
    [No. F062474.
    Fifth Dist.
    Apr. 30, 2013.]
    THE PEOPLE, Plaintiff and Respondent, v. KOUA XIONG, Defendant and Appellant.
    [CERTIFIED FOR PARTIAL PUBLICATION ]
    
      Counsel
    Scott Concklin, under appointment by the Court of Appeal, for Defendant and Appellant.
    Kamala D. Harris, Attorney General, Dane R. Gillette, Chief Assistant Attorney General, Michael P. Farrell, Assistant Attorney General, Catherine Chatman and Daniel B. Bernstein, Deputy Attorneys General, for Plaintiff and Respondent.
    
      
      Pursuant to California Rules of Court, rules 8.1105(b) and 8.1110, only the introductory paragraph, Procedural Summary, Facts, parts I., I.A. and I.B. of the Discussion, and the Disposition are certified for publication.
    
   Opinion

KANE, J.

Defendant Koua Xiong was convicted of the first degree murder of a taxi driver, José Jesus Martinez, who was found dead in his taxi, which had crashed into a tree. He had been killed with a single, pointblank gunshot to the back of the head. No suspect came to light until defendant was identified by a “cold hit”—a match of DNA profiles found through the comparison of the DNA profile from the blood found in and on the taxi with an offender database of DNA profiles. On appeal, defendant contends (1) the evidence was insufficient to support the convictions, (2) defense counsel was ineffective for failing to object to the DNA evidence and request a limiting instruction, and (3) the trial court erred in failing to stay the sentence on possession of a firearm pursuant to Penal Code section 654 We will affirm.

PROCEDURAL SUMMARY

On March 10, 2011, the Fresno County District Attorney charged defendant with murder (§ 187, subd. (a); count 1) and possession of a firearm by a felon (former § 12021, subd. (a)(1); count 2). As to count 1, the information also alleged that defendant personally and intentionally discharged a firearm (former § 12022.53, subd. (c)), which proximately caused José’s death (former § 12022.53, subd. (d)), and it alleged the special circumstances that the murder occurred during the commission of a robbery (§ 190.2, subd. (a)(17)(A)) and that the victim was operating a taxicab when he was killed (§ 190.25).

A jury found defendant guilty of first degree murder on count 1, found true all of the allegations, and found defendant guilty on count 2. The trial court sentenced him to life in prison without the possibility of parole on count 1, plus a consecutive 25-year-to-life term on the firearm enhancement under former section 12022.53, subdivision (d), and a stayed 20-year term on the firearm enhancement under former section 12022.53, subdivision (c). On count 2, the court sentenced defendant to the upper term of three years, to be served concurrently with the sentence on count 1.

FACTS

Very early in the morning of March 10, 2009, three taxis were lined up outside the bus station in Fresno, waiting for potential customers. A bus was expected to arrive at 1:45 a.m. Enrique was the driver of the first taxi, and José was the driver of the third taxi, a 1999 Ford Crown Victoria. About 1:00 a.m., Enrique saw José go into the bus station to use the restroom. When José came back out of the station, they greeted each other, and José went back to his taxi. After José got into his taxi, Enrique noticed in his side mirrors that a man walked up to José’s taxi and spoke to him. Enrique could not see the man’s face. Enrique watched with interest because he was first in the taxi line and should have gotten the next customer. Enrique saw the man get into José’s taxi. José pulled away, made a U-turn, and drove north. It was between 1:15 and 1:20 a.m.

About 1:30 a.m., a woman and her father were driving east on Kearney Boulevard when they saw a taxi on the side of the road. The taxi was on the north side of Kearney Boulevard, west of Hughes Avenue. The taxi was pointed in the wrong direction. It was very dark, and the woman was not sure if the taxi had hit a tree or if it was just parked, but it was in a strange position to be parked. Her father turned the car around to shine the high beam lights on the taxi. The woman told her father, “I think someone’s in the car. I think it hit the tree.” She immediately called 911. The person in the driver’s seat did not react to the high beams. The woman noticed that the taxi’s doors were all closed except for the rear door on the driver’s side, which was slightly open. She did not see anyone around or walking away from the taxi. She was afraid because she thought someone had gotten out of the backseat of the taxi.

Officers responded to the scene immediately. The front end of the taxi had collided with a very large palm tree and was badly damaged. Tire tracks showed the taxi had veered off the road before hitting the tree. The ignition key was on and the taxi was in drive, but the engine was not running. The headlights were still turned on, but they were no longer working. The taillights were still illuminated. The left rear door was wide open and the long center lapbelt was hanging out of the door. The right side of the taxi was up against a very large oleander bush. The right rear door was ajar and the front doors were closed.

José was sitting in the driver’s seat. He was not wearing a seatbelt. An officer was able to open the driver’s door, but two officers had to pull it fully open due to the damaged front quarter panel. José did not have a pulse. (At this point, officers did not realize he had been shot.) His light-colored jacket was almost completely unzipped and pulled open. Blood was smeared all over it. His right arm still rested on the armrest, which was also smeared with blood. Oddly, a watch with a flexible metal band was balanced on top of his forearm. The front airbags had deployed (and deflated) and were smeared with blood. The front passenger seat was pushed forward, particularly on the left side, and twisted in a clockwise manner toward the window.

A large quantity of blood was on the right side of the backseat, and it was smeared on the inside of the right rear door. Outside the right rear door, the area over the door was smeared with blood and free of the dust that covered the rest of the taxi. There were numerous blood smears starting near the right rear door handle and continuing on the right sail panel and rear quarter panel toward the rear of the taxi. Blood smears zigzagged across the top of the trunk. The left rear door was smeared with blood, and the door window had blood drippings 10 inches long. The center post between the left front and rear doors also bore the blood drippings, and the top of the taxi, directly above both doors on the left side, was smeared with blood. The roof edge of the taxi had two dents in the region between the doors on the left side. Near the dents, the paint was freshly chipped and the bare metal exposed. The inside of the left rear door was smeared with blood. The handle of the driver’s door was also smeared with blood.

After the driver’s door was opened, heavy blood drippings were apparent on the doorsill plate. Business cards and papers of the type normally found in a wallet were strewn on the floorboard and on the dirt outside the driver’s door. Numerous blood droplets were on the cards and papers. A plastic photograph holder of the type normally found inside a wallet contained photographs and was on the edge of the driver’s seat. A driving log and other papers were on the front passenger seat. No wallet was found, although it was José’s custom and habit to carry one.

One shoe print was found near the right rear of the taxi, next to the oleander, but no others were found. A piece of Mexican money was entangled in the oleander bush, and the bush was bloody. Near the left rear of the taxi, officers found several drops of blood in the dirt. Two officers and a police dog searched the surrounding area within a radius of about 300 yards, but found no one.

An accident investigator estimated that the taxi was traveling about 33 miles per hour when it collided with the palm tree. The taxi was rolling, not braking, and José necessarily had his foot on the accelerator. After the collision, the rear wheels continued to spin in the dirt and probably produced a lot of dust. The dents in the left side of the taxi’s roof edge line were induced damage from the sudden change in velocity during the collision. This buckling or caving generally causes paint chips to fly off. A person climbing over the roof of the car would not typically cause damage to the roof edge line, but would more likely dent the middle of the roof. The investigator did not believe the taxi’s roof damage was caused by a person.

The bent front passenger seat demonstrated that one unrestrained occupant in the backseat struck the back of the front seat upon the sudden deceleration from 33 to zero miles per hour when the taxi struck the tree. The occupant continued moving until he or she was stopped by the front seat. The seatbelts in the backseat showed no signs of having been worn during a collision. The driver’s seatbelt showed no major stretching, but it was an older, worn belt. And a seatbelt might incur less stretching when an airbag is deployed.

After the collision, the driver’s door was no longer sealable. The taxi’s doors would not have flown open during the collision; someone had to have opened them.

About 3:30 a.m., Detective Yee, the primary detective assigned to the case, arrived at the crime scene. He observed the blood inside the taxi, particularly on the back right seat, outside on the right rear of the taxi, and on the oleander bush right outside the right rear door. He also saw a drop of blood in the dirt, but he could find no blood trail leading away from the scene, and he found only one footprint. He looked again after the taxi was lifted from the site, but he still found no other tracks or drops of blood.

Detective Yee described the watch resting on José’s arm as a “cheap watch.” No fingerprints were found on the watch or anything else.

Detective Yee went to the hospital to observe José’s body and to examine his belongings. José’s light-colored jacket was smeared with a lot of blood. He had a cell phone, but no wallet. The blood on the jacket was concentrated on the left side of the jacket and around the pockets.

On March 10, 2009, the forensic pathologist performed the autopsy on José’s body. The pathologist observed a single gunshot wound to the center of the back of José’s head. The muzzle of the gun had been pressed to his head when it was fired. José was instantly incapacitated, his brain ceased functioning within seconds, and he died shortly thereafter. The pathologist estimated the bullet’s caliber as about .22, .25, or .32. He did not think it was as large as .38 caliber. José bore a diagonal bruise across his body from the seatbelt. His liver suffered a small superficial tear. José did not suffer injuries from the airbag. The pathologist determined that the gunshot was the cause of the death, and the manner of death was homicide. José’s blood tested negative for drugs and alcohol.

Fingerprints lifted from the taxi belonged to José’s roommate, who was eliminated as a suspect. No gun and no prints belonging to defendant were found inside the taxi. Twenty $1 bills were found inside the owner’s manual on the floor.

On March 11, 2009, the taxi was brought to the Department of Justice (DOJ) crime lab in Fresno. Detective Yee spoke to the DNA analyst and left the taxi for her to analyze. The analyst photographed the taxi thoroughly. She noted the blood on various surfaces on the inside and outside of the taxi. She observed that José’s jacket had blood on the inside and outside of both pockets and around the hood and back of the jacket.

The analyst took many blood samples from all of these stains, then analyzed the DNA in 16 of the samples, plus the blood drop that had been collected from the dirt at the scene. For each sample, she created a profile of 15 genetic loci, plus one gender marker. The DNA from the blood spatter on the inside of the taxi’s windshield matched the DNA from José’s blood. The rest of the blood samples all came from the same unknown male, for which the analyst now had a 15-locus DNA profile.

The analyst calculated the rarity of the unknown male’s DNA profile in three populations using the allele frequencies from African-American, Caucasian, and Hispanic population databases. The allele frequencies she used were determined by an FBI study. The analyst explained that the frequencies from the three ethnic populations provided an example of approximately how rare the profile was “across the board.” She did not use other ethnic databases, such as Asian or Indian databases. Using the three major populations was the DOJ’s standard procedure for statistical analysis throughout California. She explained that the unknown male’s DNA profile was “extremely rare.” She determined that “[t]he statistical chance that [she] would pick an unrelated individual at random that would have the same profile” was approximately “one in two septillion [(2 followed by 24 zeros)] African-Americans, [one] in 270 sextillion [(270 followed by 21 zeros)] Caucasians, and [one] in 56 sextillion [(56 followed by 21 zeros)] Hispanics.”

Because the police currently had no suspect in the crime, the analyst entered the unknown male’s DNA profile into the Combined DNA Index System (CODIS; an offender database) on May 22, 2009, to see if she could get a match or “hit.” This allowed her to compare the unknown male’s DNA profile to a database of the DNA profiles entered not only in California but also in the entire country. Initially, no match was found. But the CODIS program rechecked for matches on a regular basis, and on September 10, 2009, it found a match. The Richmond DOJ lab retested its sample to verify the profile, then notified the analyst of defendant’s name.

On September 14, 2009, the analyst called Detective Yee and told him defendant had been found as a match to the DNA profile. Detective Yee located defendant’s address on Hughes Avenue, about a mile from the crime scene. Officers went to defendant’s house, took him into custody, and brought him to the station for questioning.

The officers placed defendant in an interview room about eight feet square. The room locked from the inside and the only way out was with a department-issued key. Detective Yee read defendant his Miranda rights and defendant agreed to speak to Detectives Yee and Villalvazo. The interview was recorded by a hidden camera and the video was played for the jury at trial. In the interview, defendant explained that he sustained an injury to his head about six months earlier when some Mexicans hit him with a two-by-four in an alley. The wound bled and he still had a scar on the front of his face over his right eyebrow and up to his hairline. After they talked a while, Detective Yee showed defendant some photographs of the taxi crashed against the palm tree. At that point, defendant started to yawn and continued to yawn about 40 times, even though he had not yawned before. Defendant denied taking any property from José or being involved with his murder. After the detectives left the room, defendant got up and checked the door to see if it was locked. Detective Villalvazo and another detective, who were watching the video feed, saw defendant jump up onto the table, reach up to a ceiling tile, and push the tile up. Above the ceiling was a crawl space leading to other rooms. Detective Villalvazo thought defendant was trying to escape, so he and the other detective immediately ran into the room. As they entered, defendant was already dropping down; he then sat in the chair. He said, “I was looking for a camera or something.” A ceiling tile remained out of place. The detectives handcuffed defendant and escorted him to a holding cell for transport to the jail.

A technician collected DNA from the inside of defendant’s mouth with two buccal swabs. Detective Yee delivered the swabs to the DOJ lab so the analyst could compare defendant’s DNA profile to that of the unknown male. The analyst explained that this additional testing of a suspect’s DNA was required procedure after a cold hit. The analyst created defendant’s DNA profile from the cells on the buccal swab, and determined that his profile matched that of the unknown male. At trial, the analyst testified that in her expert opinion, defendant was the same person as the unknown male who left the blood in the taxi.

DISCUSSION

I. Sufficiency of the Evidence

Defendant contends that for various reasons the evidence was insufficient to support his convictions. We reject each of his contentions.

The test of sufficiency of the evidence is whether, reviewing the whole record in the light most favorable to the judgment below, substantial evidence is disclosed such that a reasonable trier of fact could find the essential elements of the crime beyond a reasonable doubt. (People v. Johnson (1980) 26 Cal.3d 557, 578 [162 Cal.Rptr. 431, 606 P.2d 738]; accord, Jackson v. Virginia (1979) 443 U.S. 307, 319 [61 L.Ed.2d 560, 99 S.Ct. 2781].) Substantial evidence is evidence that is “reasonable, credible, and of solid value.” (People v. Johnson, supra, at p. 578.) “[M]ere speculation cannot support a conviction. [Citations.]” (People v. Marshall (1997) 15 Cal.4th 1, 35 [61 Cal.Rptr.2d 84, 931 P.2d 262].) An appellate court must “presume in support of the judgment the existence of every fact the trier could reasonably deduce from the evidence.” (People v. Reilly (1970) 3 Cal.3d 421, 425 [90 Cal.Rptr. 417, 475 P.2d 649].) An appellate court must not reweigh the evidence (People v. Culver (1973) 10 Cal.3d 542, 548 [111 Cal.Rptr. 183, 516 P.2d 887]), reappraise the credibility of the witnesses, or resolve factual conflicts, as these are functions reserved for the trier of fact (In re Frederick G. (1979) 96 Cal.App.3d 353, 367 [157 Cal.Rptr. 769]). Furthermore, an appellate court can only reject evidence accepted by the trier of fact when the evidence is inherently improbable and impossible of belief. (People v. Maxwell (1979) 94 Cal.App.3d 562, 577 [156 Cal.Rptr. 630].) Our sole function is to determine if any rational trier of fact could have found the essential elements of the crime beyond a reasonable doubt. (Jackson v. Virginia, supra, 443 U.S. at p. 319; People v. Marshall, supra, at p. 34.) These principles are applicable regardless of whether the prosecution relies primarily on direct or circumstantial evidence. (People v. Lenart (2004) 32 Cal.4th 1107, 1125 [12 Cal.Rptr.3d 592, 88 P.3d 498].)

Viewing the evidence presented in this case in accord with the foregoing principles, we find it to be “reasonable, credible, and of solid value”—hence, “legally sufficient” (People v. Marshall, supra, 15 Cal.4th at p. 35)—and accordingly conclude it is sufficient to uphold defendant’s convictions.

A. Science

Generally, a person becomes a suspect in a crime for reasons other than his DNA profile. When his DNA is later tested and found to match the DNA left behind by the perpetrator at the crime scene, the evidence against the suspect is enormously strengthened. By contrast, in cold hit cases (also called database search or database “trawl” cases), a person becomes a suspect only because his DNA profile matches the perpetrator’s.

“A genetic profile is much like a physical profile or composite sketch—it is a compilation of traits to describe the perpetrator. . . . [T]he more traits described, the more specific the sketch of the perpetrator and the more limited the pool of possible perpetrators.” (People v. Pizarro (2003) 110 Cal.App.4th 530, 562 [3 Cal.Rptr.3d 21] (Pizarro II), disapproved on other grounds in People v. Wilson (2006) 38 Cal.4th 1237, 1250-1251 [45 Cal.Rptr.3d 73, 136 P.3d 864].) A match between a suspect’s traits and the perpetrator’s traits directly incriminates the suspect by demonstrating that he resembles the perpetrator and therefore could be the perpetrator. But the match alone does not establish the weight of the evidence. Anyone with the same profile could be the perpetrator, and if a large number of people share the profile, the match does not carry much evidentiary weight. Thus, the match requires a second piece of evidence—the statistical frequency of the profile. “The statistical evidence gives the match evidence its weight. It is an expression of the rarity of the perpetrator’s profile, the size of the pool of possible perpetrators, and the likelihood of a random match with the perpetrator’s profile.” (Pizarro II, supra, at p. 542; see id. at p. 576.) “The determination of what is often called the ‘significance of the match’ is a statistical assessment of how incriminating it is that the defendant’s profile matches the perpetrator’s.” (Id. at p. 576.) The rarer the profile in the population, the more likely the defendant is in fact the perpetrator. (Id. at pp. 542, 576; see People v. Johnson (2006) 139 Cal.App.4th 1135, 1147 [43 Cal.Rptr.3d 587] (Johnson); People v. Venegas (1998) 18 Cal.4th 47, 82 [74 Cal.Rptr.2d 262, 954 P.2d 525]; National Research Council, The Evaluation of Forensic DNA Evidence (1996) p. 127 (NRCII); National Research Council, DNA Technology in Forensic Science (1992) p. 44.)

The genetic traits examined to create a DNA profile are regions or loci of highly variable and repetitive DNA. The function of this type of DNA is unknown, but its polymorphic nature provides an opportunity to identify the differences between people. Because a person inherits a set of chromosomes (22 plus an X or Y) from each parent, every genetic locus has two versions (alleles). For statistical analysis, the frequency with which each possible allele at each locus exists in various populations has been estimated through studies of population databases. From these tabulated frequencies, the frequency of a perpetrator’s overall DNA profile can be estimated: the frequencies of the two alleles at every locus in a perpetrator’s profile are all assigned, then multiplied together to obtain the frequency of the entire multilocus profile in the relevant population. This method is known as the “product rule.” The resulting frequency (sometimes called the “rarity statistic”) can also be expressed as the probability that the profile of a person selected at random from the relevant population would match the perpetrator’s profile. (Pizarro II, supra, 110 Cal.App.4th at p. 567; People v. Nelson (2008) 43 Cal.4th 1242, 1259 [78 Cal.Rptr.3d 69, 185 P.3d 49] (Nelson).) When, as in this case, the perpetrator’s profile consists of 15 loci, the resulting statistics establish that the profile is astronomically rare and therefore that a suspect’s possession of it is “powerfully incriminating.” (Johnson, supra, 139 Cal.App.4th at p. 1147.)

The advent of offender databases, such as CODIS, and the ability to search these databases for a potential match to a crime scene DNA profile has led to the resolution of many unsolved cases where no suspect had yet been identified. These cold hit cases have also raised new statistical issues regarding which statistics are relevant and appropriate.

B. Relevance of Statistics in Cold Hit Cases

Defendant first contends the statistical evidence consisted only of random match probabilities, which Nelson, supra, 43 Cal.4th 1242 concluded are irrelevant. The People respond that random match probabilities are relevant in cold hit cases. In essence, the parties disagree on the meaning of Nelson.

At the trial in this case, the analyst presented the statistics as random match probabilities. She stated that “[t]he statistical chance that [she] would pick an unrelated individual at random that would have the same profile” “would be approximately one in two septillion [(2 followed by 24 zeros)] African-Americans, [one] in 270 sextillion [(270 followed by 21 zeros)] Caucasians, and [one] in 56 sextillion [(56 followed by 21 zeros)] Hispanics.” She reported them “in three different ethnic groups, the most popular ethnic groups in the United States to show that the number is rare across the board, [f] . . . [1] We are giving you the rarity of the profile found on the car, so to me it has no ethnic race. So we’re showing you an example of approximately how rare this is across the board.” She said, “The apparent blood on the taxi, what this number is related to means that this profile is extremely rare and it is the same as the reference sample from [defendant].”

In Nelson, supra, 43 Cal.4th 1242, a cold hit case cited by both parties, the prosecution presented similarly astronomical statistics, also calculated by the product rule. (Id. at pp. 1249, 1259.) After determining that use of the product rule in cold hit cases was not a new scientific technique requiring a Kelly hearing (Nelson, supra, at pp. 1260-1265), the court turned to the question of whether statistical evidence obtained by use of the product rule is relevant in a cold hit case. The court explained:

“ ‘Relevant evidence is evidence “having any tendency in reason to prove or disprove any disputed fact that is of consequence to the determination of the action.” (Evid. Code, § 210.) “ ‘The test of relevance is whether the evidence tends, “logically, naturally, and by reasonable inference” to establish material facts such as identity, intent, or motive.’ ” ’ (People v. Wilson, supra, 38 Cal.4th at p. 1245.)” Under this test, the product rule generates relevant evidence even in a cold hit case.

“It is certainly correct that, as one treatise that discussed this question put it, ‘the picture is more complicated when the defendant has been located through a database search . . . .’ ([4 Faigman et al., ]Modem Scientific Evidence[ (2006) Objections to DNA evidence—Presenting incriminating DNA results—Should match probabilities be excluded?—The effect of a database search,] § 32:11, p. 111.) [The court in U.S. v. Jenkins (D.C. 2005) 887 A.2d 1013 (Jenkins)] recognized this circumstance. It explained that in a non-cold-hit case, the number derived from the product rule ‘represents two concepts: (1) the frequency with which a particular DNA profile would be expected to appear in a population of unrelated people, in other words, how rare is this DNA profile (“rarity statistic”), and (2) the probability of finding a match by randomly selecting one profile from a population of unrelated people, the so-called “random match probability.” ’ (Jenkins, supra, 887 A.2d at p. 1018.)

“The [Jenkins] court explained that the government had conceded ‘that in a cold hit case, the product rule derived number no longer accurately represents the probability of finding a matching profile by chance. The fact that many profiles have been searched increases the probability of. finding a match.’ (Jenkins, supra, 887 A.2d at p. 1018, fn. omitted.) The footnote in the middle of this quotation elaborated; ‘In other words, the product rule number no longer accurately expresses the random match “probability.” That same product rule number, however, still accurately expresses the rarity of the DNA profile. Random match probability and rarity, while both identical numbers, represent two distinct and separate concepts. Only one of those concepts is affected by a database search: the random match probability.’ (Id. at p. 1018, fn. 7.) The court noted that ‘the “database match probability” [(the approach suggested in the NRCII)] more accurately represents the chance of finding a cold hit match’ and ‘can overcome the “ascertainment bias” of database searches. “Ascertainment bias” is a term used to describe the bias that exists when one searches for something rare in a set database.’ (Id. at pp. 1018-1019.)

“Although the product rule no longer represents the random match probability in a cold hit case, the Jenkins court ultimately agreed with the government’s argument ‘that regardless of the database search, the rarity statistic is still accurately calculated and appropriately considered in assessing the significance of a cold hit. . . . [W]hile a database search changes the probability of obtaining a match, it does not change how rare the existence of that specific profile is in society as a whole. . . . This rarity is . . . both consistent and relevant regardless of the fact that [the defendant’s] identification is the product of a database search.’ (Jenkins, supra, 887 A.2d at p. 1019.)

“In a non-cold-hit case, we said that ‘[i]t is relevant for the jury to know that most persons of at least major portions of the general population could not have left the evidence samples.’ (People v. Wilson, supra, 38 Cal.4th at p. 1245.) We agree with other courts that have considered the question (the Court of Appeal in this case; People v. Johnson, supra, 139 Cal.App.4th 1135; and Jenkins, supra, 887 A.2d 1013) that this remains true even when the suspect is first located through a database search. The database match probability ascertains the probability of a match from a given database. ‘But the database is not on trial. Only the defendant is.’ (Modem Scientific Evidence, supra, § 32:11, pp. 118-119.) Thus, the question of how probable it is that the defendant, not the database, is the source of the crime scene DNA remains relevant. (Id. at p. 119.) The rarity statistic addresses this question.” (Nelson, supra, 43 Cal.4th at pp. 1266-1267.)

Nelson's quotations from Jenkins and its use of the term “rarity statistic” do suggest that Nelson concluded the statistics generated by the product rule are relevant in cold hit cases only when stated as a profile frequency (which the government in Jenkins called the “rarity statistic”). But, on further consideration, we believe Nelson concluded more broadly that both the frequency and the random match probability are relevant in cold hit cases. We will explain.

Despite Nelson’s confusing use of the term “rarity statistic,” the court spoke in broad terms of the relevance and admissibility of statistics calculated by the product rule, which would include both frequencies and random match probabilities. For example, the court stated; “[T]he product rule generates relevant evidence even in a cold hit case.” (Nelson, supra, 43 Cal.4th at p. 1266, italics added.) And it stated: “The conclusion that statistics derived from the product rule are admissible in a cold hit case does not mean that they are the only statistics that are relevant and admissible.” (Id. at p. 1267, fn. 3, initial italics added.)

Furthermore, Nelson’s use of the terms “frequency” and “random match probability” demonstrates that the court was not drawing a distinction between the two. For example, in the introduction to the case, Nelson stated: “The prosecution presented evidence that the odds that a random person unrelated to defendant from the population group that produced odds most favorable to him could have fit the profile of some of the crime scene evidence are one in 930 sextillion (93 followed by 22 zeros).” (Nelson, supra, 43 Cal.4th at p. 1247, italics added.) Then, two pages later, in the fact portion of the opinion, the court stated: “At trial, over objection, the prosecution presented evidence that the DNA profile on the vaginal swab would occur at random among unrelated individuals in about one in 950 sextillion African-Americans, one in 130 septillion Caucasians, and one in 930 sextillion Hispanics.” (Id. at p. 1249, italics added.) The first statement is in the form of a random match -probability—the odds that a randomly chosen person in the population would have this profile—and the second is in the form of a frequency—how often the profile occurs in the population. Later, Nelson stated: “This record indicated that, in a cold hit case, four different methods for calculating the statistical significance of a match have been suggested. . . . One method is the random match probability calculated by use of the product rule. The issue before us is whether this approach is admissible in a cold hit case.” (Nelson, supra, at p. 1261, italics added.)

A secondary source confirms the holding in Nelson. In a legal treatise, Justice Chin—who wrote Nelson—stated: “The rarity of the DNA profile shared by the perpetrator and defendant, expressed by the random match probability statistic, is always relevant and admissible, even in cold hit cases where the defendant was originally identified in a database search: ‘ “[I]t is relevant for the jury to know that most persons of at least major portions of the general population could not have left the evidence samples.” [Citation.] We agree . . . that this remains true even when the suspect is first located [through] a database search.’ (People v. Nelson[, supra,] 43 Cal.4th [at p.] 1267.)” (Chin et al., Forensic DNA Evidence: Science and the Law (The Rutter Group 2012) Statistics for Autosomal STR Profiles, § 5:4, p. 5-9.)

We entirely agree with the conclusion that both the frequency and the random match probability are relevant in cold hit cases. They are, after all, two ways of representing the same thing, the same numbers couched in different concepts. We are puzzled, however, by Nelson’s statement that “[t]he fact that the match ultimately came about by means of a database search does not deprive the rarity statistic of all relevance.” (Nelson, supra, 43 Cal.4th at p. 1267.) (We now take Nelson’s use of “rarity statistic” to refer to both the frequency and the random match probability, rather than just the frequency.) Understandably, defendant argues that this statement means the database search deprives the statistic of most of its relevance. He says the statement renders the statistic “minimally relevant” and “mostly irrelevant” in cold hit cases, such that it provides little weight, even though it remains admissible.

We find Nelson’s choice of words curious because it seems to us that the statistics (both the frequency and the random match probability) lose none of their relevance when a match is found in a database. First, both refer to the perpetrator’s profile and therefore are unaffected by any particular defendant or suspect. The frequency assesses how few people possess the perpetrator’s profile, and the random match probability assesses how unlikely it is that a random person possesses the perpetrator’s profile. They have nothing to do with a particular defendant or suspect, or the manner in which he was found, and they can be calculated before any suspect is located. They are fixed and unchanging. When a suspect is located by whatever means, the frequency and probability of the perpetrator’s profile remain the same. They give the jury perspective on how few people are likely to have this profile and how incriminating it is that the defendant has it—regardless of how he was found.

Furthermore, both statistics refer to the rarity of the profile in the relevant population(s). In general, an offender database is not the relevant population. Thus, we think the chance of finding a match in a database generally does not matter. And we think Nelson agrees. (Nelson, supra, 43 Cal.4th at p. 1267 [“The database match probability ascertains the probability of a match from a given database. ‘But the database is not on trial. Only the defendant is.’ ”].) But defendant argues, as others do, that the random match probability is not relevant in cold hit cases because the match to the particular defendant, made by searching an offender database, is not random. In our opinion, this misses the point. The point is the rarity of, or the chance of finding, the perpetrator’s profile in the perpetrator’s population(s). The chance of finding a particular defendant in an artificially created “population” of criminals and arrestees is not germane. Assume that a particular defendant is identified after searching a database containing the DNA profiles of 1,000 musicians. Does the search itself or the population of musicians affect the rarity of the perpetrator’s profile in the relevant population (rarity statistic), or the probability of finding the perpetrator’s profile in the relevant population (random match probability)? Even though a particular defendant is found by searching a particular database, that database does not necessarily become the relevant population for gauging the rarity of the perpetrator’s profile in a meaningful way. Is it helpful to know that one musician in a population of 1,000 musicians matched the perpetrator’s profile, or that the chance a musician randomly chosen from a database of 1,000 musicians would match the perpetrator’s profile is one in 1,000? We think this information does not help us (or jurors) gauge the profile’s rarity in a meaningful way.

Similarly, when a particular defendant is found by searching an offender database, that database of criminals and arrestees does not necessarily become the relevant population for gauging the rarity of the profile in a meaningful way. The relevant population(s) are generally the major populations in the United States because they provide a jury with the most useful estimates, regardless of the fact that the particular defendant was found as a match by looking through a different population.

As we stated in Johnson, and as the FBI explains, a cold hit from a database search is an investigative lead identifying a suspect who might be the perpetrator. (Johnson, supra, 139 Cal.App.4th at pp. 1150-1151; <http://www.fbi.gov/about-us/lab/biometric-analysis/codis/codis-and-ndisfact-sheet> [as of Apr. 30, 2013].) We do not view it as identification of the perpetrator in the perpetrator’s population. We explained in Johnson:

“This brings us to our core point: the database search merely provides law enforcement with an investigative tool, not evidence of guilt. [Citation.] . . . [f] In our view, the means by which a particular person comes to be suspected of a crime—the reason law enforcement’s investigation focuses on him—is irrelevant to the issue to be decided at trial, i.e., that person’s guilt or innocence, except insofar as it provides independent evidence of guilt or innocence. For example, assume police are investigating a robbery. The victim identifies ‘Joey’ as the perpetrator. The means by which ‘Joey’ becomes the focus of the investigation—the eyewitness identification—is relevant because that identification is itself evidence of guilt. Suppose instead that a surveillance camera captures the robbery on tape. Police use facial recognition software to check the robber’s facial features against driver’s license photographs. When the computer indicates a match with ‘Joey,’ officers obtain his name and address from DMV records, then go to his house and interview him. In the course of the interview, ‘Joey’ confesses. Whether facial recognition software is discerning and accurate enough to select the perpetrator, or whether it declared a match involving many different people who resembled ‘Joey,’ or how many driver’s license photographs were searched by the software, is immaterial: what matters is the subsequent confirmatory investigation.

“Stated another way, the fact that the perpetrator’s features appear to match those of someone in the DMV database does not affect the strength of the evidence against ‘Joey’; it is simply a starting point for the investigation. Similarly, the fact that here, the genetic profile from the evidence sample (the perpetrator’s profile) matched the profile of someone in a database of criminal offenders, does not affect the strength of the evidence against appellant. The strength of the evidence against him (at least in terms of the DNA evidence) depends upon the confirmatory match between his profile and that of the perpetrator, and the calculation of the frequency of the perpetrator’s profile in the relevant population. That population is the population of possible perpetrators, not the population of convicted offenders whose DNA has been entered into CODIS. The fact appellant was first identified as a possible suspect based on a database search simply does not matter.” (Johnson, supra, 139 Cal.App.4th at pp. 1150-1151, fns. omitted.)

Defendant asserts that the prosecution in this case should have introduced an alternative statistic, such as the database match probability mentioned by Jenkins and Nelson. (See Nelson, supra, 43 Cal.4th at p. 1262.) We acknowledge that if the chance of finding a particular defendant in an artificially created “population” of criminals and arrestees is the point, then an appropriate statistic should be determined. The database match probability is a statistic that is modified by the size of the database searched. It “was suggested [by NRCII], . . . [U]nder this approach, ‘the expected frequency of the profile could be calculated through use of the product rule, and the result could then be multiplied by the number of profiles in the databank. The result would be the expected frequency of the profile in a sample the size of the databank and thus the random chance of finding a match in a sample of that size. The result may be significant when few loci are tested and the discriminatory power of the testing is limited, but the significance tends to disappear when many loci are tested.’ [Citation.] The Jenkins court called this method the ‘database match probability’ because it gives the probability of a match from the database. [Citation.]” (Ibid., fn. omitted.)

Defendant notes that in this case no evidence was presented on the size of the database searched. But the analyst did state that CODIS compared defendant’s profile to all the profiles entered in the state and nation. Thus, we might assume that in 2009, CODIS contained approximately nine million profiles. (See fn. 4, ante.) Using that number as the approximate size of the offender database, we would multiply the one-in-some-number fractions by nine million with the following results: one in two septillion (2 followed by 24 zeros) would become one in 220 quadrillion (220 followed by 15 zeros); one in 270 sextillion (270 followed by 21 zeros) would become one in 30 quadrillion (30 followed by 15 zeros); and one in 56 sextillion (56 followed by 21 zeros) would become one in 6.2 quadrillion (6.2 followed by 15 zeros). These numbers are certainly more favorable to defendant, making the profile more common, but they are still astronomical. The 15-loci profile in this case is so astronomically rare in the most common populations in the United States that even when the statistics are multiplied by nine million, the profile remains astronomically rare in the CODIS offender database. We do not believe the jurors would have found these numbers—quadrillions instead of sextillions and septillions—significantly less compelling. We conclude that use of the database match probability in this case would not likely have made a difference, and therefore any error in its omission, an error that we do not find, was harmless. (People v. Watson (1956) 46 Cal.2d 818, 834-835 [299 P.2d 243].)

In sum, the evidence in this case was of a 15-loci profile so rare, in terms of the total world population, that it constituted “powerfully incriminating evidence.” (Johnson, supra, 139 Cal.App.4th at p. 1147.) This is so even assuming the calculations, or manner in which they were described for or presented to the jury, were somehow inaccurate in terms of precisely what statistic they represented. (See McDaniel v. Brown (2010) 558 U.S. 120, 124, 132 [175 L.Ed.2d 582, 130 S.Ct. 665] [DNA evidence with random match probability of one in 3,000,000 remained “powerful[ly] inculpatory evidence” even though expert overstated probative value and testing after trial showed random match probability of one in 10,000]; People v. Robinson (2010) 47 Cal.4th 1104, 1142 [104 Cal.Rptr.3d 727, 224 P.3d 55] [while DNA profile match does not guarantee individual is guilty, studies have shown that the chance a positive match does not belong to same person may be less than one in 500 million].) The statistical evidence was relevant and substantial.

C.-E

II.-IV.

DISPOSITION

The judgment is affirmed. The trial court is ordered to correct the abstract of judgment to reflect a stayed 20-year section 12022.53, subdivision (c) enhancement on count 1 (rather than a stayed 25-year-to-life § “12022(c)” enhancement). The clerk of the superior court is directed to forward a copy of the amended abstract of judgment to the Department of Corrections and Rehabilitation.

Wiseman, Acting P. J., and Detjen, J., concurred.

On May 2, 2013, the opinion was modified to read as printed above. Appellant’s petition for review by the Supreme Court was denied August 28, 2013, S211271. 
      
       Deoxyribonucleic acid.
     
      
       All statutory references are to the Penal Code unless otherwise noted.
     
      
       The blood on the exterior of José’s left pocket was a mixture, the major portion of which was from the same unknown male. The minor portion contained only four minor alleles, which the analyst did not interpret. Those alleles could have come from a DNA source other than blood.
     
      
       “CODIS is the acronym for the ‘Combined DNA Index System’ and is the generic term used to describe the FBI’s program of support for criminal justice DNA databases as well as the software used to run these databases. The National DNA Index System or NDIS is considered one part of CODIS, the national level, containing the DNA profiles contributed by federal, state, and local participating forensic laboratories.” (<http://www.fbi.gov/aboutus/lab/biometric-analysis/codis/codis-and-ndis-fact-sheet> [as of Apr. 30, 2013].) “The DNA Identification Act of 1994 (42 U.S.C. §14132) authorized the establishment of [the NDIS], The DNA Act specifies the categories of data that may be maintained in NDIS (convicted offenders, arrestees, legal, detainees, forensic (casework), unidentified human remains, missing persons and relatives of missing persons) as well as requirements for participating laboratories relating to quality assurance, privacy and expungement.” (Ibid.) “CODIS was established by Congress to assist in providing investigative leads for law enforcement in cases where no suspect has yet been identified, therefore a CODIS hit provides new investigative information on these cases.” {Ibid.) “CODIS was designed to compare a target DNA record against the DNA records contained in the database. Once a match is identified by the CODIS software, the laboratories involved in the match exchange information to verify the match and establish coordination between their two agencies. The match of the forensic DNA record against the DNA record in the database may be used to establish probable cause to obtain an evidentiary DNA sample from the suspect. The law enforcement agency can use this documentation to obtain a court order authorizing the collection of a known biological reference sample from the offender. The casework laboratory can then perform a DNA analysis on the known biological sample so that this analysis can be presented as evidence in court.” (Ibid.) In 2008, CODIS contained over 6.7 million offender, arrestee, and forensic profiles; in 2010, it contained over 9.5 million. (<http://www.fbi.gov/about-us/lab/biometric-analysis/codis/codis_brochure> [as of Apr. 30, 2013].)
     
      
      
         Miranda v. Arizona (1966) 384 U.S. 436 [16 L.Ed.2d 694, 86 S.Ct. 1602],
     
      
       As we noted in Pizarro II, a match between the perpetrator’s and the defendant’s profiles “does not signify an absolute match between the entirety of the perpetrator’s DNA and the entirety of the defendant’s DNA, which would absolutely prove the perpetrator and the defendant are the same person. The match is actually between . . . several regions of an enormous amount of DNA, and therefore it does not absolutely prove identity. What it does prove is that the defendant could be the perpetrator.” (Pizarro II, supra, 110 Cal.App.4th at p. 576.)
     
      
       The FBI’s Web site states that in 2000, CODIS searches resulted in 731 cold hits, and in 2012, they resulted in 153,215 hits, (<http://www.fbi.gov/about-us/lab/biometricanalysis/codis/codis_brochure> [as of Apr. 30, 2013].)
     
      
      
        People v. Kelly (1976) 17 Cal.3d 24 [130 Cal.Rptr. 144, 549 P.2d 1240],
     
      
      
        Nelson gave an example to help explain this method: “Assume the product rule calculated random match odds of one in 1,000,000. If a single suspect were compared and a match found, the result would be surprising unless the suspect were the actual donor of the evidence. But if a database of 100,000 were searched, the odds—or database match probability—would be about one in 10 that a match would be found even if the actual donor were not in the database. Thus, a match would be less surprising. If the database had a million profiles, at least one match would be expected even if the actual donor was not in the database].” (Nelson, supra, 43 Cal.4th at p. 1262.)
     
      
       Statistics in cases like this one, especially where the profile includes 13 to 15 loci, are typically described as “astronomical” (e.g., Nelson, supra, 43 Cal.4th at p. 1259) because the denominators are incredibly large, but because the statistics are fractions, they are actually incredibly small. In other words, the frequency of the profile in the relevant population(s) is extremely rare, and the chance that a randomly chosen person in the relevant population(s) would match is extremely low.
     
      
      See footnote, ante, page 1259.
     