State v. Bloom

516 N.W.2d 159, 1994 Minn. LEXIS 290, 1994 WL 169980
CourtSupreme Court of Minnesota
DecidedApril 29, 1994
DocketC9-94-55
StatusPublished
Cited by47 cases

This text of 516 N.W.2d 159 (State v. Bloom) is published on Counsel Stack Legal Research, covering Supreme Court of Minnesota primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
State v. Bloom, 516 N.W.2d 159, 1994 Minn. LEXIS 290, 1994 WL 169980 (Mich. 1994).

Opinions

OPINION

KEITH, Chief Justice.

Agreeing with the state on the central issue in each of three separate criminal appeals decided today,1 we hold, first, that the National Research Council’s recent adoption of the conservative “interim ceiling method” for computation of the probability that a randomly selected person would have the same DNA profile as that of a sample of bodily fluids found at a crime scene justifies the creation of a DNA exception to the rule against the admission of statistical probability evidence in criminal prosecutions to prove identity; second, that if the evidentiary foundation provided by the proponent of the evidence is sufficient, a properly qualified expert may express the opinion that, to a reasonable degree of scientific certainty, the defendant is (or is not) the source of the bodily evidence found at the crime scene.

These appeals2 give this court an opportunity to revisit an issue that recently has been [161]*161the focus of considerable controversy in the scientific community. The issue is not, as some have put it, the admissibility of DNA identification evidence in criminal prosecutions but the form that the presentation of that evidence takes.

DNA is a long, double-stranded molecule found in chromosomes carried in cell nuclei. William C. Thompson, Evaluating the Admissibility of New Genetic Identification Tests: Lessons from the “DNA War,” 84 J.Crim.L. & Criminology 22, 26 n. 18 (1993). It occurs in all cells that have a nucleus, including white blood cells, sperm cells, cells surrounding hair roots, and cells in saliva. Committee on DNA Tech, in Forensic Science, Nat’l Research Council, DNA Technology in Forensic Science S-l (Prepublication Copy 1992) [hereinafter NRC Report]. Most sections of DNA molecules vary little among individuals within a species. Thompson, supra, at 26 n. 18. However, some sections are polymorphic, meaning they do vary. Id. If two fragments do not match, they could not have a common source, but if they do match, they might have a common source. Id. at 26-27. Researchers as yet have not developed DNA profiles that cannot be shared by two or more people. David T. Wasserman, The Morality of Statistical Proof and the Risk of Mistaken Liability, 13 Cardozo L.Rev. 935, 973 (1991). However, the theory underlying forensic use of DNA profiles is that “as the number and variability of the polymorphisms utilized in the typing procedure increases, the odds of two people having the same profile become vanishingly small.” Id. at 972.

The “vanishingly small” probability figure that experts come up with in case after case is the probability of a random match. Carefully stated, it is the probability that a randomly selected person, if tested, would have the same DNA profile as that of the sample left at the scene. Richard Lempert, Some Caveats Concerning DNA As Criminal Identification Evidence: With Thanks to the Reverend Bayes, 13 Cardozo L.Rev. 303, 305-06 (1991). Thus, when the figure given is 1 in 1 billion, the expert is saying (if the expert chooses words carefully) that there is a 1 in 1 billion chance that a randomly selected person would have the same DNA profile as that of the sample left at the scene. Id.

The basic unmodified approach to obtaining the statistic is to estimate the percentage of people in the population with identical DNA at each particular locus and then, using the so-called product or multiplication rule, to combine the individual frequencies by multiplying them against each other and by the number 2. Thompson, supra, at 69 n. 208. Underlying the use of the product rule is the assumption that the frequency of a match at a particular locus is independent of the frequency of each of the other individual matches against which it is multiplied. NRC Report § 3.2.2, at 3-3.

There are a number of potential sources of error in computing the probability figure. These include:

(a) The databases which one uses may seriously underestimate the frequency in the population of a particular pattern of DNA at a particular locus. Thompson, supra, at 62, 66, 68.

(b) The databases may be unrepresentative, failing to take into account variations among population subgroups, or variations in particular geographical locales, in the frequency of certain DNA patterns at particular loci. Id. at 62.

(c) The assumption of statistical independence may be invalid. Id. at 61-62 n. 174.

If a population survey of Europe showed that 1 of 10 people had blond hair, 1 of 10 had blue eyes, and 1 of 10 had fair skin, one would be wrong to multiply these frequencies to conclude that the frequency of people with all three traits was 1 in 1,000. Those traits tend to co-occur in Nordics, so the actual frequency of the combined description is probably higher than 1 in 1,000.

[162]*162NRC Report § 3.2.2, at 3-3. The example deals with “expressed” or visible traits, but people do not mate at random and it therefore is possible that the DNA patterns, although “unexpressed,” are not statistically independent either. Lempert, supra, at 311— 12. Indeed, people often mate with other people having the same subset of possible traits, even though the traits are not expressed or visible. Thompson, supra, at 69-70. As stated by Lempert, “evidence of a DNA match is not nearly so probative as people have thought because suspect populations are not random agglomerations with respect to the likelihood of sharing the [traits] compared in DNA analysis.” Lempert, supra, at 312.

(d) The laboratory’s “false positive match rate” affects the reliability of the figure obtained using the product rule. False positive matches do occur, as the result of sloppy laboratory procedures, the poor quality of the materials used, the quality of the DNA sample obtained from the scene, the protocols calling for a match, and human error. Thompson, supra, at 91; Lempert, supra, at 323.

(e) If there was an error in concluding that there was a match at even one band in a particular case, then there is a very real chance that the jury will be told in that case that the chance of a random match is extremely small when in reality there is no match at all.

Because of these factors, the NRC in its 1992 report recommended the use of an extremely conservative “interim ceiling method” for estimating random match probabilities. (It is this method that the state’s expert, Professor Hartl, used in this case to arrive at the 1 in 634,687 figure. See footnote 2, supra.)

One of the concerns expressed in our cases, which we discuss in detail later, has been that admission of the random match probability figure will confuse jurors. There is a chain of inferences that the jurors must make in order to get from the starting point, the testimony as to the probability of a random match, to the conclusion that the defendant is the perpetrator of the crime. Those inferential steps include: match report — true match — source—present at scene' — -perpetrator. See Jonathan J. Koehler, Error and Exaggeration in the Presentation of DNA Evidence at Trial, 34 Jurimetrics 21 (1993). Errors may occur at each step:

(a) The inference that the reported match is a true match. Most expert witnesses are technicians. Andre A. Moenssens,

Free access — add to your briefcase to read the full text and ask questions with AI

Related

State v. Rodriguez
337 Conn. 175 (Supreme Court of Connecticut, 2020)
State v. Phillips
Supreme Court of South Carolina, 2020
State of Minnesota v. Rashad Devon Mickelson
Court of Appeals of Minnesota, 2016
Whack v. State
73 A.3d 186 (Court of Appeals of Maryland, 2013)
State v. Dixon
822 N.W.2d 664 (Court of Appeals of Minnesota, 2012)
State v. Hannon
703 N.W.2d 498 (Supreme Court of Minnesota, 2005)
State v. Bailey
677 N.W.2d 380 (Supreme Court of Minnesota, 2004)
Commonwealth v. Thad T.
796 N.E.2d 869 (Massachusetts Appeals Court, 2003)
State v. Miller
666 N.W.2d 703 (Supreme Court of Minnesota, 2003)
State v. Kromah
657 N.W.2d 564 (Supreme Court of Minnesota, 2003)
State v. Roman Nose
649 N.W.2d 815 (Supreme Court of Minnesota, 2002)
People v. Herndon
633 N.W.2d 376 (Michigan Court of Appeals, 2001)
State v. Joyce Lindsey
Court of Criminal Appeals of Tennessee, 1999
People v. Soto
981 P.2d 958 (California Supreme Court, 1999)
State v. Schneider
597 N.W.2d 889 (Supreme Court of Minnesota, 1999)
Fugate v. Commonwealth
993 S.W.2d 931 (Kentucky Supreme Court, 1999)
People v. Venegas
954 P.2d 525 (California Supreme Court, 1998)
State v. Williams
574 N.W.2d 293 (Supreme Court of Iowa, 1998)
State v. Riley
568 N.W.2d 518 (Supreme Court of Minnesota, 1997)
State v. Harvey
699 A.2d 596 (Supreme Court of New Jersey, 1997)

Cite This Page — Counsel Stack

Bluebook (online)
516 N.W.2d 159, 1994 Minn. LEXIS 290, 1994 WL 169980, Counsel Stack Legal Research, https://law.counselstack.com/opinion/state-v-bloom-minn-1994.