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The ice-breaker effect: Singing mediates fast social bonding

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It has been proposed that singing evolved to facilitate social cohesion. However, it remains unclear whether bonding arises out of properties intrinsic to singing or whether any social engagement can have a similar effect. Furthermore, previous research has used one-off singing sessions without exploring the emergence of social bonding over time. In this semi-naturalistic study, we followed newly formed singing and non-singing (crafts or creative writing) adult education classes over seven months. Participants rated their closeness to their group and their affect, and were given a proxy measure of endorphin release, before and after their class, at three timepoints (months 1, 3 and 7). We show that although singers and non-singers felt equally connected by timepoint 3, singers experienced much faster bonding: singers demonstrated a significantly greater increase in closeness at timepoint 1, but the more gradual increase shown by non-singers caught up over time. This represents the first evidence for an 'ice-breaker effect' of singing in promoting fast cohesion between unfamiliar individuals, which bypasses the need for personal knowledge of group members gained through prolonged interaction. We argue that singing may have evolved to quickly bond large human groups of relative strangers, potentially through encouraging willingness to coordinate by enhancing positive affect.
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Cite this article: Pearce E, Launay J, Dunbar
RIM. 2015 The ice-breaker eect: singing
mediates fast social bonding. R. Soc. open sci.
2:150221.
http://dx.doi.org/10.1098/rsos.150221
Received: 21 May 2015
Accepted: 29 September 2015
Subject Category:
Psychology and cognitive neuroscience
Subject Areas:
behaviour/evolution
Keywords:
social cohesion, aect, endorphin, adult
education, music
Author for correspondence:
Eiluned Pearce
e-mail: eiluned.pearce@psy.ox.ac.uk
Electronic supplementary material is available
at http://dx.doi.org/10.1098/rsos.150221 or via
http://rsos.royalsocietypublishing.org.
The ice-breaker eect:
singing mediates fast
social bonding
Eiluned Pearce, Jacques Launay and Robin I. M. Dunbar
Social & Evolutionary Neuroscience Research Group,Depar tment of Experimental
Psychology, University of Oxford, Oxford, UK
It has been proposed that singing evolved to facilitate social
cohesion. However, it remains unclear whether bonding
arises out of properties intrinsic to singing or whether any
social engagement can have a similar effect. Furthermore,
previous research has used one-off singing sessions without
exploring the emergence of social bonding over time. In this
semi-naturalistic study, we followed newly formed singing
and non-singing (crafts or creative writing) adult education
classes over seven months. Participants rated their closeness to
their group and their affect, and were given a proxy measure
of endorphin release, before and after their class, at three
timepoints (months 1, 3 and 7). We show that although singers
and non-singers felt equally connected by timepoint 3, singers
experienced much faster bonding: singers demonstrated a
significantly greater increase in closeness at timepoint 1, but the
more gradual increase shown by non-singers caught up over
time. This represents the first evidence for an ‘ice-breaker effect’
of singing in promoting fast cohesion between unfamiliar
individuals, which bypasses the need for personal knowledge
of group members gained through prolonged interaction.
We argue that singing may have evolved to quickly bond
large human groups of relative strangers, potentially through
encouraging willingness to coordinate by enhancing positive
affect.
1. Introduction
Creating and maintaining positive social relationships is essential
for human physical and mental health and well-being (e.g.
[14]). Furthermore, social support enhances the survival of an
individual’s children, meaning that being part of a supportive
social network may increase reproductive success [5,6]. Social
networks provide practical and emotional support as well as
providing a means of gaining new information and disseminating
the cultural knowledge crucial for human survival [711].
Nonetheless, group living brings costs as well as advantages,
for instance, competition for resources and an elevated risk of
cuckoldry (e.g. [12]). For our ancestors, individuals who did not
2015 The Authors. Published by the Royal Society under the terms of the Creative Commons
Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted
use, provided the original author and source are credited.
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belong to a cohesive social group would have been unlikely to survive and, consequently, there is likely
to have been strong selection for behaviours that create cohesive social units that remain together despite
these costs [13,14].
Creating and maintaining personal relationships requires sufficient time investment, but finite time
budgets place a limit on the number of personal relationships that an individual can maintain through
one-on-one interactions [1517]. Generating cohesion in large groups, therefore, requires some means of
emotionally connecting many individuals simultaneously, without the need for direct dyadic interaction
[18]. Such cohesion mechanisms are likely to be particularly important in modern humans, who are
capable of sustaining much larger bonded social groups than any other primate [19,20]. However, the
behaviours that have the capacity to perform this role are as yet not well understood. In this paper, we
explore the role of group singing as one of these potential bonding behaviours, asking whether there is
something special about singing, or whether any activity performed in a group context can have a similar
bonding effect through providing opportunities for social engagement.
Singing is found in all human societies and can be performed to some extent by the vast majority of
humans: singing is a universal human behavioural capacity, and this implies that it could have arisen
as an evolutionary adaptation [21,22]. Notably, it has been argued that singing, as well as other musical
activities, may have evolved as a mechanism of social bonding [2325]. Support for this comes from
the association between singing and the release of neuropeptides known to be associated with social
bonding: oxytocin and β-endorphin [2628]. β-Endorphin is implicated in mother–infant bonds, romantic
relationships and social touch in humans [2931], and appears to be released during synchronous
behaviours that involve some physical exertion, such as rowing [32,33], laughter [34] and dancing [28],
particularly in social contexts [35]. As a coordinated and often synchronous activity, for example, in terms
of breath and heart rhythms, as well as timing and pitch [36], it is unsurprising that singing has also been
linked with elevated β-endorphin levels [28].
In addition to the apparent endorphin effect, an expanding body of the literature has consistently
shown that synchronous activity increases subsequent prosocial behaviour and feelings of affiliation
(e.g. [3745]). Furthermore, synchrony is interpreted by observers as a marker of high group cohesion
and entitativity, suggesting that the association between synchrony and group unity is particularly
strong [46,47]. Indeed, qualitative data from singing groups and choirs suggests that social interaction
and a sense of belonging are important positive features of attendance [4850]. Moreover, singing has
been shown to increase positive affect and choir members often report a ‘lift’ in mood after singing
[27,28,5153]. This shared experience of positive mood enhancement can be seen as a further form of
synchronization, preparing performers for further coordinated activity [54].
Overall, the universal nature of human singing and its consistent association with social behaviour
suggests that it could have evolved as a mechanism of bonding social groups. However, as yet it is
unclear whether there is something specific about singing that has a social bonding effect, or whether any
activity that provides the opportunity for social engagement, particularly those that encourage laughter
and thus β-endorphin release [34], would similarly lead to greater feelings of closeness towards a group.
Furthermore, how the bonding process unfolds over time in singing versus other activities remains
unexplored.
In collaboration with an adult education charity, the Workers’ Education Association (WEA), we
followed up the participants attending either newly formed weekly singing classes or newly formed
weekly non-singing classes (crafts or creative writing) over the course of seven months. We collected
data at three timepoints (month 1, month 3 and month 7) and at each timepoint we asked participants to
rate how close they felt to their class as a whole before and after they had taken part in the course activity
(singing or crafts/writing). This allowed us to test the hypotheses that, compared with non-singers,
singers would feel significantly closer to their group both after class compared with before class, and at
the end of the seven-month period. In addition, we tested whether singers felt a greater lift in positive
affect and a greater reduction in negative affect compared with non-singers after class compared with
beforehand. Finally, we tested whether singers showed a greater increase in pain threshold (an indirect
measure of endorphin release [28,3234]) after class compared with beforehand, relative to non-singers.
2. Material and methods
2.1. Sample
The participants in this study comprised learners attending one of seven adult education classes (four
singing classes, two creative crafts classes and one creative writing class) set up by the WEA specifically
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Table 1. Descriptive statistics showing mean closeness (Inclusion of Other in Self score) before and after class, and the change between
the two, at each timepoint for the two conditions, showing standard deviations in parentheses. The multi-level linear model (MLM)
comparisons between the before and after scores for each condition are given for each timepoint.
mean closeness to class MLM comparison between
(s.d. in parentheses) before and after scores
condition timepoint Nbefore after change td.f. p-value
singing 1 64 2.53 (1.34) 4.33 (1.61) 1.80 (1.36) 10.47 58 <0.0001
..........................................................................................................................................................................................
2 66 4.95 (1.40) 5.67 (1.27) 0.71 (0.91) 5.78 60 <0.0001
..........................................................................................................................................................................................
3 58 5.50 (1.38) 6.07 (1.11) 0.57 (0.88) 4.31 53 <0.0001
.........................................................................................................................................................................................................................
non-singing 1 46 3.15 (1.83) 3.72 (1.70) 0.57 (1.05) 3.80 42 0.0005
..........................................................................................................................................................................................
2 36 4.42 (1.54) 4.94 (1.59) 0.53 (0.97) 3.22 34 0.003
..........................................................................................................................................................................................
3 32 5.53 (1.44) 5.78 (1.39) 0.25 (0.51) 2.74 28 0.011
.........................................................................................................................................................................................................................
for the study. Participants ranged in age from 18 to 83 years (singers: M=60 ±12 years; non-singers:
M=52 ±15 years). For the singing classes, 73 of 84 participants (87%) were female and for non-singing
classes 45 of 51 participants (88%) were female. Across the three timepoints, the sample size decreased in
both conditions (table 1) due to dropout. Twenty-seven participants (53%) in the non-singing condition
and 48 participants (57%) in the singing condition provided data at all three timepoints. However, the
statistical analysis used is not adversely affected by missing data, so the results presented here include
the full sample.
2.2. Methods
There were two conditions in this study: singing and non-singing. The singing condition comprised
four singing classes, who were taught by professional singing tutors using a Natural Voice Network
(http://www.naturalvoice.net/) style approach. The non-singing comparison condition comprised two
crafts classes and a creative writing class, who were also led by professional tutors. The tutors had been
teaching their specialist subject for 2–20 years. Each class was 2 h long.
All seven classes were set up specifically for the study, so that although some participants knew each
other from their local community, the class groups were newly formed at the start of the study. Data
collection started during the second or third class of the course (i.e. the group had met once or twice prior
to data collection at timepoint 1). The design of the study is that of a conventional quasi-experiment (field
experiment) in which there is no control over the assignment of participants to experimental conditions.
The classes ran over seven months comprising two terms with a two-week break in the middle. Data
were collected at three timepoints: month 1 (timepoint 1), month 3 (immediately prior to the break;
timepoint 2) and month 7 (timepoint 3).
At each of these three timepoints, participants completed a questionnaire before and after their class
and provided a ‘pressure cuff measure’ (see below) before and after the class. At timepoint 1, participants
were asked to provide demographic information as well as being asked whether they already knew
anyone else in their class. In the non-singing condition, 14 participants (27%) knew no one before
starting the class (known others M=2 others, range =0–5 other people) and in the singing condition
24 participants (29%) reported knowing no one else before starting the class (known others M=2 others,
range =0–8 other people).
At each of the three timepoints, participants were asked to rate how close they felt to their class as a
whole both before and after the class using a modified version of the pictorial Inclusion of Other in Self
(IOS) 7-point scale from 1 to 7 [55], termed ‘closeness’ here. In addition, participants were asked to fill
in the Positive and Negative Affect Schedule (PANAS) [56] both before and after the class. There were
no significant differences in baseline (i.e. before the first class) closeness or positive or negative affect
between singing and non-singing classes. Change in closeness/affect was calculated by subtracting the
before-class score from the after-class score.
As direct measurement of β-endorphin release requires procedures that are impractical (PET scanning
or lumbar puncture), it is standard practice to use a proxy measure [28,32–34]. Given the known function
of β-endorphin as an analgesic, pain tolerance is often used: the greater the increase in pain threshold that
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2.5
2.0
1.5
1.0
0.5
01 2 3 combined
across timepoints
mean change in closeness
timepoint
Figure 1. Mean change in closeness for singers (circles) and non-singers (squares), both separately across the three timepoints and
pooled across the three timepoints (shaded grey box). Means are shown ±2s.e.
an individual can withstand, the greater the implied level of circulating endorphins. Here we followed
the procedure detailed in Dunbar et al. [34]: a sphygmomanometer (blood-pressure cuff) was gently
inflated at a steady rate (10 mmHg s1) until the participant first indicated that it felt ‘very uncomfortable’
(or a maximum pressure of 300 mmHg was reached). This measure was referred to as a ‘blood pressure
cuff measure’ to avoid biasing participants. The same protocol was administered before and after the
class at each of the three timepoints. An increase in pain threshold across an activity indicates endorphin
activation. There was no significant difference in baseline (i.e. before the first class) pain thresholds
between singing and non-singing classes. Participants who reached the maximum threshold (300 mmHg)
at baseline, or were diabetic, had smoked or drunk alcohol in the last 12 h or had exercised in the last 2 h
were excluded from the pain threshold analysis.
2.3. Analysis
Given that participants were nested in classes and therefore do not represent independent data-points,
multi-level linear models (MLMs) were conducted for all analyses. These models control for extraneous
variables such as the effect of the different tutors teaching the different classes. For within-subject
comparisons of measures before and after a class, ‘individual participant’ was added as an additional
nested layer. For initial comparisons between conditions, timepoint was included as a third nested layer
because (i) for these analyses, we were interested in the difference between conditions rather than change
over time and (ii) this maximized sample size while taking lack of independence into account. Note
that for these analyses sample sizes do not correspond to numbers of participants, but the number of
data-points included in each model, pooled across timepoints. For follow-up analyses looking at social
bonding (IOS scores) over time, timepoint was included in the models as an independent factor.
3. Results
Participants felt significantly closer to their classmates after class (singing: M=5.23, s.d. =1.64,
N=197; non-singing: M=4.68, s.d. =1.79, N=114) compared with beforehand (singing: M=4.28,
s.d. =1.89, N=189; non-singing: M=4.23, s.d. =1.90, N=116): t444.9 =3.486, p=0.0005. There was
no significant main effect of condition (p=0.869), but there was a significant interaction between
condition and the before/after comparison (t447.7 =2.57, p=0.010). This interaction corresponds to a
significantly greater increase in the change in closeness during a class (t298.12 =5.01, p<0.0001) in the
singing condition (M=1.04, s.d. =1.02, N=188) compared with the non-singing condition (M=0.46,
s.d. =0.90, N=114). Singers thus experience a greater increase in closeness to their classmates than non-
singers overall (figure 1). Nonetheless, both singers and non-singers demonstrated significant increases
in closeness to their respective group at each of the three timepoints (table 1).
Mean positive affect was significantly higher after class (singing: M=3.58, s.d. =1.04, N=197; non-
singing: M=3.50, s.d. =0.99, N=113) compared with beforehand (singing: M=2.93, s.d. =0.97, N=
189; non-singing: M=3.13, s.d. =0.92, N=116): t479.1 =4.19, p<0.0001. There was no significant main
effect of condition (p=0.249). However, the interaction between condition and the before/after contrast
was significant: t480.1 =2.79, p=0.005. This interaction corresponds to a significantly greater increase
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0.80
0.60
0.40
0.20
0
0
–0.05
–0.10
–0.15
–0.20
–0.25
non-singing singing
condition
mean change in negative affect mean change in positive affect
(a)
(b)
Figure 2. Mean change in (a) positive and (b) negative aect for singers (circles) and non-singers (squares), pooled across timepoints.
Means are shown ±2s.e.
in the change in positive affect during a class (t298 =2.70, p=0.007) in the singing condition (M=0.65,
s.d. =0.94, N=187) compared with the non-singing condition (M=0.37, s.d. =0.73, N=113) (figure 2a).
Negative affect was significantly lower after class (singing: M=1.11, s.d. =0.29, N=193; non-
singing: M=1.21, s.d. =0.51, N=111) compared with beforehand (singing: M=1.24, s.d. =0.51, N=
188; non-singing: M=1.34, s.d. =0.76, N=115): t453.4 =−2.47, p=0.014. There was no significant main
effect of condition (p=0.071) and no significant interaction between condition and the before/after
comparisons (p=0.824). Correspondingly, change in negative affect did not differ significantly between
the conditions (p=0.888) (figure 2b).
Pain thresholds were significantly higher after class (singers M=182.75, s.d. =63.04, N=103;
non-singers M=161.33, s.d. =61.12, N=45) compared with beforehand (singers M=176.89, s.d. =
58.05, N=103; non-singers M=147.00, s.d. =60.88, N=45): t210.18 =2.22, p=0.027. There was no main
effect of condition (p=0.427) and no significant interaction between condition and the before/after
comparisons (p=0.274). Correspondingly, change in pain threshold did not differ significantly between
the conditions (p=0.474) (figure 3).
At the end of the classes (timepoint 3), no significant difference in social closeness scores was found
between singers and non-singers after class: p=0.748, (table 1). However, there was a main effect of
singing on change in closeness (t296 =6.28, p<0.0001) and an interaction between singing and timepoint
(interaction between condition and (i) contrast between timepoint 1 and timepoint 2: t296 =−3.65,
p=0.0003; (ii) timepoint 1 and timepoint 3: t296 =−3.07, p=0.002). To clarify these interaction effects,
we tested models for each timepoint separately. These demonstrated that although the positive change
in reported closeness was significantly greater for singers than non-singers at timepoint 1 (t4.12 =4.32,
p=0.012), there was no significant difference between the two conditions at timepoint 2 (p=0.503) or
timepoint 3 (p=0.165) (figure 1).
Figure 4 suggests that whereas the pattern of increase in closeness towards classmates within and
across timepoints increases linearly for non-singers, the positive relationship over time is more curved
for singers: a sharper increase initially, which levels off. This is supported by the finding that although
the change in closeness for singers was significantly greater at timepoint 1 than timepoint 2 (t182.9 =5.75,
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30
20
10
0
–10 non-singing singing
condition
mean change in pain threshold (mmHg)
Figure 3. Mean change in pain thresholds for singers (circles) and non-singers (squares), pooled across timepoints. Means are shown
±2s.e.
7
6
5
4
3
2
1
123
mean closeness
timepoint
(a)
7
6
5
4
3
2
1123
mean closeness
timepoint
(b)
Figure 4. (a) Mean closeness scores before (open squares) and after (lled squares) class for non-singers across the three timepoints
and (b) mean closeness scores before (open circles)and after (lled circles) class for singers across the three timepoints. Means are shown
±2s.e.
p<0.0001), there was no difference in the change in closeness between timepoints 2 and 3 (p=0.460)
(figure 1 and the mean changes given in table 1). For non-singers, on the other hand, the change in
closeness was not different between either timepoints 1 and 2 (p=0.852) or timepoints 2 and 3 (p=0.208)
(figure 1 and the mean changes given in table 1): for non-singers the change over the course of a class
was consistent over time.
We fitted linear and quadratic curves to the data in the two conditions separately, taking the
nested class structure into account, and tested for a difference in model fit, measured as maximum
likelihood. For both singers (t381.40 =15.20, p<0.0001) and non-singers (t226.23 =10.01, p<0.0001), a
significant positive linear relationship was found between time (coded 1–6 to take into account both the
before and after measures and timepoints) and closeness score. By contrast, in a quadratic model only
singers showed a significant partial relationship between the squared (quadratic) term and closeness
(t380.20 =−6.08, p<0.0001), whereas the non-singers did not (p=0.338), implying that only the linear
term was relevant for non-singers (partial relationships for the linear term: non-singers: t225.05 =3.03,
p=0.003; singers t380.20 =9.24, p<0.0001). Goodness-of-fit tests revealed that the quadratic model fitted
the singing data significantly better than the linear model (χ2=35.42, p<0.0001), but that there was no
difference in fit between the linear and quadratic models for the non-singing data (p=0.335).
4. Discussion
Overall our results indicate that compared with individuals participating in craft or creative writing
classes, singers experience a greater increase in both self-reported closeness to their group and positive
affect. By contrast, although negative affect decreased and pain thresholds (a proxy for endorphin
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release) increased during classes, there was no difference in these changes between the conditions:
participants could withstand more pain and reported lower negative affect after class compared with
beforehand, but, contra our hypotheses, this effect occurred irrespective of the activity that they
had performed.
Despite the fact that singers and non-singers reached similar levels of closeness to their classmates by
the end of the study (table 1), comparisons revealed distinctly different patterns in how group bonding
occurred. Whereas singers showed a significantly greater boost in closeness at timepoint 1 compared with
non-singers (reflected in the greater change found in the pooled data) followed by a plateau, non-singers
showed a more gradual, linear increase to reach the same point eventually. Contrary to our hypothesis
that singing would lead to closer groups overall, therefore, the distinguishing feature of singing was that
it bonded groups more quickly than the other activities.
The differences in the temporal patterns of bonding suggest that the singing and non-singing classes
may have reached similar levels of emotional closeness through different mechanisms, or at least
different combinations of mechanisms. Building on a growing body of the literature, we propose that
group unity depends on behaviours that are synchronous and involve some muscular effort, which
trigger the release of neuropeptides such as β-endorphin, yield enhanced positive affect, and in turn may
enhance individuals’ willingness to cooperate [28,32,34,35,57]. By contrast, building close personal ties
with individuals relies more on frequently repeated one-on-one (or small group) interactions in which
individuals have the opportunity to talk and observe each other at close quarters to build up an idea of
a potential social partner’s trustworthiness and usefulness as a coalition partner [15]. We argue that, in
the singing classes, shared musical activity initially facilitated group bonding by bypassing the need to
get to know everyone in the class individually, creating general feelings of positivity towards everyone
present. Further closeness in the singing classes may have arisen as new relationships were built with
individual classmates during the tea-break conversations or between classes.
On the other hand, the non-singing classes provided more opportunity than the singing classes for
talking to each other, but lacked a powerful means of bonding a whole class simultaneously. This may
account for the more steady increase in group closeness over time in the comparison condition classes,
reflecting the gradual strengthening of personal ties with individual group members associated with
regular and repeated interactions. Interpersonal closeness may have been amplified through laughter,
which has been shown to lead to greater pain threshold increase (endorphin release) in social versus
solitary settings [34], but is limited to bonding no more than three individuals at a time in typical
conversational interactions [58]. In the non-singing classes, therefore, group connectedness is likely
to have culminated from the building of personal relationships through conversational interaction
and associated laughter, whereas singing may have led to the development of personal relationships
within the context of an already heightened sense of group cohesion. As singers reached the ceiling
of the IOS measure more quickly than non-singers, it is possible that in reality singers did not reach a
plateau in emotional closeness to their classmates, but that this continued to deepen over time beyond
the level experienced by non-singers. Additional social bonding measures would be required to test
this possibility.
It should be noted that in contrast with the singing classes, learners in the craft and creative writing
classes worked on individual projects rather than working together towards a shared goal. This means
that this study did not distinguish between the group-bonding effects of the physical act of singing per se
and the existence of a shared group motivation to create a piece of music together. Further work should
test between these explanations by comparing singing classes with, for instance, groups cooperating to
produce a piece of drama or a joint craft project such as a collaborative quilting.
Although protracted interaction is likely to be necessary in order for intimate personal relationships
to develop within a group, singing may be able to kick start this process in humans: singing breaks the
ice so that individuals feel closer to the group as a whole even if they do not yet know anything about
the individual members. Such an effect may overcome time constraints on the creation of individual
relationships to allow large human groups to coordinate effectively and quickly. In this regard, it is
interesting that religion, another potential mechanism for connecting large numbers of individuals, often
incorporates singing or chanting in groups [18]. The capacity of singing to bond groups of relative
strangers in humans may have played a crucial role in allowing modern humans to create and maintain
much larger social networks than their evolutionary relatives, which in turn may have facilitated the
colonization of risky environments across the globe [59].
Ethics. Ethics approval for this study was provided by the Central University Research Ethics Committee (CUREC) of
the University of Oxford (reference: MSD-IDREC-C1-2013-148).
Data accessibility. The data supporting this article have been uploaded as part of the electronic supplementary material.
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Authors’ contributions. E.P. and R.D. conceived the research project, E.P. coordinated data collection and conducted the
analysis, E.P. and J.L. collected data, all authors contributed to the manuscript.
Competing interests. The authors declare no competing interests.
Funding. The adult education classes were funded by the Workers’ Educational Association (WEA), including a grant
awarded to them by the Rayne Foundation. The research conducted by E.P., J.L. and R.D. is funded by an ERC
Advanced Investigator grant (295663) awarded to R.D.
Acknowledgements. We thank Rafael Wlodarski, Meg Hughes, Anna Machin and Bronwyn Tarr for assisting with data
collection. We thank the WEA staff who organized the classes and allowed the research to take place. In particular,
we thank the learners and tutors who participated in the research as well as Howard Croft and Cathie Zara from the
WEA West Midlands region for their hard work, support and enthusiasm.
References
1. Holt-Lunstad J, Smith TB, Layton JB. 2010 Social
relationships and mortality risk: a meta-analytic
review. PLoS Med. 7, e1000316. (doi:10.1371/
journal.pmed.1000316)
2. Holt-Lunstad J, Smith TB, BakerM, Harris T,
Stephenson D. 2015 Loneliness and social isolation
as risk factors for mortality: a meta-analytic review.
Perspect. Psychol.Sci. 10,227–237.(doi:10.1177/
1745691614568352)
3. Cacioppo JT, Hughes ME, WaiteLJ, Hawkley LC,
Thisted RA. 2006 Loneliness as a specic risk factor
for depressive symptoms: cross-sectional and
longitudinal analyses. Psychol.Aging 21, 140–151.
(doi:10.1037/0882-7974.21.1.140)
4. Pinquart M, SörensenS. 2000 Inuences of
socioeconomic status, social network, and
competence on subjective well-being in later life: a
meta-analysis. Psychol. Aging 15,187–224.(doi:10.
1037/0882-7974.15.2.187)
5. AdamsAM, Madhavan S, Simon D. 2002 Women’s
social networks and child survival in Mali. Soc. Sci.
Med. 54,165–178.(doi:10.1016/S0277-9536(01)
00017-X)
6. IaupuniSMK, Donato KM, Thompson-Colón T,
Stainback M. 2005 Counting on kin: social networks,
social support, and child health status. Soc. Forces
83, 1137–1164. (doi:10.1353/sof.2005.0036)
7. Whallon R. 2006 Social networks and information:
non-‘utilitarian’ mobility among hunter-gatherers.
J. Anthropol.A rchaeol.25,259–270.(doi:10.1016/
j.jaa.2005.11.004)
8. Wiessner P. 1982 Risk, reciprocity and social
inuenceson!KungSaneconomics.InPolitics &
history in band societies (eds E Leacock, RB Lee), pp.
61–84. Cambridge, UK: Cambridge University Press.
9. Pearce E. 2014 Modelling mechanisms of social
network maintenance in hunter–gatherers.
J. Archaeol. Sci. 50,403–413.(doi:10.1016/j.jas.
2014.08.004)
10. Pearce E, Moutsiou T. 2014 Using obsidian transfer
distances to explore social network maintenancein
late Pleistocene hunter–gatherers.J. Anthropol.
Archaeol.36, 12–20. (doi:10.1016/j.jaa.2014.07.002)
11. Roberts S, Dunbar RIM, Pollet TV, Kuppens T. 2009
Exploring variation in active network size:
constraints and ego characteristics. Soc. Netw.31,
138–146. (doi:10.1016/j.socnet.2008.12.002)
12. Majolo B, de Bortoli Vizioli A, Schino G. 2008 Costs
and benets of group living in primates: group size
eects on behaviour and demography.Anim. B ehav.
76, 1235–1247. (doi:10.1016/j.anbehav.2008.06.008)
13. Cacioppo JT, Cacioppo S, Cole SW, Capitanio JP,
Goossens L, Boomsma DI. 2015 Loneliness across
phylogeny and a call for comparative studies and
animal models. Perspect. Psychol.Sci. 10,202212.
(doi:10.1177/1745691614564876)
14. Cacioppo JT, Hawkley LC, Ernst JM, Burleson M,
Berntson GG, Nouriani B, Spiegel D. 2006 Loneliness
within a nomological net: an evolutionary
perspective. J. Res. Pers. 40, 1054–1085.
(doi:10.1016/j.jrp.2005.11.007)
15. Sutclie A, Dunbar RIM, Binder J, Arrow H. 2011
Relationships and the social brain: integrating
psychological and evolutionary perspectives. Br.J.
Psychol. 103, 149–168. (doi:10.1111/j.2044-8295.
2011.02061.x)
16. Roberts S, Dunbar RIM. 2011 The costs of family and
friends: an 18-month longitudinal study of
relationship maintenance and decay.Evol. Hum .
Behav.32, 186–197.
(doi:10.1016/j.evolhumbehav.2010.08.005)
17. Miritello G, Moro E, Lara R, LMartinez-Lopez R,
Belchamber J, Roberts S, Dunbar RIM. 2013 Time as
a limited resource: communicationstrategy in
mobile phone networks. Soc. Netw.35, 89–95.
(doi:10.1016/j.socnet.2013.01.003)
18. Dunbar RIM. 2008 Mind the gap: or why humans
aren’t just great apes. Proc.Br. Acad. 15,403–423.
19. DunbarRIM.1993Coevolutionofneocorticalsize,
group size and language in humans. Behav. Brain
Sci. 16, 681–694. (doi:10.1017/S0140525X00032325)
20. Dunbar RIM. 2012 Bridging the bonding gap: the
transition from primates to humans.Phil.Trans.R.
Soc. B 367,18371846.(doi:10.1098/rstb.2011.0217)
21. Blacking J. 1973 How musical is man? Seattle, WA:
University of Washington Press.
22. Morley I. 2013 Theprehistoryofmusic:human
evolution, archaeology,and the origins of musicality.
Oxford, UK: Oxford University Press.
23. Huron D. 2003 Is music an evolutionary adaptation?
In The cognitive neuroscienceof music (eds I Peretz,
R Zatorre), pp.57–75. New York, NY: Oxford
University Press.
24. Hagen E, Br yantG. 2003 Music and dance as a
coalition signaling system. Hum. Nat. 14, 21–51.
(doi:10.1007/s12110-003-1015-z)
25. D unbar RIM. 2012 On the evolution of song and
dance. In Music, language, & humanevolution (ed.
N Bannan). Oxford, UK: Oxford University Press.
26. Grape C, Sandgren M, Hansson L-O, Ericson M,
Theorell T. 2002 Does singing promote well-being?:
an empirical study of professional and amateur
singers during a singing lesson. Integr.Physiol.
Behav.Sci. 38, 65–74. (doi:10.1007/BF02734261)
27. Kreutz G. 2014 Does singing facilitate social
bonding? Music Med. 6, 51–60.
28. Dunbar RIM, Kaskatis K, MacDonald I, Barra V.
2012 Performance of music elevates pain threshold
and positive aect. Evolut. Psychol.10,
688–702. (doi:10.1177/1474704912010
00403)
29. Machin AJ, Dunbar RIM. 2011 The brain opioid
theory of social attachment: a review of the
evidence. Behaviour 148,985–1025.
(doi:10.1163/000579511X596624)
30. Keverne EB, Martensz ND, Tuite B. 1989
Beta-endorphin concentrations in cerebrospinal
uid of monkeys are inuenced by grooming
relationships. Psychoneuroendocrinology
14, 155–161. (doi:10.1016/0306-4530(89)
90065-6)
31. Nummenmaa L et al. Submitted. Social touching
deactivates the endogenous μ-opioid system in
humans.
32. Cohen EEA, Ejsmond-Frey R, Knight N, Dunbar RIM.
2010 Rowers’ high: behavioural synchronyis
correlated with elevatedpain thresholds. Biol. Lett.
6, 106–108. (doi:10.1098/rsbl.2009.0670)
33. Sullivan P, Rickers K. 2012 The eect of behavioral
synchrony in groups of teammatesand strangers.
Int. J. Sport Exerc. Psychol.11, 286–291.
(doi:10.1080/1612197X.2013.750139)
34. Dunbar RIM et al. 2012 Social laughter is correlated
with an elevated pain threshold. Proc.R.Soc.B279,
1161–1167. (doi:10.1098/rspb.2011.1373)
35. TarrB, Launay J, Dunbar RIM. 2014 Music and social
bonding: ‘self-other’ merging and neurohormonal
mechanisms. Front. Psychol. 5,1–10.(doi:10.3389/
fpsyg.2014.01096)
36. Vickho B et al. 2013 Music determines heart rate
variability of singers. Front. Psychol. 4, 334.
(doi:10.3389/fpsyg.2013.00334)
37. Reddish P, Fischer R, Bulbulia J. 2013 Let’s dance
together: synchrony,shared intentionality and
cooperation. PLoS ONE 8, e71182.
(doi:10.1371/journal.pone.0071182)
38. Cirelli LK, Einarson KM, Trainor LJ. 2014
Interpersonal synchrony increases prosocial
behavior in infants. Dev.Sci. 17, 1003–1011.
(doi:10.1111/desc.12193)
39. Wiltermuth SS, Heath C. 2009 Synchrony and
cooperation. Psychol.Sci. 20,1–5.
(doi:10.1111/j.1467-9280.2008.02253.x)
40. Valdesolo P, Ouyang J, DeSteno D. 2010 The rhythm
of joint action: synchrony promotes cooperative
ability. J. Exp.Soc. Psychol. 46, 693–695.
(doi:10.1016/j.jesp.2010.03.004)
41. Reddish P, Bulbulia J, Fischer R. 2013 Does synchrony
promote generalized prosociality? Religion Brain
9
rsos.royalsocietypublishing.org R. Soc. open sci. 2:150221
................................................
Behav.4,3–19.(doi:10.1080/2153599X.2013.
764545)
42. Kirschner S, Tomasello M. 2010 Joint music making
promotes prosocial behavior in 4-year-old children.
Evol.Hum.Behav.31, 354–364. (doi:10.1016/j.
evolhumbehav.2010.04.004)
43. Hove MJ, Risen JL. 2009 It’s all in the timing:
interpersonal synchrony increases aliation.
Soc. Cognit. 27, 949–960. (doi:10.1521/soco.
2009.27.6.949)
44. Launay J, Dean RT, Bailes F. 2014 Synchronising
movements with the sounds of virtual partner
enhances partner likeability. Cognit. Pro cess.
15, 491–501. (doi:10.1007/s10339-014-
0618-0)
45. Launay J, Dean RT, Bailes F. 2013 Synchronization
can inuence trust following virtual interaction.
Exp. Psychol.60,5363.(doi:10.1027/1618-3169/
a000173)
46. Lakens D, Stel M. 2011 If they move in sync, they
must feel in sync: movement synchrony
leads to attributions of rapport and entitativity.
Soc. Cognit. 29,114.(doi:10.1521/soco.2011.
29.1.1)
47. Miles LK, Nind LK, Macrae CN. 2009 The rhythm of
rapport: interpersonal synchrony and social
perception. J. Exp.Soc. Psychol. 45, 585–589.
(doi:10.1016/j.jesp.2009.02.002)
48. Clift S, Hancox G. 2001 The perceived benets of
singing: ndings from preliminary surveys of a
university college choral society. J. R. Soc. Promot.
Health 121, 248–256. (doi:10.1177/146642
400112100409)
49. Joseph D, Southcott J. 2014 Singing and
companionship in the Hawthorn University of
the third-age choir,Australia. Int. J. Lifelong Educ.
34, 334–347. (doi:10.1080/02601370.2014.
991951)
50. Grindley H, Astbury J, Sharples J, Aguirre C. 2011
Benets of group singing for community mental
health and wellbeing. Survey & literaturereview.
Melbourne, Australia: Victorian Health Promotion
Foundation.
51. Tamplin J, Baker FA,Jones B, Way A, Lee S. 2013
‘Stroke a chord’: the eect of singing in a
community choir on mood and social engagement
for people living with aphasia following a stroke.
NeuroRehabilitation. 32,929–941.
(doi:10.3233/NRE-130916)
52. S akano Ket al 2014 Possible benets of singing to
the mental and physical condition of the elderly.
BioPsychoSoc. Med. 8, 11. (doi:10.1186/1751-
0759-8-11)
53. Unwin MM, Kenny DT, Davis PJ. 2002 The eects of
group singing on mood. Psychol.Music 30, 175–185.
(doi:10.1177/0305735602302004)
54. Huron D. 2001 Is music an evolutionary adaptation?
Ann. NY Acad. Sci. 930,43–61.(doi:10.1111/j.1749-
6632.2001.tb05724.x)
55. Aron A, Aron EN, Smollan D. 1992 Inclusion of Other
in the Self Scale and the structure of interpersonal
closeness. J.Pers.Soc.Psychol.63, 596–612.
(doi:10.1037/0022-3514.63.4.596)
56. Mackinnon A, Jorm AF, Christensen H, Korten AE,
Jacomb PA,Rodgers B. 1999 A shor t form of the
Positive and NegativeAect S chedule: evaluationof
factorial validity and invariance across demographic
variables in a community sample. Pers. Individual
Dier.27,405416.(doi:10.1016/S0191-8869(98)
00251-7)
57. Dunbar RIM. 2010 The social role of touch in humans
and primates: behavioural function and
neurobiological mechanisms. Neurosci. Biobehav.
Rev. 34, 260–268. (doi:10.1016/j.neubiorev.
2008.07.001)
58. Dezecache G, Dunbar RIM. 2012 Sharing the joke:
thesizeofnaturallaughtergroups.Ev ol. Hum.
Behav.33,775779.(doi:10.1016/j.evolhumbehav.
2012.07.002)
59. PearceE,ShuttleworthA,GroveM,LaytonR.2014
The costs of being a high latitude hominin. In The
Lucy Project: benchmark papers (eds R Dunbar,
C Gamble, J Gowlett), pp. 356–379. Oxford,UK:
Oxford University Press.

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