelessness and
perceptions of anomie (Adam-Troian, Bonetto, et al., 2020; Sprong et al., 2019), it may be a potent driver
of political extremism. As such, we argue that precarity is a crucial variable to understand the formation of
populist and radical socio-political attitudes and may, therefore, be especially important to understand how
individuals endorse radical beliefs about politics and society in the form of conspiracy theories.
From precarity to conspiracy?
Decades of research have identified three main classes of factors that are linked with conspiracy beliefs
(Wagner-Egger, 2021): societal-political, cognitive-psychological and communicational. The communica-
tional dimension encompasses the effects of internet access and social media on unfounded beliefs (e.g.
Bronner, 2015). Dozens of studies have shown that cognitive biases, emotions (e.g. anxiety) and intuitive
thinking are associated with conspiracy beliefs (Douglas et al., 2019; Goreis & Voracek, 2019), highlighting
the importance of cognitive-psychological factors. Regarding the societal-political dimension, research indi-
cates that people who are disadvantaged in society (e.g. lower SES, ethnic minorities; see for instance van
Prooijen et al., 2018) endorse more conspiracy beliefs. As conspiracy beliefs can be defined as serious accu-
sations of conspiracy without ‘sufficient proofs’, and very often target the elites (Wagner-Egger, 2021), there
are thus reasons to consider conspiracy beliefs as irrational discourses of revenge for being in disadvantaged
social positions. These disadvantaged social positions may be characterized objectively and subjectively.
Studies have repeatedly indicated that lower education levels are related to greater endorsement of
conspiracy beliefs (Garrett & Weeks, 2017; Goertzel, 1994; Green & Douglas, 2018; Mancosu et al., 2017;
Oliver & Wood, 2014; Radnitz & Underwood, 2015; Stempel et al., 2007; Swami et al., 2016; Uscinski
& Parent, 2014; van Prooijen, 2017; van Prooijen et al., 2015). Since precarity fosters lower educational
achievement by decreasing access to the economic and social resources required to succeed academically
(Croizet et al., 2019; Goudeau & Croizet, 2017), it could hence exert a remote influence on conspiracy
beliefs.
Low economic resources are also related to a higher level of conspiracy beliefs (Freeman &
Bentall, 2017; Radnitz & Underwood, 2015; Uscinski & Olivella, 2017; Uscinski & Parent, 2014). In fact,
the economic aspects of precarity may impact individual endorsement of conspiracy beliefs directly and
indirectly through the effects of various dimensions of personality, cognition and health. This is not
only true at the individual level but also at the country level, as several studies showed that the higher
the economic inequalities in a country, the higher the endorsement of conspiracy beliefs (Cordonier
et al., 2021; Drochon, 2018; Imhoff et al., 2022). Likewise, the perception of objective and subjective
economic inequality on conspiracy beliefs has been proved to be related to greater conspiracy beliefs
(Salvador Casara et al., 2022), both at the correlational and the experimental level (conspiracy beliefs
increased when participants were presented with an imaginary country that suffered from more economic
inequality compared to a less unequal imaginary country).
Although there is no direct evidence for this relationship, studies have highlighted that precarity
facilitates known predictors of conspiracy beliefs. For instance, Obschonka et al. (2018) have demon-
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strated how historical deindustrialization processes generate increased population anxiety and depression
in former coal-mining areas, through intergenerational exposure to precarity and unemployment. Like-
wise, precarity can increase mental health issues, including psychotic symptoms (for a demonstration
in the United States; see Wickham et al., 2014). Hence, there are reasons to believe that precarity could
foster conspiracism through increasing risk factors for conspiracy beliefs, such as anxiety, schizotypy and
paranoid ideation (Bruder et al., 2013; Fenigstein & Vanable, 1992).
In addition, the subjective experience of precarity may affect conspiracy beliefs. It is a well-established
finding that perceptions of anomie fuel conspiracy beliefs through distrust towards politicians and authori-
ties, feelings of loss of control and powerlessness, dissatisfaction in life, political alienation (Abalakina-Paap
et al., 1999; Brotherton et al., 2013; Bruder et al., 2013; Goertzel, 1994; Green & Douglas, 2018; Imhoff
& Bruder, 2014; Swami, 2012; Wagner-Egger & Bangerter, 2007; Wood et al., 2012).
Precarity, as it entails insecurity in several life domains, taps into the motivational processes at work
behind conspiracy beliefs. Conspiracy beliefs help individuals cope with uncertain situations and stressful
life experiences by giving them a sense of meaning and control (Marchlewska et al., 2018; see Douglas
et al., 2017 for a review), while paradoxically degrading their mental health (i.e. manifested in a maladap-
tive form of coping; Marchlewska et al., 2021). Some studies showed that experiencing loss of control
and threats to one's identity is related to conspiracy beliefs (e.g. Graeupner & Coman, 2017; van Prooijen
& Acker, 2015; Whitson & Galinsky, 2008).
Moreover, individual need for physical safety and death-related anxiety are positive predictors of
conspiracy mentality and endorsement of various conspiracy theories (Abalakina-Paap et al., 1999;
Newheiser et al., 2011; Swami, 2012). It is thus possible that the sense of physical threat associated with
precarity and low perceived SES (e.g. poorer health; Cundiff & Matthews, 2017) leads to increased conspir-
acy beliefs. In fact, the constant threats faced by poorer and lower-social status individuals explain why
these groups develop more collectivistic values and group-based conceptions of their identity (Iacoviello
& Lorenzi-Cioldi, 2019), which have been shown to directly predict conspiracy beliefs (Adam-Troian,
Wagner-Egger, et al., 2020; van Prooijen & Song, 2021).
The present research: A socio-functional model of conspiracy beliefs
This brief overview of the literature suggests that both objective and subjectivefeatures of precarity could
foster conspiracy beliefs endorsement. By considering for the first time the potential role of precarity, we
aim to lay the basis for a socio-functional theory of conspiracy beliefs to explain why, despite the poten-
tial negative consequences on one's reputation (Lantian et al., 2018), believing in conspiracy beliefs is still
attractive to individuals. The socio-functional model states that conspiracy beliefs may provide people
with (1) an explanation of why they are disadvantaged in society, (2) liable individuals or groups for that
disadvantage (scapegoating) and (3) a feeling of revenge, with the belief that in the future, conspirators
will be caught and punished.
In this perspective, we argue that the exact actors, intentionality or details of a plot in a conspiracy
narrative do not matter much to the believers. Instead, we propose that the common underlying theme
behind conspiracy narratives, which is that some groups ‘at the top’ of society are trying to deceive or
harm those precariously situated ‘at the very bottom’ (Nera et al., 2020), matters more to believers. This
view fits recent evidence showing that the actual information value of a conspiracy narrative does not
influence individuals' endorsement of it (Meuer et al., 2021). Instead, we argue that feelings of (dis)trust
–rather than perceptions of meaning—may play an important role in understanding how precarity might
relate to conspiracy beliefs (van Mulukom et al., 2020).
According to our model, the experience of precarity would generate strong feelings of distrust (Smith
& Bohm, 2008). Indeed, perceptions of economic inequalities (which are higher among lower-income indi-
viduals, Knell & Stix, 2020) and real economic inequalities tend to foster a general lack of trust towards
various social groups, especially those at ‘the top’ of society (see Sprong et al., 2019; Teymoori et al., 2017).
In turn, this distrust would increase prejudicial intergroup attitudes based on class distinctions in the form
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of conspiracy beliefs. Research does show that conspiracy beliefs can be considered as a form of inter-
group prejudice (Chayinska & Minescu, 2018; Jolley et al., 2020; Sapountzis & Condor, 2013; Sternisko
et al., 2020), and several studies have demonstrated that perceptions of relative deprivation, rather than
actual socio-economic status (see Ogorzalek et al., 2020) can be a potent driver of intergroup prejudice
(e.g. Guimond & Dambrun, 2002). Hence, conspiracy beliefs could reflect individual perceptions that their
precarious situation is intentionally caused by other outgroups who hold more socio-economic and politi-
cal power. These beliefs could occur if precarity fosters a greater sense of distrust towards the ‘elites’ (e.g.
non-precariat outgroup members or individuals perceived as such) and related institutions.
This proposition is indirectly corroborated by the fact that, although anti-minority (downwards)
conspiracy beliefs may vary along with conservative ideology, anti-elite (upwards) conspiracy beliefs are a
common feature of both left- and right-wing extremists (which tend to be more prevalent among lower
SES; Nera et al., 2021). More directly, well-established evidence positively linking poverty and distrust,
whether interpersonal or political, suggests that precarity and distrust may display similar associations
(De Courson & Nettle, 2021). Likewise, recent evidence demonstrates the existence of a positive link
between economic inequality and conspiracy beliefs, mediated by perceptions of anomie (i.e. societal
breakdown, which entails generalized distrust see Salvador Casara et al., 2022).
Additionally, in a socio-functional view, most conspiracy beliefs should be understood as extended
intuitions and abusive generalizations stemming from a ‘gut feeling’ that may actually have a kernel of
truth (e.g. experiencing feelings of existential threat, stemming from precarity; see Douglas et al., 2017).
For instance, despite the fact that increase in economic inequality is due to an interplay between complex
factors, it is still true that inequality and precarity are caused—in part—by the collective intentional behav-
iour of corporate institutions and high-income individuals in society (e.g. tax-evasion; see Stiglitz, 2021).
Thus, although conspiracy beliefs may seem irrational and exaggerated (e.g. far from tax-evasion), the
group-level prevalence of such beliefs may objectively reflect one's group's decreasing socio-economic
status and political power. Our approach is in line with the notion that given the “apparently irrational language
of conspiracy it is important to ask how such marginalised forms of thinking might be as a consequence of social precarity”
(Johnson-Schlee, 2019, p. 176). Far from innocuous, however, (Douglas et al., 2021) precarity-induced
conspiracy beliefs can foster radical forms of political and collective action in attempts to actively chal-
lenge the status quo (Imhoff et al., 2022; Rottweiler et al., 2022).
Considering these associations, we aimed to empirically test our model to provide the first evidence of
a potential role of precarity-induced distrust in shaping conspiracy beliefs. We hypothesized that precarity
should be positively linked to conspiracy beliefs (H1), negatively to trust in actors related to the conspir-
acy (H2), which itself would be negatively linked to conspiracy beliefs (H3). Our analyses should yield a
positive indirect effect so that increases in precarity levels would lead to increases in conspiracy beliefs
through decreased trust in actors related to the conspiracy (H4).
A crucial question we also sought to address when testing our model was to find out whether the
subjective experience of precarity could be related to conspiracy beliefs, independently of objective life
circumstances (e.g. income, education, etc.). This could explain why, for instance, votes for populist move-
ments or candidates (e.g. Trump in the United States) tend to be more prevalent among the lower-middle
class whose earnings and available income may be higher than that of the lower-classes, but who struggle
to deal with the financial requirements of their relatively ‘more wealthy’ lifestyle (e.g. paying mortgages
vs. social housing rent).
OVERVIEW OF THE STUDIES
To test our theoretical model of conspiracy beliefs based on precarity, we conducted three cross-sectional
studies using various representative samples across six continents. The first study made use of the latest
(2017–2021) World Values Survey wave (WVS wave 7; Haerpfer et al., 2020). Although conspiracy beliefs
are not measured in the WVS, we constructed an index of conspiracy beliefs by analysing respondents'
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agreement on items regarding perceptions of electoral fraud but exclusively restricting our analysis on
countries with objectively high indices of electoral, liberal and direct democratic freedoms where such
fraud is less likely to occur.
Studies 2a (France) and 2b (Italy) employed the analyses of poll data, this time including validated
scales for measuring both conspiracy beliefs and mentality regarding the COVID-19 pandemic and other
alleged plots (e.g. 9/11). Study 2a was a secondary analysis of a dataset collected by third parties related to
the investigators (but not designed by investigators themselves) and Study 2b was an analysis of a survey
directly conducted by some of the investigators in the context of another project related to COVID-19's
psychological consequences in Italy. This strategy allowed us to establish robust correlational findings
across a range of ecologically valid stimuli (Wells & Windschitl, 1999).
The studies were all conducted in accordance with the APA Code of Conduct (APA,
2017). Supplementary materials, analyses and all data underlying our findings can be openly
accessed and downloaded through the Open Science Framework platform at https://osf.
io/93f5d/?view_only=1b927686808346e385d5e2dedbede4be.
STUDY 1
METHOD
In this first study, we decided to analyse data collected in the context of the 2017–2021 WVS, which
included a substantial number of measures relevant to our theoretical model. Data collection procedure
as well as content of the questionnaire in each country is extensively detailed on the WVS website.1
Participants
Given the specific methodological choices we made to calculate our conspiracy beliefs score (see section
Measures below), our analysis focused on a fraction only of the WVS data. It included 21,649 participants
from 16 countries (46.9% male; Mage = 47.3, SDage = 17.5), guaranteeing sufficient power to detect small
direct and indirect effects as well as to provide for stable correlation estimates (Schönbrodt & Perugini,
2013).
Measures
Our study used indicators and measures computed as detailed below. Country-specific descriptive statis-
tics are available on the OSF project page (under Study 1 WVS).
Precarity
Five items were averaged to create a composite measure of precarity. These items asked how often partici-
pants or their family had “gone without enough food to eat,”“felt unsafe from crime in [their] home,”“gone without medi-
cine or medical treatment that [they] needed,”“gone without a cash income”and “gone without a safe shelter over [their]head”
over the last 12 months. This indicator hence tapped into feelings of insecurity (one item) and subjective
estimates of uncertainty in several areas of life such as health, food, finance and constituted an adequate
proxy for measuring overall experience of precarity (questions 51 to 55; 4-point Likert, from 1 ‘never’ to 4
‘often’; M = 1.44, SD = .57, α = .77).
1
https://www.worldvaluessurvey.org/WVSDocumentationWV7.jsp.
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Conspiracy beliefs
As mentioned earlier, the WVS does not contain measures of conspiracy beliefs per se. To assess partic-
ipants' level of conspiracy beliefs, we thus took advantage of the presence of items assessing partici-
pants' perceptions of electoral fairness (questions 224 to 233). Electoral fairness is the cornerstone of
democratic practices. We thus decided to focus only on those countries displaying a level of democratic
and political freedom high enough to make sure that any perceptions of electoral unfairness would be at
odds with the country's political reality. To do so, we selected countries ranked as ‘Free’ by the Freedom
House Project Index (https://freedomhouse.org/countries/freedom-world/scores, this index was also
coded as a country characteristic in the WVS itself). This left us with the following 16 countries: Andorra,
Argentina, Australia, Brazil, Chile, Cyprus, Germany, Greece, Japan, New Zealand, Peru, South Korea,
Romania, Taiwan, Tunisia and the United States.
Still, some of the electoral fairness items were ambiguous. For instance, question 233 asked if “women
have equal opportunities to run the office.” Given the existing gender differences in political involvement, partic-
ipation and representation in favour of men, one could completely agree with the item and be in line with
results from social science research (at least among OECD countries e.g. Kittilson, 2016). Question 229
asks if “election officials are fair,” which is a broad subjective statement. Likewise, it may be objected that
question 230 “rich people buy elections” reflects evidence showing how political donations from high-income
individuals and corporations affect electoral outcomes and policy making (Bekkouche et al., 2020;
Cagé, 2020; Muttakin et al., 2021).
For these reasons, we only retained items related to unambiguous political practices that are very
unlikely to occur in democratic contexts. These items were questions 225–227 “opposition candidates are
prevented from running,”“TV news favors the governing party,”“voters are bribed” as well as question 231 “voters are
threatened with violence at the polls”(4-point Likert, from 1 ‘never’ to 4 ‘often’, M = 2.15, SD = .66, α = .68). Item
reliability (α = .68) was the highest among all possible combinations within this set of four items.
Electoral trust
To avoid noise and remain domain-specific in our assessment, we decided to measure electoral distrust
using the single-item question 76 “could you tell me how much confidence you have in elections?” (4-point Likert,
from 1‘a great deal’ to 4‘none at all’;M = 2.66, SD = .98, reverse-coded to obtain a measure of trust).
Covariates
In addition to our constructs of interest, we computed indices to be used as covariates to rule out alter-
native explanations for our model and potential confounds. For these robustness checks, we first sought
to capture religious affiliation (question 173; atheist vs. all other denominations, 11.6%), political ideology
(question 240; 10-point Likert, from 1 ‘left’ to 10 ‘right’; M = 5.30, SD = 2.27) and political extremism
(derived from ideology, distance from the scale center, 5-points, M = 1.96, SD = 1.17), which are all
important predictors of conspiracy beliefs (Douglas et al., 2019; Nera et al., 2021).
Second, we aimed to demonstrate the specificity of precarity as a predictor of trust and conspiracy
beliefs. To do so, our robustness checks would need to rule out confounds such as physical health (subjec-
tive, question 47, “how would you describe your state of health these days?”; 5-point Likert, from 1 ‘very poor’ to 5
‘very good,’M = 3.85, SD = .85), life satisfaction (question 49, 10-point Likert, from 1 ‘completely dissatisfied’
to 10 ‘completely satisfied,’M = 7.14, SD = 2.03), economic satisfaction (question 50, 10-point Likert, from 1
‘completely dissatisfied’ to 10 ‘completely satisfied,’M = 5.00, SD = 2.32), education (also a predictor of conspir-
acy beliefs; see van Prooijen, 2017; question 275, 8-points from 1 ‘no education’ to 8 ‘doctorate,’M = 3.93,
SD = 1.82), subjective socio-economic status (question 287, “would you describe yourself as belonging to the…”,
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5-points from 1 ‘upper class’ to 5 ‘lower class,’ M = 2.78, SD = .93) and income (question 288, 10-points
income scale from 1‘lowest income group’ to 10‘highest income group,’M = 4.89, SD = 2.01). Age and sex of
participants were also included in the robustness checks.
RESULTS
Correlations
Due to the structure of WVS data (individuals nested in countries; see Schielzeth et al., 2013), it is not
possible to compute Pearson correlation coefficients. These would yield biased estimates due to cluster-
ing. Rather, it is recommended to use repeated measure correlations, which can be computed one by one
(pairwise) manually using the openly accessible R package ‘rmcorr’ (see Bakdash & Marusich, 2017 for
more details). Given a large number of potential correlations between the constructs involved (n = 84),
we decided to report such correlations exclusively between our constructs of interest for the sake of
parsimony.
In line with H1, precarity was positively linked to conspiracy beliefs, r(16945) = .13, p < .001,
95%CI [0.11, 0.14]. Supporting H2 and H3, respectively, precarity was negatively related to electoral
trust, r(20887)=−.07,p <.001,95%CI[−0.08,−0.06],andelectoraltrustwasnegativelyassociatedwith
conspiracy beliefs, r(16774)=−.19,p <.001,95%CI[−0.21,−0.18].
Robustness checks
Because rmcorr cannot compute partial correlations, we then turned to multilevel modelling using the
GAMLj module for JAMOVI (based on R language and commands from the ‘lme4’ package; Bates
et al., 2007; The Jamovi Project, 2021) to assess whether the links between our constructs of interests
were robust to adjustment on covariates. Full models can be seen in the relevant section on the OSF
project page (Study 1 WVS).
These analyses confirmed that our results were robust. Again, in line with H1, precarity still positively
predicted conspiracy beliefs, t(14149) = 12.36, β = .07, p < .001, 95%CI [0.06, 0.08]. Supporting H2 and
H3 once more, precarity negatively predicted electoral trust, t(16698) = 2.52, β=−.02,p = .012, 95%CI
[−0.04,−0.01],andelectoraltrustnegativelypredictedconspiracybeliefs,t(14147) = 22.45, β=−.12,
p <.001,95%CI[−0.13,−0.11].
Multilevel mediation analysis
Due to the clustering of individuals within countries, it was not possible to implement traditional medi-
ation tests relying on OLS regressions (e.g. Hayes, 2017). We, therefore, used the R ‘mediation’ (Tingley
et al., 2014) package to conduct analyses based on non-parametric estimates (see Imai et al., 2010 for more
details). These analyses (Nbootstrap = 1000) corroborated a model (see Figure 1) including the presence of
both direct, β = .13, p < .001, 95%CI [0.11, 0.14] and indirect effects of precarity on conspiracy beliefs
through electoral trust, β = .02, p < .001, 95%CI [0.01, 0.02]. This indirect effect amounted to approxi-
mately 10% of the model's total effect, β = .14, p < .001, 95%CI [0.12, 0.16].
DISCUSSION
This first series of results provided support for our hypothesized model. We successfully established the
presence of a robust link between precarity and conspiracy beliefs, across several model specifications,
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including a host of relevant covariates. The link between precarity and conspiracy beliefs (unadjusted,
β = .13, p < .001) was still substantial after adjustment (β = .07, p < .001). This link is furthermore gener-
alizable to a substantial sample of democratic countries spanning several continents. On the other hand,
the link between precarity and trust was much weaker when adjusted, which may explain why the conse-
quent indirect effects of precarity through trust were also relatively small (β=−.02).Thismaybedue
to the single-item trust measure (i.e. noisy), but could also reflect low adequacy between the mediation
model and the data. Moreover, we could not provide strong construct validity for our indicators (but see
Houston, 2004), which were not properly validated scales. For all these reasons, we decided to replicate
our results using two further representative survey datasets collected in France and Italy.
STUDY 2
METHOD
This second set of studies aimed to replicate the results from Study 1 by using more valid and precise
measures of both trust and conspiracy beliefs. To do so, we used cross-sectional survey data collected in
France (2a, pre-pandemic) and Italy (2b, during the pandemic) using representative samples. The countries
were chosen partly for convenience reasons and because they were not included in the WVS study, there-
fore, allowing for a proper confirmatory test with non-overlapping samples and cultural contexts. Study
2a waspart of a multi-study data collection effort. Study 2b is an original analysis of a subset of indicators
from data collected in Italy during the COVID-19 pandemic.
Participants
Study 2a (France)
A survey on a representative sample of the French population was conducted between December 21st
and December 23rd, 2018 by the Institut Français d'Opinion Publique (IFOP) on behalf of the Fondation
Jean-Jaurès2and Conspiracy Watch.3
The representativeness of the overall sample was ensured by the quota method, for three criteria:
gender, age and profession, after stratification by region and socio-professional categories (n = 1506). A
group of 254 French people aged between 18 and 35 were added to this sample and were surveyed in
parallel between December 21st and December 23rd. The final sample thus resulted in a total of 1760
2
https://www.jean-jaures.org/.
3
https://www.conspiracywatch.info/.
ADAM-TROIAN eT Al.
10
FIGURE 1 Partial mediation model of Precarity's effect on electoral conspiracy beliefs through electoral trust. Note.
***p < .001, numbers represent beta coefficients for each path. Numbers between brackets indicate lower and upper bounds for
coefficients' 95%CI. DE = direct effect, IDE = indirect effect.
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participants (44.80% male; Mage = 46.10, SDage = 18.40). According to the IFOP, this was done to obtain
a larger subsample of young people who are believed to be especially sensitive to conspiracy theories in
France, as it was observed in a previous representative survey (Wagner-Egger et al., 2018). We performed
the statistical analyses on the full sample for reasons of commodity, but we verified whether the results
were identical when weighing participants for representativeness.
Study 2b (Italy)
A nationally representative survey study was conducted in Italy between December 27, 2020 and January
7, 2021. The current study was part of a larger questionnaire that aimed at studying public opinion about
the pandemic-related issues (e.g. respondents' physical status, psychological status, subjective probability
of contracting COVID-19, opinions about COVID-19's dangerousness).
Participants were recruited by the participant-sourcing platform Cloud Research using a quota
sampled cohort of Italian adults. Quotas were based on the Italian National Institute of Statistics popu-
lation estimate data for gender and income. The final sample comprised 2204 participants (52.5% male;
Mage = 28.33, SDage = 11.34).
Again, both these sample sizes guaranteed sufficient power to detect small direct and indirect effects
as well as to provide for stable correlation estimates (Schönbrodt & Perugini, 2013).
Measures
Precarity
To overcome the limitation posed by a somewhat broad measure of precarity in Study 1, in Studies 2a and
2b, our precarity measures were made of more straightforward, strict indicators focusing on economic
matters. As the experience of precarity in the literature is tied to economic and labor issues (Millar, 2017),
we opted for a more severe test of our theoretical proposition in Studies 2a and 2b.
Study 2a (France)
Highlighting a subjective sense of financial insecurity and struggle, precarity was measured in France
using an item asking if participants “manage to make ends meet at the end of the month” (5-point Likert, from 1
‘easily’ to 5 ‘very hardly’; M = 2.92, SD = 1.10).
Study 2b (Italy)
Three items adapted and modified from prior research (see Adam-Troian et al., 2021) were used to assess
the extent to which participants experienced precarity related to the COVID-19 outbreak: I am “worried
about losing my job,”“worried that I will not have enough money for my family needs,” and “concerned that my financial
situation may be adversely affected” (5-point Likert, from 1 ‘completely disagree’ to 5 ‘completely agree’; M = 3.05,
SD = 1.06, α = .86).
Conspiracy beliefs
Conspiracy beliefs in both studies pertained to different contexts. While the survey in France was
conducted pre-COVID-19 and included ‘classic’4 conspiracy beliefs (e.g. beliefs about 9/11) as well as a
4
Classic conspiracy beliefs comprise beliefs that transcend cultural contexts within modern history (e.g. antisemitic conspiracies, American militarism
requiring “false flag” operations, world domination by secret societies, depraved elites engaging in immoral behaviours).
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general measure of conspiracy mentality, the Italian survey contained mostly conspiracy beliefs related to
the pandemic.
Study 2a (France)
The survey comprised two sets of conspiracy-related outcomes. First, we analysed respondents' endorse-
ment of ten particular conspiracy theories, four of which directly relate to the US context: “the CIA controls
global drug trafficking,”“9/11 was an ‘inside job,’”“‘Big Pharma’” and governments promote dangerous vaccines,” “the
Illuminati manipulate the masses,”“there are hidden signs for the New World Order on banknotes and video clips,”“Zion-
ists conspire for world domination,”“there is an organized “Great Replacement” of EU natives by immigrants,” “Lady
Diana's car crash was not accidental,”“the Apollo landing on the moon was fake” and “planes spread so-called “Chemtrails”
for secret reasons” (4-point Likert, from 1‘not agree at all’ to 4 ‘completely agree,’ M = 1.96, SD = .81, α = .94).
Second, we also made use of the survey's standardized generic conspiracy beliefs scale (Conspiracy
Mentality Questionnaire, 5 items; see Bruder et al., 2013 for the full item list, which includes generic
statements such as “There are secret organizations that greatly influence political decisions”). Contrary to the original
paper, the scale was downsized by IFOP to 4 points (instead of 10) for practical reasons (from 1‘absolutely
not true’ to 4 ‘completely true’; M = 3.03, SD = .69, α = .86).
Study 2b (Italy)
Five items adapted from Oleksy et al. (2021) were used to assess the extent to which participants endorsed
diverse conspiracy theories related to the COVID-19 outbreak: “The media pay disproportionate attention to
negative news to sow panic in our society,”“The pharmaceutical industry is taking advantage of the COVID-19 pandemic
to make money,”“The government is deceiving us and hiding information about the Coronavirus,”“The problems facing the
pandemic in Italy are the product of the corruption of government officials who squandered the money” and “The phar-
maceutical industry is making a fortune from the pandemic by selling more medicines than ever” (5-point Likert, from 1
‘completely disagree’ to 5 ‘completely agree,’ M = 3.24, SD = .87, α = .82).
Trust
Study 2a (France)
In France, a broad inclusive trust measure was created by reverse-coding and averaging questions assess-
ing distrust towards five institutions (the police, justice system, military, education and the media; 5-point
Likert, from 1 ‘very confident’ to 5‘not confident at all,’M = 2.61, SD = .54, α = .75; reverse-coded).
Study 2b (Italy)
In Italy, six items were adapted and modified from Teymoori et al. (2016) to measure the extent to which
respondents trusted political authorities: “The government represents the majority of the population,”“The govern-
ment works for the welfare of the people,”“Authorities protect vulnerable and weak people,”“Government laws and policies
are effective,”“People approve of the government's agenda,” and “People can trust the authorities” (5-point Likert, from
1 ‘completely disagree’ to 5 ‘completely agree,’ M = 2.69, SD = .87, α = .92).
Covariates
As in Study 1, we included a number of covariates (in addition to age and sex) to assess the robustness
of our results.
Study 2a (France)
Again, we measured religious affiliation (no religion vs. all other denominations, 40.3%), political ideology
(5-point, from 1 ‘far-left’ to 5 ‘far-right,’M = 3.13, SD = 1.36; coded from the candidate they voted for in
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2017) and political extremism (derived from ideology, distance from the scale center, 3-points, M = 1.11,
SD = .79). Education was measured using a 11-point ranking (highest diploma earned, from 1 = ‘none’ to
11 = ‘Doctorate,’ M = 8.59, SD = 2.24) and monthly income with a 6-point scale (from 1 = ‘less than 1000€’
to 6 = ‘4000€and more,’M = 8.59, SD = 2.24). Likewise, we made use of a measure of life satisfaction
(“would you say that you succeeded in life?”; 5-point Likert, from 1 = ‘not at all’ to 5 = ‘completely,’ M = 2.75,
SD = .67).
Study 2b (Italy)
Due to survey length constraints, fewer covariates were available in the Italian study, although still enough
to conduct proper robustness checks. Political ideology was included (9-point Likert, from 1 ‘far-left’ to
9 ‘far-right,’M = 5.01, SD = 1.95) and political extremism was, again, derived from it (4-points, M = 1.45,
SD = 1.31). Education was also measured through highest diploma earned (7 ranks from 1 = ‘none’ to
7 = ‘Doctorate,’ M = 4.38, SD = 1.31), and subjective income level on a 5-point scale (relative to the average
Italian, from 1 = ‘much lower than average’ to 5 = ‘much more than average,’M = 3.29, SD = .82). As a proxy
for life and economic satisfaction, we also included a single-item measure of past-relative deprivation
(“would you say your life has improved or worsened compared to before?”5-point Likert, from 1 = ‘improved a lot’ to
5 = ‘worsened a lot,’M = 2.45, SD = .82).
RESULTS
Correlations
Bivariate Pearson correlation coefficients between our variables of interest were computed (see Table 1).
In France, and in line with H1, precarity was positively linked to both conspiracy beliefs, r(770) = .30,
p < .001, 95%CI [0.23, 0.36] and conspiracy mentality, r(1372) = .25, p < .001, 95%CI [0.20, 0.30].
Supporting H2 and H3, respectively, precarity was negatively related to institutional trust, r(1616)=−.25,
p <.001,95%CI[−0.30,−0.20], which in turnwasnegativelyassociatedwithbothconspiracy beliefs,
r(761)=−.33,p <.001,95%CI[−0.39,−0.26]andconspiracymentality,r(1326)=−.36,p < .001, 95%CI
[−0.40,−0.31].
Likewise in Italy, in line with H1, precarity was positively linked with COVID-19 conspiracy beliefs,
r(1848) = .22, p < .001, 95%CI [0.17, 0.26]. Supporting H2 and H3, respectively, precarity was negatively
related to political trust, r(1849)=−.15,p < .001,95%CI[−0.19,−0.10],whichwasinturnnegatively
associated with COVID-19 conspiracy beliefs, r(1848)=−.46,p <.001,95%CI[−0.50,−0.42].
Robustness checks
Partial correlation coefficients adjusting for the covariates available in each country were then computed
(see Table 1). In France, precarity was still positively linked with conspiracy mentality scores, r(684) = .15,
p < .001, 95%CI [0.07, 0.22] but the relationship with conspiracy beliefs disappeared, r(410) = .08, p = .11,
95%CI[−0.02,0.18],providingmixedevidenceforH1.Still,supportingH2andH3,respectively,precar-
ity was negatively related to trust in institutions, r(776)=−.11,p =.004,95%CI[−0.18,−0.04],inturn
negatively associated with both conspiracy beliefs, r(407)=−.24, p < .001, 95%CI[−0.33, −0.15] and
conspiracy mentality, r(671)=−.24,p <.001,95%CI[−0.31,−0.17].
In Italy, all links held to adjustment. As per H1, precarity was still positively linked with COVID-
19 conspiracy beliefs, r(1819) = .12, p < .001, 95%CI [0.08, 0.17]. Supporting H2 and H3, respectively,
precarity was also negatively related to political trust, r(1820)=−.07,p =.005,95%CI [−0.11, −0.02],
and political trust was negatively associated with COVID-19 conspiracy beliefs, r(1819)=−.40,p < .001,
95%CI[−0.43,−0.36].
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Mediation analysis
To test H4 this time, we could implement mediation tests relying on OLS regressions (see Hayes, 2017
for more details). We used the GLM Mediation package from JAMOVI (The Jamovi Project, 2021;
Nbootstrap = 1000) to compute two mediation models (see Figure 2) with COVID-19 beliefs as the outcome
in Italy and focusing on conspiracy mentality in France (since conspiracy beliefs were not robust to adjust-
ment). Full model tables can be accessed in the corresponding OSF web page folder. Again, the analyses
corroborated a model including the presence of a direct, β = .12, p < .001, 95%CI [0.09, 0.16] and an
indirect effect of precarity on conspiracy beliefs through institutional trust, β = .05, p < .001, 95%CI [0.04,
0.07] in France. This indirect effect amounted to approximately 28% of the model's total effect, β = .18,
p < .001, 95%CI [0.21, 0.26].
In Italy, analyses also detected the presence of both direct, β = .14, p < .001, 95%CI [0.10, 0.17] and
indirect effects of precarity on conspiracy beliefs through political trust, β = .05, p < .001, 95%CI [0.04, 0.08],
the latter amounting to approximately 26% of the model's total effect, β = .19, p < .001, 95%CI [0.15, 0.23].
DISCUSSION
Studies 2a and 2b further corroborated the plausibility of a socio-functional model of conspiracy beliefs
based on precarity. Across a range of different operationalizations of all constructs involved, we success-
fully replicated the results from Study 1. Moreover, the size of coefficients and proportions of indi-
ADAM-TROIAN eT Al.
14
1 2 3 4
Study 2a (France)
Bivariate
Precarity -
Trust −.25*** -
CBs −.30*** −.33*** -
CMQ −.25*** −.36*** .60*** -
Partial
Precarity -
Trust −.11** -
CBs .08 −.24*** -
CMQ .15*** −.24*** .47*** -
Study 2b (Italy)
Bivariate
Precarity -
Trust −.15*** -
COVID-19 CBs .22*** −.46*** - -
Partial
Precarity -
Trust −.07** -
COVID-19 CBs .12*** −.40*** - -
Note
: Control variables for partial correlations arethe covariates available in each country survey, see methods, measures section.
Abbreviation: CB, Conspiracy Beliefs.
**p < .01, ***p < .001.
TABLE 1 Summary of bivariate and partial correlation analyses between precarity, trust and conspiracy beliefs measures
from studies 2a (France, N = 1760) and 2b (Italy, N = 1860).
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rect relative to total effects in Italy was strikingly similar to those obtained in France. However, we also
observed that some of the conspiracy beliefs measures (e.g. ‘classic’ conspiracy beliefs in France), were
not robustly associated with precarity.
GENERAL DISCUSSION
In this set of studies, we sought to examine the structural determinants of conspiracy beliefs by laying
the foundations for a socio-functional approach to conspiracy beliefs. Drawing on existing theories of
precarity, we predicted that the experience of a permanent sense of ontological insecurity—especially
in the financial domain—would explain individuals' increased tendency to endorse conspiracy beliefs.
Our hypothesis was that perceived precarity, through its effect on trust towards institutions and ‘elites’,
could be a factor to understand the observable class divide surrounding conspiracy beliefs. Across three
population-based survey studies conducted in both Global North and Global South countries, we found
consistent evidence for a predictive power of precarity upon conspiracy beliefs directly and indirectly
through different types of trust.
An important feature of our results is that—for the first time—we demonstrated that precarity is
robustly associated with conspiracy beliefs, regardless of how precarity is operationalized (Study 1: phys-
ical and economic safety; Study 2a: subjective feelings of “making ends meet”; Study 2b: worry of financial
insecurity due to the pandemic) or how conspiracy beliefs are measured (beliefs related to electoral,
conspiracy mentality, COVID-19 conspiracy beliefs). In fact, the indicators we used to operationalize
precarity, although imperfect, could be the basis for future psychometric precarity scales to be tested and
validated properly (see Boateng et al., 2018), maybe in conjunction with indicators tapping into other
subjective experiences of precarity (e.g. Time–Space Distanciation, see ANONYMIZED). Moreover, the
links we observed were systematically robust to adjustment on known predictors of conspiracy beliefs
and on actual financial variables (e.g. income, SES). This reveals how precarity can still predict conspiracy
beliefs because of its psychosocial component, in line with conceptions of precarity as an experience that
transcends traditional class boundaries (see Standing, 2011).
PReCARITY AND CONSPIRACY BelIeFS 15
FIGURE 2 (a) Partial mediation model of Precarity's effect on conspiracy beliefs through Trust in France. (b) Partial
mediation model of Precarity's effect on conspiracy beliefs through Trust in Italy. Note. ***p < .001, numbers represent beta
coefficients for each path. Numbers between brackets indicate lower and upper bounds for coefficients' 95%CI. DE = direct
effect, IDE = indirect effect.
(a)
(b)
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Hence, our socio-functional model provides a novel complementary perspective to current explana-
tions of the link between conspiracy beliefs and distrust. Current research highlights how stable individual
differences in psychopathological traits (e.g. paranoid ideation; see van der Linden et al., 2021) and local
historical factors (US social history; Hofstader, 1964) can underly distrust and conspiracy beliefs. Here,
we propose and demonstrate that other experiences such as precarity can also shape individuals' percep-
tion of institutions and higher-SES groups as hostile outgroups, generating a form of distrust that is a
fertile psychological ground for conspiracism. This is important to understand the amorphous nature of
conspiracy beliefs. Here, we show that power—through the relative presence or absence of experienc-
ing precarity—plays a role in shaping those beliefs and can explain how these may be instrumentalized
for political ends (especially by authoritarian leaders; Ren et al., 2022), generating hatred and intergroup
violence.
Still, one may argue that these results cannot be generalized to all types of conspiracy beliefs (see
Franks et al., 2017 for an overview of the different motivations at play behind conspiracy beliefs). Indeed,
Study 2a showed that adjustment made the link between precarity and ‘classic’ conspiracy beliefs disap-
pear, suggesting that precarious individuals do not believe in these more than non-precarious ones.
Although this could be due to statistical issues (e.g. power, N dropped to 407 on this outcome in France),
we believe this result to corroborate our hypothesis further. When taking a closer look at the items, these
‘classic’ conspiracies (e.g. the fake moon landing, the chemtrails or the Illuminati; see Robertson, 2016) are
the ones that could be considered the most out of touch with concrete political or ideological concerns
(and may be driven by more spiritual or community-oriented motives, Franks et al., 2017).
Interestingly, there is also evidence that the apparently high prevalence of these conspiracy beliefs
(e.g. QAnon, micro-chips in the COVID-19 vaccine) may be due to methodological biases, which tend to
inflate self-reported endorsement (Clifford et al., 2019; Sutton & Douglas, 2020). Therefore, it is possi-
ble that precarity relates more strongly to less far-fetched beliefs pertaining to power struggles between
socio-economic and political groups, while more ‘fringe’ conspiracy beliefs—such as micro-chips in
vaccines—may be more strongly predicted by cognitive or pathological traits and the presence of meas-
urement issues.
Our overall results may, therefore, suggest that precarity may shape one's adherence to conspiracy
beliefs about ‘relevant’ political and social groups involved in the management of economy and society
(e.g. government, decision-makers, multinational corporations) that are likely to (or have the potential to)
influence the condition of precarious individuals. Findings from the current research may, therefore, also
explain related phenomena such as people's engagement in or support for unconventional political move-
ments like the Brexit in the UNITED KINGDOM or the Yellow Vests movement in France. As previous
research has documented, these social movements were driven by precarious middle-class individuals
more than by those at the very bottom of the socio-economic ladder (Blavier, 2021; Hobolt, 2016).
Theoretically grounded conspiracy beliefs within the broader framework of precarity allows to
approach an overtly empirically driven field (Goreis & Voracek, 2019) with a solid background. Doing
so shows that, although conspiracy narratives are irrational, the endorsement of these narratives obeys
a rational social and intergroup logic (albeit not a normative ratinality), in line with a socio-functional
perspective. The current investigation can be considered the first social-psychological attempt to directly
examine the association between precarity and conspiracy beliefs through (dis)trust towards political and
social institutions. Accordingly, we were able to pinpoint that between 10 and 30% of precarity's effect on
conspiracy beliefs could operate through trust, meaning that between 70 to 90% remain open to parallel
or alternative pathways to consider.
For instance, the constant anxiety and uncertainty generated by precarity could negatively impact
people's cognitive ability by increasing their cognitive load, leading to increased conspiracy beliefs (Farah
et al., 2017; Haushofer & Fehr, 2014). Lower educational achievement due to precarity (Croizet et al., 2019)
could also explain a substantial portion of the link between precarity and conspiracy beliefs (see also van
Prooijen, 2017). Likewise, it is possible that precarity leads to higher perceptions of anomie, the collapse
of societal fabric, which are themselves linked with higher levels of conspiracy beliefs (Jolley et al., 2019;
Salvador Casara et al., 2022). Similarly, the mediating role of precarity-induced clinical and subclinical
ADAM-TROIAN eT Al.
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psychopathological factors (Wickham et al., 2014), which is known to foster conspiracy ideation (Bowes
et al., 2021; Georgiou et al., 2019), should be tested.
This mediation process, however, remains to be tested further. For instance, indirect effect sizes from
all three studies were small. While this type of effect may matter in the long run (e.g. when exposure is
chronic; see Funder & Ozer, 2019), this small size indicates that a substantial part of the mechanism
linking precarity with conspiracy beliefs remains to be explained further. Nonetheless, given the scope
and representativeness of the samples investigated, our results favour plausible key effects of precarity on
socio-political attitudes (trust and conspiracy beliefs), which may have important practical implications.
The introduction of precarity in social psychology allows for designing novel targeted intervention
avenues aimed at countering conspiracy beliefs by targeting their chronic determinants, beyond individual
aspects. For now, interventions aimed at dismantling conspiracy beliefs disproportionately focus on elim-
inating fake-news sharing (e.g. changing individual behaviour on social media), prompting more analytical
mindsets and inoculating individuals with counterarguments before exposure to conspiracy beliefs-related
content (Bago et al., 2020; Bonetto et al., 2018). In other words, interventions targeting conspiracy beliefs
aim to correct flawed logic and reasoning among so-called ‘irrational’ individuals, whereas their imme-
diate environment—and related chronic exposure factors—remain untouched. This may explain why
effect sizes remain small and inconsistent from one study to another (e.g. Roozenbeek et al., 2021), a
consequence maybe of a strong cognitive take on conspiracy beliefs (see van Mulukom et al., 2020 for a
similar argument).
The consequences of failing to implement a sociological social psychology research program (Boutilier
et al., 1980) to investigate conspiracy beliefs may go beyond theoretical losses. A form of cognitive ‘busi-
ness as usual’ prevents us from taking a critical perspective on the underlying causes of conspiracist think-
ing in our societies (Dafermos, 2015), which may have deleterious applied consequences. More specif-
ically, the distraction caused by a focus on individual factors in behavioural science tends to delay and
impede the implementation of effective solutions at the systemic level (Chater & Loewenstein, 2022). As
an illustration let us take research, which shows that conspiracy beliefs about the origins of AIDS/HIV
is higher among Latinos, women and African American groups in the United States (Ross et al., 2006).
While a mainstream cognitive approach would focus on education and analytical reasoning, an analysis
based on our model would lead practitioners to consider the role of structural factors such as discrimina-
tion in fostering precarity among disadvantaged group members. One approach would recommend that
practitioners craft interventions to ‘educate’ individuals, while the other would encourage them to test
public policies addressing the structural causes of conspiracy thinking (discrimination, inclusion, political
rights, economic equality…).
Besides the usefulness of our approach considering precarity in economic terms, much more should
be done to investigate other facets of the phenomenon. As the example above indicates, class is merely
one aspect of the experience of precarity. In fact, it has been argued that identity, ethnicity and gender
all shape experiences of precarity (see, Misra, 2021). This is because precarity is linked with a sense of
ontological insecurity, which pertains to concerns regarding oneself in relationship to the social world, the
stability of one's status, of one's sense of being valued, respected, safe, included—in addition to material
concerns (but see Kinnvall & Mitzen, 2020).
Although we did not directly integrate minority status in our analyses, we believe our models are still
informative in these regards. Minority status is associated with conspiracy beliefs mainly due to experi-
ences of discrimination (Graeupner & Coman, 2017; van Prooijen et al., 2018): it is not causal in and of
itself but because it is a proxy for structural phenomena that lead to inequality of treatment. To the extent
that we accounted for an exhaustive number of variables likely to be affected by structural discrimination
(e.g. subjective health, satisfaction with life, income, social status, education…), the robust link between
precarity and conspiracy beliefs provides evidence for the role of ontological insecurity as a driver of
such beliefs across groups. As a side note, in such a statistical context, assuming an effect of minority
status (devoid of its structural component) would implicitly offer support to questionable assumptions
regarding the existence of biological differences between groups (reproducing a colonial research agenda,
see ANONYMIZED_C, 2022).
PReCARITY AND CONSPIRACY BelIeFS 17
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To explore thoroughly the multiple aspects of precarity, however, would require the construction of
proper indicators, which may not be captured only through quantitative means. A more socially relevant
social psychology of conspiracy beliefs (Giner-Sorolla, 2019) entails investigating precarity as a broader
construct, which ultimately calls for a mixed-methods approach in future research (e.g.Levy Paluck, 2010).
CONCLUSION
Our study of economic precarity suggests that implementing solutions at the socio-economic level could
prove efficient in fighting conspiracy beliefs. Within the boundaries of our studies' limitations, we, there-
fore, propose that using tools derived from applied economics (e.g. systematic targeted randomized field
studies with income allocations, see Duflo & Banerjee, 2011) may, for instance, help to radically fight
the current spread of vaccine scepticism and xenophobic populism. Beyond conspiracy beliefs and their
consequences, the current lack of research on precarity in social psychology may impede the progress
of crucial work in the areas of inequalities, social justice and intergroup relations. By highlighting the
contextual aspects and volatile nature of experiences of insecurity in several life domains (Ettlinger, 2007;
Philo et al., 2019; Söderström, 2019), which may affect societal and intergroup attitudes, precarity as a
construct holds the potential to help craft ever more powerful interventions. A true social psychology
of precarity holds the promise of achieving a paradigmatic change by displacing the research focus from
individual-level determinants to structural-level factors, too often overlooked by social psychologists (see
Oishi et al., 2009). As Bourdieu (1998) wrote: “to change one's life, one has to change political life.”
AUTHOR CONTRIBUTIONS
Maria Chayinska: Conceptualization; data curation; investigation; methodology; project administra-
tion; validation; writing – original draft; writing – review and editing. Maria Paola Paladino: Concep-
tualization; investigation; methodology; project administration; writing – review and editing. Özden
Melis Uluğ: Conceptualization; investigation; methodology; writing – review and editing. Jeroen Vaes:
Conceptualization; investigation; methodology; writing – review and editing. Pascal Wagner-Egger:
Methodology; project administration; writing – review and editing.
CONFLICT OF INTEREST
All authors declare no conflict of interest.
DATA AVAILABILITY STATEMENT
Supplementary materials, analyses and all data underlying our findings can be openly
accessed and downloaded through the Open Science Framework platform at https://osf.
io/93f5d/?view_only=1b927686808346e385d5e2dedbede4be.
ORCID
Jais Adam-Troian https://orcid.org/0000-0003-2285-4114
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How to cite this article:Adam-Troian,J.,Chayinska,M.,Paladino,M.P.,Uluğ,Ö.M.,Vaes,J.&
Wagner-Egger, P. (2022). Of precarity and conspiracy: Introducing a socio-functional model of
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