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Analysis of the distribution of typing latency as a signal of human input
- Canvas noise - 65%,
- WebGL renderer - ANGLE (Intel, D3D11),
- Behavior - natural pauses and cursor hesitations.
But when you fill out a form, you enter characters with a perfect 37ms latency.
This is what instantly identifies you as a bot.
Because real people don't type at a constant speed. Their fingers hesitate, hesitate, speed up and slow down. And fraud engines (Forter, Sift, Riskified) wait for these micro-irregularities as proof of humanity.
In this article, we'll explore why a "perfect" latency is a red flag, how to simulate natural micro-pauses, and how to turn your weaknesses into an advantage.
When a person types, his brain goes through three phases:
This process is nonlinear. It includes:
Modern systems monitor dozens of parameters:
Stay natural. Stay unpredictable.
And remember: in the world of fraud, pause is the breath of life.
Introduction: Silence Between the Keys
You've carefully configured Dolphin Anty:- Canvas noise - 65%,
- WebGL renderer - ANGLE (Intel, D3D11),
- Behavior - natural pauses and cursor hesitations.
But when you fill out a form, you enter characters with a perfect 37ms latency.
This is what instantly identifies you as a bot.
Because real people don't type at a constant speed. Their fingers hesitate, hesitate, speed up and slow down. And fraud engines (Forter, Sift, Riskified) wait for these micro-irregularities as proof of humanity.
In this article, we'll explore why a "perfect" latency is a red flag, how to simulate natural micro-pauses, and how to turn your weaknesses into an advantage.
Part 1: Why a Perfect Latency Is a Sign of a Bot
Cognitive stages of input in humans
When a person types, his brain goes through three phases:- Symbol search - the eyes find the letter on the keyboard,
- Finger movement - the hand moves towards the key,
- Pressing and correction - the finger presses, sometimes making mistakes.
This process is nonlinear. It includes:
- Acceleration (between familiar letters),
- Slow down (before complex characters),
- Micropauses (0.1–0.5 sec before a new word).
Key insight:
Perfect delay is a sign of a lack of intelligence.
Because the mind doubts, hesitates, and accelerates.
Part 2: How Fraud Engines Analyze Input
Behavioral Metrics (2026)
Modern systems monitor dozens of parameters:| Metrics | Real user | Bot |
|---|---|---|
| Typing Speed | 30–60 characters/min | 200+ characters/min |
| Inter-key Delay | 80–300 ms (variable) | 35–40 ms (constant) |
| Pause Between Words | 300–800 ms | 0 ms |
| Error Rate | 3–7% | 0% |
Part 3: How to simulate natural micropauses
Types of delays
| Type | Example | Duration |
|---|---|---|
| Between the letters | j → o | 80–200 ms |
| Before special characters | and → . | 150–300 ms |
| Between words | doe → @ | 300–800 ms |
| After the error | johm → backspace | 500–1000 ms |
Rules for introducing delays
- Don't use a constant delay - vary it from 80 to 300 ms,
- Lengthen pauses before special characters (@, ., _),
- Add long pauses between words (300–800 ms),
- Don't repeat the same pattern - variety is the key to believability.
Example:
Entering email:
j (120 ms) → o (90 ms) → h (150 ms) → n (200 ms) → . (400 ms) → d (100 ms)...
Part 4: Setting Up Dolphin Anty/Linken Sphere
Human Emulation Settings
| Parameter | Recommended value | Why |
|---|---|---|
| Typing Delay | 80–300 ms (random) | Simulates human variability |
| Word Pause | 300–800 ms | Adds pauses between words |
| Special Char Delay | +100–200 ms | Lengthens pauses before @, ., _ |
| Error Probability | 5–7% | Corresponds to the actual level |
Pro Tip:
Enable "Random Typing Delay" in Dolphin Anty - it will automatically add micropauses.
Part 5: Practical Example – Filling Out the Registration Form
Step 1: The Name Field
- J (100 ms) → o (120 ms) → h (180 ms) → n (250 ms).
Step 2: Email Field
- j (90 ms) → o (110 ms) → h (140 ms) → n (200 ms) → . (400 ms) → d (100 ms) → o (120 ms) → e (150 ms) → @ (500 ms) → g (90 ms)...
Step 3: Password Field
- P (100 ms) → @ (300 ms) → s (120 ms) → s (80 ms) → w (150 ms) → 0 (200 ms) → r (100 ms) → d (180 ms) → ! (400 ms).
Step 4: Confirmation
- Before sending, there will be a 1-2 second pause for checking.
Result:
The fraud engine sees: “This is a person who doubts and checks” → trust is increased.
Part 6: Why Most Carders Fail
Common Mistakes
| Error | Consequence |
|---|---|
| Constant delay | Looks like a script → high-risk score |
| Zero pauses between words | Lack of thought → ban |
| Identical patterns | Looks like a template → suspicion |
Field data (2026):
Profiles with constant latency have a 4.2x higher fraud score, even with a perfect IP and device.
Conclusion: Perfection is the enemy of verisimilitude
Fraud engines don't look for the "perfect" user. They look for a human being — with their doubts, hesitations, and micro-pauses.Final thought:
True camouflage lies not in speed, but in irregularity.
Because in a world of machines, the best camouflage is being human.
Stay natural. Stay unpredictable.
And remember: in the world of fraud, pause is the breath of life.
