"116m GSM data" refers to a significant data breach involving the personal information of approximately 116 million citizens in
. This dataset is frequently discussed in cybersecurity circles and on underground forums alongside other major Turkish leaks like "Mernis" (the Central Population Administration System). Key Details of the Leak The database contains records for roughly 116 million individuals
, which exceeds the current population of Turkey, suggesting the data includes both living and deceased citizens or historical records.
The "GSM" designation indicates that the primary focus of this specific dataset is mobile phone information . It typically includes: Full names and Turkish Identity Numbers (TC Kimlik No). Mobile phone numbers and associated operators. Address information and family link data.
While often labeled as a "GSM" leak, experts believe the data likely originated from a vulnerability in a government or utility service (such as health systems or insurance databases) rather than a direct breach of mobile carriers themselves. Current Status and Risks Accessibility: The data is widely available on GitHub repositories
and Telegram channels, often provided for free or via "query bots" that allow users to search for individuals by name or ID. Security Implications: This leak poses a high risk for Identity Theft
. Fraudulent callers use this specific data to appear legitimate by reciting the victim’s correct address and ID number during "cold calls" from fake banks or government agencies. Legal Standing: 116m gsm data
Possession or distribution of this data is a serious crime under Turkish Personal Data Protection Law (KVKK). check if your information has been compromised in this specific leak?
In the context of heliborne (helicopter-based) magnetic and spectrometric surveys, 116m is often cited as a critical operational threshold:
Terrain Clearance: Technical reports for mineral exploration often specify a maximum terrain clearance of 116m based on "calculated effective height".
Data Processing: When the survey altitude stays below this 116m limit, certain corrective measures like height adaptive filtering are not required for the collected data.
Magnetometers: These surveys frequently use a GEM GSM-19 Overhauser magnetometer to collect high-resolution magnetic data. 2. Cellular & Other Contexts
While "GSM" is universally known as the Global System for Mobile Communications, there is no standard 2G/3G feature known as "116m." However, the number 116 appears in related niche technical contexts: "116m GSM data" refers to a significant data
Location Accuracy: In mobile location estimation studies for GSM networks, researchers have found that 95% of calls result in a positioning error of less than 115–116 meters.
Network Infrastructure: Large telecommunications providers like AT&T have historically served approximately 116 million customers, a figure often used in industry capacity and infrastructure analysis.
Structural Engineering: Some specialized jacking tower systems used for industrial lifting (which might use GSM-based remote monitoring) have reached heights of exactly 116m.
Could you clarify if you are looking for a specific mobile phone setting, or if this relates to a technical survey or engineering report? Top Forecasts for 2015 - Steel In The Air
After a decade of analyzing such datasets, a few counterintuitive truths emerge:
We are more predictable than we believe. Given a person’s location at 9 AM on a Tuesday, a model trained on 116 million points can predict their 6 PM location with 87% accuracy. Not because we are boring, but because infrastructure constrains us. Technical architecture (high level)
The majority of events are stationary. In any 116M dataset, roughly 70% of location updates come from devices that have not changed cell or TA in over an hour. We think of mobile data as “movement data.” It is mostly “stillness data with occasional jumps.”
Collective behavior has its own physics. When 10,000 people exit a stadium, the GSM network does not see 10,000 independent agents. It sees a pressure wave of signaling that propagates from the stadium’s cells to adjacent cells at the speed of human walking. The wave has a density, a velocity, and a dissipation rate. You can model it with fluid dynamics.
The night tells a different story. Between 2 AM and 4 AM, 116 million points collapse to a sparse set of residential cells. But within that sparse set, a new signal emerges: visiting patterns. Devices that spend nights in different cells on weekdays vs. weekends reveal second homes, hotel stays, or hospitalizations. The quiet hours are the most revealing.
Generating 116 million location events is not a passive process. Each event consumes Signaling System No. 7 (SS7) or Diameter signaling capacity. A single LAU requires:
That is roughly 1.5 kilobytes of signaling over the air and core network. Multiply by 116 million: 174 gigabytes of signaling plane data—not user traffic, just the network saying “I know where you are.” This is the hidden cost of mobility. Without careful dimensioning, 116 million events can collapse a regional MSC.
Operators engineer for this by: