According to the Federal Service for Labour and Employment, 2024 was overshadowed by more than 45,000 occupational accidents — a staggering 7% increase compared to 2023! Behind these numbers lies a heavy burden of human tragedies: broken lives, pain, and the despair of victims and their families. The country's economy also feels the impact: productivity drops, compensation payments rise, and enterprises suffer losses.
This inevitably raises the questions: "What pushes people into this abyss of occupational injuries? What fatal factors lead to workplace tragedies?"
These questions kept me awake at night as well. I decided to get to the bottom of it, armed with mathematics and statistics, to identify the correlations between various workplace factors and the risk of injury. I used every tool available: from tedious ranking using Pareto charts (sorry, but they are indispensable!), to clever correlation and regression analyses using Student's t-test and Pearson's criteria (sounds scary, but it is actually fascinating!). I also included staff surveys (who knows the "pain points" of production better than the workers?), mathematical modeling, and even a bit of predicting the future (nothing supernatural, just simple forecasting). I literally devoured the investigation materials of over 1,500 accidents! And you know what? My efforts were not in vain! Here are the conclusions I reached:
It turned out that the "employee category" matters a great deal. The higher the qualifications and position, the lower the risk of becoming a victim.
Analyzing the impact of "profession" revealed a direct and very strong correlation. Blue-collar workers directly involved in production turned out to be the most vulnerable.
"Work experience" works in the opposite direction. The less experience, the higher the risk. Young workers who have not yet mastered their profession get into trouble more often due to a lack of knowledge and experience. On the other hand, experienced, seasoned workers are more attentive to hazards and take a more responsible approach to safety.
Oddly enough, the "day of the week" has almost no effect on the risk of injury. However, Wednesday turned out to be slightly more dangerous than other days. Perhaps this is related to the preparation for tasks that require enhanced safety measures and the issuance of work permits.
Statistical analysis revealed 6 fatal "root causes" that most frequently lead to workplace accidents: "unsatisfactory organization of work," "employee violation of labor regulations and discipline," "traffic rule violations," "unsatisfactory technical condition of buildings, structures, and territories," "violation of technological processes," and "poor housekeeping and deficiencies in workplace organization." It was established that these "six pillars" of occupational injuries have a tremendously strong impact on the probability of an accident.
The practical application of this data is invaluable! It will help managers and HSE professionals plan injury reduction measures more accurately, pay more attention to training inexperienced workers, and strengthen safety compliance monitoring during operations.