An instructive inter-laboratory comparison: The 1988 radiocarbon dating of the Shroud of Turin
Open accessAbstract
We review the statistical method cited in the report of the radiocarbon dating of the Shroud of Turin. Following strict analytical protocol, we find the Shroud data to be heterogeneous, while data from three control samples show no heterogeneity. We consider two potential sources for the Shroud data heterogeneity. The first, an approximate linear dependence of the dates on the original sample locations suggests a variation in the carbon isotopic composition. The second, differences in the cleaning protocols of the three laboratories may have given rise to differences in residual contamination. We suggest experiments to test the two competing hypotheses.
AI snapshot
Written from the paper’s full text.
TL;DR
Reanalysis of the 1988 Shroud of Turin radiocarbon data finds the Shroud sample (Sample #1) statistically heterogeneous, while the control samples are homogeneous, so the three laboratory means should not have been combined into a single date. The paper proposes either carbon isotopic variation across the sample or differential cleaning—notably Oxford’s petroleum ether step—as competing explanations and suggests experiments to test them.
Key findings
- Ward–Wilson χ² homogeneity tests reject homogeneity for Shroud Sample #1: present χ² = 6.3116, p = 0.0426, whereas control samples are homogeneous (Sample #2 p = 0.9221; Sample #3 p = 0.3071; Sample #4 p = 0.1249). Damon et al. reported rounded p-values of 5%, 90%, 50%, and 30%, respectively.
- The dates show an approximate linear dependence on original sample location: RCYBP = −3.7277 × Distance + 926.48, R² = 0.3975, F = 6.5981, p = 0.0279; using the Tucson 8-point data set gives R² = 0.3095, F = 6.2747, p = 0.0252.
- To bring Zurich and Tucson into agreement with Oxford, the authors calculate a shift of ~88 RCY; for that shift, contaminant amounts would be ~11 wt% if contamination occurred in 1700 and ~7 wt% in the mid-20th century, with areal densities of 1.5–2.5 mg/cm². For a smaller ~10 RCY shift, the corresponding values are ~1.2 wt% and ~0.7 wt%, with areal densities of 0.15–0.25 mg/cm².
- Weighted means for Sample #1 were Oxford 749 ± 31, Zurich 676 ± 24, Tucson 647 ± 28, with a combined weighted mean of 686 ± 16, but the authors argue this combination is inappropriate because the data are heterogeneous.
Methods
- Reanalysis of Damon et al. (1989) Table 1 individual AMS radiocarbon measurements for Shroud Sample #1 and three control samples from Oxford, Zurich, and Tucson/Arizona.
- Applied Ward and Wilson (1978) χ² homogeneity tests, Shapiro–Wilk and Anderson–Darling normality tests, modified Z-score outlier detection, and regression of dates against reconstructed sample locations.
- Used both the Tucson 4-point and 8-point data sets; weighted means were derived using quoted errors or data scatter; analyses were implemented in MS Excel, X-Pro, and the Real Statistics Resource pack for Excel.
Limitations
- Stated: the small number of observations limits normality testing; subsample locations were not described, so sample-site centers were used as proxies, possibly affecting precision; the source of heterogeneity is unknown and the contamination/isotope hypotheses are speculative; proposed experiments are needed to test them.
- Evident from the text: the study relies on published data and reconstructed sample geometry rather than new radiocarbon measurements, and the contamination calculations are illustrative, using ricinoleic acid as an example rather than direct evidence.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
3 of 24 cited sources checked · 3 supported · 0 flagged
- Premisecitation
Casabianca et al. (2019) concluded from newly available raw data that the Shroud data from the three laboratories are heterogeneous.
“Casabianca et al. (2019) reach a similar conclusion from their study of the newly available raw data, namely, that the Shroud data from the three laboratories are heterogeneous.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Casabianca et al. (2019) source
- Premisecitation
Freer-Waters and Jull (2010) conducted microscope examinations on material from the Shroud sample that Tucson retained from the dating study and reported having observed no coatings on either the threads or fibers.
“Freer-Waters and Jull (2010) conducted microscope examinations on material from the Shroud sample that Tucson retained from the dating study.These investigators reported having observed no coatings on either the threads or fibers”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Freer-Waters and Jull (2010) source
- Findingown data
For the Oxford and Zurich data, the null hypothesis of homogeneity is accepted in every case.
“In every case, we accept the null hypothesis for the Oxford and Zurich data, but reject the null hypothesis for the Sample #1 and Sample #4 measurements in the Tucson results, this after removing the two Tucson outliers in Sample #3.”
Quote in the paperSubstantial claim - Findingreasoning
Damon et al. (1989) failed to conduct standard statistical tests for homogeneity among the inter- and intralaboratory data.
“However, it seems the authors failed to conduct standard statistical tests for homogeneity among the inter-and intralaboratory data, a necessary step to justify combining the data as they did.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Damon et al. (1989) source
- Findingcitation
Two Tucson Sample #3 measurements, 1838 and 2137, are possible outliers because they exceed the modified Z-score threshold of 3.5.
“We find two measurements from Sample #3, Tucson measurements 1838 and 2137, as possible outliers since they exceed the modified Z-score of 3.5, which Inglewicz and Hoaglin (1993) suggest as a threshold to qualify a measurement as a possible outlier.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Iglewicz and Hoaglin (1993)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingreasoning
The heterogeneity issue for the Shroud sample is less readily apparent in Damon et al.'s presentation because they expressed p-values as per-cent quantities, rounding down for the control samples but up for Sample #1.
“We note that the heterogeneity issue for the Shroud sample is less readily apparent in their presentation because they expressed their p-values as per-cent quantities, rounding the results down to the nearest integer values for the control samples but up to the same precision level for Sample #1.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Damon et al. (1989) source
- Findingown data
The Sample #1 measurements (using the Tucson 4-point data set) show no obvious departures from normality.
“The data show no obvious departures from normality.”
Quote in the paperNot a substantial claim - Findingown data
The χ2 test on the four Tucson combined Sample #1 measurements rejects the null hypothesis.
“Thus, the χ 2 test for homogeneity on the eight measurement set rejects the null hypothesis as does the test of the four Tucson combined measurements.”
Quote in the paperSubstantial claim - Findingown data
For the Tucson data, the null hypothesis of homogeneity is rejected for Sample #1 and Sample #4 measurements after removing the two Tucson Sample #3 outliers.
“In every case, we accept the null hypothesis for the Oxford and Zurich data, but reject the null hypothesis for the Sample #1 and Sample #4 measurements in the Tucson results, this after removing the two Tucson outliers in Sample #3.”
Quote in the paperSubstantial claim - Findingown data
No other measurements met the modified Z-score criterion for a possible outlier.
“No other measurements met this criterion.”
Quote in the paperNot a substantial claim - Findingown data
The Shroud data (Sample #1) are statistically heterogeneous.
“Following strict analytical protocol, we find the Shroud data to be heterogeneous, while data from three control samples show no heterogeneity.”
- Also stated in: § Damon · plain
“Tables 2 and 3 compliment Table 2 from Riani et al. (2012) and point to the same conclusion of data heterogeneity in Sample #1.”
- Also stated in: § Damon · plain
“Sample #1, however, does not produce a homogeneous set of means and, as stated by W-W, should not be combined into a single weighted mean but rather should be carefully reconsidered.”
Quote in the paperSubstantial claim - Also stated in: § Damon · plain
- Findingown data
Our analyses identify a statistically significant heterogeneity in the dates reported for the Shroud sample.
“Our analyses correct this deficiency, and in the process identify a statistically significant heterogeneity in the dates reported for the Shroud sample.”
Quote in the paperSubstantial claim - Findingown data
Without any evaluation of the data prior to testing for equality of the laboratory means, the results show the means to be different within the uncertainties derived from the data.
“Without any evaluation of the data prior to testing for equality of the laboratory means, the results show the means to be different within the uncertainties derived from the data.”
Quote in the paperSubstantial claim - Findingown data
The date measurements may be systematically related to the sample location.
“We test the null hypothesis that no functional relationship exists and find an F statistic = 6.5981 producing a p-value = 0.0279 implying the acceptance of the alternate hypothesis: that the date measurements may be systematically related to the sample location.”
Quote in the paperSubstantial claim - Findingown data
The residuals from the regression analysis appear to be normally distributed.
“A further analysis of the regression shows the residuals appear to be normally distributed.”
Quote in the paperNot a substantial claim - Findingown data
If the Zurich and Tucson data were displaced upward by 88 RCY, all of the results would agree within the uncertainty observed.
“If the Zurich and Tucson data were displaced upward by 88 RCY as shown in the figure all of the results would agree within the uncertainty observed.”
Quote in the paperSubstantial claim - Findingreasoning
If the magnitude of the adjustment were as small as ~10 RCY, the χ2 analysis would confirm statistical homogeneity assuming the uncertainties in the data did not change.
“Indeed, if the magnitude of the “adjustment” were as small as ~10 RCY, the χ 2 analysis would confirm a statistical homogeneity assuming the uncertainties in the data did not change.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The uncertainties in the data did not change.
- Findingreasoning
Corresponding areal densities for contamination would then fall in the range 0.15-0.25 mg/cm2.
“Corresponding areal densities for contamination would then fall in the range 0.15-0.25 mg/cm 2 .”
Quote in the paperNot a substantial claim - Findingown data
For both the four-point and eight-point Tucson data sets, the statistical analyses find the date measurements may be systematically related to the sample location.
“Thus, for both sets of data our statistical analyses find the date measurements may be systematically related to the sample location.”
Quote in the paperSubstantial claim - Findingreasoning
For an areal density of the sample in the range 20-25 mg/cm2, the areal density of contaminant would be in the range 1.5-2.5 mg/cm2.
“For an areal density of the sample in the range 20-25 mg/cm 2 , the areal density of contaminant would be in the range 1.5-2.5 mg/cm 2 .”
Quote in the paperNot a substantial claim - Findingcitation
The current findings are consistent with Walsh (2000), who applied the Kruskal-Wallis test.
“The current findings are consistent with those of Walsh (2000) who applied the non-parametric test of Kruskal and Wallis (1952).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Walsh (2000)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Kruskal and Wallis (1952) source
- Findingown data
A linear regression of the individual laboratory data as a function of centroid positions yields RCYBP = -3.7277× Distance + 926.48 with R2 = 0.3975, incorporating measurement errors.
“The linear function derived from a regression analysis (RCYBP = -3.7277× Distance + 926.48) and shown in the plot corroborates this observation.”
- Also stated in: § 4.4. Correlation of sample locations and dates · plain
“The linear relationship derived includes incorporation of the measurement errors for each of the reported dates; for this fit, R 2 = 0.3975.”
Quote in the paperSubstantial claim - Also stated in: § 4.4. Correlation of sample locations and dates · plain
- Findingown data
A linear dependence may exist between the isotopic composition of the subsamples and their respective locations in the original precut fabric.
“Inspection of the trend in Fig. 3 suggests that a linear dependence may exist between the isotopic composition of the subsamples and their respective locations in the original precut fabric.”
Quote in the paperSubstantial claim - Study design and conductown data
Exclusion of the two Tucson Sample #3 outliers does not affect any conclusions of the study.
“Accordingly, we removed these two data from our formal statistical evaluations although we note that none of the conclusions of this study are affected by the exclusion of these data (see e.g.Table 1).”
Quote in the paperNot a substantial claim - Interpretationreasoning
The cleaning procedures used on control samples #2, #3, and #4 were likely sufficient to substantially reduce any contamination that may have been present on them.
“We note in a later section that no statistical issues arise with Samples #2, #3, and #4, which indicates it likely that the cleaning procedures used were sufficient to substantially reduce any contamination that may have been present on the control samples.”
Quote in the paperSubstantial claim - Premisecitation
Riani et al. (2012) examined 387,072 possible combinations of subsample locations and concluded that there existed a statistically significant location-based linear trend that appears to indicate the existence of an unidentified systematic effect.
“Riani et al. (2012) examined 387,072 possible combinations of subsample locations and concluded that there existed a statistically significant location-based linear trend that appears to indicate the existence of an unidentified systematic effect.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Riani et al. (2012) source
- Interpretationreasoning
It is plausible that small amounts of contamination sufficient to displace the radiocarbon dates may have eluded detection in the Freer-Waters study.
“It is therefore plausible that small amounts of contamination sufficient to displace the radiocarbon dates may have eluded detection in the Freer-Waters study.”
Quote in the paperSubstantial claim - Interpretationown data
The close correspondence of results from the control samples suggests that nothing in either the test or data-reduction procedures of the laboratories, presuming the procedures were consistently applied, introduces significant systematic errors into the respective mean dates they derive.
“We restrict our attention to cleaning because the close correspondence of results from the control samples suggests that nothing in either the test or data-reduction procedures of the laboratories, presuming the procedures were consistently applied, introduces significant systematic errors into the respective mean dates they derive.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The procedures were consistently applied.
- Interpretationreasoning
The shortcoming begins with the lack of adherence to the protocol that W-W define for combining the inter-laboratory data sets.
“The shortcoming begins with the lack of adherence to the protocol that W-W define for combining the inter-laboratory data sets.”
Quote in the paperSubstantial claim - Interpretationown data
This finding of heterogeneity would technically preclude the step of combining the individual data sets and reporting the mean date as was done.
“Technically, this finding would preclude the step of combining the individual data sets and reporting the mean date as was done.”
Quote in the paperSubstantial claim - Interpretationown data
Even without outlier and homogeneity evaluations, the Sample #1 data in Table 4 show the laboratory means should not have been combined into a single estimated date as was done in Damon et al.
“Although we believe the outlier and homogeneity evaluations should be performed to provide a more complete and consistent depiction of the data, even without those evaluations the Sample #1 data result in Table 4 show the means should not have been combined into a single estimated date as was done in Damon et al.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Damon et al.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Amounts of ricinoleic acid in the areal density range 1.5-2.5 mg/cm2 may be sufficient to bring the results of Damon et al. (1989) for Sample #1 into agreement if this is the sole source of contamination.
“We find that amounts of this material in the areal density range 1.5-2.5 mg/cm 2 may be sufficient to bring the results of Damon et al. (1989) for Sample #1 into agreement if this is the sole source of contamination.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Damon et al. (1989) source
- Premisecitation
Damon et al. (1989) chose to weight equally each of the three means-the scatter-weighted Tucson using the standard error of the mean data and the quoted error-weighted Zurich and Oxford data-to find their arithmetic mean.
“Rather, they chose to weight equally each of the three means -the scatter-weighted Tucson 2) using the standard error of the mean data and the quoted error-weighted Zurich and Oxford data -to find their arithmetic mean.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Damon et al. (1989) source
- Interpretationreasoning
Our review and analysis of the Shroud radiocarbon data reveal a significant shortcoming in the original report by Damon et al. (1989).
“Our review and analysis of the Shroud radiocarbon data reveal a significant shortcoming in the original report by Damon et al. (1989).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Damon et al. (1989) source
- Interpretationreasoning
Damon et al. (1989) did not follow the W-W recommendation to reconsider the data.
“The overall conclusion is that Damon et al. (1989) did not follow the W-W recommendation to reconsider the data.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Damon et al. (1989) source
- Premisecitation
Damon et al. (1989) estimated the standard error of that mean by combining the standard errors of those means as if all the data were drawn from the same population.
“They then estimated the standard error of that mean by combining the standard errors of those means as if all the data were drawn from the same population.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Damon et al. (1989) source
- Classified as probably not a substantial claim. 11
- May combine two claims. 16
- The quote only partly states this claim. 1
Classified as probably not a substantial claim.
PremisecitationRasmussen et al. (2001) and (2009) reported that castor oil, originally applied to fragments of the Dead Sea scrolls to enhance their readability, could not be removed sufficiently by AAA treatment for reliable carbon dating.
“This example is interesting because Rasmussen et al. (2001) and(2009) reported that castor oil, originally applied to fragments of the Dead Sea scrolls to enhance their readability, could not be removed sufficiently by AAA (acid-alkali-acid) treatment for reliable carbon dating.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Rasmussen et al. (2001) source
- cites [2009]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Findingnone givenWhether the cleaning procedures were sufficient for the level and types of contamination seen on Sample #1 is unclear.
“Whether they were sufficient for the level and types of contamination seen on Sample #1 is unclear.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataQ-Q plots for the other three samples show similar behavior to Sample #1, with no obvious departures from normality.
“Q-Q plots corresponding to each of the other three samples show similar behaviors as seen in the Appendix Fig. A1.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningWithin the limitations imposed by the small number of observations for each sample, there is no statistical evidence that either the residuals of the data or the data themselves are other than normally distributed.
“Therefore, within the limitations imposed by the small number of observations for each sample, there is no statistical evidence that either the residuals of the data or the data themselves are other than normally distributed.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe χ2 test for homogeneity on the eight Tucson Sample #1 measurement set rejects the null hypothesis, with χ2 = 14.4562 and p-value = 0.0435.
“As noted previously, more than eight years after the publication of 5) results in a χ 2 value of 14.4562 and a p-value = 0.0435.Thus, the χ 2 test for homogeneity on the eight measurement set rejects the null hypothesis as does the test of the four Tucson combined measurements.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSamples #2, #3, and #4 each produce homogeneous sets of means that can be combined into an overall weighted mean for each sample.
“Based on the χ 2 analyses, Samples #2, #3, and #4 each produce homogeneous sets of means that can be combined into an overall weighted mean for each sample.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe mean results from the Zurich and Tucson data agree within their calculated experimental error, whereas that from Oxford does not.
“In support of the contamination hypothesis, Fig. 4 illustrates how the mean results from the Zurich and Tucson data (open symbols) agree within their calculated experimental error (note level B-B′), whereas that from Oxford does not (A-A′).”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningFor a shift of 88 RCY, the weight percent of contaminant before treatment would have been ~11 wt% had the contamination occurred in 1700 and ~7 wt% in the mid-20th century.
“For a shift of 88 RCY as shown in Fig. 4, we calculate the weight percent of contaminant before treatment to have been ~11 wt% had the contamination occurred in 1700 and ~7 wt% in the mid-20th century.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSubstituting the Tucson eight-point data set for the four-point set yields a similar linear relationship, with R2 reduced to 0.3095 due to wider dispersion of the eight Tucson measurements.
“Additionally, we substituted the Tucson eight-point data set for the four-point set and found a similar linear relationship.However, the R 2 value was reduced to 0.3095 due to the wider dispersion of the eight Tucson measurements.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEvaluating the eight-point Tucson relationship produces F = 6.2747 and a p-value of 0.0252.
“Evaluating that relationship produces F = 6.2747 and a p-value of 0.0252 as can be seen in the Appendix Fig. A2.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningFor the lesser shift of 10 RCY, the corresponding areal concentrations of contaminant would be ~1.2 wt% for contamination in 1700 and ~0.7 wt% in the 20th century.
“For the lesser shift of 10 RCY, the corresponding areal concentrations of contaminant would be ~1.2 wt% for contamination in 1700 and ~0.7 wt% in the 20th century.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationThe samples were randomly selected and independently assigned to the individual laboratories.
“The samples were randomly selected and independently assigned to the individual laboratories.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Damon et al. (1989) source
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningHad Damon et al. conducted standard homogeneity tests, the statistical heterogeneity of the data should have served as a qualifier to their conclusions and led to further exploration of the underlying cause of the discrepancies.
“Had they conducted these tests, the statistical heterogeneity of the data should have served as a qualifier to their conclusions and led to a further exploration of the underlying cause of the discrepancies.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe procedure used by Damon et al. (1989) to combine the means is inappropriate because it deliberately ignores the heterogeneous nature of the data uncovered by the analysis and introduces error into the statistical analysis.
“This procedure is inappropriate since it deliberately ignores the heterogeneous nature of the data uncovered by the analysis and introduces error into the statistical analysis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Damon et al. (1989) source
May combine two claims.
Study design and conductreasoningAlthough the study was initially intended to be blind, the investigators could readily identify the Shroud sample as distinct from the controls; this unavoidable constraint is not thought to have affected the outcome of the overall study.
“Although the study was initially intended to be blind, the investigators could readily identify the Shroud sample as distinct from the three controls due to the Shroud's unique herringbone weave and the z-twist of its threads.This unavoidable constraint is not thought to have affected the outcome of the overall study.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationThe homogeneity hypothesis is established by first framing the null hypothesis H0 that the expected values of the individual laboratory data are equal and then applying a chi-square (χ2) test on H0.
“This outcome is established by first framing the hypothesis H 0 that the expected values of the individual laboratory data are equal and then by applying a chi-square (χ 2 ) test on H 0 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites W-W
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Study design and conductreasoningEach of the AMS procedures has error-detection and quality assurance protocols, so the laboratories should have obtained reliable results.
“Each of these procedures has error-detection and quality assurance protocols, so the laboratories should have obtained reliable results.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAccording to Ward and Wilson (W-W), one may combine data in Case I studies only when the homogeneity hypothesis is accepted.
“According to W-W, one may combine data in Case I studies (those in which a sample is divided and subjected to a series of independent measurements) only when the homogeneity hypothesis is accepted.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Ward and Wilson (1978) source
- cites W-W
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationW-W recommended replacing the quoted errors σij with the standard error (or scatter) of the measurements from their mean value when the χ2-derived p-value is less than 0.05.
“Returning to the question of how to proceed when the χ 2 -derived pvalue is less than 0.05, we recall that W-W recommended replacing the use of the quoted errors σ ij with the standard error (or scatter) of the measurements from their mean value.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites W-W
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningLacking adherence to protocol, the finding of heterogeneity should, at the very least, have prompted a strong qualification to the reported final result.
“Lacking this adherence to protocol, the finding of heterogeneity should, at the very least, have prompted a strong qualification to the reported final result.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThe fundamental premise of this study is that the data can neither be interpreted meaningfully nor combined correctly using either weighting scheme unless their statistical homogeneity is first demonstrated.
“The fundamental premise of this study is that we can neither interpret the data meaningfully nor combine them correctly using either weighting scheme unless we first demonstrate their statistical homogeneity.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationFlury-Lemburg (2007) noted a greasy dirt deposit in the area surrounding Sample #1 and Adler (1996) observed heavy contamination on sample threads he examined.
“in contrast to the observations of Flury-Lemburg (2007) who noted a greasy dirt deposit in the area surrounding Sample #1 and Adler's (1996) observation of heavy contamination on sample threads he examined.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Flury-Lemburg (2007)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Adler (1996) source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenThe Kruskal-Wallis test does not depend on the functional form of the distribution, but unlike the W-W approach it does not take into account the uncertainties in the data and therefore may be less informative and have less statistical power.
“The Kruskal-Wallis test does not depend on the functional form of the distribution, but unlike the W-W approach it does not take into account the uncertainties in the data and therefore may be less informative and have less statistical power.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The individual measurements reported by Damon et al. (1989) in Table 1 are accurate and complete as published.
“Our purpose is to address some of the shortfalls identified by reanalyzing the data that Damon et al. (1989) present in their Table 1”
The authors state this as an assumption.
The composition of the sample initially excised for the radiocarbon dating (~20 mm × ~80 mm) adequately represents that of the entire Shroud cloth (~1.1 m × ~4.4 m).
“An isotopic variation would be of vital concern because a primary underlying assumption of the radiocarbon study is that the composition of the sample initially excised for the purpose (~20 mm × ~80 mm) adequately represents that of the entire cloth, which measures (~1.1 m × ~4.4 m).”
The paper relies on this without support.
Oxford used petroleum ether for pre-cleaning whereas the other two laboratories did not.
“However, to entertain one possibility we note that one aspect of Oxford's cleaning procedure differed from that of the other two laboratories in their use of petroleum ether for pre-cleaning.”
The paper relies on this without support.
Pet ether is an effective solvent for lipids and waxes and other hydrocarbon compounds.
“Pet ether is an effective solvent for lipids and waxes and other hydrocarbon compounds, and we postulate that Oxford was successfully able to remove a portion, or perhaps all, of a contaminant in one of these classes that Zurich and Tucson were not.”
The paper relies on this without support.
Ricinoleic acid (and presumably other fatty acids and related materials) are soluble in pet ether and are therefore subject to sample cleaning.
“However, ricinoleic acid (and presumably other fatty acids and related materials) are soluble in pet ether and are therefore subject to sample cleaning.”
The authors state this as an assumption.
The uncertainties in the data did not change.
“Indeed, if the magnitude of the “adjustment” were as small as ~10 RCY, the χ 2 analysis would confirm a statistical homogeneity assuming the uncertainties in the data did not change.”
The authors state this as an assumption.
The procedures were consistently applied.
“We restrict our attention to cleaning because the close correspondence of results from the control samples suggests that nothing in either the test or data-reduction procedures of the laboratories, presuming the procedures were consistently applied, introduces significant systematic errors into the respective mean dates they derive.”
Cites
An analysis of variance test for normality (complete samples)
SHAPIRO, S. S., & WILK, M. B. (1965) · Biometrika · doi:10.1093/biomet/52.3-4.591 · Cited by 23,480 · see citing works
An Analysis of Variance Test for Normality (Complete Samples)
Shapiro, S. S., & Wilk, M. B. (1965) · Biometrika · doi:10.2307/2333709 · Cited by 23,469 · see citing works
Use of Ranks in One-Criterion Variance Analysis
Kruskal, W. H., & Wallis, W. A. (1952) · Journal of the American Statistical Association · doi:10.1080/01621459.1952.10483441 · Cited by 13,912 · see citing works
Discussion Reporting of <sup>14</sup> C Data
Stuiver, M., & Polach, H. A. (1977) · Radiocarbon · doi:10.1017/s0033822200003672 · Cited by 5,640 · see citing works
Characterizing aquatic dissolved organic matter.
Leenheer, J. A., & Croué, J.-P. (2003) · PubMed · Cited by 4,891 · see citing works
Anderson, T. W., & Darling, D. A. (1954) · Journal of the American Statistical Association · doi:10.1080/01621459.1954.10501232 · Cited by 2,450 · see citing works
PROCEDURES FOR COMPARING AND COMBINING RADIOCARBON AGE DETERMINATIONS: A CRITIQUE
WARD, G. K., & WILSON, S. R. (1978) · Archaeometry · doi:10.1111/j.1475-4754.1978.tb00208.x · Cited by 946 · see citing works
Radiocarbon dating of the Shroud of Turin
Damon, P. E., Donahue, D. J., Gore, B. H., Hatheway, A. L., Jull, A. J. T., Linick, T. W., Sercel, P. J., Toolin, L. J., Bronk, C. R., Hall, E. T., et al. (1989) · Nature · doi:10.1038/337611a0 · Cited by 239 · see citing works
Errata: Use of Ranks in One-Criterion Variance Analysis
Kruskal, W., & Wallis, W. A. (1953) · Journal of the American Statistical Association · doi:10.2307/2281082 · Cited by 190 · see citing works
Summarizing a Set of Radiocarbon Determinations: A Robust Approach
Christen, J. A. (1994) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2986273 · Cited by 108 · see citing works
A Comprehensive Examination of the Various Stains and Images on the Shroud of Turin
Jumper, E. J., Adler, A. D., Jackson, J. P., et al. (1984) · Advances in chemistry series · doi:10.1021/ba-1984-0205.ch022 · Cited by 107 · see citing works
Physics and chemistry of the shroud of turin
Schwalbe, L. A., & Rogers, R. N. (1982) · Analytica Chimica Acta · doi:10.1016/s0003-2670(01)85263-6 · Cited by 104 · see citing works
Self-citationLinick, T. W., Jull, A. J. T., Toolin, L. J., et al. (1986) · Radiocarbon · doi:10.1017/s0033822200007670 · Cited by 99 · see citing works
Studies on the radiocarbon sample from the shroud of turin
Rogers, R. N. (2005) · Thermochimica Acta · doi:10.1016/j.tca.2004.09.029 · Cited by 91 · see citing works
Precision measurements of 14C in AMS — some results and prospects
Suter, M., Balzer, R., Bonani, G., et al. (1984) · Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms · doi:10.1016/0168-583x(84)90493-2 · Cited by 78 · see citing works
Non-destructive dating of ancient flax textiles by means of vibrational spectroscopy
Fanti, G., Baraldi, P., Basso, R., et al. (2013) · Vibrational Spectroscopy · doi:10.1016/j.vibspec.2013.04.001 · Cited by 46 · see citing works
RADIOCARBON MEASUREMENT BY ACCELERATOR MASS SPECTROMETRY: AN EARLY SELECTION OF DATES
Gillespie, R., Gowlett, J. A. J., Hall, E. T., et al. (1984) · Archaeometry · doi:10.1111/j.1475-4754.1984.tb00313.x · Cited by 45 · see citing works
Regression analysis with partially labelled regressors: carbon dating of the Shroud of Turin
Riani, M., Atkinson, A. C., Fanti, G., & Crosilla, F. (2013) · Statistics and Computing · doi:10.1007/s11222-012-9329-5 · Cited by 43 · see citing works
Rasmussen, K. L., van der Plicht, J., Cryer, F. H., Doudna, G., Cross, F. M., & Strugnell, J. (2001) · Radiocarbon · doi:10.1017/s0033822200031702 · Cited by 37 · see citing works
Rasmussen, K. L., van der Plicht, J., Doudna, G. L., et al. (2009) · Radiocarbon · doi:10.1017/s0033822200034081 · Cited by 36 · see citing works
Radiocarbon Dating of the Turin Shroud: New Evidence from Raw Data
Casabianca, T., Marinelli, E., Pernagallo, G., & Torrisi, B. (2019) · Archaeometry · doi:10.1111/arcm.12467 · Cited by 34 · see citing works
Updating Recent Studies on the Shroud of Turin
Adler, A. D. (1996) · ACS Symposium Series · doi:10.1021/bk-1996-0625.ch017 · Cited by 31 · see citing works
Investigating a Dated Piece of the Shroud of Turin
Freer-Waters, R. A., & Timothy Jull, A. J. (2010) · Radiocarbon · doi:10.1017/s0033822200056277 · Cited by 21 · see citing works
Interlaboratory Comparisons: Lessons Learned
Scott, E. M., Harkness, D. D., & Cook, G. (1997) · Radiocarbon · doi:10.1017/s0033822200018208 · Cited by 17 · see citing works
Mechanical ond opto-chemical dating of the Turin Shroud
Fanti, G., Malfi, P., & Crosilla, F. (2015) · MATEC Web of Conferences · doi:10.1051/matecconf/20153601001 · Cited by 14 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Iglewicz, B., Hoaglin, D., 1993. Volume 16: how to detect and handle outliers. In: Mykytka, E.F. (Ed.), The ASQC Basic References in Quality Control: Statistical Techniques.
- Walsh, B.J., 2000. The 1988 Shroud of Turin radiocarbon tests reconsidered. In: Proceedings of the 1999 Shroud of Turin International Research Conference Richmond Virginia, Magisterium Press, Glen Allen, Virginia.
Cited by
Sorted by citations
Lazzaro, P. D., Atkinson, A., Iacomussi, P., Riani, M., Ricci, M., & Wadhams, P. (2020) · Entropy · doi:10.3390/e22090926 · Cited by 7 · see citing works
“In this frame, [52] proposed the hypothesis that the different cleaning pretreatments carried out by the laboratories (see Section 6) may have removed contaminants unevenly, causing a spatial gradient of residual contamination that could explain the relationship between the radiocarbon age and the position of dated su…”
BackgroundOn Cleaning Methods and the Raw Radiocarbon Data from the Shroud of Turin
Schwalbe, L., & Walsh, B. (2021) · International Journal of Archaeology · doi:10.11648/j.ija.20210901.12 · Cited by 8 · see citing works
“, Figure 1 in Walsh and Schwalbe [6]).”
BackgroundMethodResultInfluentialSelf-citationThe Shroud of Turin: An Overview of the Archaeological Scientific Studies
Karapanagiotis, I. (2025) · Textiles · doi:10.3390/textiles5010008 · Cited by 3 · see citing works
“…possible to identify the origin of the heterogeneity, the authors made two hypotheses: either a variation in the carbon isotopic composition or contaminants introduced during the pretreatment (cleaning) procedures at the three laboratories in 1989 might account for the observed discrepancies [110].”
The Mysteries of the Shroud of Turin
Rucker, R. A. (2022) · Materials Evaluation · doi:10.32548/2022.me-02022 · Cited by 2 · see citing works
State‐of‐the‐Art Characterization Methods for Historic Textiles
Pour, R. A., Gashti, M. P., & He, J. (2022) · doi:10.1002/9781119983439.ch6
State‐of‐the‐Art Characterization Methods for Historic Textiles
Pour, R. A., Gashti, M. P., & He, J. (2022) · doi:10.1002/9781119983903.ch25
Analysis of textile fragments from the 1988 radiocarbon samples of the Turin Shroud
Freer-Waters, R. A., & Jull, A. J. T. (2026) · npj Heritage Science · doi:10.1038/s40494-026-02530-7
Partially labelled regression analysis: dating the Shroud of Turin using the ‘raw’ data
Riani, M., Atkinson, A. C., Corbellini, A., et al. (2026) · Statistical Methods & Applications · doi:10.1007/s10260-026-00851-2
“4, Walsh and Schwalbe 2020) suggest that some difference in residual contamination may have occurred as a result of specific differences in the cleaning procedures of the laboratories.”
- Authors
- Walsh, B., & Schwalbe, L.
- Corresponding author
- Walsh, Bryan
- Venue
- Journal of Archaeological Science: Reports
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 29
- Pages
- 102015
- ISSN
- 2352-409X (ISSN-L)
- OpenAlex
- W2996484788
- Semantic Scholar
- 1899c113b3ef7cfbd014a783a700d41bd5496bef
- Cited by
- 8
- References
- 23
- Citations by year
- 2026: 2 · 2025: 1 · 2022: 3 · 2021: 1 · 2020: 1
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Archaeological Science Reports (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Paleontology › Archaeology and ancient environmental studies
- Social Sciences › Arts and Humanities › Archeology › Cultural Heritage Materials Analysis
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Scientific Measurement and Uncertainty Evaluation
- Keywords
- Shroud of Turin, radiocarbon dating, interlaboratory comparison, data heterogeneity, δ13C, cleaning protocols, residual contamination
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-25.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-25.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review