Nudge Patterns

Authority, trust badges and expert quotes: what is supported

Milgram supports obedience, not trust badges. What source credibility delivers and why trust signals are a usability matter.

The badge next to the pay button

Nearly every checkout carries one. A padlock, a tick, a logo with the word “verified”. The justification offered in conference talks and agency decks is regularly the authority principle, and the evidence cited is Milgram.

That is the most overstretched piece of evidence in this entire project. Milgram showed something very strong — just not this.

What the classic studies measure

Milgram (1963) led 40 men to believe they were administering electric shocks of increasing strength to another person while an experimenter told them to continue. Twenty-six of them went to 450 volts. Bickman (1974) tested the everyday form on the street. His paper is called “The Social Power of a Uniform”, and that title is exactly what misleads: what worked was not the uniform but one particular uniform.

In Brooklyn, 153 passers-by were told by a young man to perform some trivial act — pick up a paper bag, give a stranger at a parking meter a dime, move to the other side of a bus stop. He wore either a sports jacket and tie, a milkman’s uniform or a guard’s uniform.

Request Civilian Milkman Guard
Pick up the bag 36% 64% 82%
Give a dime 33% 57% 89%
Bus stop 20% 21% 56%

Between milkman and civilian the difference was not significant; only the guard stood significantly above both. Counting only the cases without a follow-up justification, the milkman at 14 percent falls even below the civilian at 19 — the guard reaches 38. Bickman draws the conclusion himself: the power lay in the type of uniform and not in the mere presence of a uniform.

For trust seals this is the most awkward line in the table. The guard’s uniform, Bickman records, superficially resembled a policeman’s — different badge, no gun. What worked there was a signal of official enforcement authority. The occupational uniform, the pure badge of belonging, did nothing. A seal in the checkout is structurally the second thing, not the first.

Burger (2009) repeated the procedure 45 years later. Seventy percent continued past the 150-volt mark, against 82.5 percent in Milgram; the difference is not significant.

Three qualifications belong with that. Burger stopped every session at 150 volts — that it would have continued to 450 is an inference, not a measurement, and he says so himself. The sample was tightly pre-filtered: a third screened out by telephone, 38 percent of the remainder by a clinical psychologist, plus everyone who had taken more than two psychology courses. And Burger reconstructed Experiment 5 from Milgram’s 1974 book, not the 1963 version cited here, in which the victim does not protest at all until 300 volts.

Doliński and colleagues (2017) ran the same shortened procedure in Poland in 2015, with 80 participants and for the first time in Central Europe. Ninety percent pressed the tenth button, against 85 percent in Milgram’s comparable condition. They too stop at 150 volts, and they too chose a different version from Burger: Experiment 2 rather than Experiment 5.

That leaves three papers testing three related but not identical setups, two of which measure only the first third of the scale. For the direction of the finding that is a good position: two countries, two independent teams, consistently high figures. What is measured is exactly that: obedience to a present authority, up to the 150-volt mark. How far people go after that, nobody has observed since the 1970s.

Measured

A person gives an instruction

  • Present
  • In a role
  • Against inner resistance
  • Immediate consequence

Effect score 4

Claimed

A logo sits there

  • No counterpart
  • No role
  • No resistance
  • No consequence

Effect score 1

Fictional exampleThe transfer score of 1 for this pattern is not an oversight. Between the two columns lies not a difference of degree but a different subject.

What they do not measure

What was measured is compliance with an instruction given by a present person in an institutional role, usually against the inner resistance of the person complying, with an immediate consequence for behaviour.

A trust badge instructs nobody. It is present the way a piece of furniture is, it holds no role in a conversation, and it demands nothing. The transfer is not a small step away from the finding but a change of subject.

That is not to say there is nothing on trust seals. There is research — it simply does not come from Milgram.

What the research on trust seals itself finds

Two papers test exactly what Milgram does not. Both are sobering.

Kim, Ferrin and Rao (2008) surveyed 468 online shoppers in two rounds: once before the purchase, once weeks later after the goods had arrived. The actual purchase is therefore among the quantities measured, not just the intention. The attitude towards trust seals was related to none of it.

Relation of seal attitude to … Correlation
trust in the vendor 0.05
perceived risk −0.03
purchase intention 0.02

A correlation runs from −1 to +1; 0 means the two quantities have nothing to do with each other. All three values sit practically there.

In the full model a single significant path appears, from the seal to perceived risk (−0.216). We do not present it here as an effect. A path resting on a zero correlation only emerges once other variables are partialled out — that is a suppression effect, and it carries no recommendation.

On top of that comes a finding that shifts the question: 73.7 percent of respondents did not know that websites are endorsed by third parties at all — in a sample where over 90 percent had bought online in the previous year.

Head and Hassanein (2002) arrive at the same place in Canada. Of 223 respondents, 52 percent recognised such seals at all; of those, 45 percent said seals influenced their purchasing decision. Neither share differs statistically from half (p > 0.05), and the authors explicitly treat both hypotheses as unsupported. Worked through, that leaves under a quarter of the sample for whom a seal means anything by their own account.

What both papers find instead agrees: it is not the seal but the traceability of the vendor. In Kim and colleagues, perceived privacy protection (0.494), information quality (0.369) and reputation (0.165) explain trust. In Head and Hassanein, respondents name in open answers reputation, a phone number that reaches someone, and a page that looks professional — one of them says he calls the number to check whether it is even in service. Another suspects the company “just paid the regulator money to put the seal on their website”.

Where the high figures come from

Much better numbers circulate in marketing material. López Jiménez and colleagues (2021) are a traceable case: there, seals raise online sales by more than 66 percent for the majority of companies. What was surveyed, however, was not buyers but 127 retailers who already carry a seal — mostly their marketing or IT managers, online and without any identity check, as the authors concede themselves. The figure is an estimate by adopters about their own decision. We therefore list the work as a market source and not as evidence. Its own overview of some 25 seal experiments comes out mixed to negative, incidentally.

Source credibility: the fitting concept

When it comes to expert quotes, testimonials and the effect of who is speaking, the relevant literature is not obedience research but research on source credibility. Pornpitakpan (2004) surveyed five decades of it.

Her finding is clearer than one would expect in this field: almost all studies of the main effect find the credible source superior, for attitudes as well as for actual compliance. Papers with the opposite result, or none, Pornpitakpan expressly calls “few”.

What is inconsistent is something else, and it is the more interesting part: the interactions. There, credibility turns into a liability in places.

When the less credible source wins

Pornpitakpan names three situations in which the low-credibility source is superior:

  • Customers already hold a positive attitude towards the brand.
  • The product has been on the market long enough that they have tried it — then their own behaviour serves as the evidence, not the sender.
  • The claim runs against the source’s own interests.

For practice this means the expert appearance belongs at the start of a relationship, not in communication with regulars. Putting a specialist in front of satisfied existing customers argues against their own experience.

Evidence beats the sender

Hunt (1972) and McCroskey (1969, 1970) arrive at the same point: where the message contained supporting evidence, high- and low-credibility senders were equally persuasive. Pornpitakpan concludes that the presence of evidence can override the credibility effect. Conversely, unfamiliar evidence raises the persuasiveness of the low-credibility source, not of the high one.

That is the soberest reading of the whole field: a sender label stands in for an argument as long as there is no argument.

For everyday products nobody found anything

Friedman and Friedman (1979) separate by product type. Expert voices worked for products carrying high financial, performance or physical risk, such as household durables. Celebrities worked for products with high psychological or social risk, such as jewellery. For packaged everyday goods neither did anything. For low-risk products the typical consumer was the most effective sender, not the specialist.

Freiden (1984) also found that expert voices produced better quality ratings than celebrities but were less influential than the chief executive or a typical customer.

Celebrity endorsers: figures, but with sharp limits

Amos, Holmes and Strutton (2008) summarised the effect of celebrity endorsers quantitatively: 32 papers, 266 effect sizes, 185 of them significant. The work ranks the sender effects like this:

Attribute Mean r (the same measure as above)
Negative information about the person −0.62
Trustworthiness 0.46
Expertise 0.38
Attractiveness 0.38
Credibility overall 0.30
Familiarity 0.26
Performance in their own field −0.05

Two things stand out. The largest value is a negative one. Bad news about the person affects advertising effectiveness more strongly than any positive attribute does. And trustworthiness beats expertise — the same finding Pornpitakpan reports under the heading “better liked than right”.

Performance in their own field, the very reason someone is famous at all, correlates at practically zero and with the wrong sign.

These figures need reading more cautiously than they look, however. The authors themselves put a note under their table saying the mean r values are unweighted and should be viewed with caution; they ran the test on weighted ranks. And the most striking value rests on the thinnest basis: negative information accounts for only 3 percent of the 266 effect sizes, about eight. The authors expressly call for more research on exactly that.

Practical cases

A recognised badge where the hesitation happens

Plausible

If you use a badge, use one your audience knows, and place it where customers actually hesitate — at the entry of payment details. The justification for that is usability, not the psychology of authority.

What sits next to it matters more anyway, according to Kim et al. (2008): an intelligible privacy statement, complete product and delivery information, a vendor you can identify. Those three explained trust there; the seal did not.

Competent voices rather than famous ones

Plausible

A quote works when the person is competent for exactly the question at hand. That is the reading the credibility literature suggests — and it is easier to deliver than fame.

Friedman and Friedman (1979) support this for products with performance or financial risk. For everyday packaged products, by contrast, neither specialist nor celebrity did anything — there the typical customer was the most effective sender.

Test badges against no badges

Hypothesis

Because the evidence is missing, this is a classic A/B case. Measure not only completion but also where people drop out: a badge that distracts can do harm in the wrong place.

Awards with year and awarding body

Hypothesis

An award that names the year and the awarding body is verifiable. Whether that works better than the logo alone is open — but it is the version that survives a follow-up question.

What we deliberately do not recommend

  • Invented or self-awarded badges. A seal designed by your own marketing department asserts a review that never happened.
  • Milgram as justification. Supporting the authority principle with obedience experiments transfers a finding onto a different subject.
  • Titles without competence. A credential from an unrelated field is a signal that works against you on closer inspection.
  • Actors in white coats without disclosure. That is not a design question.

Ethics check: nudge or sludge?

Limits and criticism

Science Corner

Sources

  1. Key studyFull text checkedMilgram, S. (1963). Behavioral study of obedience. Journal of Abnormal and Social Psychology, 67(4), 371–378.
  2. Key studyFull text checkedBickman, L. (1974). The social power of a uniform. Journal of Applied Social Psychology, 4(1), 47–61.
  3. ReplicationFull text checkedBurger, J. M. (2009). Replicating Milgram: Would people still obey today? American Psychologist, 64(1), 1–11.
  4. ReplicationFull text checkedDoliński, D., Grzyb, T., Folwarczny, M., Grzybała, P., Krzyszycha, K., Martynowska, K., & Trojanowski, J. (2017). Would you deliver an electric shock in 2015? Obedience in the experimental paradigm developed by Stanley Milgram in the 50 years following the original studies. Social Psychological and Personality Science, 8(8), 927–933.
  5. ReviewFull text checkedPornpitakpan, C. (2004). The persuasiveness of source credibility: A critical review of five decades' evidence. Journal of Applied Social Psychology, 34(2), 243–281.
  6. Meta-analysisFull text checkedAmos, C., Holmes, G., & Strutton, D. (2008). Exploring the relationship between celebrity endorser effects and advertising effectiveness: A quantitative synthesis of effect size. International Journal of Advertising, 27(2), 209–234.
  7. Key studyFull text checkedKim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564.
  8. ReplicationFull text checkedHead, M. M., & Hassanein, K. (2002). Trust in e-commerce: Evaluating the impact of third-party seals. Quarterly Journal of Electronic Commerce, 3(3), 307–325.
  9. Market dataFull text checkedLópez Jiménez, D., Dittmar, E. C., & Vargas Portillo, J. P. (2021). The use of trust seals in European and Latin American commercial transactions. Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 150.
Setting
Obedience experiments in the lab and on the street with two replications, one review of five decades of credibility research, plus two surveys on trust seals in online retail
Scores
Obedience to authority
Effect
Robust
Transfer
Hypothesis
Source credibility
Effect
Context-dependent
Transfer
Plausible
Trust badges at checkout
Effect
Preliminary
Transfer
Hypothesis
Source check
9 / 9 read in full
Replication status
mixed
Checked on
8 November 2026

Frequently asked questions

Do trust badges raise conversion?

The two surveys on this find no relationship: in Kim et al. (2008) the attitude towards seals correlates with purchase intention at 0.02. The more common reason is mundane — a large share of customers do not know these seals. Treat badges as an A/B test, not as a supported measure.

Which badge should I use?

If any, one your customers recognise. An unknown badge is one more meaningless logo — and it takes up space exactly where customers already hesitate. That is the tightest point: 73.7 percent of respondents in Kim et al. (2008) did not know that websites are certified by third parties at all.

Do expert quotes work in advertising?

Mostly yes. Pornpitakpan (2004) records that almost all studies of the main effect find the credible source superior. Three exceptions are documented: when customers already like the brand, when they know the product themselves, and when the claim runs against the source’s own interests. And once the message contains real evidence, high and low credibility even out anyway.

May I state titles and awards?

Yes, if they are true and relate to the offer. A doctorate in an unrelated field is an authority signal without competence for the question — and that is exactly what gets noticed.

Change log

  • : Language pass: statements about our own editorial work replaced by statements about the subject — such as “we know of” or “we carry the figures as”. Notes on where a finding comes from remain, since they bear on its weight. Figures and findings unchanged.
  • : Removed the “Hook:” prefix from the first heading. It named the paragraph’s function in the structure rather than its content, and stood as the first entry in every guide’s table of contents. The opening text itself is unchanged.
  • : Replication set to *mixed*. The obedience finding has been repeated — Burger (2009) and Doliński et al. (2017) are checked as replications, Amos et al. (2008) as a meta-analysis. The trust-seal half, by contrast, has been tested and comes out practically without result: Kim et al. (2008) and Head & Hassanein (2002) find no appreciable association. That split is exactly what *mixed* means. Scores unchanged.
  • : Body rewritten for general readers: the null correlations in Kim and colleagues now sit in a table, and what a correlation says is explained where it first appears. One passage described an earlier version of this page rather than the subject and now states directly what Pornpitakpan finds. Every figure and limitation is unchanged.
  • : First draft. All six sources are not yet evaluated; the text deliberately gives no percentages. Scores are provisional.
  • : Amos et al. (2008) evaluated: 32 papers, 266 effect sizes. The largest value is negative information about the person (r = −0.62), trustworthiness (0.46) beats expertise (0.38), and performance in the celebrity’s own field correlates at practically zero. Recorded: the mean r values are unweighted by the authors’ own note, the largest value rests on about eight effect sizes, and outside the US effects were less than half as large.
  • : Pornpitakpan (2004) evaluated. Direction corrected: the main effect of source credibility is largely consistent across five decades, not inconsistent; what is inconsistent are the interactions. Added: three situations in which the less credible source is superior; evidence cancels the effect; for packaged everyday goods neither expert nor celebrity did anything. Recorded: no effect size at all, a contested construct, missing control groups in the time-course studies.
  • : Three papers on trust seals added as a source. Kim et al. (2008): attitude towards seals correlates with trust at 0.05 and with purchase intention at 0.02; 73.7 percent do not know such certifications exist. Head & Hassanein (2002) independently arrive at 52 percent awareness. López Jiménez et al. (2021) listed as a market source, because the sales figure comes from retailers, not buyers. The effect score of 1 therefore rests on findings rather than on absent research; the score note was corrected accordingly. Hasan (2016) checked and not included.
  • : Doliński et al. (2017) evaluated: 72 of 80 in Poland, 90 against 85 percent in Milgram, with a ceiling effect the authors name themselves. Recorded: this replication also ends at 150 volts, and it tests Experiment 2 while Burger reconstructed Experiment 5. Three papers, three related setups.
  • : Milgram (1963) and Burger (2009) evaluated. Added: 26 of 40 in Milgram, 70 against 82.5 percent in Burger. Recorded: Burger stopped at 150 volts and reconstructed Experiment 5 from 1974, not the 1963 version cited here; his sample was tightly pre-filtered. Milgram explains his own finding through thirteen features of the situation.
  • : Bickman (1974) evaluated; all nine sources are now read. Corrected: it was not the uniform that produced more compliance but the guard's uniform alone. The milkman's uniform did not differ from plain clothes and, on compliance without a follow-up justification, fell below it (14 against 19 percent). Added: the three requests with all percentages, the note that the guard's uniform superficially resembled a policeman's, the small cells (12 to 24), the null finding on surveillance, and the two questionnaire studies that contradict the legitimacy reading. Scores unchanged.