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Assessing the Statistical Evidence in the Shonubi Case

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Part of the book series: Statistics for Social Science and Public Policy ((SSBS))

Abstract

A number of interesting statistical issues arose in determining the total amount of heroin smuggled into the United States by Charles O. Shonubi in his eight trips to and from Nigeria. Smuggling on each trip was accomplished by swallowing heroin-filled balloons. The only evidence of actual narcotics smuggled in those eight trips, however, was the 427.4 grams smuggled on the last trip. The case, United States a Shonubi, consists of a series of five opinions, three by the sentencing judge of the federal district (E.D.N.Y.) and two by the Court of Appeals for the Second Circuit. The primary issue in contention was the length of Shonubi’s sentence. The federal sentencing guidelines required that his sentence be based not just on the total quantity of drugs he carried internally at the time he was arrested, but also on “all such acts and omissions that were part of the same course of conduct or common scheme or plan as the offense of conviction.” The prosecution, therefore, argued that the total amount of drugs carried by Shonubi should include an estimate of the amount he carried on his seven previous trips. This latter estimate proved to be the most contentious part of the case. In this article we examine some of the statistical issues raised in the sentencing phase. These include whether the quantity of drugs carried by Shonubi on his last trip was correctly determined; the effects of using estimates of balloon weights of other smugglers in determining the amount of heroin carried by Shonubi on his seven previous trips; whether the modeling process should include a recognition of the existence of a learning curve for swallowing large numbers of heroin-filled balloons; the influence of covariates, such as age and gender, on the smuggling process; and the use of the bootstrap as a method of estimating drug amounts carried on prior trips. Three data sets on Nigerian heroin smugglers are used to provide information on constructing drug quantity estimates.

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References

  1. Aitken, C.G.G. (1998), Sampling—how big a sample? Journal of Forensic Sciences, 44, 750–760.

    Google Scholar 

  2. Aitken, C.G.G. (2000), Sample size determination and evidence interpretation. This volume.

    Google Scholar 

  3. Barrett, P.M. (1990), Nigerians smuggling heroin in their stomachs pose fast-growing problem for federal agents. Wall Street Journal, November 16, 1990, Section A, page 16.

    Google Scholar 

  4. Carroll, R.J. (1998), Measurement error in epidemiologic studies, Encyclopedia of Biostatistics, Volume 3, (eds. P. Armitage ad T. Colton). Chichester, U.K.: J. Wiley & Sons.

    Google Scholar 

  5. Carroll, R.J. and Ruppert, D. (1996), The use and misuse of orthogonal regression in linear errors-in-variables models. The American Statistician, 50, 1–6.

    Google Scholar 

  6. Carroll, R.J., Kuchenhoff, H., Lombard, F., and Stefanski, L.A. (1996), Asymptotics for the SIMEX estimator in nonlinear measurement error models. Journal of the American Statistical Association, 91, 242–250.

    Article  MathSciNet  MATH  Google Scholar 

  7. Carroll, R.J., Ruppert, D., and Stefanski, L.A. (1995), Measurement Error in Nonlinear Models. London: Chapman & Hall.

    MATH  Google Scholar 

  8. Casella, G. and Berger, R.L. (1990), Statistical Inference. Pacific Grove, CA: Wadsworth & Brooks/Cole.

    MATH  Google Scholar 

  9. Cass, C. (1998), Customs Service drug searches prompt horror tales, lawsuits. Associated Press report, December 2, 1998. http://www.foxnews.com/news/nationa1/1202/d_ap_1202_149.sml

    Google Scholar 

  10. Cochran, W.G. (1977), Sampling Techniques, third edition, New York: J. Wiley & Sons.

    MATH  Google Scholar 

  11. Cook, J.R. and Stefanski, L.A. (1994), Simulation-extrapolation estimation in parametric measurement error models. Journal of the American Statistical Association, 89, 1314–1328.

    Article  MATH  Google Scholar 

  12. Efron, B. and Tibshirani, R.J. (1993), An Introduction to the Bootstrap. New York: Chapman and Hall.

    MATH  Google Scholar 

  13. Fuller, W.A. (1987), Measurement Error Models. New York: J. Wiley & Sons.

    Book  MATH  Google Scholar 

  14. Gregory, A.M. (1994), Smugglers who swallow: The constitutional issues posed by drug swallowers and their treatment. University of Pittsburgh Law Review, 56, 323–365.

    Google Scholar 

  15. Hall, P. (1992), The Bootstrap and Edgeworth Expansion. New York: Springer-Verlag.

    Google Scholar 

  16. Izenman, A.J. (1999), Legal and statistical aspects of the forensic study of illicit drugs. Submitted for publication.

    Google Scholar 

  17. Kadish, M.J. (1997), The drug courier profile: in planes, trains, and automobiles; and now in the jury box. American University Law Review,46, 747–791.

    Google Scholar 

  18. Kendall, S.M. and Stuart, A. (1979), The Advanced Theory of Statistics, Volume 2. Inference and Relationship. Fourth edition. Chapter 29. London: Griffin.

    Google Scholar 

  19. Morton, W. (1998), In the bellies of “mules,” a killer drug is smuggled. Daily Record: Morris County’s Online Newspaper, http://www.dailyrecord.com/heroin/heroin9805.htm

    Google Scholar 

  20. Sarndal, C.-E., Swensson, B., and Wretman, J. (1992), Model Assisted Survey Sampling. New York: Springer-Verlag.

    Book  Google Scholar 

  21. Schum, D. and Tillers, P. (1995), Joint Report, Amended Appendix (Exhibit) B, 67 pages, United States District Court for the Eastern District of New York, 92 CR 0007 (JBW), United States u Shonubi.

    Google Scholar 

  22. Statistical Sciences (1995), S-Plus Guide to Statistical and Mathematical Analysis, Version 3.3. Seattle: StatSci, a division of MathSoft, Inc.

    Google Scholar 

  23. Stefanski, L.A. and Cook, J.R. (1995), Simulation-extrapolation: The measurement error jackknife. Journal of the American Statistical Association, 90, 1247–1256.

    Article  MathSciNet  MATH  Google Scholar 

  24. Tillers, P. (1997), Introduction: Three contributions to three important problems in evidence scholarship. Cardozo Law Review, 18, 1875–1889.

    Google Scholar 

  25. Treaster, J.B. (1992), Nigerian connection floods U.S. airport with Asian heroin. New York Times, February 15, 1992, Section 1, Page 1.

    Google Scholar 

  26. Vielmetti, B. and Bennett, K. (1990), Nigeria source of much heroin. St. Petersburg Times,November 2, 1990, page lA.

    Google Scholar 

  27. Weisberg, S. (1985), Applied Linear Regression. New York: J. Wiley & Sons.

    MATH  Google Scholar 

  28. Wren, C.S. (1999), A pipeline of the poor feeds the flow of heroin. New York Times, February 21, 1999, Metro Section, page 37.

    Google Scholar 

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Izenman, A.J. (2000). Assessing the Statistical Evidence in the Shonubi Case. In: Gastwirth, J.L. (eds) Statistical Science in the Courtroom. Statistics for Social Science and Public Policy. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1216-4_22

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  • DOI: https://doi.org/10.1007/978-1-4612-1216-4_22

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7046-1

  • Online ISBN: 978-1-4612-1216-4

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