Category Archives: Guest Blogs

Guest Blog: 93% of all misinformation is nonverbal: How a zombie statistic came and stayed

Students of language all too often have to sigh and turn away when they hear yet another expert claim that 75% – or is it 85%? Or 93%? – of communication is via body language. Where does this zombie stat come from, and why won’t it go away? I’m delighted that Gonen Dori-Hacohen has taken on the job of tracking it down, and it makes for some fascinating reading.

Gonen Dori-Hacohen, U Mass., Amherst

“Although some have suggested that as much as 93% of conversational meaning is communicated nonverbally (Mehrabian, 1968), more conservative estimates indicate that nonverbal behaviors account for 60 to 65% of the meaning conveyed in an interpersonal exchange (Birdwhistell, 1970; Burgoon, 1994). That is, even conservative estimates ascribe nearly twice as much meaning-making power to nonverbal communication as to verbal—and it is not difficult to understand why, given the number of nonverbal channels and the range of nonverbal behaviors to which people have access.” (Guerrero & Floyd, 2006, p. 2)

The claim that 60 to 93 percent of nonverbal communication is repeated and accepted. And it is nonsense. Not because much of current communication is mediated without bodies. It’s nonsense because imagine seeing me stating it in a TED talk, but in a language, you do not know. Will you understand 90% of the meanings? Or even 65%? You might understand some elements, like my stance, but that is it.

Indeed, Elizabeth Stokoe says that Max Atkinson had used this translation argument to get Mehrabian (the person wrongly cited as 1968 above) to admit that his argument was widely overblown (Stokoe, 2018). Communication is verbal and nonverbal, and reducing it to competition among different channels is wrongheaded, especially claiming that nonverbal is more important to meaning.

This blog is another attempt to explain how we got these claims. Mehrabian was the easy target, so we will get to him at the end, but what about Birdwhistell and his “conservative estimate”? It is probably a joke that has gone wrong.

Tracing the myth

Textbooks and handbooks spread this misinformation. They cite each other, and it took me three generations of books to get to the original research. Let us return to the textbook above (in turn cited as a source by Jones, 2024, a textbook my department wants to adopt). Nonverbal communication gives twice the “meaning” that verbal communication gives. This textbook cites Albert Mehrabian, Ray Birdwhistell and Judee Burgoon. Let’s start with Burgoon (1994), which is a chapter in a handbook (that keeps being reprinted) on interpersonal communication. Burgoon writes: “More reasonable estimate comes from Birdwhistell (1955), who claimed that 60 to 65 percent of the meaning in a social situation is communicated nonverbally. Although he offered no empirical evidence…” (Burgoon, 1994, p. 234). First, it is Birdwhistell’s 1970 and not 1955. Second, if Birtwhistell provided no evidence, why cite him? Burgoon herself cites Philpott’s (1983) MA thesis, a meta-analysis of nonverbal communication experiments, to support Birdwhistell’s claim. However, Birdwhistell and the MA thesis cannot align, mainly because, as we will soon see, the MA thesis quotes Birdwhistell without understanding what he meant.

We need not delve far into Phillpott’s (1983) MA thesis, but we do find him reoporting that Birdwhistell “estimates that ‘no more than 30 to 35 percent’ (1970, p. 157) of meaning is based on verbal information.” (p. 6). He continues: “[a]lthough Birdwhistell’s … figure is presented as no more than a ‘guess,’ it has come to be treated as gospel” (p. 6-7). Thus, like Borgoon, Phillpott acknowledges that Birdwhistell’s number is a “guess,” but it is accepted as a fact. In the remainder of the thesis, Phillpott combines the prior analyses, taking research that was disproven and the one that disproves it to achieve the numbers Borgoon cites. However, the MA thesis makes Birdwhistell a principal of the claim that 65% of communication is nonverbal.

Birdwhistell: Kinesics, Communication, and a Joke?

Ray Birdwhistell was influential in introducing the study of body language to various scientific disciplines. In his influential “Kinesics and Context” (1970) he was: “… trying to demonstrate the necessary interdependence of the kinesic and linguistic;” (p. 17). Interdependence: so, you would think, not separable.

However, when discussing gestures, Birdwhistell writes: “Our present guess is that in pseudostatistics probably no more than 30 to 35 per cent of conversation or interaction is carried by the words.” (1970, P. 157-158). The use of “guess,” the “pseudo” to refer to statistics, followed by a “probably” all suggest non-seriousness. Relatedly, “carrying a conversation” does not equal “meanings” in it. Considering the extreme attention Birdwhistell gave to context and his stress on the interdependence of all communication channels, this sentence probably mocks the “x percent of meaning being verbal or nonverbal” research. Nonetheless, this half-joking sentence is taken as Birdwhistell’s legacy and then used as the “more conservative” finding by people who probably have not read another word Birdwhistell wrote.

Mehrabian: Experimenting with variance

“[A]s much as 93% of meaning in any interaction is attributable to nonverbal communication. Albert Mehrabian asserts that this 93% of meaning can be broken into three parts (Figure 5.2).4 Mehrabian’s work is widely reported and accepted.” Fn 4. Mehrabian, A. (1971). Silent messages. Wadsworth.(Quote from Wrench et al. 2020, pp. 159-160).

To be fair, Mehrabian (1971) never claimed the statistic in first sentence. He was interested in “inconsistent communication” (Mehrabian, 1971 p. 42) where “we may express something verbally while our facial expressions [16], posture [111], tone of voice [73, 150, 161], or gestures [39] say the opposite.” (p. 142) From these situations, the myth starts:

“we can say that a person’s nonverbal behavior has more bearing than his words on communicating feelings or attitudes to others. The equation we just presented is a generalization of the research on liking. Total feeling = 7% verbal feeling + 38% vocal feeling + 55% facial feeling”   (1971, p. 44)

This text apparently establishes that verbal only explains seven percent of the expression of feeling, while nonverbal, tonal and facial together, account for 93%, the mythical number. The claim is based on two lab experiments with a similar method.

UCLA students were exposed to two channels of communication, either verbal and tonal (Mehrabian & Wiener, 1967) or tonal and facial expressions (Mehrabian & Ferris, 1967). The channels deliver different stances of the emotion of “likeness,” e.g., if the tone suggested liking, the words did not or if the tone was neutral, the facial expression was not. The students were asked about the meanings of the message, either separated by channel or combined. At the last paragraph of the second paper (Mehrabian & Ferris, 1967), a cumulative result is presented: “[t]he combined effect of simultaneous verbal, vocal, and facial attitude communications is a weighted sum of their independent effects— with the coefficients of .07, .38, and .55, respectively.” (Mehrabian & Ferris, 1967, p. 252)

This conclusion is problematic. Each paper presents self-disclosed limitations, and the combination is not well discussed. Moreover, Mehrabian’s argument is based on many generalizations: lab setting; limited undergraduate population; UCLA;[1] only female speakers; one word (in Mehrabian & Ferris, 1967) or a single-uttered word (Mehrabian & Wiener, 1967); still photo (Mehrabian & Ferris, 1967); tonal expression (Mehrabian & Wiener, 1967); and one emotion, liking. Even then, Mehrabian only explains the variance in meaning, i.e. how much a channel explains regarding their inconsistency. This fact is usually overlooked. Worse still, even Mehrabian never generalized to all meanings or “Communication:” he studied emotions. Lastly, his analyses were faulty (Borgoon, 1994). Birdwhistell would vehemently reject every element of Mehrabian’s work.[2] None of these shortcomings prevents textbooks from citing Mehrabian, and then associating him with Birdwhistell to promote the myth of how important nonverbal communication is.

The Alternative View

For ROLSI readers, presenting the alternative is almost not needed. Mehrabian took the outlier of inconsistency between the channels and made it the center. Birdwhistell and Goffman acknowledged that there could be misalignment between communication channels, but they assumed they usually work together. Following Birdwhistell, Adam Kendon posits: “detailed studies of how gesture and speech are interrelated (…) have shown that these two activities are so intimately connected that they appear to be governed by a single process….It has become clear that visible bodily action is often integrated with speech in such a way as to appear as if it is its partner and cannot be disregarded” (2004, p. 3). Goodwin (1979) suggested the intricate relations between gaze and talk and Streek (1993) demonstrated how hand gestures are coordinated with talk.

I’ve deliberately chosen to present such “older” research to demonstrate that the interdependence between verbal and nonverbal is well-established. However, this research is ignored in favor of the 60-93% myth in many interpersonal communication textbooks and mundane outlets. Why does the competitive view between verbal and nonverbal communication, in which the latter wins, continue? Alternatively, who gains from spreading this misinformation?

Conclusion: Agents of misinformation

There are competing views on communication. One starting point is the psychological side: communication resides in the individual, who controls and can change their communication if they choose to or are taught to. Communication can be broken into discrete channels, motions, and utterances and studied in a laboratory outside of context.

Using Birdwhistell (1970) for such a claim is an affront. Birdwhistell argued the opposite: “John does not communicate to Mary, and Mary does not communicate to John; Mary and John engage in communication.” (1970 p. 12) Nonverbal and verbal cannot be separated, and separating a discrete element is close to impossible.

The misinformation regarding nonverbal communication is hard to counter since interdependence is harder to sell. It becomes disinformation since many trainers will teach you how to change your nonverbal communication to win friends and influence people (Carnegie, 1934/2022). If you sign up for my workshop on nonverbal communication, your life will change forever because 93% of all communication is …. To uproot this misconception, we need to point it out, show its stupidity and fallacious roots, preach its alternative, and discuss its reasons. If I’ve tried to achieve that here, and failed, it would probably be because only seven percent of the text had any meaning, since 93% of communication is still considered by too many to be nonverbal…

References

Birdwhistell, R. L. (1970). Kinesics and context: Essays on body motion communication. University of Pennsylvania press.

Burgoon, J. K., (1994). Nonverbal signals. In M.L. Knapp & G. R. Miller (Eds.) Handbook of interpersonal communication (pp. 229-285). Sage.

Carnegie, D. (1934/2022). How to win friends and influence people. DigiCat. 

Goodwin, C. (1979). The interactive construction of a sentence in natural conversation. Everyday language: Studies in ethnomethodology97, 101-121.

Guerrero, L. K., & Floyd, K. (2006). Nonverbal communication in close relationships. Routledge.

Jones JR., R.G. (2024). Communication in the Real World (ver. 3). Flatworld Publication

Kendon, A. (2004). Gesture: Visible action as utterance. Cambridge University Press.

Mehrabian, A. (1971). Silent messages (Vol. 8, No. 152, p. 30). Belmont, CA: Wadsworth.

Mehrabian, A., & Ferris, S. R. (1967). Inference of attitudes from nonverbal communication in two channels. Journal of consulting psychology31(3), 248-252.

Mehrabian, A., & Wiener, M. (1967). Decoding of inconsistent communications. Journal of personality and social psychology6(1), 109-114.

Philpott, J. S. (1983). The relative contribution to meaning of verbal and nonverbal channels of communication: A meta-analysis. Unpublished MA thesis. The University of Nebraska.

Stokoe, E. (2018). Talk: The science of conversation. Hachette UK.

Streeck, J. (1993). Gesture as communication I: Its coordination with gaze and speech. Communications Monographs60(4), 275-299.

Wrench, J. S., Punyanunt-Carter, N. M., & Thweatt, K. S. (2020). Interpersonal communication: A mindful approach to relationships. Milne Open Textbooks.


[1] I am a UCLA alumnus.

[2] On labs Birdwhistell wrote: “We cannot study the social behavior of a fish by taking him out of the water. The child is a child in his world – the pieces he displays in a laboratory represent a very small and, perhaps, unrepresentative sample of his repertoire.” (1970, p. 6) Similarly he rejected a fixed meaning to a fixed gesture.

Guest blog: Challenges creating a dataset of police calls for conversation analytic research

CA researchers who approach institutions like the police can get responses which vary from warm encouragement to outright rejection, with most cases falling somewhere in between. It’s up to the researcher to establish good relations with their contacts, abide by their requirements, and be sensitive to the legal and technical constraints that box in the recordings. But if they do come away with usable data, that can be an exceptionally valuable source of information about how the police work. Here, Emma Tennent reports on the process by which she and Ann Weatherall found the data they used in their recent ROLSI paper on person reference in police calls.

Emma Tennent, Wellington

How do the police deal with people who call in for help?  

Ann Weatherall and I wanted to study what barriers people faced in calling police emergency and non-emergency lines about gendered violence. But the New Zealand police had never previously released call-recordings for research. The process of getting permission was a long one, with much to learn on the way; but we succeeded, and we’re delighted to have our first article based on that data published in ROLSI. We hope that this description of the process might help as a guide to the kind of ups and downs this kind of applied research involves.

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Guest Blog: Creating a state-of-the-art-review: The art is in the collaboration    

A recent issue of the journal features eight specially commissioned articles describing the state of play in CA research on medical attraction. The contributors covered the ground from accident and emergency to palliative care, and everything in between. But doing a really solid job on identifying the state of the art is no easy matter, and I’m delighted that one of the contributors, Catherine Woods has given us an account of the work involved.

Catherine Woods, Oxford

In 2022 Becky Barnes and I were meeting on Teams once a month to discuss ongoing papers from the most recent project we worked on together. We often met on a Friday afternoon to discuss goals and writing, but only if we both managed to clear our main work and meetings for the week. Funnily enough, when there is a promise of talking about all things CA with a colleague you enjoy working with and just before the weekend, you always work efficiently during that week.

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A new bibliography of all articles in ROLSI, 1987-2022

Back in 2015, Maurice Nevile tracked down and listed every single article published in ROLSI between 1987 and 2014. That was an enormous feat of scholarship, and now he’s updated the catalogue.

Maurice Nevile, University of Canberra

Now Maurice’s 2023 revised version of the bibliography presents, in chronological order, all items published in the journal ROLSI, from 1987 to 2022 (excluding editor comments).

The list makes it easier to view the journal’s contents at a glance, or to track and find specific items, authors, analytic interests and phenomena, settings and situations, or data languages, etc. The list begins in 1987, when the journal changed its name and orientation, after starting in 1969 as Papers in Linguistics.

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Guest Blog: Writing “Ethnomethodological Conversation Analysis in Motion”

There’s an increasing demand for Conversation Analysis texts as the discipline becomes established, and new markets emerge among students and researchers. One of the most intriguing texts to come out soon is Ethnomethodological Conversation Analysis in Motion: Emerging Methods and New Technologies, edited by a group based at Oulu University. I’m delighted that the group have written a piece for the blog.

L to R: Antti Kamunen, Pentti Haddington, Tiina Eilittä, Tuire Oittinen,
Anna Vatanen, Laura Kohonen-Aho, Iira Rautiainen.
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Guest Blog: Promoting EM/CA in China

There is a growing interest in EM/CA in China, and I’m delighted that Enhua Guo, from the Ocean University of China, has written us a lively and informative account of new developments. In celebrating the 100th HDS (“Happy Data Session”) in China, he reflects on its evolution over the past three years, highlighting local practices, and sharing key takeaways with the international EMCA (Ethnomethodology and Conversation Analysis) community.

Enhua Guo

Data sessions are a crucial component of EMCA research and serve as one of the most fundamental means of conducting EMCA studies. On the foundational and pioneering work done by K.K. Luke (陆镜光), EMCA in China in the past two decades has seen remarkable development and growth, thanks to the unwavering efforts of some leading Chinese conversation analysts as Guodong Yu (于国栋), Yaxin Wu (吴亚欣), Wei Zhang (张惟), along with Ni-Eng Lim (林尔嵘) from Singapore.

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Guest Blog: The Conversation Analyst as an Expert Witness in the Courtroom

Some court cases rely on the interpretation of verbal exchanges – recorded conversations, interviews, police interrogations. The expert may be asked to say whether something is evidence of a bribe, a threat, a confession, and so on. Gary C. David PhD CCS is one of the very few conversation analysts who have been called on to help the court. His report makes for fascinating reading.

Gary C David, Bentley University

When is an interrogation and interview, or an interview an interrogation? How much does it matter how such encounters are characterized versus what they look like? How can we tell the difference between the two? These are questions that I had to address as I was asked to examine a police encounter with a person suspected of murder. My expert opinion could make a difference in whether evidence is admitted or excluded, and whether the suspect goes to trial or goes free.

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Guest Blog: Doing CA on hospital wards with front-line healthcare professionals

Conversation analysis offers a great deal to those trying to improve how to communicate with people with disorders of language. It’s not always easy, and practical obstacles keep getting in the way: Isabel Windeatt from Nottingham University gives us a lively account of what it’s like to collect and analyse data on a ward for older people .

Isabel Windeatt

I’ve been working closely with front-line healthcare professionals in my role on the VOICE2 study, a conversation analytic study of communication between staff and people living with dementia who are in hospital. I want to share the benefits of collecting data and sharing preliminary CA analyses with healthcare professionals, as well as some of the challenges, in the hope that others will find solutions to collecting data in challenging environments, and be encouraged to involve healthcare staff during the analysis.

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Guest Blog: Being Smart About Artificial Intelligence

There’s a lot going on at the interface of AI and speech – both recognition and production – and some of it draws on ideas from ethnomethodology and conversation analysis. But is it any good? Stuart Reeves runs the rule over some of the issues.

Stuart Reeves, Nottingham

Artificial Intelligence is a big deal now. We’re told that AI systems are reaching and even exceeding human performance at things like playing games, hearing and transcribing words (Xiong et al., 2017), translating between languages, or recognising faces and emotions (Lu and Tang, 2014). This means we are entering a world where it’s possible for people to have conversations with AI agents (a Google researcher recently claimed a chatbot as “sentient”), or get computers to understand what’s in a picture and even generate their own art when prompted.

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