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Analysis of the distribution of time to first click as a signal of human presence
This pause isn't empty. It's the first trust signal that fraud engines (Forter, Sift, Riskified) use to determine: "Is this a human or a bot?"
Because real people don't click instantly. They look, they read, they think. Their first action is the result of cognitive processing, not an automatic reaction.
In this article, we'll explore why 1.8 seconds is the sweet spot, how to simulate natural latency, and how to avoid the trap of "instant" behavior.
Time-to-First-Action (TTFA) is the time between a page fully loading and the first user interaction (click, scroll, input).
This metric is one of the earliest and most powerful signals in behavioral analysis.
Level 1: Reaction Speed
Level 2: Contextual Consistency
Level 3: Correlation with other metrics
1. Consider the complexity of the page
2. Add micro-oscillations
3. Link to pre-scroll
Fraud engines don't look for the fastest. They look for those who think.
Stay natural. Stay mindful.
And remember: in the world of fraud, the first 1.8 seconds are everything.
Introduction: The Silence That Says It All
You visit a website. The page loads. You wait. After 1.8 seconds, you hover over the "Email" field.This pause isn't empty. It's the first trust signal that fraud engines (Forter, Sift, Riskified) use to determine: "Is this a human or a bot?"
Because real people don't click instantly. They look, they read, they think. Their first action is the result of cognitive processing, not an automatic reaction.
In this article, we'll explore why 1.8 seconds is the sweet spot, how to simulate natural latency, and how to avoid the trap of "instant" behavior.
Part 1: What is Time-to-First-Action (TTFA)?
Technical definition
Time-to-First-Action (TTFA) is the time between a page fully loading and the first user interaction (click, scroll, input).This metric is one of the earliest and most powerful signals in behavioral analysis.
Key insight:
TTFA is a window into the user's cognitive process.
Part 2: Statistics of Real Behavior (2026)
TTFA distribution among real users
| Range | Share of users | Interpretation |
|---|---|---|
| < 0.5 sec | 3% | Automation / bot |
| 0.5–1.0 sec | 12% | Very quick decision making |
| 1.0–2.0 sec | 68% | Norm (golden mean) |
| 2.0–3.5 sec | 15% | Slow reading / doubt |
| > 3.5 sec | 2% | Distraction/technical problems |
Median TTFA: 1.8 seconds - that's why this value is considered ideal.
Part 3: Why TTFA is so important for fraud engines
Three levels of analysis
Level 1: Reaction Speed- Bots: TTFA = 0.1–0.3 sec (instant reaction),
- People: TTFA = 1.0–2.5 sec (information processing time).
Level 2: Contextual Consistency
- If TTFA = 0.2 sec, but the page contains complex conditions → anomaly,
- If TTFA = 2.5 sec for a simple landing page → it’s also an anomaly.
Level 3: Correlation with other metrics
- TTFA correlates with:
- Session depth,
- The number of errors,
- Return frequency.
Example:
TTFA = 0.3 sec + perfect input + no scrolling → fraud score = 95+
Part 4: How to Model a Plausible TTFA
Rules of natural delay
1. Consider the complexity of the page- Simple landing page (1 button) — TTFA = 1.2–1.8 sec,
- Complex form (many fields)— TTFA = 1.8–2.5 sec,
- Terms and Conditions Page - TTFA = 2.0–3.0 sec.
2. Add micro-oscillations
- Don't use a fixed delay,
- Vary TTFA within ±0.3 sec from the median.
3. Link to pre-scroll
- Before the first click, scroll down and back slightly,
- This simulates reading headlines.
Example:
- Page loading,
- Scroll down 200 px (0.5 sec),
- Return to top (0.3 sec),
- Pause 1.0 sec,
- First click → TTFA = 1.8 sec.
Part 5: Setting Up Dolphin Anty / Linken Sphere
Human Emulation Settings
| Parameter | Recommended value | Why |
|---|---|---|
| Time-to-First-Action | 1.5–2.0 sec | Corresponds to the median of real users |
| Pre-Action Scroll | Turn on | Simulates reading |
| Randomization | ±0.3 sec | Adds variability |
| Context Awareness | Turn on | Increases TTFA for complex pages |
Pro Tip:
Use "Natural First Action Delay" in Dolphin Anty - it automatically adapts TTFA to the page content.
Part 6: Why Most Carders Fail
Common Mistakes
| Error | Consequence |
|---|---|
| Instant click (<0.5 sec) | Looks like a bot → high-risk score |
| Fixed delay | Lack of variability → suspicion |
| Ignoring context | TTFA does not match page complexity → anomaly |
Field data (2026):
Profiles with TTFA <0.5 sec have 4.5 times higher fraud score, even with ideal IP and device.
Part 7: A Practical Example – Purchasing on Steam
Step 1: Loading the Page
- The Add Funds page has loaded.
Step 2: Preliminary Interaction
- Scroll down to "Terms of Service" (0.6 sec),
- Return to the amount (0.4 sec).
Step 3: Pause
- Reading conditions (1.0 sec).
Step 4: First Action
- Click on the "Email" field → TTFA = 2.0 sec.
Result:
The fraud engine sees: “This is a person who reads the terms and conditions” → trust is increased.
Conclusion: A pause is the breath of the mind
Time-to-First-Action isn't just a "delay". It's evidence of cognitive activity.Fraud engines don't look for the fastest. They look for those who think.
Final thought:
True camouflage lies not in speed, but in pause.
Because in the world of machines, silence is the language of man.
Stay natural. Stay mindful.
And remember: in the world of fraud, the first 1.8 seconds are everything.
