What We Know About School Shooters Might Help Prevent the Next Attack

What We Know About School Shooters Might Help Prevent the Next Attack

Since 2011, the rate of mass shootings has more than tripled in the United States and schools have frequently been the target. While added physical security measures are a step towards preventing these attacks from happening on campuses, there is more we can do. Identifying a school shooter before their plans turn into action is the best method of prevention.

The FBI has found that for shooters under the age of 18, peers and teachers were more likely to observe concerning behavior than family members. To get more people to report concerning behavior, we have to know what to look out for. Here is what we know about school shooters from the data.

They experience high levels of stress.

A common characteristic found in high risk individuals was the failure to navigate major stressors in their lives. One of the top ranked stressors was mental health (not mental illness) in 62% of those analyzed.

When it comes to providing students with resources for their mental health, most schools are underfunded. Of those analyzed, only 53% of schools reported they provided training on referral strategies for students with signs of mental health disorders. This presents a great area for improvement and could prove to be more effective than physical security measures.

There are other stressors that can be an identified as well. Some of these included “conflict at school”, which was present in 22% of incidents, and conflict with friends or peers which was present in 29% of shooters.

They display concerning behavior.

Most schools fail to observe concerning behaviors or develop intervention strategies if noticed.

First Instance of Concerning Behavior

Figure 9: James Silver, Andre Simons, and Sarah Craun, “A Study of the Pre-Attack Behaviors of Active Shooters in The United States Between 2000 and 2013.

According to the most recent U.S. Department of Education’s Indicators of School Crime and Safety study, only 48% of schools reported providing training on the early warning signs of violent student behaviorYet teachers still observed concerning behavior 75% of the time. Sadly, however, 83% of the time the behavior was only communicated to the shooter, or nothing was done (54%).

These facts bring up many more questions than answers. How risk adverse should administrators be when reporting concerning behavior? How do you report behavior without creating further grievances?  Regardless of your unique approach for your institution and community, the time to be aware, alert, and prepared to act is before an attack not just during and after. 

They plan ahead.

The FBI’s study found that 77% of shooters will take a week or longer to plan their attack, and 46% spend a week or longer preparing. These activities can produce common identifiable behaviors and help raise the red flag.

Time Spent Planning

Figure 6: James Silver, Andre Simons, and Sarah Craun, “A Study of the Pre-Attack Behaviors of Active Shooters in The United States Between 2000 and 2013.

They leak information.

An information leak by the potential shooter is another commonly observed behavior. In fact, it was found that they leaked their intentions about 56% of the time.

A good majority of these information leaks take place in a student or employee’s digital lives. These online leaks often go unnoticed or unheard by those who could potentially intervene. This brings to light the importance of taking what individuals say, even if online, seriously.

Yet, only 6% of schools reported that staff resources were used to address cyberbullying. Shockingly, only 12% of schools reported that cyberbullying happened at least once a week at school or away, which either reflects underreporting, schools are under-resourced in monitoring and addressing the issue, or that many school are oblivious to the problem.

They target familiar places.

A known connection to the location of the attack is another factor that comes into play. In 73% of cases the shooter had a known connection to the location of attack. Almost all perpetrators under 18 (88%) targeted a school or a former school.

Venn diagram of relationship between random and targeted victims

Figure 6: James Silver, Andre Simons, and Sarah Craun, “A Study of the Pre-Attack Behaviors of Active Shooters in The United States Between 2000 and 2013.

Looking into this further, in 64% of cases, at least one victim was specifically targeted by the shooter. In cases where a primary grievance could be identified, the most common was adverse interpersonal action against the shooter. This means that shooters commonly target individuals they have grievances with: students, teacher, or administration.

Identifying a potential shooter before an incident can be the difference between a life and death situation. With the use of predictive analytics, the potential to identify these patterns is more advanced than ever. School shootings and school security have been under-researched for decades. Lumina Analytics has been building and perfecting these exact technological tools to help keep schools safe.

Predicting and Preventing Suicide Through AI

Predicting and Preventing Suicide Through AI

It’s not always easy for young people to articulate their problems. A student who regularly attends class and receives good grades could also be fighting an addiction. A teen constantly smiling for Instagram photos could actually be depressed. For friends and family of the person struggling, recognizing the warning signs of distress might not come easily.


Artificial intelligence can act as a voice for people dealing with various internal issues. It can also notify loved ones or even officials when a person needs help. The following two stories serve as examples of potential tragedies that could be avoided thanks to artificial intelligence:


Using Artificial Intelligence to Fight Cyber Bullying

Hailey was in her dorm room staring at her phone. A stranger had posted another fake story about her. Hailey knew if she reported it, the imposter would just create a new account or use a website that allows anonymous posts.

Hailey is one of more than 20% of college students being cyberbullied. She struggled with bullying and depression throughout her first two years of college before her friends and family were able to help her, but she could have gotten help a lot sooner with artificial intelligence. As soon as the menacing messages appeared, cutting-edge predictive analytics paired with human analysis could have combatted the issue much earlier.


Catch Suicidal Tendencies Early with Artificial Intelligence

Ana had been a star student in high school. She held a part-time job, ran track and was in a serious relationship. During her freshman year of college, she became increasingly depressed. One night she texted heart emojis to all her friends, wrote a goodbye letter to her parents, and attempted suicide. Ana’s friends found her and called 911 in time.

While she was lucky, suicide has risen to become the second-leading cause of death among Ana’s age group. Ana, and so many others like her, could have benefited from help and treatment as soon as predictive analytics powered by artificial intelligence flagged her online searches and habits as possible suicidal tendencies.


Meet Radiance.

As mental health problems become more common, and troubling behavior migrates online where it is harder to identify using traditional methods, many schools are struggling to adapt. To face these new challenges, innovative solutions are needed.

What if a sophisticated system could immediately alert student services to the problems their students face, like what should have happened for Hailey and Ana. The idea of counselors and health care professionals being guided to students’ darkest struggles is not some distant future. It’s possible today thanks to Lumina – a Predictive Analytics firm which uses artificial intelligence and open-source data to combat some of society’s most pressing issues. Powered by cutting-edge artificial intelligence and human analysis, Lumina’s newest solution can identify harmful behavior online and alert people who can help.

By working with schools, Lumina can help counselors, student services, and even security officers adapt to new digital landscapes related to bullying, mental health, drug misuse, and other challenges. With new threats emerging every day, taking full advantage of artificial intelligence will allow schools to meet these challenges head-on.