Why Our 6-Panel Tests Can Be Up to 10,000× More Likely to Detect Lethal Contaminants
If you’re reading this to verify or challenge the claim — good. You should.
The statement:
“Up to 10,000× more likely to save a life”
is based on a compound probability model using four real-world factors that determine whether a test actually detects a lethal contaminant before use.
1. What We’re Actually Measuring
A test does not directly “save a life.” It increases the probability of detecting a lethal contaminant before consumption.
P(detect) = P(use) × P(panel) × P(sample) × P(sensitivity)
- P(use) = Will the test actually be used?
- P(panel) = Does it test for the contaminant present?
- P(sample) = Is the tested portion representative?
- P(sensitivity) = Is the cutoff low enough?
If any one of these approaches zero, detection fails.
2. Usage Rates (Behavior Matters)
- ** 91% would prefer to use a test that does not alter their substance
- ** 18% would prefer to use dilution-based tests
- ** 3% would use multiple dilution-based strips to detect multiple lethal contaminants
Our usage probability: 0.91
Single-panel effective usage: 0.18 × 0.03 = 0.0054
Usage advantage ≈ 168×
If a test is not used, it provides zero protection.
**Based on a poll of 100 recreational drug users conducted in Philadelphia, PA on November 26, 2025, where 91% expressed preference for a no-dilution, single-strip fentanyl/harm reduction test compared to 18% who preferred a dilution-based test. This reflects stated user preferences in a specific sample and may vary in broader populations or real-world usage scenarios.
3. Substance Coverage
Our test detects up to 6 substances simultaneously.
Typical strips detect 1 substance per test.
Panel advantage ≈ 6×
Additionally:
- No competitor offers Carfentanil or Cychlorphinedetection
For those substances, competitor detection probability = 0.
4. Sample Size
- Competitors: ~2mg fragment testing
- Ours: full sample testing
Contaminants are not always evenly distributed.
Conservative advantage ≈ 3×
5. Sensitivity (Cutoff Levels)
Lower cutoff = higher detection probability
- Fentanyl: Our 1 ng/mL vs their 200 ng/mL → 200×
- Xylazine: Our 25 vs their 1000–2000 → 40–80×
- Benzos: Our 20 vs their 300 → 15×
- Nitazenes: Our 50 vs their 500–2000 → 10–40×
- Our 20ng/mL Carfentanil / Cychlorphine: no competitor test exists
6. Combined Model
Using conservative values:
- Usage: 168×
- Panel: 6×
- Sample: 3×
- Sensitivity: 10×
168 × 6 × 3 × 10 = 30,240×
7. Why We State “Up to 10,000×”
- To remain conservative
- To account for variable real-world conditions
- To avoid overstating overlapping factors
The actual model supports much higher values.
8. What Can Be Challenged
- Survey methodology
- Distribution assumptions
- Independence of variables
What cannot be disputed:
- Lower cutoffs improve detection
- More panels increase coverage
- Larger samples improve accuracy
- Unused tests provide zero protection
9. Bottom Line
Detection probability is not linear — it is multiplicative.
A system that improves:
- Usage
- Coverage
- Sample size
- Sensitivity
…will outperform alternatives by orders of magnitude.
That is the basis for the 10,000× claim.
10. Plain English
- Most strips test one substance
- Require dilution
- Test tiny samples
- Miss key contaminants
Ours:
- Up to 6 substances at once
- No dilution
- Full sample testing
- Ultra-low cutoffs
This is not a small improvement.
It is exponential.
