This is a repository copy of Video game loot boxes are linked to problem gambling :
Results of a large-scale survey.
White Rose Research Online URL for this paper:
http://eprints.whiterose.ac.uk/139116/
Version: Published Version
Article:
Zendle, David Isaac and Cairns, Paul Antony orcid.org/0000-0002-6508-372X (2018)
Video game loot boxes are linked to problem gambling : Results of a large-scale survey.
PLoS ONE. ISSN 1932-6203
https://doi.org/10.1371/journal.pone.0206767
eprints@whiterose.ac.uk
https://eprints.whiterose.ac.uk/
Reuse
This article is distributed under the terms of the Creative Commons Attribution (CC BY) licence. This licence
allows you to distribute, remix, tweak, and build upon the work, even commercially, as long as you credit the
authors for the original work. More information and the full terms of the licence here:
https://creativecommons.org/licenses/
Takedown
If you consider content in White Rose Research Online to be in breach of UK law, please notify us by
emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request.
RESEARCH ARTICLE
Video game loot boxes are linked to problem
gambling: Results of a large-scale survey
David ZendleID
1
*, Paul Cairns
2
1Department of Computer Science, York St. John University, York, North Yorkshire, United Kingdom,
2Department of Computer Science, University of York, York, North Yorkshire, United Kingdom
*d.zendle@yorksj.ac.uk
Abstract
Loot boxes are items in video games that can be paid for with real-world money and contain
randomised contents. In recent years, loot boxes have become increasingly common.
There is concern in the research community that similarities between loot boxes and gam-
bling may lead to increases in problem gambling amongst gamers. A large-scale survey of
gamers (n = 7,422) found evidence for a link (
2
= 0.054) between the amount that gamers
spent on loot boxes and the severity of their problem gambling. This link was stronger than a
link between problem gambling and buying other in-game items with real-world money (
2
=
0.004), suggesting that the gambling-like features of loot boxes are specifically responsible
for the observed relationship between problem gambling and spending on loot boxes. It is
unclear from this study whether buying loot boxes acts as a gateway to problem gambling,
or whether spending large amounts of money on loot boxes appeals more to problem gam-
blers. However, in either case these results suggest that there may be good reason to regu-
late loot boxes in games.
Introduction
Loot boxes are virtual items in video games that contain randomised contents but can be paid
for with real-world money. They are available for players to buy in popular games like Over-
watch (40 million players [1]), Rocket League (40 million players [2]), and Counter-Strike:
Global Offensive (Over 25 million players [3]). It is estimated that the total amount of revenue
generated by loot boxes this year will be approximately $30 billion [4].
The widespread availability of loot boxes in modern video games has led to questions over
whether they should be regulated as a form of gambling. As noted in [5], many of the charac-
teristics of loot boxes are commonly associated with gambling. Both when gambling and when
buying loot boxes, individuals stake money on the outcome of a future event, whose result is
determined at least partially by chance in the hopes of receiving a valuable reward.
Various regulatory organisations have therefore had to recently decide whether they con-
sider loot boxes to legally constitute a form of gambling. This has resulted in a broad spread of
decisions. Earlier this year the Belgium Gambling Commission ruled that some loot boxes
were in violation of national gambling legislation [6]. More specifically, they ruled that any
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 1 / 12
a1111111111
a1111111111
a1111111111
a1111111111
a1111111111
OPEN ACCESS
Citation: Zendle D, Cairns P (2018) Video game
loot boxes are linked to problem gambling: Results
of a large-scale survey. PLoS ONE 13(11):
e0206767. https://doi.org/10.1371/journal.
pone.0206767
Editor: George Joseph Youssef, Deakin University,
AUSTRALIA
Received: August 9, 2018
Accepted: October 18, 2018
Published: November 21, 2018
Copyright: ©2018 Zendle, Cairns. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Data Availability Statement: All relevant data are
within the manuscript and its Supporting
Information files.
Funding: The authors received no specific funding
for this work.
Competing interests: The authors have declared
that no competing interests exist.
loot box that can be paid for with real-world money constituted a form of gambling and have
ordered that they be removed from video games in Belgium[7]. The Netherlands has similarly
ruled that some loot boxes are a form of gambling. However, in contrast to Belgium, they have
classified any loot boxes whose contents can be redeemed for real-world money as a form of
gambling [8]. Contrastingly, France’s online gambling authority ARJEL have ruled that all loot
boxes do not legally constitute a form of gambling as there is no financial value to items that
can be won in loot boxes [9]. Controversy over the legal status of loot boxes seems set to con-
tinue for the foreseeable future, with bills proposed in recent months in both Washington and
Hawaii to regulate games that contain loot boxes [10] [11]. A deeper overview of the various
legal issues surrounding loot boxes is presented in [12].
Connected to legal arguments about the status of loot boxes are questions about the effects
of loot boxes on gamers. More specifically, there is concern in the academic community that
similarities between loot boxes and gambling may lead to problem gambling amongst gamers.
Problem gambling can be defined as a pattern of gambling activity which is so extreme that it
causes an individual to have problems in their personal, family, and vocational life [13]. These
issues range from domestic abuse [14] and intimate partner violence [15] to involvement in
illegal activities [16], increased medical costs [17], and suicidality [18]. Problem gambling is
typically described as being both excessive and involuntary.
Problem gambling is thought to often be caused by individuals being conditioned by the
arousing features of gambling to the point that their need for the excitement of gambling
becomes harmful both to themselves and to others [19]. There is reason to believe that such
conditioning may occur because of loot box use. In [20], Drummond and Sauer analysed 22
games which featured loot boxes in order to determine if these games had characteristics of
gambling that are necessary for such conditioning, and could therefore form a gateway for
gamers to become problem gamblers. Their analysis concluded that “in the way they encour-
age and sustain user engagement, loot-box systems share important structural and psychologi-
cal similarities with gambling”. They recommended regulation of some specific forms of loot
boxes in games, lest they create a “ripe breeding ground” for problem gambling amongst
gamers.
Conversely, it may be the case that similarities between loot boxes and gambling are the
root of a different relationship between problem gambling and loot box use. As noted above,
problem gambling is characterised by an excessive and harmful involvement with gambling
activities. There are key similarities between loot boxes and gambling. These similarities may
cause individuals who are already problem gamblers to spend large amounts of money on buy-
ing loot boxes in games, just as they would spend large amounts of money on other forms of
gambling. If loot boxes are attractive to those with problem gambling behaviours, they pose a
serious moral question for the games companies who profit from them.
However, criticism of loot boxes has been roundly rebuffed by representatives of the games
industry, with the ESRB recently claiming that there was insufficient evidence to state that loot
boxes had negative consequences for gamers. They instead declared that “we do not consider
loot boxes to be gambling for various reasons . . . loot boxes are more comparable to baseball
cards, where there is an element of surprise and you always get something.” [21].
The position that there is currently no strong evidence of a link between loot box use and
problem gambling is tenable. Loot boxes, whilst extremely widespread, are a relatively recent
phenomenon. In [22], Macey and Hamari found a potentially important link between problem
gambling and loot boxes spending amongst eSports spectators. Whilst the authors suggested
that due to the composition of their sample their results were not generalisable to the wider
population of gamers, they noted “a need for increased attention, from academia and regula-
tors, regarding newly emergent gambling behaviours in contemporary digital culture”. Aside
Video game loot boxes are linked to problem gambling: Results of a large-scale survey
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 2 / 12
from the research outlined above, there is no current empirical study in existence that exam-
ines the relationship between loot boxes and problem gambling. Such work is urgently needed.
In a recent editorial to Addiction [23], King and Delfabbro called on the community to imme-
diately begin work that investigates whether there are any links between loot box use and gam-
ing-related harm. These concerns about the effects of loot boxes on gamers are echoed by
policymakers, with the Australian Senate recently authorising a committee enquiry into the
extent to which loot boxes may be harmful to their players [24].
The research that is presented below addresses this lack of research and provides evidence
that is of direct relevance to ratings boards and gambling regulators. With reference to spend-
ing, it is important to note that some games can also feature loot boxes that are not bought
with real-world money. As the primary issue in the regulatory community is around whether
loot boxes are gambling, we have focused on loot boxes which require monetary outlay by the
players, and the spending associated with these loot boxes. There may be deeper concerns
about such ‘unpaid openings’ leading to problematic behaviour more akin to gambling. This is
not our immediate concern.
We surveyed a large international sample of gamers (n = 7,422) and measured both how
much these individuals spent on loot boxes, and the severity of their problem gambling. By
doing so we established both the existence, the size, and the importance of links between pur-
chasing loot boxes and problem gambling.
Method
Design
We conducted an online survey with a self-selected sample of gamers aged 18 or older. This
survey was available only in English. Participants were recruited via reddit, a popular online
bulletin board. The recruitment message stated that we were interested in understanding links
between loot boxes and gambling, and that gamers could take part regardless of whether they
had previously purchased loot boxes. Participants were not remunerated for their participa-
tion. A total of 29 links to the survey were placed on a variety of gaming-related special interest
pages (or ‘subreddits’) on this site.
Demographic details about participants were collected, as were quantitative measures of
problem gambling,loot box spending,and other microtransaction spending.
This research was ethically approved by the Cross-School Research Ethics Committee for
the Schools of Art, Design & Computer Science of York St. John University. A statement from
this internal review board to this effect is available from the authors on request.
Problem gambling was measured using the Problem Gambling Severity Index (PGSI) [25].
This nine-item instrument contains a series of questions about how frequently individuals
have engaged in a variety of gambling-related behaviours in the past 12 months (e.g. ‘Have you
needed to gamble with larger amounts of money to get the same feeling of excitement?’, ‘Have
you borrowed money or sold anything to get money to gamble?’).
Individuals must indicate how frequently they engage in these activities on a four-point
scale ranging from ‘Never’ to ‘Almost Always’. These responses are each scored from 0–3, with
their sum forming a total score ranging from 0 to 27. The severity of participants’ problem
gambling is then classified on the basis of these scores, using the revised scoring system pre-
sented in [26]: Individuals who score 0 are classified as ‘non problem gamblers’; those who
score 1–4 are classified as ‘low-risk gamblers’; those who score 5–7 are classified as ‘moderate-
risk gamblers’; and those who score 8+ are classified as ‘problem gamblers’.
Loot box spend was measured using a series of two questions. Participants were first asked
whether they had ever bought a loot box in a video game (Yes/No). If they indicated that they
Video game loot boxes are linked to problem gambling: Results of a large-scale survey
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 3 / 12
had bought a loot box, they were asked “Approximately how much money in US dollars would
you say that you spend on loot boxes each month?”. This was the exact wording of the ques-
tion, with no date range specified. This question had 13 possible responses: (1) Less than $1;
(2) $1-$5; (3) $5-$10; (4) $10-$15; (5) $15-$20; (6) $20-$30; (7) $30-$40; (8); $40-$50; (9) $50-
$75; (10) $75-$100; (11) $100-$200; (12) $200-$300; (13) Greater than $300. For the purposes
of analysis, those who indicated in the first question that they had never bought a loot box in a
game were coded as (0).
Other in-game microtransaction spend was measured to check whether any observed rela-
tionship between loot box spend and problem gambling was due to the specific features of loot
boxes, and not due to individuals who were problem gamblers spending more money in
general.
This variable was measured in a similar way to loot box spend. Participants were first
asked “Have you ever bought any other item or product in a game using real-world
money? (Excluding loot boxes)” (Yes/No). If they indicated that they had bought an item
which was not a loot box, they were then asked “Approximately how much money in US
dollars would you say that you spend on these items per month? (Excluding loot boxes)”.
This was the exact wording of the question, with no date range specified. This question
had the same 13 possible responses as the measure of loot box use: (1) Less than $1; (2) $1-
$5; (3) $5-$10; (4) $10-$15; (5) $15-$20; (6) $20-$30); (7) $30-$40; (8); $40-$50; (9) $50-
$75); (10) $75-$100; (11) $100-$200; (12) $200-$300; (13) Greater than $300. For the pur-
poses of analysis, as with loot box spend,those who indicated that they had never engaged
in in-game microtransactions were coded as (0) No further filter questions were incorpo-
rated into this study.
Participants
14,182 responses were collected in total from gamers. 3173 participants did not give details of
their ages and were removed from the study prior to analysis for ethical reasons. 872 partici-
pants listed their ages as numbers less than 18, and were removed from the study prior to anal-
ysis for ethical reasons. Two participants listed their ages as numbers greater than 120, were
deemed non-serious and were removed from analysis. Two participants listed their monthly
spend on gambling as greater than $1,000,000, and 9 participants listed their monthly spend
on gambling as a negative number. They were deemed non-serious and removed from analy-
sis. 2,702 incomplete responses were removed from the study and not analysed. This left a total
of 7,422 responses.
Most participants had engaged in both purchasing loot boxes and buying other in-game
items with real-world money. 5793 (78%) of the participants had bought a loot box in a video
game, whilst 1629 had not. 6441 (87%) participants had bought an item other than a loot
box in a video game using a microtransaction, whilst 981 participants had not.
Most participants, 6,612 (89%), described themselves as male and 694 (9%) as female.
Nearly half of the participants (3,589, 48%) were 18–24. 2,066 (27.8%) were aged 25–29; 1,061
(14.3%) were aged 30–34; 444 (6.0%) were aged 35–39; only 262 (3.5%) were in the age groups
above 45. Whilst this sample may seem overly skewed towards the presence of young males, it
is important to note that it is similar in composition to other studies of gamers in the literature
(e.g. [22], [27])
There was no dominant group in terms of annual household income. Incomes ranged from
less than $10,000 pa to above $100,000 pa. Most participants were from the US (3290, 44%),
UK (572, 8%) and Canada (525, 7%). 382 participants (5%) did not state their nationality.
Additionally, there were respondents from 92 other countries.
Video game loot boxes are linked to problem gambling: Results of a large-scale survey
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 4 / 12
Results
A box plot showing the relationship between loot box spend and problem gambling is pre-
sented below as Fig 1. A box plot showing the relationship between other microtransaction
spend and problem gambling is presented below as Fig 2. Means and standard deviations for
each variable are presented below as Table 1.
The effects of problem gambling (non problem gamblers, low-risk gamblers, moderate-risk
gamblers, problem gamblers) on loot box spend were tested via a Kruskal Wallis H Test.
Results indicated that there was a statistically significant effect of problem gambling on loot
box spending,
2
(3) = 284.255, p<0.001,
2
= 0.054.
Pairwise comparisons were then conducted to measure the effects of problem gambling
on loot box spending between all groups of problem gamblers via a series of 6 Mann-
Whitney U tests. Bonferroni corrections were applied to the results of these tests, lowering
the alpha level of the tests to 0.05/6, or 0.008. The results of these comparisons are reported
below as Table 2.
The effects of problem gambling (non problem gamblers, low-risk gamblers, moderate-risk
gamblers, problem gamblers) on other microtransaction spend in games were then tested via a
Kruskal Wallis H-Test. Results indicated that there was a statistically significant effect of prob-
lem gambling on other microtransaction spending,
2
(3) = 38.622, p<0.001,
2
= 0.004.
Pairwise comparisons were then conducted to measure the effects of problem gambling on
other microtransaction spending between all groups of problem gamblers via a series of 6
Mann-Whitney U tests. Bonferroni corrections were applied to the results of these tests, raising
Fig 1. Box-plot of spend on loot boxes, split by severity of problem gambling. Hinges represent 25
th
and 75
th
percentiles. Whiskers represent 1.5 times the IQR.
Cental line represents the median. Circles represent outliers.
https://doi.org/10.1371/journal.pone.0206767.g001
Video game loot boxes are linked to problem gambling: Results of a large-scale survey
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 5 / 12
the alpha level of the tests to 0.05/6, or 0.008. The results of these comparisons are reported
below as Table 3.
Discussion
The results of this study suggest that there is an important relationship between problem gam-
bling and the use of loot boxes. The more severe that participants’ problem gambling was, the
Fig 2. Box-plot of spend on other micro-transactions in games, split by severity of problem gambling Hinges represent 25
th
and 75
th
percentiles. Whiskers
represent 1.5 times the IQR. Cental line represents the median. Circles represent outliers.
https://doi.org/10.1371/journal.pone.0206767.g002
Table 1. Means and standard deviation of both loot box spending and other microtransaction spending, split by problem gambling severity. Standard deviations in
brackets. The spend statistics reported here are mean categories, rather than a conversion into dollar figures. Relevant categories for each mean score are given below each
statistic.
Loot box spend Other microtransaction spend N
Non problem gamblers 2.41 (2.57)
Category 2: $1-$5
Category 3: $5-$10
2.69 (2.36)
Category 2: $1-$5
Category 3: $5-$10
5726
Low-risk gamblers 3.67 (3.12)
Category 3: $5-$10
Category 4: $10-$15
3.04 (2.61)
Category 3: $5-$10
Category 4: $10-$15
1422
Moderate-risk gamblers 4.96 (3.77)
Category 4: $10-$15
Category 5: $15-$20
4.03 (3.38)
Category 4: $10-$15
Category 5: $15-$20
170
Problem gamblers 6.47 (4.01)
Category 6: $20-$30
Category 7: $30-$40
3.57 (3.54)
Category 3: $5-$10
Category 4: $10-$15
104
Total 2.77 (2.84)
Category 2: $1-$5
Category 3: $5-$10
2.80 (2.47)
Category 2: $1-$5
Category 3: $5-$10
7422
https://doi.org/10.1371/journal.pone.0206767.t001
Video game loot boxes are linked to problem gambling: Results of a large-scale survey
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 6 / 12
more money they spent on loot boxes. Non problem gamblers spent the least amount of
money on loot boxes (mean = 2.41, Category 2 = $1 - $5, Category 3 = $5-$10); low-risk gam-
blers spent more (mean = 3.67, Category 3 = $5 - $10, Category 4 = $10-$15); moderate-risk
gamblers spent yet more (mean = 4.96, Category 4 = $10 - $15, Category 5 = $15-$20); and
problem gamblers spent the most of all on loot boxes (mean = 6.47, Category 6 = $20 - $30,
Category 7 = $30-$40).
This is not a weak or unimportant relationship. The overall effect of problem gambling on
loot box spending was measured at
2
= 0.054, indicating that it is of small-to-medium size
[28]. Effects of this magnitude commonly bear practical, as well as statistical significance [29].
Indeed, the relationship observed here is stronger than relationship between problem gam-
bling and several common risk factors in the gambling literature. For instance, it is stronger
than the relationship between problem gambling and depression (Rho = 0.10, equivalent
d = 0.063) and major drug problems (r = 0.12, equivalent d = 0.238) [30]. It is comparable in
strength to the relationship between problem gambling and current alcohol dependence
(r = 0.25, equivalent to d = 0.516) [31]. If the relationship between loot box spending and prob-
lem gambling was of a significantly smaller magnitude than important risk factors in the litera-
ture, it would be possible to dismiss the effects of any link between loot box spending and
problem gambling as trivial and of little practical importance. However, this is clearly not the
case.
Furthermore, the pairwise comparisons that were conducted to clarify the effects of the ini-
tial analysis paint an even starker picture of the relationship between problem gambling and
loot box use. They show that every increase in classification of problem gambling severity
amongst gamers comes with an associated increase in loot box spending.
The strength of the relationship observed here was specific to loot boxes. It did not apply to
other kinds of spending in video games. Whilst a significant relationship was observed
between problem gambling and other microtransaction spend in games, it was much weaker
(
2
= 0.004) than the relationship between problem gambling and loot boxes. In other words,
Table 2. Pairwise comparisons of the effects of problem gambling on loot box spending. Effects that are significant
at the p<0.008 level are marked with a �.
Pairwise comparison groups U p-value Cohen’s d
Non problem gamblers vs. low-risk gamblers 3004462 <0.001�0.368
Non problem gamblers vs. moderate-risk gamblers 282036.5 <0.001�0.246
Non problem gamblers vs. problem gamblers 119725 <0.001�0.277
Low-risk gamblers vs. moderate-risk gamblers 97550.5 <0.001�0.207
Low-risk gamblers vs. problem gamblers 43479.5 <0.001�0.365
Moderate-risk gamblers vs. problem gamblers 6875 0.002�0.38
https://doi.org/10.1371/journal.pone.0206767.t002
Table 3. Pairwise comparisons of the effects of problem gambling on other microtransaction spending. Effects
that are significant at the p<0.008 level are marked with a �.
Pairwise comparison groups U p-value Cohen’s d
Non problem gamblers vs. low-risk gamblers 3781297.5 <0.001�0.099
Non problem gamblers vs. moderate-risk gamblers 379105 <0.001�0.128
Non problem gamblers vs. problem gamblers 267593.5 0.072 0.046
Low-risk gamblers vs. moderate-risk gamblers 102252 0.001�0.165
Low-risk gamblers vs. problem gamblers 71167.5 0.517 0.033
Moderate-risk gamblers vs. problem gamblers 7965.5 0.166 0.167
https://doi.org/10.1371/journal.pone.0206767.t003
Video game loot boxes are linked to problem gambling: Results of a large-scale survey
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 7 / 12
increases in problem gambling corresponded to increases in the amount spent on other micro-
transactions in games. However, these increases were much smaller than the increases in
spending that were associated with loot box use: For example, the difference in spending on
microtransactions between non problem gamblers and problem gamblers was of d = 0.046 –
more than 5 times smaller than the effect of problem gambling on spending on loot boxes
between these groups.
Further work
The effects that are reported here are of practical significance and bear important weight for
policy-makers. However, this is amongst the first research that looks at relationships between
problem gambling and loot boxes, and it is important to acknowledge the limitations of this
study and point to further work that is necessary to build on these findings.
The primary limitation of this study is its correlational nature. As described above, it is
impossible to understand the direction of the causal relationship between loot box spending
and problem gambling from the results reported here. To determine which way this relation-
ship flows, significant further longitudinal and experimental work is needed.
An additional limitation relates to the unblinded nature of the sample who took part in this
research. Whilst participants were not aware of the specific aims of this study, they did know
that it related to both loot boxes and gambling. This knowledge may have influenced their
reporting. For example, they may have reported either greater or lesser levels of gambling and/
or loot box spending due to the belief that these things were expected by the researchers. Fur-
ther work is needed to determine whether the size of the relationships observed here replicates
to situations where participants are entirely unaware of the study’s aims.
Furthermore, both the self-selected nature of the sample and the fact that participants were
recruited from the online bulletin board ‘reddit’ may also limit the generalisability of these
findings. For example, participants who were particularly concerned about how their loot
box use might be affecting their gambling might have been disproportionately represented in
our sample, influencing our results. Similarly, the kind of gamers who are likely to be recruited
via reddit may not be representative of gamers. However, it is important to note that the data
suggest that both of these situations seem unlikely: Not only (as noted in the Method) was the
composition of our sample similar to other studies in the field in terms of age and gender, but
the proportion of problem gamblers that were observed in the study is similar (at approxi-
mately 0.1% of the sample) to estimations of the general prevalence of problem gambling,
which place problem gambling as occurring at between 0.4% and 1.3% of the general popula-
tion [26]. However, further work is still needed to confirm that these effects replicate across
other groups of gamers.
An additional limitation of this study was that we asked participants to indicate their level of
spend on an ordinal set of categories. These categories are not evenly spaced because of the poten-
tial for a long-tail in this sort of data. This form of data collection gives an inherent degree of mea-
surement error. However, it is frequently seen in studies of this sort (e.g. [32–34]). It is important
to note that the reduction to a limited set of ordinal values acts to restrict any differences seen.
The effects in terms of actual spend could in fact be substantially greater than those observed here.
This ordinal scale is therefore conservative as a way to estimate effects in this domain. Further
work is needed to determine whether measurement of spend in absolute dollar values captures a
larger effect size from the population than the method used here.
Finally, given the limitation of this study to consider only paid loot box opening and not
consider relationships of problem gambling with unpaid loot boxes, it would be very impor-
tant to examine these separately and so extend our findings. Furthermore, whilst we defined
Video game loot boxes are linked to problem gambling: Results of a large-scale survey
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 8 / 12
loot boxes in the context of this research as items that are paid for with real-world money,
some participants of the study who only used unpaid openings may have still taken part and
been merged into the ‘less than $1’ spending option. Further work that examines the specific
relationship between unpaid openings and problem gambling in separation from paid open-
ings may lead to a better understanding of the pathways between problem gambling and loot
box behaviours if the relation found here extends to this wider class of loot boxes.
Conclusions
This research provides empirical evidence of a relationship between loot box use and problem
gambling. The relationship seen here was neither small, nor trivial. It was stronger than previ-
ously observed relationships between problem gambling and factors like alcohol abuse, drug
use, and depression. Indeed, sub-group analyses revealed that an individual’s classification as
either a non problem gambler or a problem gambler accounted for 37.7% of the variance in
how much they spent on loot boxes.
These results may confirm the existence of the causal relationship between buying loot
boxes and problem gambling that was theoretically proposed in [20]. Due to the formal fea-
tures that loot boxes share with other forms of gambling, they may well be acting as a ‘gateway’
to problem gambling amongst gamers. Hence, the more gamers spend on loot boxes, the more
severe their problem gambling becomes.
However, it is important to note that this is not the only causal relationship which fits the
data. It may be the case that individuals who are already problem gamblers instead tend to
spend more on loot boxes. There are good reasons why this might be the case. Loot boxes
share key similarities with other kinds of gambling. Since problem gambling is characterised
by uncontrollable and disordered spending on gambling activities, this lack of control and
excess in spending may apply to loot boxes too. Hence, the more severe a gamer’s problem
gambling, the more they spend on loot boxes. If this is the case, then loot boxes in digital
games would be providing less of a ‘breeding ground’ for problem gambling. They would
instead be providing another outlet for individuals who are already problem gamblers to
engage in harmful and excessive gambling-related behaviour.
Due to the correlational nature of this research, it is impossible to tease apart whether we are
seeing a situation in which spending on loot boxes leads to problem gambling, or whether we are
seeing a situation in which problem gambling leads to spending on loot boxes. It may, indeed be
the case that both directions of causality are true: Problem gamblers spend more on loot boxes,
whilst buying loot boxes simultaneously leads to increases in problem gambling amongst gamers.
However, regardless of which of these outcomes is the case, this research bears an important
message when it comes to the regulation of loot boxes within the gaming industry. Industry
analysts predict that loot boxes will drive a large proportion of the revenue generated in the
$230 billion [35] video game economy by 2022. Gamers are already projected to spend approx-
imately $30 billion on loot boxes this year alone, with this figure rising to $50 billion over the
next four years [4]. It may be the case that this spending is leading to problem gambling. It
may be that this level of spending is driven by pre-existing problem gambling amongst gamers.
Further experimental and longitudinal work is required to establish the direction of this causal
relationship. However, in either case, this research provides industry bodies such as the ESRB
with crucial evidence to use when determining whether there is still insufficient evidence of
links between problem gambling and loot box use.
This study shows a relationship between loot box spending and problem gambling. We
believe that the strength and direction of this relationship indicates that regulation of loot
boxes is appropriate and necessary. For example, as suggested by [20], ratings agencies such as
Video game loot boxes are linked to problem gambling: Results of a large-scale survey
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 9 / 12
the ESRB and PEGI may wish to incorporate additional parental advisories into games that
feature loot boxes, and may consider restricting access to games that feature loot boxes to play-
ers of legal gambling age.
Furthermore, we believe that the strength of the relationship that was observed here
between problem gambling and loot box spending suggests that important gambling-related
harm is experienced by users of loot boxes. We strongly recommend that relevant national and
federal regulatory authorities consider restricting access to loot boxes as if they were a form of
gambling.
Whether loot boxes fulfil the technical requirements to be classified as gambling is a legal
matter that will vary from territory to territory and from country to country. However, the evi-
dence presented here clearly shows that there is a very real relationship between loot
box spending and problem gambling. It is our opinion that this relationship remains serious
and potentially dangerous regardless of whether loot boxes are technically considered a form
of gambling or not.
Supporting information
S1 File. Survey results in SPSS SAV format (PLOS ONE Data Loot Boxes.sav).
(SAV)
S2 File. Survey results in SPSS Excel format (PLOS ONE Data Loot Boxes.xlsx).
(XLSX)
Author Contributions
Conceptualization: David Zendle.
Data curation: David Zendle.
Formal analysis: David Zendle, Paul Cairns.
Investigation: David Zendle.
Methodology: David Zendle.
Project administration: David Zendle.
Resources: David Zendle.
Supervision: David Zendle.
Writing – original draft: David Zendle.
Writing – review & editing: David Zendle, Paul Cairns.
References
1. Moore B, “Overwatch has more than 40 million players,” PC Gamer. [Online]. Available: https://www.
pcgamer.com/overwatch-has-more-than-40-million-players/. [Accessed: 29-Jun-2018].
2. Williams M, “Rocket League Crosses 40 Million Players Worldwide,” USgamer, 03-Jan-2018.
3. Scott-Jones R, “With 25 million sold, is CS:GO the bestselling game on PC?,” PCGamesN, Oct-2016.
[Online]. Available: https://www.pcgamesn.com/counter-strike-global-offensive/csgo-bestselling-pc-
game-minecraft. [Accessed: 15-Jul-2018].
4. Juniper Research, “In-Game Gambling ~ The Next Cash Cow for Publishers,” Apr-2018. [Online]. Avail-
able: https://www.juniperresearch.com/document-library/white-papers/in-game-gambling-~-the-next-
cash-cow. [Accessed: 15-Jul-2018].
5. Griffiths MD, “Is the buying of loot boxes in video games a form of gambling or gaming?,” Gaming Law
Rev., vol. 22, no. 1, pp. 52–54, 2018.
Video game loot boxes are linked to problem gambling: Results of a large-scale survey
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 10 / 12
6. Lee D, “Video game gambling banned in Belgium,” BBC News, 26-Apr-2018.
7. Geens K, “Loot boxen in drie videogames in strijd met kansspelwetgeving,” Koen Geens, 25-Apr-2018.
[Online]. Available: https://www.koengeens.be/news/2018/04/25/loot-boxen-in-drie-videogames-in-
strijd-met-kansspelwetgeving. [Accessed: 13-Sep-2018].
8. Yin-Poole W, “The Netherlands declares some loot boxes are gambling,” Eurogamer, 19-Apr-2018.
9. Calvin A, “French regulators say loot boxes aren’t gambling but still require further investigation,” pcga-
mesinsider.biz, Jul-2018. [Online]. Available: http://www.thevirtualreport.biz/news/67392/french-
regulators-say-loot-boxes-arent-gambling-but-still-require-further-investigation/. [Accessed: 15-Jul-
2018].
10. Orland K, “No video game loot boxes for buyers under 21, say proposed Hawaii bills,” Ars Technica, 13-
Feb-2018. [Online]. Available: https://arstechnica.com/gaming/2018/02/no-video-game-loot-boxes-for-
buyers-under-21-says-proposed-hawaii-bills/. [Accessed: 29-Jun-2018].
11. Orland K, “The legislative fight over loot boxes expands to Washington state,” Ars Technica, 25-Jan-
2018. [Online]. Available: https://arstechnica.com/gaming/2018/01/the-legislative-fight-over-loot-
boxes-expands-to-washington-state/. [Accessed: 29-Jun-2018].
12. Macey J and Hamari J, “eSports, skins and loot boxes: Participants, practices and problematic behav-
iour associated with emergent forms of gambling,” New Media Soc., p. 1461444818786216, Jul. 2018.
13. Raylu N and Oei TP, “Role of culture in gambling and problem gambling,” Clin.Psychol.Rev., vol. 23,
no. 8, pp. 1087–1114, 2004. PMID: 14729424
14. Shaw MC, Forbush KT, Schlinder J, Rosenman E, and Black DW, “The effect of pathological gambling
on families, marriages, and children,” CNS Spectr., vol. 12, no. 8, pp. 615–622, Aug. 2007. PMID:
17667890
15. Muelleman RL, DenOtter T, Wadman MC, Tran TP, and Anderson J, “Problem gambling in the partner
of the emergency department patient as a risk factor for intimate partner violence11Violence: Recogni-
tion, Management and Prevention is coordinated by Ellen H. Taliaferro, MD, of San Francisco General
Hospital, San Francisco, California,” J.Emerg.Med., vol. 23, no. 3, pp. 307–312, Oct. 2002. PMID:
12426027
16. Potenza MN, Steinberg MA, McLaughlin SD, Wu R, Rounsaville BJ, and O’Malley SS, “Illegal behaviors
in problem gambling: analysis of data from a gambling helpline.,” J.Am.Acad.Psychiatry Law, 2000.
17. Ladouceur R, Boisvert JM, Pe
´pin M, Loranger M, and Sylvain C, “Social cost of pathological gambling,”
J.Gambl.Stud., vol. 10, no. 4, pp. 399–409, 1994. https://doi.org/10.1007/BF02104905 PMID:
24234973
18. Petry NM and Kiluk BD, “Suicidal ideation and suicide attempts in treatment-seeking pathological gam-
blers,” J.Nerv.Ment.Dis., vol. 190, no. 7, p. 462, 2002. https://doi.org/10.1097/01.NMD.0000022447.
27689.96 PMID: 12142848
19. Blaszczynski A and Nower L, “A pathways model of problem and pathological gambling,” Addiction, vol.
97, no. 5, pp. 487–499, 2002. PMID: 12033650
20. Drummond A and Sauer JD, “Video game loot boxes are psychologically akin to gambling,” Nat.Hum.
Behav., p. 1, Jun. 2018.
21. ESRB, “ESRB Response to Senator Hassan,” Scribd, Feb-2018. [Online]. Available: https://www.
scribd.com/document/372547777/ESRB-Response-to-Senator-Hassan. [Accessed: 29-Jun-2018].
22. Macey J and Hamari J, “Investigating relationships between video gaming, spectating esports, and
gambling,” Comput.Hum.Behav., vol. 80, pp. 344–353, Mar. 2018.
23. King DL and Delfabbro PH, “Predatory monetization schemes in video games (e.g. ‘loot boxes’) and
internet gaming disorder,” Addiction, vol. 0, no. 0, Jun. 2018.
24. Walker A, “Australian Senate Inquiry Into Loot Boxes Will Report By September 17,” Kotaku Australia,
28-Jun-2018. [Online]. Available: https://www.kotaku.com.au/2018/06/australian-senate-inquiry-into-
loot-boxes-will-report-by-september-17/. [Accessed: 29-Jun-2018].
25. Ferris JA and Wynne HJ, The Canadian problem gambling index. Canadian Centre on Substance
Abuse Ottawa, ON, 2001.
26. Currie SR, Hodgins DC, and Casey DM, “Validity of the problem gambling severity index interpretive
categories,” J.Gambl.Stud., vol. 29, no. 2, pp. 311–327, 2013. https://doi.org/10.1007/s10899-012-
9300-6 PMID: 22426971
27. Gainsbury S, Wood R, Russell A, Hing N, and Blaszczynski A, “A digital revolution: Comparison of
demographic profiles, attitudes and gambling behavior of Internet and non-Internet gamblers,” Comput.
Hum.Behav., vol. 28, no. 4, pp. 1388–1398, 2012.
28. Cohen J, Statistical power analysis for the behavioral sciences. 2nd. Hillsdale, NJ: Erlbaum, 1988.
Video game loot boxes are linked to problem gambling: Results of a large-scale survey
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 11 / 12
29. Ferguson CJ, “An effect size primer: A guide for clinicians and researchers.,” Prof.Psychol.Res.Pract.,
vol. 40, no. 5, p. 532, 2009.
30. Feigelman W, Kleinman PH, Lesieur HR, Millman RB, and Lesser ML, “Pathological gambling among
methadone patients,” Drug Alcohol Depend., vol. 39, no. 2, pp. 75–81, Aug. 1995. PMID: 8529535
31. Welte JW, Wieczorek WF, Barnes GM, and Tidwell MCO, “Multiple risk factors for frequent and problem
gambling: Individual, social, and ecological,” J.Appl.Soc.Psychol., vol. 36, no. 6, pp. 1548–1568,
2006.
32. Goldstein AL, Walton MA, Cunningham RM, Resko SM, and Duan L, “Correlates of Gambling Among
Youth in an Inner City Emergency Department,” Psychol. Addict.Behav.J.Soc.Psychol.Addict.
Behav., vol. 23, no. 1, pp. 113–121, Mar. 2009.
33. Hraba J and Lee G, “Gender, gambling and problem gambling,” J.Gambl.Stud., vol. 12, no. 1, pp. 83–
101, 1996. https://doi.org/10.1007/BF01533191 PMID: 24233848
34. Moore SM and Ohtsuka K, “The prediction of gambling behavior and problem gambling from attitudes
and perceived norms,” Soc.Behav.Personal.Int.J., vol. 27, no. 5, pp. 455–466, 1999.
35. Digi-Capital, “Games software/hardware $165B+ in 2018, $230B+ in 5 years, record $2B+ investment
last year,” Jan-2018. [Online]. Available: http://www.digi-capital.com/news/2018/01/games-software-
hardware-165b-in-2018-230b-in-5-years-record-2b-investment-last-year/#.W0tkc9VKiUn. [Accessed:
15-Jul-2018].
Video game loot boxes are linked to problem gambling: Results of a large-scale survey
PLOS ONE | https://doi.org/10.1371/journal.pone.0206767 November 21, 2018 12 / 12