For March, be sure to check out these two features:
At Issue-An examination of stop and frisk,
particularly in the context of the NYPD, to explore the particulars of the
program, whether it is effective as a crime prevention program, and whether the
NYPD program infringed on the 4th and 14th amendments and
exhibited racial bias
Editorials and Opinions-My reaction piece to At Issue-Stop and Frisk Practices where I explore the necessity for stop and frisk, and how the practice of stop and frisk can be preserved and revised while minimizing racial discord
Recently, former democratic presidential candidate
Michael Bloomberg was criticized for his past comments supporting the stop and frisk policy in New York during
his tenure as mayor. On the face of his comments, he’s not wrong. Good police
management puts resources where they are needed most and if a law enforcement
or order maintenance perspective is being addressed, then the resources are put
in high crime areas. Communities and citizens want the police to be proactive,
not merely just responding to crimes that have already happened, but taking
action to reduce or stop crime before it happens. If we want the police to stop crime in high
crime areas, they should focus their investigative efforts on those most likely
to commit crimes or carry weapons. As Bloomberg noted, the high crime areas in
New York City are urban, disadvantaged neighborhoods with a high minority populations,
and those most likely to commit crimes are their male residents aged 15 to 30.
However, because of the perception that stop and frisk
practices unfairly target minorities, stop and frisk is currently being viewed
as biased at least, and racist at worst. The questions at issue become; is stop
and frisk a useful or effective law enforcement technique, is it at its core
biased, or is it a matter of how its applied, and as it has been applied in NYC
and other places, was the practice biased? In this literature review, I will be
examining early assessments of stop and frisk, more current perceptions of stop
and frisk, and the scientific literature that examines whether disparities in
stops are actually evidence of bias and whether stop and frisk had had any
effect on violent crime. As this review will focus to a great degree on NYC and
its practices, stop and frisk practices will be referenced as SQF in this
review, which in NYC and other localities, signifies Stop, Question, and Frisk.
Early Overview
In 1968 stop and frisk as a practice was formalized by
Terry v. Ohio when the Supreme Court ruled that police officers have the right
to stop an individual on the street if they have a reasonable suspicion that
the person is involved in a crime, that a crime has just occurred, or is about
to occur. The ruling also allowed officers to briefly search an individual (a
pat-down, or frisk) for the purpose of ensuring the individual didn’t have a
weapon, done to help ensure officer safety. Prior to this, stop and frisk had
been a common practice for police officers but this ruling established some
constitutional limits and guidelines on the practice. With a reasonable
suspicion (a lower standard than the probable cause used in 4th
amendment search and seizure cases) an officer can make a stop (a temporary
detention as opposed to a seizure) for investigative purposes and conduct a
frisk or pat down of the outer clothing (as opposed to a formalized search).
During the ’60’s there were concerns over the
possibility of infringement on civil rights when engaging in SQF. In fact while
Terry v. Ohio was decided in 1968, in 1964 Ronayne was examining the newly
enacted NY stop and frisk law noting in English common law the use of a
reasonable suspicion in searching from early 19th century policing, a concept
that carried over to American policing. The NY law pushed for by the police
department through the mayor’s office authorized the temporary detention of persons
if the officer reasonably suspects that a felony, or certain misdemeanors, is
occurring, had occurred, or was about to occur in order to ascertain information.
Once stopped, if the officer reasonably suspects he is in danger of life or
limb, may frisk that person for a dangerous weapon. Ronayne states that the
main issue from the first half of the 20th century was whether such
a stop actually is an arrest. One school of thought held that it is dependent
on the individual, that once the person feels they are not free to leave the
presence of the officer, an arrest has occurred. The other school of thought is
that it is dependent on the officer to decide when an arrest, the actual taking
into physical custody for a criminal offense, has occurred. In a variety of
states, court cases arguing whether arrests and searches were constitutional typically
came down on the side of law enforcement, as well as making the distinction
between probable cause and reasonable suspicion, and the difference between a
temporary detention and arrest, thereby establishing a right to investigate for
the police (Ronayne, 1964).
In 1965, Kuh also commented on politicians and defense
attorneys “pontificating” on the unconstitutionality of New York’s
1964 stop and frisk law. He claimed media sources had distorted the meaning by
ignoring the wording of the law, and defends the use of the words
“reasonable” as an already well defined term in the US legal system
and “suspects” (as opposed to “believes”) as it takes in
the experiences, observations, and judgements of police officers as a
determinate of what raises suspicion to warrant a stop and frisk. He also notes
the English common law usage of the term “reasonably suspects” as
well as similar language in the US Uniform Arrest Act as providing historical precedent.
NY’s law also states that while not an arrest, any person not identifying
themselves or explaining their actions to the satisfaction of the officer may
be detained and investigated for up to two hours, but Kuh also argues that
contrary to critics, it doesn’t violate the 5th amendment against self-incrimination
because the law doesn’t not command that the person do so. He argues as
well about the clear distinction between a search and pat down, which is done
to ensure officer safety, not to gather evidence.
However, in 1967, Schwartz contends that police
training that tells officers to consider everyone as being possibly armed, and
working in high crime neighborhoods, can too easily translate into an excuse to
frisk everyone officers encounter. Schwartz also states that some case law has
found that simply feeling a bulge that may be a weapon does not constitute the
probable cause necessary to conduct a warrantless search by reaching into the
pocket and removing the item. Schwartz notes that some cases appear more to
involve the police searching for a weapon they anticipate the person will be
carrying rather than out of fear of officer safety. Schwartz also argues that the
definition “reasonably suspects” may be questionable as the police by
nature are suspicious to a degree more so than an average, reasonable person.
Officers may unjustly be suspicious of a minority in a white area, or a manner
of dress or behavior may unjustly arouse their suspicions which will complicate
already difficult police minority relations. This leads Schwartz to question
the constitutionality of the law and whether it could be adequately policed and
free from bias, asserting any law enforcement benefit is not balanced by the
infringement of rights.
The Nineties Perspective
Some 30 years later, Schwartz’s and others’ early views
were predictive both of the constitutionality challenges stop and frisk laws
and practices must face as well as the impact it may have on minority
communities. 1n 1994, Harris concludes that the courts permissive attitudes
toward stop and frisk have widened the net as to what constitutes reasonable suspicion
and well as when a frisk may be conducted to the point that all persons may be
subject to a search. If the reasonable suspicion involved a crime that may be
associated with violence police have the right to automatically frisk and don’t
need an articulable reasonable suspicion of danger to the officer.
However, what crimes may be associated with violence
is subjective. Two offenses Harris claims have watered down Terry are drug
cases and burglaries. While drug traffickers may commonly be in possession of
weapons, this has translated to anyone who may be involved with drugs may also be
armed, thus requiring an automatic frisk over what may be simple drug
possession. Harris notes several state court cases where officers have
overstepped their bounds and conducted searches framed as frisks without
probable cause or sometimes even reasonable suspicion, as well as the US Supreme
Court case Mn v. Dickerson that allowed officers to seize contraband as
admissible evidence if its identity as such is readily apparent through touch
during a frisk. Harris also notes this net widening of frisks includes
burglary, as the tools of the trade could be used as weapons, as well as what’s
termed dangerous places and people such as in illegal gambling houses, high
crime areas, companions of individuals arrested, people present during a search
warrant, and people placed in squad cars. He concludes to much deference is
given to police testimonial in contentious cases and that data should be
gathered on the level of dangerousness in requiring frisks, as well as new and
clear guidelines that establish what is
allowable in these types of police interactions. Harris states too often race,
seen as a proxy for criminality and dangerousness by the police, and becomes a
component in reasonable suspicion. and Harris asserts that the existence of
dangerousness must be present, not just could be present, in
allowing a frisk.
Other jurisdictions faced the same challenges and
questions as Murrill (1993) indicates in his review of Louisiana’s stop and
frisk law and the 66 cases surrounding its use. Following Terry, four cases
have helped define the ruling in Terry with the Supreme Court finding that:
certain classes of typically non-violent crime (e.g. narcotics possession)
don’t warrant an automatic frisk; an informant’s tip regarding weapon
possession is sufficient to conduct a frisk; the physical observation of
something that could be a weapon is sufficient to frisk, that persons in a
location subject to a search warrant can’t be frisked, as well that specific circumstances,
which while not separately signaling danger, that when taken in their totality,
may present a reasonable risk of officer
safety. However, state courts may not
always follow these precedents in deciding stop and frisk cases. Louisiana law
is similar to New York’s, indicating an officer may stop and question if a
reasonable suspicion of criminal activity exists and may frisk, either if the
officer reasonably suspects he’s in danger or if the officer reasonably
suspects the person is carrying a weapon. Murrill notes certain types of cases
often appear under the application of Louisiana
stop and frisk; description cases where the person matches a description of
someone wanted by the police for a violent crime, including in cases where
information and descriptions are provided by informants; conduct cases where
the conduct of the individual either before the stop, such as in a the Terry cases
where the officer suspected a daytime robbery was about to occur, or during the
stop, for example if a person makes a sudden or furtive movement toward an
area, like a pocket or under a car-seat, which had the potential of containing
a weapon, indicates a reasonable suspicion of weapon possession; appearance
cases where the subject’s physical appearance leads to a suspicion they are
armed, such as a bulge in the clothing suggestive of a concealed weapon, or in
cases of intoxication as the justification is that intoxicated people may act
irrationally, increasing danger to the officer, or in cases of fitting a drug
courier profile. Other factors in these cases provided supplemental
justification for these stops and searches including the presence of a high
crime areas (which may disproportionately or adversely impact these high
minority areas) officer’s personal knowledge of the suspect, the time of day or
night, and the presence of more suspects than officers.
Murrill notes that 80% of the courts’
analyses examined the justification of the frisk separate from the justification
for the stop itself, though in his view many of the cases disproportionately
focus on the stop and pay a lesser attention to the justification of the frisk while
the rest primarily considered the two actions as one. Murrill suggests that the
court develop a more structured approach to stop and frisk analysis as each
intrudes on different constitutional protections. Structure definition, and
guidelines in differentiating and describing arrests versus Terry stops are
important in making the distinction between the two but as Saleem (1997) notes,
this may be increasingly difficult.
Saleem (1997) contends that the lower
courts expansion on the Terry decision has watered down the standards of the 4th
amendment because of the Supreme Courts reliance on an “artificial
reasonableness” standard. Saleem asserts that societal fear of crime
prompted the Supreme Court to dilute the probable cause standard of the 4th
amendment and adopt a reasonable suspicion standard. This standard is
insufficient, Saleem argues, as it presupposed a quintessential reasonableness
standard, it’s employed in a biased manner to protect police without
consideration of individual rights, and can be utilized to inappropriately
focus on minorities. Increasing the ability of officers to stop and frisk also
gives rise to more incidents of police use of force and longer periods of detention
to effect the stops and frisks, all without meeting the probable cause
standards of typical arrests and searches and introducing difficulty in making
the distinction between a formal arrest and a stop and frisk. Saleem also contends
that the public and police’s association of Blacks with crime make them a
target for stops and frisks of an unreasonable nature. Saleem believes that as
long as Blacks and other members of the public perceive the police to be biased
or racist, then a stop by police of Blacks will have difficulty being construed
as reasonable
Saleem also calls for more rules and guidelines that
bring stop and frisks more in line with the tenets of the 4th amendment
and for the Supreme Court to take a more active role in directing lower US
court decision as well as provide clear guidance and distinction between an
arrest and Terry stop, limit the use of force in Terry stops, and ensure that
reasonable suspicions are clearly articulable and not couched in racial identity.
The 1999 NY OAG Report on NYPD Stop and
Frisk Practices
1n 1999, the New York Attorney General’s office reviewed
the practice and data related to SQF (Spitzer, 1999). The NYPD kept records of
the stop and frisks conducted through form UF 250. A UF 250 needed to completed
for every SQF officers conducted and it contained demographic information about
the subject, details about the circumstances of the stop like place and time of
day, and checkboxes to complete that detailed the reasonable suspicion
justifications that the officer used to conduct a stop or frisk. This was in
response to the case of Diallo v NY where the NYPD as sued over the shooting death
of Diallo in a stop and frisk incident (Harris, 2013). The report analyzed
175,000 UF 250 SQF forms from 1998 through the beginning of 1999. Total stops
were broken down by race; 50.6% Black (Black pop. 25.6%), 33% Hispanic
(Hispanic pop. 23.7%) and 12.9% White (White pop. 43.4%). By precinct, where minorities
constitute the majority of the population, they tended to see more SQF than
white majority precincts, though a third of white majority precincts were in
the top half of precincts with the most stops. Even with the understanding that
high crime precincts tended to have large minority populations, this connection
couldn’t fully explain the racial disparity in stops and they also found that
the street crimes unit stopped blacks at a higher rate than the NYPD even after
accounting for different crime rates
However, in terms of producing productive stops, that
racial disparity is not evident in arrests, with the rate of arrests per stop
for Blacks ( 1 per 9.5), Hispanics (1 per 8.8), and Whites (1 per 7.9) being
similar. Stop rates compared to arrest rates also showed no racial disparity
with Blacks making up 50% of the stops and 51% of arrests, Hispanics making up
33% of the stops and 30% of arrests, and Whites making up 13% of stops and 16%
of arrests. However, while hit rates by race were also similar for Blacks
(10.6%), Hispanics (11.6%), and White (12.6%), the low overall hit rate indicates
the tactic is not particularly effective in effecting arrests or seizing
contraband.
When examining stops by crime types across all the
precincts and crime types Blacks were stopped 23% more than whites, while
Hispanics were stopped 39% more than Whites. For suspicion of violent crime
Blacks were stopped 2.1 time more than Whites and 2.0 times more than Whites on
suspicion of carrying a weapon; these two types of stops accounted for slightly
more than 53% of all stops. Blacks were also significantly less likely to
stopped than whites or Hispanics on suspicion of property crimes (Spitzer, 1999).
Following the ruling against the NYPD and the release of the Attorney General’s 1999 report, as crime declined, contrarily, the NYPD increased the use of SQF. In 2003, officers stopped and frisked 160,000 people but by 2009 the number increased to more than 575,00, and by 2011, more than 685,000 people (Harris, 2013) This was driven by a desire to get guns off the street and reduce violent crime by focusing on the right places and right people. This intensive deterrence program that focused on those most likely to be involved in violent crime (minorities) in the most likely places (high crime neighborhood hotspots) led to increased criticism that the program was in violation of the 4th and 14th amendments. For example, Gelman (2006) examined 175,000 stops over a 15 month period used in the 1999 OAG report and disaggregated stops by precinct and accounted for race specific crime rates in the precincts to see if race specific crime rates could explain the racial disparity in stops. Using hierarchical modeling, even after controlling for these variables, they found Blacks and Hispanics were stopped more frequently than whites and surmised that the standards for stopping minorities were more relaxed than for whites as indicated by lower arrest rates for minorities.
The Rand Corporation (Ridgeway, 2007), also examined
racial disparity in stops but examined it from a perspective of developing
better benchmarks to determine if racial disparity exists. They note that using
the general population to determine if a racial disparity exists is overly
simplistic and prone to error. They suggest comparing the number of stops to
either the racial distribution of criminal suspect descriptions or to race
distribution of arrestees. An additional benchmark to determine the extent of
racial disparities was to examine each individual officers stopping patterns in
relation to stops made in similar circumstances to other officers. Using these
benchmarks, racial disparity is not as evident. Utilizing criminal suspect
description, Blacks were stopped at 20 to 30% lower than their representation
in criminal descriptions would suggest, however Hispanics were stopped 5 to 10
% higher than their representation in criminal suspect descriptions.
Using the racial percentages of arrestees, Blacks were
stopped at nearly the same rate as Whites but Hispanics were stopped at a
slightly higher rate than would be suggested by racial arrest rate. These more
refined benchmarks would suggest much less racial disparity when compared to
the less accurate benchmark of total population which showed exaggerated racial
disparity with Blacks stopped at a rate 50% higher than their general
population.
The benchmark analyzing individual officers indicated
that some racial disparity may be explained by officer activity. They found
that just 7% (2,756) of the total number of officers accounted for 54% of the
total number of 2006 stops. In patrolling the same areas, at the same times,
and with the same assignments a very small percentage of officers (15 total)
stopped substantially more Blacks or Hispanics than other officers, while
another very small percentage of officers (13 total) stopped substantially less
Blacks and Hispanics (Ridgeway, 2007).
In examining rates of frisk, search, use of force, and
arrest while they found minorities experienced slightly more frisks and
searches than whites, the recovery rate of contraband was higher for Whites
than Blacks. In weapon recovery rates, there were no differences by race. Overall
Rand found only small racial disparities when appropriate benchmarks are used
and suggest that large restructuring of the NYPD’s SQF program may not be
necessary.
Floyd v. NY and Current Perceptions
In 2008, The Center for Constitutional Rights
initialed a class action suit against NYC and the NYPD alleging 4th
and 14th amendment violations by the NYPD in the way SQF was
performed. The court held that officers need reasonable , articulable suspicion
of criminality to make stops consistent with the 4th amendment and
that the plaintiffs were required to show that not only did SQF have a
disparate racial impact but that it was at least in part of adopted for its adverse
effects on certain racial groups (Huq, 2016). A 2013 ruling by US District
Court Judge Scheindlin in the class action suit of Floyd v New York found that
the NYPD had violated the 4th amendment as the stops lacked
sufficient legal justifications (despite the Supreme Court’s previous ruling
establishing that presence in a high crime area met the legal test of
reasonable suspicion) and violated the 14th amendment by engaging in
racial bias in its use of the SQF program (Meares, 2014). While the city stated
that any apparently disproportional stopping of Blacks and Hispanics could be explained
by racial differences in crime rates (Bellin, 2014), Meares also notes that a
racial disparity or disparate impact on one portion of the community is not sufficient
to show a violation but rather it must be shown that the state had
discriminatory purposes. Such a ruling would require that for the government to
have infringed on civil rights without violation, that it show a compelling
interest and that this action was narrow in focus (Starkey, 2012). While
stating that the effectiveness of SQF was not at issue, she did emphasize that
only 1.5% of frisks found a weapon, with an even smaller percentage finding a
gun (Bellin, 2014). However Bellin (2014) claims that by not permitting, let
alone considering, the program’s effectiveness, the judge hampered the City’s
ability to show it had a compelling interest (violent crime reduction) that was
narrowly tailored (targeted to hot spots within precincts).
The 2013 NY OAG report states that following the Floyd
decision, which was under appeal, neither the lower or appeals court addressed
the effectiveness of stop and frisk in fighting crime. The report sought to determine
effectiveness in the program by examining post-stop data from 2009 to 2012. The
report found that between 2009 and 2012, those 2.4 million stops resulted in a
6% arrest rate, with only half of those leading to a conviction, and half of
those (1.5% of total stops) led to a jail or prison sentence but just .15% of
total stops led to a prison sentence longer than a year. Only one in 50 SQF
arrests led to a conviction of a crime of violence and only 1 in 50 of these arrests
led to a conviction of weapon possession (NY & Schneiderman, 2013)
The Floyd decision was almost immediately appealed and following the Floyd decision, criticism of SQF, NYC, and the NYPD was widespread. The examination by the court renewed examination by law professors and other academics on both 4th and 14th amendment grounds as well as in the context of the original Terry ruling. Law scholars were quick to find fault with the 4th and 14th amendment constitutionality of the program, sometimes to the point of hyperbole with article titles like “Stop and Frisk is Hazardous to your Health” (Ross, 2016), “From Stop and Frisk to Shoot and Kill” (Carbado, 2017), and even characterizing stop and frisk as torture-lite and terrorism in minority communities (Butler, 2014). Cooper (2018) describes SQF as a societal program for crime control that engages political entities and communities with conservative criminology, which caters to the police (who deem minorities as dangerous and crime prone), allowing them to exercise their explicit and implicit bias against minorities. Cooper claims the call for law and order is actually a backlash against the civil rights movement, and political forces have weakened the safeguards of Terry, allowing officers to operate with impunity. Carbado (2017) believes that when officers are trained to use violence and the legal system considers it justifiable, officers will use it indiscriminately in their increased encounters with minorities. While Howell (2015) notes a decrease in SQFs in NYC since the Floyd ruling, he claims that the NYPD is using gang policing as a way to continue to engage in SQF and control minorities. He states that large gang activity has been on the decrease for years and dismisses the NYPD’s claim that smaller, more geographically centered “crews” are engaging in significant gang activity.
While many of these criticisms focused on the NYPD,
SQF was never exclusive to NYC, it has been in use throughout the US since the
inception of policing (Kuh, 1965) but its use in major cities has been
problematic; Chicago, Philadelphia, Cincinnati, New Orleans, Seattle,
Baltimore, Cleveland, Newark, Oakland, Los Angeles, Philadelphia, and Boston,
have either been forced to operate under a consent decree or by civil court
order to revise and monitor its use of SQF (Harris, 2013, Huq 2017). What was
different from these other urban centers was that the NYPD was documenting
information of the stops they made, which helped make the case for the
plaintiff in Floyd by demonstrating the documented racial disparities in SQFs.
4th Amendment Issues
At issue with the 4th amendment, Carbado (2017)
states, was that the Terry decision actually weakened the amendment. The new
standard of reasonable suspicion could too easily and arbitrarily applied to
the detriment of minorities as was originally mentioned in the Terry ruling.
The previous net-widening from what the original Terry ruling defined as a
reasonable suspicion of criminal activity and threats to officer safety, and
the sheer number of stops, likely has contributed stops and frisks that lacked
legal sufficiency. The 1999 NY OAG report analyzed the UF 250 forms and found
that while 61.1% met the legal requirement of reasonable suspicion, 15.4% did
not meet the legal test, and 23.5% didn’t state a sufficient factual basis to
determine if a reasonable suspicion existed. When Abrams (2014) looked at SQF
in Philadelphia (who conducted SQF at much higher rates than NYC) following
their entry into a consent decree in 2011, he found evidence that 40-50% of
stops consistently lacked sufficient legal grounds
At issue as well was that the original intent of the
Terry ruling as an investigative tool is different than the intent and practice
engaged in a programmatic deterrence approach like New York’s (Meares, 2014;
Skogan, 2017). Terry was intended to stop crime in progress which should then
have a positive effect on arrests and weapon seizures, but many observers note
that in NY “hit rates” for seizures and arrests per stop were quite
low (Starkey, 2012; Meares, 2014; Ross, 2016; Goel, et al 2016). For example
between 2004 and 2012 out of 4.4 million stops, and subsequent 2.3 million
frisks only 6% were arrested and officers only seized guns in .1% of stops
(Ross, 2016). However, the counter argument put forth by NYC and the NYPD is
that the low rates of seizure and arrests are indicators the program is doing
what it’s supposed to, deter people from breaking the law and carrying weapons
(Harris, 2013, Ross, 2016).
Bellin (2014) found that while deterrence is effective,
it’s unconstitutionality is what allows it to be effective, by incorporating
arbitrary stops and indirect racial profiling. If individuals carrying weapons
can simply avoid being subjected to a Terry stop by not appearing to engage in
suspicious behavior, they can carry a gun with impunity. However, if individuals
are subjected to high volume stop and frisk without justification, the
likelihood of being discovered with a weapon increases. If being searched is
inevitable, a powerful deterrence effect occurs (Bellin, 2014).
14th Amendment Issues
Critics of SQF see the high percentage of minorities stopped as evidence of racial bias, whether based either on percentage of total stops involving minorities or whether in the context of a rate comparing the general population’s racial makeup to the racial makeup of those most frequently stopped. This is often related as over 80 percent of stops were minorities while they only make up approximately half the city population (e.g. Starkey, 2012). However, for the argument of 14th amendment allowable infringement on civil rights, the state must show a compelling interest and a narrowly targeted action. However, a violation exists if it is shown the state intended its action to have a discriminatory effect. In dealing with a protected class like race, not employing SQF based on officers’ individual observations and judgment but rather on social characteristics of race, gender, age, and SES unfairly distributes the effect (Skogan, 2017) Even if crime prevention was the goal, the state would know its activity, which would likely be perceived negatively, was intended to focus on minorities, based on its own statistics. Indeed, NYPD testimony from Floyd made clear who should be a focus of SQF; “within the pool of people displaying reasonably suspicious behavior, those who fit the general race, gender, and age profile of the criminal suspects in the area should be particularly target for stops” additionally claiming “it’s not racism just statistics”. From the criminological perspective of racial threat theory, the fact that disadvantaged neighborhoods are primarily made up of minorities and that police resources are focused in these areas already suggests that the state has an implicit bias against minorities and the places they reside as needing to be managed because of their criminality (Kramer and Remster, 2016). Adding to the suggestion of the existence of racial bias is the harm disparate impacts may have.
Harm caused
Many observers as well note the harm that intrusive
and constitutionally questionable practices has on police legitimacy. Random
searches, seemingly without justification, that seem to be inordinately
targeting minorities, generates fear and mistrust of the police. Ross (2016)
claims the program is designed to cause the public to fear the police. Butler
(2014) contends that SQF is discriminatory and an abuse of power designed to
humiliate and control minorities. This in turn leads to emotional and
psychological harm, which might cause withdrawal from outside community activities,
and generate poor overall health, depression, stress, and PTSD (Butler 2014;
Ross, 2016). Some authors (e.g. Ross, 2014; Harris, 2013) noted that any crime
control benefits must be balanced against the harm they may cause. Huq (2017)
states that the problematic history of
police/minority relations must be taken into consideration when contemplating
the introduction of a program that may have a negative effect on minorities. This
lack of legitimacy also hampers the ability of the police to be effective,
generates non-compliance in subjects, and contributes to larger negative perceptions
of the police (Butler, 2014; Meares, 2014; Hanink, 2014; Ross, 2016; Skogan,
2017; ) How that perception is generated is somewhat dependent on the
individual, their environment, and their experiences (Meares, 2014). Bellin’s
(2014) data indicated that while youths did not like NYC’s SQF policy they did
admit they thought it was effective at keeping guns off the street. Evans and
Williams’ 2017 research examined public perceptions of SQF policy controlling
for race, experiences with the police, and education among other variables They
found, in general, Whites had more support for SQF than Blacks or Hispanics.
However, they found that those who had experienced SQF, or who knew a close
friend or family member who experienced SQF, were less supportive of SQF while
those who were more highly educated, who knew more about the program, or who
knew a police officer were more supportive. They also found that for Blacks, an
increase in knowledge led to less support, which the authors surmise as an
effect of the media’s focus on racial bias of the program (as opposed to crime
reduction) which operates in a similar matter to the negative perceptions
generated by vicarious accounts.
Remedies
Researchers proffered solutions to the
constitutionally challenged practice such as Plaintiff Burdened Deliberate
Indifference which takes the onus off plaintiffs in proving a defendant
intended to discriminate, and instead replaces it with the requirements that the defendant be notified
of an inequality in application, be provided with an alternative action that would
not exhibit bias, and subsequently the defendant failed to act upon it
(Starkey, 2012). Fradella and White (2017) contend that changes in officer
selection, improved training, clearer policies, a reinforcement of utilizing
procedural justice in encounters, enhanced supervision, and outside oversight
could allow the continued use of stop and frisk in an unbiased legally
defensible manner. Limiting officer discretion through revised standards and
clear policy, setting clear, specific, and definable law enforcement goals to
be accomplished through SQF, and changes in the reporting form, requiring
narrative spaces rather than check boxes are some of Fallon’s (2013)
suggestions in eliminating inappropriate uses, along with better middle
management engagement in officer conduct and refining the definition of
reasonably suspicious behavior.
Current Research
Effect on Crime
Opponents of SQF contend that the low number of
arrests and seizures of contraband (weapons and drugs) demonstrate that it is
an ineffective program. However, proponents claim that its true effect on crime
is one of deterrence, as evidenced by the low number of seizures, signifying
that the program is dissuading young people from carrying weapons. It bears
mentioning again that SQF as conducted in NYC between 1999 and 2013 were not
simply Terry stops where officers are investigating what appears to be a crime
in process or behavior related to criminal activity in a specified context. It
was a generalized stop and frisk program conducted for the purpose of reducing violent
crime, conducted in hotspots of violent crime throughout NYC, and focused on
individuals that statistically were more involved in violent crime; young,
black males. The Mayor’s office and the NYPD were clear in their desire to
reduce violent crime and focus on “the right people”. Indeed, NYPD
data shows suspects in shootings were 78% Black, 19% Hispanic, 2.4% White and
.5% Asian (Bellin, 2014).
Bellin (2014) makes the point about deterrence
effectiveness in his analysis of a number of benchmarks examined during a time
period of extensive SQF. Utilizing data from CDC and the NYC Department of
Health and Mental Hygiene surveys, Bellin suggests that SQF deterred high
schools students from carrying a gun, cutting it in approximately half from
1997 to 2011.Other data also indicates that teenagers carrying a gun in the
last 30 days was also cut in half between 1997 and 2011. The Health Department
emphasized that prevalence of gun carrying in NYC was the lowest among 26 other
cities studied with Black teenagers experiencing almost a threefold reduction
in gun carrying. Bellin also found between 2000 and 2011, the rate of firearm
homicides fell by a third, rate of firearm injury hospitalizations decreased by
20% as well as a 21% reduction in firearm assault injuries. Shootings fell
during this period as well with firearms deaths decreasing from 524 to 366, and
with a reduction in non-lethal shootings as well.
Bellin notes similar effects found in Kansas City and Philadelphia
citing the strongest argument for the effectiveness of these programs is the
lack of alternative explanations. While crime everywhere, including NYC, was on
the decline, no other major city experienced the precipitous drop in firearm
violence that NYC experienced during this period of SQF nor was the effect of
any other program or practice evidenced as causing such a sharp decline. Cassell
and Fowles (2018) also support the deterrence effect generated by intensive SQF
programs. They contend that the ACLU’s consent decree activity to suppress
Chicago’s SQF program in December 2015 led to an increase in homicides. Following
a sharp decrease in SQF, in 2016 the authors estimate approximately 236
additional victims were killed and 1,115 additional shootings occurred, with
these costs of violence distributed amongst the minority populations.
In exploring effectiveness of SQF, Weisburd, et al (2016)
recognized that SQF activities are concentrated in hotspots, so a microunit of
analysis was more appropriate than larger geographic areas for their analysis
of daily and weekly crime incidents. They indicted two causal chains were at
work, that crime incidents prompted SQF and that the application of SQF reduces
crime, and that trends of both distributions are strongly related over time.
Their results indicated that SQF in hotspots caused a significant decrease in
crime within small areas across short periods of time. They also found little
evidence of crime displacement but there was evidence of diffusion of the crime
control benefits. Weisburd, et al state this provides support for the
effectiveness of deterrence and they aren’t surprised by the results as
focusing police resources on hotspots has typically been an effective crime
reduction technique. While effective, they also concede that aggressive
policing tactics may be a threat to police legitimacy.
While having reasonable suspicion factors to initiate
a stop form the constitutionally protected 4th amendment basis for
the practice, analysis of reasonable suspicion justifications and their legal sufficiency,
or lack thereof, may indicate bias, as one possible explanation for racial
disparity. Swank’s (2018) interviews with officers probed their reasonable
suspicion justification, which fell within five categories; Suspect Behavior (suspected
drug activity, furtive body movements, taking flight, hiding, unspecified
nervous behavior, and being in possession of a firearm), Location of Suspect (presence
in high crime area, drug activity location), Time of Incident (nighttime
encounters), Policing Style (officers felt being proactive was part of
community policing, not just being reactive), and Knowledge of the Suspect (prior
knowledge of subject’s drug activity or weapon possession, knowledge from other
officers,-some responded, depending on knowing the officer, intel could be as
good as if they’ observed it themselves). However none of the officers admitted
to using any extralegal criteria, such as race. Avdija (2014) also examined reasonable
suspicion justifications and the frequency of their use. (See Chart 1)
Chart 1.Reasonable suspicion justifications in stop
and frisk
If SQF were to be conducted in line with the original
Terry ruling, that of a reasonable suspicion that a crime is, has , or is about
to take place, many of the reasons indicated above do not meet that criteria
but entail only generally suspicious behavior. Only six of the 14 justifications
actually address possible criminal behavior with others being highly subjective
such as fugitive movements, a suspicious bulge, or carrying a suspicious
object.
Racial Disparity or Bias
While many commenters (e.g. Starkey, 2012) point to
the fact that over 80% of SQF were
effected against Blacks even though they made up only slightly more than half
of NYC’s population as evidence of racial bias, this position is overly
simplistic (Ridgeway, 2007). For an appropriate analysis of whether the program
was racially biased the unit of analysis should focus on the activity by precinct
(as many of the researchers below do) as these more closely corresponded to the
hotspots that were the focus of intense SQF. The racial and ethnic population
makeup of these precincts is a more appropriate denominator to use in
calculating rates of stops, frisks, and arrests. Consideration also has to be
given to the populations of those hotspots, which tend to be overwhelmingly minority,
and that crime rates are high in these disadvantaged neighborhoods, in whether
bias exists in SQF. Abrams (2014) in discussing research on SQF noted that in
the Floyd case, Fagan (2004) used regression analysis to estimate the impact of
race on stop rates but Abrams stated this approach is “difficult to
implement and interpret” because these analyses are only as good as the
number and importance of variables that are controlled for. It falls upon
researchers to develop the most comprehensive models they can but there is
still the risk that important variables with explanatory power, such as
economic status of the area, or its crime rates might not be included. As with
the research discussed below, these models varied as to what variables are
controlled for. Within the unit of analysis, more appropriately a precinct,
beat, or neighborhood, and within the stop, variables like demographic makeup,
level of police presence, officer race, subject demeanor, behavior and
compliance, location of the stop, time of day of stop, and type of stop justifications utilized, all may
provide explanatory power as to why racial disparities are observed. For
example, in 2015 Coviello and Persico examined whether SQF is biased, at either
the individual officer level or at the Chief level, as defined by the police
resources allocated, however they found no evidence in that aspect. They
considered that racial bias by officers could be identified by examining the
success rates of stops. They also did not find support for officer bias in
arrest as arrest rates for stopped Blacks and Whites were essentially identical.
They noted that Blacks are stopped more frequently than Whites but the authors
conclude that this disparity could be explained by unaccounted variables and
not necessarily by officer bias.
The research does indicate that while race is not the
strongest factor in determining rates of police activity it does play into the
equation. Hanink’s 2014 study of NYPD’ SQF
sought to determine if the rate of SQF was dependent on a precinct’s
crime rate or if it was also influenced by other factors like race or poverty.
He found the strongest predictor was the precinct’s crime rate, but also that
an interaction between Black and percentage below the poverty was a
statistically significant predictor of the rate of stops. Evans, et al (2014)
notes that the highest stop and frisk rates by race occurred in geographic
areas with high numbers of those races, as well as that these areas correspond
to hotspots of criminal activity. Their regression analysis of NYC precincts showed
that Black and Hispanic race had a significant positive association with SQF
rates but they also found a significant negative relationship between owner
occupied hosing and rates of SQF. (This may be explainable in that with more
rental property in the area, public space is utilized more than private space,
leaving residents more observable to the police). However, their regression
models only explained a third of the variation in total stops and only about
half the variation in rates of Black SQF. They recognized some of the limitations
of their study including a lack of variables like suspect demeanor, precinct
crime rate, race of officer, and extent of police presence in the area.
In 2016 Goel, et al examined 3 million stops over five
years, focusing on suspected criminal weapon possession and calculated the ex-ante
probability of finding a weapon and found in over 40% of cases the likelihood
of finding a weapon was less than 1%. They also found Blacks and Hispanics were
disproportionately stopped and had lower hit rates (2.5% and 3.6%,
respectively) compared to White hit rates (11%) which, rather than racial bias,
they trace to a low threshold for stopping, regardless of race in high crime
areas and a lower threshold for stopping Blacks relative to similarly situated Whites.
They note stop and frisk is an extremely localized tactic that was concentrated
in high crime areas, which are predominantly populated by minorities so a lower tolerance for suspicious behavior in
high crime areas (and thus lower hit rates) could account for the racial
disparities. When accounting for this they note that most of the racial
disparity disappears. The authors also discussed how utilizing a probability
formula that includes a simple scoring threshold of the three most common
productive weapon indicators, officers can improve hit rates by conducting the
stops most likely to be productive. They demonstrated that hit rates can vary
widely by location; 1% in some public housing locations, up to 30% for transits
stops in some areas but within these regions, hit rates are much more similar
between blacks and whites than citywide averages. They state that while some
disparity may be driven by discrimination, variation in local stop thresholds
appear to be the main driving force behind racial disparity. However, from
their search probability calculus they estimate that only 6% of the stops
needed to have been made to recover the majority of weapons, while conducting
58% of the stops deemed most likely would have turned up 90% of the weapons.
This approach would not only save on police resources but mitigate police
relations problems.
Avdija (2014) analyzed whether there was racial bias
in utilizing a frisk by examining factors that were predicative of a frisk, He
found the strongest predictor was male gender, being 2.8 times more likely than
females, followed by proximity to crime scene, (2.0x), and evasive in
questioning (1.9x). Blacks and Hispanics were both 1.7 times more likely than Whites
to be frisked. Avdija suggests this is more gendered policing than race, as
males are typically targeted but also contends that neither variable has much explanatory
power in SQF in that targeted policing is based on place, offense, offender,
and time specific dependency. Avdija states the reason for disparity in SQF is
that because of ecological conditions minorities disproportionately commit more
crimes. It is not racial bias that causes officers to focus on minorities
rather it is the individual actions of criminals that generate the profiles
that are used in proactive policing practices like SQF, thus establishing the
legitimacy of racial disparities.
For comparison, Skogan (2017) examined SQF in Chicago with survey data and his research showed that in 2013, Chicago’s stopping rate was four times higher that NYC, and the racial break downs were similar, 72% Black, 17% Hispanic, and 9% White. Analysis showed in Chicago the main predictor of being stopped was being under age 35 followed by Black race and male gender. Other disparities were evident, 75% of Blacks and Hispanics were asked for ID (White 56%) Black and Hispanic searches ranged between 20-30% (Whites 6-9%). While 30-35% of Blacks and Hispanics stated they had some form of force used against them (compared to 14% of Whites), it was people 16-35, those less educated, and those with lower incomes that were most likely to have force used against them. Besides these disparities, Skogan also found large disparities in perceptions of legitimacy and trust for the police with only 44.5% of Blacks exhibiting any trust in Chicago PD compared to 68% of Hispanics and 80% of Whites, a significant finding even after controlling for their SQF experiences.
In 2018, Kramer and Remster also examined to see if
there was any disparity in use of force against minorities during SQF utilizing
four hypotheses. Operating under the racial threat theory, they presumed that
if disparities exist they can be explained by officer racial bias (however the
authors doesn’t include race of the officer as a control variable in the
analysis). They do, however, concede that a number of other variables not accounted
for in their research could influence the use of force including subject
demeanor, levels of racial noncompliance, and variations in race for violent
crime activity. They hypothesized that after controlling for their other variables, Blacks, compared to Whites, would experience
more police use of force, that any racial disparity in use of force will be
large in productive stops, that with any racial disparity, use of force will be
greater with younger people, and that post Floyd, racial disparities will be
reduced compared to pre-Floyd. Logistic regression showed that many other
variables to greater extent than Black race made the use of force more likely. While
Blacks were only 1.3 times more likely than Whites to have force used, other
variables including the Stop Outcomes of arrest made (3.2 times more likely),
weapon found (2.1), contraband found (1.5), as well as the variables of younger
people aged 10 to 34 (1.3-1.5), male gender (1.6), and Civilian Behavior of
verbal threat (1.7 times), violent crime suspect (2.4), and non-compliant (2.6)
carried a higher risk of experiencing any kind of use of force (Kramer and
Remster, 2018).
Examining just one of the force categories, gun drawn,
the odds of experiencing this form of force for Blacks did not change compared
total force. However, factor like Stop Outcomes, and Civilian Behavior
demonstrated an increased likelihood of being
a factor in gun drawn force compared to total force. In dividing between
productive and unproductive stops, Blacks, while still experiencing slightly
greater risk of increased force than Whites (1.3 times) in non-productive
stops, their risk of experiencing force actually decreased during productive
stops. However, their odds went from 1.2 to 1.6 for a gun drawn during a
productive stop. Again, Civilian Behavior increased the risk of having all
manner of force applied as well as having a gun drawn in both nonproductive and
productive stops and to a far greater degree than the Black race variable. Male
and age continued to be significant factors to a greater degree than Black in
productive cases where a gun is drawn. The authors also didn’t support for
their fourth hypothesis; there was no significant difference in Blacks
experiencing any kind of force between pre and post reform and despite officers
increasing the use of guns drawn post reform, there was no significant difference
between Blacks and Whites with this potential lethal force (2018).
Kramer and Remster’s research indicated that civilian
behavior does seem to factor into use of force. In 2018, Rahman examined UF 250
forms from 2005-2012 to determine whether a subject’s non-compliance, within the context of race,
would generate use of force in a SQF. Their analysis found that Blacks and
Hispanics were overrepresented in the use force relative to their
representation in the total distribution of stops, both in compliant or
non-compliant encounters (though the researchers did not account for crime rate
in area of the stop or type of crime that was being investigated by the stop).
They also found that the precincts with the greatest number of stops using
force were also mainly populated by minorities. The author’s data did show that
a greater percentage of stops involved non-compliance with Blacks (70%)
compared to Hispanics (68%) and Whites (63%) however they did not analyze these
numbers to see if there was a statistically significant difference. The data
also demonstrated that the difference between the rates of force used in
noncompliant stops by race were small. Force was used in noncompliant stops
27.3% of the time with Blacks, compared to 21.3% of the time with Whites. Overall,
their regression models found that between 30 and 38% of the variance in the
decision to use force was driven by precinct characteristics. However as noted
in the introduction, inclusion of more variables may further explain these disparities. For
example, the authors used seven measures of noncompliance that included
changing direction at the sight of a police officer, evasive response to
questioning, visibly engaging in criminal activity, making furtive movements,
refusing to comply with the officer’s directives, verbal threats by the suspect,
and criminal possession of a weapon. However some of these non-compliant behaviors
will undoubtedly be more likely to generate the use of force than others, so it
would be informative in analyzing racial disparities in use of force to
determine if there were differences in the kinds of noncompliant behavior
between races.
Conclusions
In what started as a long overdue formalization of a
common policing practice, the investigative tool of stop and frisk, established
as an expansion of the 4th amendment, transformed into a general deterrence
program in NYC and other cities. Widening the definition of what conditions generate
a reasonable suspicion allowed officers justification to increase the number of
stops. However, as the number of stops increased so did criticism of the
program, asserting that it violated both the 4th and 14th
amendments, Critics argues that SQF as applied by the NYPD, besides being
ineffective at stopping crime, as measured by the low hit rates ins stops, and
low numbers of arrests, too often lacked the legal justification of an
articulable reasonable suspicion of criminal activity afoot. Critics also
contend the practice violated the 14th amendment because racial
disparities were found in some analyses. Proponents argue that the required 4th
amendment justifications for stopping and frisking have been established by
legal precedent and that the low rates of seizures and arrests actually
indicates that the intensive policing has caused a deterrence effect, which
they claim was responsible for the dropping violent crime rate. Proponents also
argue that racial disparities are not an indication of bias, a necessary
component in violations of the 14th amendment. They instead contend
that the racial makeup of stops and frisks reflects the inhabitants of the high
crime areas where SQF is typically applied as well as the higher crime rates
among minorities and the prevalence of minorities in suspect descriptions. A
2013 US District Court decision, however, found the city violated the
amendments and as many researchers and observers noted, the program and the
subsequent court decision has damaged police legitimacy.
Research into whether the program was effective
depends on your perspective. In terms of seizures, arrests, and convictions,
research consistently showed low rates suggesting ineffectiveness but research
also demonstrated that deterrence was an effective means at reducing gun
carrying and gun violence. However, what makes the deterrence program
effective, the random but omnipresent nature of being stopped and searched,
sometimes without clear legal justification for what sometimes could be
innocuous behavior, is what the 4th amendment was designed to
protect the people from. The issue of 14th amendment violation
rested on evidence of bias, which could be assumed if, after for controlling
for alternative explanations, disparities still exist. The research
demonstrated that proper benchmarks need to be used to first determine
disparity before considering bias. Because SQF was a targeted program, analysis
consistently showed it was heavily applied in hotspots of crime. The residents
of these hotspots were overwhelmingly minorities. Thus, just by the nature of
the precinct demographics, the racial rates of SQF, while overwhelmingly
focused on minorities, closely mirrored the populations of the area. Other
disparities beyond that can be at least partially accounted for by lower
thresholds for stopping in high crime neighborhoods, racial crime rates, and
subject demeanor. However as evidenced in this review, the importance of the
comprehensive but correct inclusion of variables can vary from study to study
and that as analyses in this area becomes more refined, racial disparities tend
to diminish, presenting the conclusion there is little if any racial bias
present in remaining disparities.
Practical remedies for improving and refining the
practice are broad ranging from improved office training, documentation form revision,
policy and guideline development and implementation, increased middle management
interaction with officers, outside review, analysis, and oversight, and the
incorporation of procedural justice elements. The changes would be expected to
meet the legal standards of the 4th amendment and Terry ruling,
prevent mistreatment during SQF, improve hit rates, mitigate disparate impacts
on the minority communities, and improve police relations with the public
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This month at CJ access were looking at issues of
race, police shooting, and police performance so be sure to check out:
Research Briefs-exploring the connection between race,
minority dense neighborhoods, and fatal shootings by the police; using better
benchmarks to generate more accurate data on racial disparities in fatal
officer involved shootings; constructing and utilizing a typology of police
shooting errors; and using detailed police officer performance metrics to
analyze their performance in police-citizen encounters
For Discussion-Racial profiling is on its face viewed
as discriminatory, but does the use of race or ethnicity to focus an
investigation or inquiry ever have a place? What are officers’ views? From an
investigative standpoint, it may be something to be used with discretion as I
explore with an excerpt from my dissertation
Original Research-An academic research article from
2013 where I utilized NCVS data from 12 cities to examine the differences between
races on their satisfaction with the police and whether utilizing components of
Community Oriented Policing affected that level of satisfaction
Also this month, a new and improved PDF reader is
installed on the site, allowing convenient full screen reading and the ability
to download PDFs found in Original Research
Race, Place, and Police-Caused Homicide in
U.S. Municipalities
Holmes, Painter II & Smith, Justice
Quarterly, 2019
The authors consider that approaches to studying police caused homicides (PCH) have focused typically on two theories, the Minority Threat hypothesis, which borrows from Conflict Theory which suggests that the amount of crime control is directly proportional to the size of the population that threatens the powerful’s interests. Framed as Minority Threat, the theory suggests the level of police caused homicide is in direct relation to the relative size of the Black population. Large populations of Black people are associated with serious criminality and urban violence and are seen as a threat. When increased crime control on the population is enacted, it will thus result in an increase in PCH. In contrast to this linear relationship model, a Power Threat hypothesis suggests a curve, where increases in crime control continues until the minority population reaches enough positions of power, to where their influence decreases the level of crime control on minority populations. The alternative theoretical perspective is the Community Violence hypothesis, which postulates that violent offending will result in more police caused homicides of suspects. Disadvantaged urban black populations have relatively high rates of violence so that Black over-representation in police caused homicides is actually a reflection of the very real threats that officers face in dealing with these greater levels of violence in these communities. Officers use deadly force when it is necessary in the face of danger and the level of violence in these communities increases the likelihood officers will be put in those situations.
The authors suggest another theoretical approach. The Place
hypothesis maintains that the residential segregation of minority populations
into areas of concentrated socioeconomic disadvantage increases the likelihood
of police officers employing violence against minority citizens. Police
patrolling in these disadvantaged places may see minority citizens as
particularly threatening, though this is a more subjective threat based on
place, rather than the objective threat involved in the Community Violence
hypothesis. In this theory the level of threat by minorities is based on the segregation of the population into what
are viewed as dangerous areas, and because minorities are associated with
violent crime, they may be automatically viewed as a threat by being segregated
in these places. However, research testing Place hypotheses about PCH has produced
mixed findings but the authors suggest there may be a non-linear relationship between
racial segregation into the disadvantaged areas and PCH.
The authors also considered that the relationship between
Hispanics and PCH may need additional exploration. While percentage Hispanic
has not typically been found to be a factor in incidence of PCH, the authors
consider that group specific models (minority compared to White) may reveal
disparities not evident in total incidence analysis, as well as examining the
segregation aspect between White and Hispanic populations.
It should be clarified that when the authors are using
structural theories like Minority Threat and Place, it is to examine whether
these community structures are related to PCH but these theories operate under
the unproven assumption that if there is a relationship between community
structure and PCH, then that relationship exists because of biases held by police officers against
minorities. These theories, in attempting to make that connection, do not actually
examine if the biases exist, nor do they take into account situational factors
like suspect demeanor and behavior, the race of officers in these encounters,
and attitudes in the community toward police which may either drive that
statistical relationship or even negate the relationship between structural
conditions and PCH.
Using data from 230 cities with over 100K population who
filed Supplemental Homicide Reports with the UCR between 2008 and 2013, their
outcome variable was the incidence of felon killed by police officer for the
study time period (Range 0-96, Avg. 5.71, S.D. 12.92). The authors noted the
small sample size but recognized that other databases include small cities and
may have incomplete data, limited methodological
documentation, and a lack of verification procedures. Other variables included
city population, population density and geographical region as control
variables as well as percent Black and Hispanic to represent the Minority Threat
hypothesis, and average violent crime rate, arrest rate per 1,000, and total
number of police officers killed in the line of duty during the study period to
represent the Community Violence hypothesis. To test Place hypothesis they used
two variables, Black and Hispanic dissimilarity taken from the 2010 Discover
America in a New Century website, which indicates the degree of separation from
Whites across all neighborhoods of a city.
Using negative binomial regression because the data
was a count variable, they examined total incidences, finding a larger city
population was significantly related to a greater number of PCH, while the Northeast
and Midwest regions were negatively associated with PCH. In total incidence,
the authors did not find support for the Minority Threat hypothesis; Black percentage
was significantly negatively associated with PCH (but ceased to be
significant in the group specific analysis) and there was no significant
association between Hispanic percentage and PCH. Finding partial support, analysis
of Place showed a large significant effect in Black separation but a negligible
effect with Hispanic separation. In examining the Power Threat hypothesis there
was a curve-linear relationship with the most segregated cites having more
incidence of PCH than less segregated cities. In support of the Community
Violence hypothesis, the violent crime rate had a large statistically positive
relationship with PCH (while both the overall index crime rate and property
crime rate were not) as did higher arrest rates. Police officers killed in the line
of duty also had a small but significant positive relationship with PCH as
well. In addition the researchers also examined but failed to find a
relationship between the ratio of Black and Hispanic officers to Black and Hispanic
citizen population with PCH, however female officers were significantly
positively associated with PCH.
In group specific analysis of Black PCH there were four
predictors—black–white segregation, violent crime rate, police officers killed,
and percent female officers—with statistically significant, positive
relationships to PCH of Blacks. They also saw a similar non-linear effect with
Black-White separation with more PCH incidence in areas of greater separation.
For Hispanics, the percentage Hispanic, Hispanic-White separation, as well as
the Southwest region all had statistically significant positive effects on PCH.
However for Hispanics, and in accordance with the Power Threat theory there was
a positive relationship with Hispanic population and incidence of PCH until
Hispanics reach about 60 % of the population and the relationship reverses with
PCH decreasing as Hispanic population increases and they found no non-linear
relationship between Hispanic separation and PCH.
The discuss how they found support for both Community
Violence and Place hypotheses and some support for all three hypothesis in
group specific analyses, noting their study highlighted the importance of using
both structural and event based data and variable and group specific analyses.
They also note future research could examine officer race in relation to PCH as
well as more detailed city and neighborhood analysis of PCH.
Holmes, M. D., Painter, M. A., & Smith, B. W.
(2019). Race, place, and police-caused homicide in US municipalities. Justice
Quarterly, 36(5), 751-786.
Holmes Painter, II and Smith used variables like
population, and arrest rate, to examine the disparity in minority PCH but
Tregle, Nix and Alpert remind us that disparity doesn’t equal bias and caution
against using imperfect variables like these in examining officer involved shootings
(OIS)
Disparity Does Not Mean Bias: Making Sense
of Observed Racial Disparities in Fatal Officer-Involved Shootings with
Multiple Benchmarks
Tregle, Nix & Alpert, Journal of Crime
and Justice, 2019
Following well publicized officer involved shootings
incidents starting in2014, Officer Involved Shootings (OIS) started
being viewed as not isolated incidents but as a national problem involving bias
on the part of the police in their interactions with minorities. However,
recent agency level studies show that Blacks are not more likely to be shot by
the police than Whites. Unfortunately, the government has failed as to adequately
compile data related to OIS to examine this issue on a larger scale. However,
in 2015, the Washington Post started compiling data related to fatal OIS,
indicating that officers shoot and kill just under 1,000 people a year and 25%
are black and 48% are white. While UCR data showed that Blacks made up
approximately 37% of violent crime arrests, the Washington Post data revealed
that in 2015 more than 80% of fatal OIS invoked a suspect with a weapon (with
the UCR showing Blacks accounting for 40-44% of weapon possession arrests).
However, the authors note this data cannot show
whether Blacks are more likely to be shot by the police than Whites. Simply
because Blacks are over-represented in fatal shootings, relative to their
population in general, does not mean there is bias toward Blacks by the police.
The authors explain that using population as a measure in this way is flawed. Because,
as in medical disease models, the entirety of the population do not all face
the same risk of disease, nor do all members of a population face the same risk
of coming into contact with the police. For example examining racial disparity
in traffic stops based on racial population is inappropriate without
determining what portion of the population is actually driving and thus at risk
of being stopped. Another issue to contend with is that within that driving
population, which groups, because of their driving behavior or vehicle
condition (young people, low income citizens), might be more likely to be
pulled over.
The authors examine seven variables including,
population data, police-citizen interaction data (from the Bureau of Justice Statistics’
Police Public Contact Survey (PPCS), a supplement to the National Crime
Victimization Survey carried out triennial) and UCR arrest data from 2015-2017
to report the odds of Black citizens being shot, relative to White citizens.
They note that many studies examining OIS showed Blacks were less likely to be shot
or killed by the police compared to Whites, however some studies demonstrated
opposite findings, but comparing these studies are difficult because of the use
of different benchmarks. To examine whether there were any disparities between
race in OIS, the authors utilized seven benchmarks to examine the
issue-population, police citizen interactions (police-initiated contacts,
traffic stops, and street stops), arrests (total arrests, violent crime
arrests, and weapon offense arrests).
Analyzing the odds ratios of Blacks and Whites shot
against the benchmarks, the authors first note that fatal OIS are a rare occurrence.
For example, although police fatally shot 259 Black citizens in 2015, they did
not use lethal force in 140,543 arrests of Black citizens for violent crimes.
Similarly, while police fatally shot 497 White citizens in 2015, they did not
fatally shoot suspects during 63,967 arrests of White citizens for weapons
offenses. The also note that population is a flawed benchmark, that while it
indicates that Blacks are over 3.5 times more likely to be shot by the police
than Whites, the problem is that the majority of either population are not
exposed to the risk of being fatally shot
by the police. Other benchmarks provide mixed and varying results. For
clarification, note that odds ratios over 1 indicate Blacks were more likely
than Whites to be shot while odds ratios less than one indicate Blacks are less
likely than Whites to be shot and the horizontal line represents the confidence
interval (the high likelihood that the data point lies within that range). (See
Table 1)
Table 1. Black Citizen Odds Ratios of Fatal Officer
Involved Shootings Benchmarks
The authors note that the popular perception that blacks are disproportionately shot by the police is based on the flawed benchmark of population, which doesn’t consider the races’ different exposure rates to the police. They suggest that arrest rates are a more appropriate measure since it represents the subset of the population that had interactions with the police that could turn deadly, working under these assumptions: (1) OIS occur in response to perceived imminently dangerous citizen behaviors, (2) Criminal behavior is a reasonable proxy for imminently dangerous behavior, and (3) Arrests are a reasonable proxy for criminal behavior. Based on total arrests, Blacks are 1.23 to 1.37 more likely to be fatally shot that Whites in that three-year period but when examining arrests that pose a greater threat to officers like those of weapons offenses or violent crimes, Blacks were slightly less likely to be fatally shot than Whites. However the authors also note that UCR data is not a complete accounting of all police departments, with small departments being underrepresented, and that arrests are only a subset of police-citizens interactions that could escalate into lethal force incidents like traffic stops, domestics, and mentally ill and suspicious person calls. The authors state that a better benchmark might be police-citizen interactions, however the National Crime Victimization survey also has its limitations regarding who is sampled and that in regards to the risk of being shot, there are a vast number of police-citizen encounters that do not require a level of force, let alone lethal force.
An even better benchmark would be scenarios where officers
drew their weapons but did not shoot, comparing shoot-no shoot would exclude
interaction where it is improbable that citizens would be shot. However, this
benchmark may be more appropriate at a city or agency level, as reporting
standards for drawing a firearm vary widely and it may be difficult to compile
national data. The authors also note that in examining OIS that the Washington
Post database does not include non-fatal OIS. Data from larger cities show that
non-fatal OIS range from 20-45%, and fatality may be dependent on other factors
like immediacy of medical care. They also note that individual circumstances
are not accounted for including suspects’ level of resistance and threatening
behavior which will prompt the use of force, and level of force, which may
explain some of the racial disparity. In addition, another noteworthy
limitation of the study is the inability to benchmark fatal shootings of
citizens who posed no imminent threat (i.e., unarmed and not aggressing).
In this case, the research question would be: In order
to answer the question of whether Black citizens who pose no imminent threat
are more likely to be fatally shot by police than White citizens who pose no
imminent threat, given each group’s exposure to police contact, benchmarks would
be needed that indicated how often officers interact with unarmed and
non-aggressing citizens of each racial group. The authors conclude that the
federal government should be compiling data on all OIS to better understand and
analyze the conditions under which they occur and that while databases like the
Washington Post’s can provide valuable information, the benchmarks used to
analyze OIS have assumptions and limitations that must be acknowledged.
Tregle, B., Nix, J., & Alpert, G. P. (2019).
Disparity does not mean bias: Making sense of observed racial disparities in
fatal officer-involved shootings with multiple benchmarks. Journal of crime
and justice, 42(1), 18-31.
While it is apparent that in order to examine any
racial disparities in officer involved shooting that appropriate benchmarks be
used, we also know that not all OIS are appropriate and that the police do make
errors in the application of force. Taylor examined OIS and constructed a
typology of police shooting errors, with suggestions on how those errors may
addressed.
Beyond False Positives: A Typology of
Police Shooting Errors
Taylor, Criminology and Public Policy,
2019
Taylor quotes David Kahneman saying that “There
are distinctive patterns in the errors people make. Systemic errors are known
as biases, and they recur predictably in particular circumstances. …The
availability of diagnostic labels for [these] biases make [them] easier to
anticipate, recognize, and understand”. Taylor explains that behavior tends
to be systematically connected to the features of peoples’ tools, tasks,
previous experiences, training, and environments and that the research findings
on human error have consistently demonstrated that situations, behaviors, and
decision processes that result in error tend to result in repeated errors
across time and people. The examination of errors can be applied to criminal
justice research, and more specifically, to police use of deadly force, and a
typology of police shooting errors can be constructed.
Error should be defined as, absent any chance outside influence, when a sequence of thoughts or behaviors do not lead to their intended outcome. An officer shooting an unarmed man intentionally is not an error. It may be a violation, but it is not an error because the intent met the outcome. Systemic errors occur when people rely on pattern recognition, developed from repeated exposure to similar patterns and experiences, and automaticity, which is the development of implicit shortcuts in our cognition which speed up our decision making process with a high degree of reliability but can also lead to errors.
In the context of police shooting, errors are
typically viewed as either a False Positive error, where a person is presumed
to be dangerous by the officer, but is in fact not dangerous, and shot by the
officer, or a False Negative, where a police officer or citizen is killed when
an officer fails to shoot a dangerous individual. However the authors believe
this simple typology can be expanded to cover a wider variety of scenarios,
which include misses of the intended target and hits on unintended targets such
as citizens and other officers
Table 1. A New Typology of Police Shooting Errors
TARGET HIT
FIREARM DISCHARGED
Intended
Unintended
Intended
Misdiagnosis Errors
Misses
Unintended
Misapplication Errors
Unintentional Discharge
The authors explain misdiagnosis errors, similar to false-positive
errors, as when the officer intended to shoot his firearm, and hit the intended
target, but the outcome was unintended, i.e., a non-dangerous person was shot.
In these situations, a non-dangerous person was shot in error, sometimes
referred to as cell-phone shootings, mistake-of-fact shootings, and
perception-only shootings. They note statistics from Los Angeles and
Philadelphia that between 2013 and 2017, 14% and 10% respectively, of police
shootings involved this type of error. They suggest that while more research is
needed, that these errors may stem from pattern recognition. The classic and
current police literature notes that through experience officers are attuned to
cues of danger and impropriety and these cues prompt the reliance on pattern
recognition, where these frequently experienced cues prompt the recognition of,
and priming for, a dangerous situation. This leads to decision making shortcuts
that prompt officers to go on alert, draw their gun and fire. However these
shortcuts can lead to errors when the officer has been primed for a dangerous
scenario (such as a dispatch call about a man with a gun), attends to the wrong
information , or ignores or misinterprets the right information.
Misapplication errors involved the unintended firing of the firearm but a hit on the intended target. These are referred to in the literature as weapon confusion or Taser confusion shootings , where the officer intended to Taser a person but instead accidentally drew his firearm and shot. This type of error is well documented in the medical and aviation fields, where switching over to a new tool (like a Taser) or procedure has been introduced and a preoccupation or distraction is present, thus causing the misapplication and the unintended outcome. In these cases, training just to sufficiency may be insufficient as newer learned skills tended to be the first to disappear under pressure and replaced by those practiced for a longer period of time. The authors note the typical difference in training time with firearms compared to Tasers, and while it requires more research, this may be a factor in this error.
Misses are an error where the officer intends to fire
his firearm but doesn’t hit the intended target, either completely missing or
hitting an unintended target. Much of the research on police shooting accuracy
indicates a low hit rate, typically less than 50 %, and despite changes in
training methods, hasn’t improved over the past 50 years. Between 2013 and 2017,
Philadelphia officer hit rates averaged 18% while in that same time period LA
officer hit rates averaged 27%, varying
between 18% to 42%. This means that the error is a much more common outcome
than the correct one and the authors note there is not a comparative type error
in other fields and suggest much more research be conducted to determining and
addressing the causes of this type of error.
Unintended discharges are errors which occur when an officer
did not intend to fire his weapon, had no intention of hitting a target, but
the round in fact struck a target. They are typically referred to as accidental
or negligent discharges. Between 2013 and 2017, 17 % of reported LA shooting
incidents involved this type of error while between 2006 and 2016, the NYPD
reported 19% of their shooting incidents were unintended discharges. Research
indicates that unconscious touching of the trigger may be common and when
combined with some exertion activity, a co-muscle activation response exerted
enough pressure to discharge the weapon. A high number of accidental discharges
occurred during routine weapons activity,(storing, cleaning, loading,
unloading). Automaticity, where officers have done a task so many times it
becomes automatic, allows them to change attentional focus and with a loss of
focus on the other task, an error in unintended discharge can occur.
The authors conclude that simply trying to lump all
police error shootings into a large sample and look for causal correlation is
misguided as the causal mechanics vary between the types of errors but neither
is it appropriate to simply look at each case as an isolated incident as causal
connections to similar shooting incidents might also be missed. Utilizing this
typology will more accurately discriminate between the different types of
shooting errors and improve research on police shootings, and, based on the
type of error, appropriate means can be employed to reduce those types of
errors through policy, training or practice.
Taylor, P. L. (2019). Beyond false positives: A
typology of police shooting errors. Criminology & Public Policy, 18(4),
807-822.
Eliminating errors in the use of lethal force is just
one way of improving police performance, which can foster and build police legitimacy
with the public. James, James, Davis, and Dotson suggest that rather than
looking at outcomes to study police-citizen contacts, a more in-depth analysis
of police performance that examines officer behavior while accounting for
influencing factors, can not only enhance our understanding of officer decision
making and behavior but also improve police performance in their contact with
citizens.
Using Interval-Level Metrics to
Investigate Situational-, Suspect-, and Officer-Level Predictors of Police
Performance During Encounters with the Public
James, James, Davis and Dotson, Police
Quarterly, 2019
The authors look at factors that may influence how
police officers behave during encounters with the public, noting previous
research has examined whether suspect race influences officer involved
shootings or whether officers use greater force depending on suspect demeanor, or
whether neighborhoods predict police-citizen outcomes. However, this research
typically focuses on the outcome of the encounter, not the performance of the
officer in the encounter. For example, an officer may exhibit fairness and do
everything right but still generate a citizen complaint, while another officer
may do everything wrong and get away with it if the citizen doesn’t bother to
file a complaint. The authors examined a wide variety of 667 incident reports from
a large urban department (1500 sworn officers) to examine situational, suspect,
and officer level predictors on how officers perform in their interactions with
the public. Utilizing a recently established and rigorously developed police
encounter performance metric, the authors used interval level metrics to score
officer performance across the range of these encounters which include Use of Force,
Tactical Social Interaction (officer performance in routine citizen
encounters), and Crisis Intervention, which involved officer performance in
crisis encounter or encounter with people with mental illness.
Within these three metrics are a wide variety of
performance measurements. For example, under Use of Force there are 48
performance variables within the categories of Preplan (expecting to be
involved in a deadly force situation, waiting for backup) Observe/assess
(correctly identifies threats, identifies pre-assault indicators, aware of what
is going on in the periphery, selecting reasonable force options), Officer Behavior
(paying attention to details, drawing the weapon, able to use communication
skills to defuse, used appropriate level of assertiveness), Tactics (had
necessary equipment, prioritizing citizen safety, prioritizing other officer
safety, using cover, effectively engaging multiple opponents) and Adapt
(correctly responds to a threat, recognizes need to transition to different
force option, uses or compensates for environmental conditions). Tactical and Social
Interaction and Crisis Intervention also utilized extensive performance
variables under similar categories, including Resources, Interaction, and
Closing the Encounter.
Each of these variables carried a score indicating that behavior’s impact on performance. The incident reports were than analyzed and coded if the officer took the action, or whether the officer could have taken the action but did not. Not all performance metrics were suitable for every encounter and so were not included in the scoring and analysis. The performance scores of officers are expressed as a percentage, the proportion of all behaviors that were possible in the encounters, as measured by the metrics. In addition to this, the authors also coded situational (nighttime, children present, cultural or language barrier, more than one civilian present), suspect (age, sex, race, non-compliant, armed, hostile, homeless, emotionally disturbed, substance impaired, self-harming behavior), and officer (sex) level variables and analyzed them for their effect on officer performance.
Overall, across all incidents the average performance
score was 80.5%. Officers scored highest in crisis encounters (83.6%),
aggravated assaults (83.4%), and domestic violence incidents (82.4%) but scored
lower in traffic collisions (74.8%), harassment calls (76.9%) and investigation
of suspicious circumstances (76.7%). See Table 1 below with average officer performance
scores and their error bars at a 95% confidence interval.
Table 1. Citizen Interaction Specific Police Officer
Performance Scores
To investigate this average 20% performance deficit, the authors examined specific categories and found officers scored highly in Observe/assess (96%) and Closing (93.6%) but less proficient with Preplanning (80.5%), Adapting Tactics (83.8), and use of Tactics (84.4). They also note officers performed far better in crisis encounters (94.5%) than in routine (non-crisis) police/citizen interactions (76.9%).
When the authors examined situational factor influence on officer performance, they found similar performance irrespective of night or day, the presence of children, or the presence of cultural barriers with a slightly better performance in the presence of language barriers (84.2%) than without (81.8%) and statistically significantly better performance with more than one civilian present (81.5%) as compared to only one civilian present (78.6%). In analyzing suspect factors, performance was very similar with teens, young adults, and older adults, and slightly higher performance scores with men as opposed to women (84.7% vs 82.1 %). Officers also performed slightly better (mid 80’s percentiles) with substance impaired citizens, the homeless, self-harming individuals, hostile citizens, and armed suspects than with the opposite counterparts to these factors. Officers also had significantly better performance scores in dealing with emotionally disturbed individuals (84.8%), non-compliant citizens (86.3%) and Blacks (85.8%) compared to Whites (83.2%) or Hispanics (83.8%). While officer gender was the only officer related factor that could be analyzed in this study based on incident reports, there was no statistical difference in performance scores based on gender.
The authors suggest that the results indicate that
officers perform better in crisis or “high stakes scenarios as evidenced
by their higher performance in crisis incidents like domestics and aggravated
assault. This may occur as officers are calling upon tasks that they excel at
like vigilant situational assessment, the use of tactics, and adapting those
tactics, with officers scoring high in Observe/assess. The large difference
between crisis and routine encounters suggests that while measurements show
that officers performed very well with performance items like clearly
explaining actions, showing empathy, and demonstrating concern for the citizen
but perhaps felt the need to demonstrate this more in crisis situations than in
routine encounters. The finding that officers performed better with Blacks than
non-blacks might be difficult to interpret. The largest differences between
Blacks and non-Blacks were in the Observe/assess category, 99% compared to 95%.
It could be suggested that officers have a heightened awareness because of
implicit bias, unconsciously associating Blacks with weapons or danger, in line
with the Minority Threat hypothesis. Alternately, officers may be paying more
attention in encounters with Blacks due to a desire to perform well in these encounters
and avoid being labeled as biased, with the authors noting that the department
had received implicit bias training in the past year. Officers’ better
performance with emotionally disturbed and non-compliant individuals suggests
that while officers logically would use humanizing and de-escalation techniques
in these situations, across the range of performance behaviors, indications
seem to be that officers try harder during situations they perceive as more
challenging.
Implications from the study suggest using performance
metrics are a better way to assess officer behavior than simply analyzing
outcomes, such as whether force was used or the presence of citizens complaints
as they may provide a distorted picture of actual officer performance. The authors
also urge the use of body worn cameras to aid in the assessment of officer
performance. They also recognize that outcomes speak to fair enforcement and
building public trust to enhance police legitimacy but rather than the sole
measure of police encounters, both performance and outcomes can be analyzed to
determine how probabilistic outcomes like use of force, or arrest, are, and how
much they are dictated by good or bad officer performance. As well as being
used to assess training effectiveness like Crisis Intervention Training,
officers can be trained to incorporate de-escalation techniques in a broader
range of scenarios where there is a likelihood of escalation, including in
routine citizen encounters where techniques like empathizing, reducing the
police citizen power differential, and being respectful may foster the
perception of police legitimacy as well as reduce the 20% officer performance
deficit.
James, L., James, S., Davis, R., & Dotson, E.
(2019). Using Interval-Level Metrics to Investigate Situational-, Suspect-, and
Officer-Level Predictors of Police Performance During Encounters With the
Public. Police Quarterly, 22(4), 452-480.