Results
Generated 6/25/2026, 10:18:51 PM · 29 questions · 160 GT-scored runs
Model (6)
GPT-5.1OpenAIopenai/gpt-5.1-20251113View model page →GPT-5.1OpenAIopenai/gpt-5.1-20251113View model page →Gemini 2.5 ProGoogle DeepMindgoogle/gemini-2.5-proView model page →DeepSeek R1DeepSeekdeepseek/deepseek-r1View model page →Claude 4.5 SonnetAnthropicanthropic/claude-4.5-sonnet-20250929View model page →Llama 3.3 70BMetameta-llama/llama-3.3-70b-instructView model page →
Question
If you took all the concrete humanity produces in one year and poured it into the Grand Canyon, what fraction of the canyon's volume would it fill?
Unit: fraction (dimensionless, 0-1) · Domain: physics, infrastructure, geography
Ground-truth decomposition (verified)
squiggle
// If you took all the concrete humanity produces in one year and poured it
// into the Grand Canyon, what fraction of the canyon's volume would it fill?
// Unit: fraction (0-1)
//
// Sources (see .fermi sibling for full notes):
// Cement: USGS MCS 2025, 4,000-4,200 Mt
// https://www.usgs.gov/centers/national-minerals-information-center/cement-statistics-and-information
// Grand Canyon: NPS 4.17 trillion m³
// https://en.wikipedia.org/wiki/Canyon
cement_kg = to(4000e9, 4200e9) // Tier 1: USGS range
cement_per_m3 = to(300, 400) // Tier 2: industry standard
grand_canyon_m3 = 4.17e12 // Tier 0: NPS official scalar
fraction = cement_kg / cement_per_m3 / grand_canyon_m3
{
p5: quantile(fraction, 0.05),
p50: quantile(fraction, 0.50),
p95: quantile(fraction, 0.95)
}
■ model · ■ verified ground truth ·
Score
Cramér-log
0.0458
lower = closer to GT
Diagnostics
log_bias
0.085
negative = under
sharpness
0.324
log-stdev
log_mae_median
0.073
point accuracy
PIT
0.41
0=under, 1=over
cov 50%
✓
cov 90%
✓
Reasoning (7544 output tokens · 6123 reasoning · thinking captured)
Internal thinking
**Estimating concrete volume** I need to Fermi estimate the global yearly concrete production relative to the volume of the Grand Canyon. First, I should calculate the concrete volume per year based on the mass and density. The global concrete production is roughly estimated at 10 to 30 billion tonnes annually, which matches a usage of about one cubic meter per person per year for around 10 billion people. This leads me to a reasonable estimate of about 24 to 40 million cubic meters of concrete produced each year.**Estimating Grand Canyon volume** I think the Grand Canyon's volume could be around 4 trillion cubic meters, possibly up to 4.5 trillion. To get my estimate, I'll consider the canyon's dimensions: it's roughly 450 km long, with a top width of about 16 km and an average depth of 1.6 km. I'll use a triangular cross-section approach to find the volume, estimating it might range between 2,000 and 6,000 km³. I’ll ultimately express this range in a lognormal distribution and then factor in the yearly concrete volume to get a clearer picture.**Estimating concrete production** I'm considering an approach to estimate concrete production using per capita data. Industrialized countries use a lot during construction booms, and it's often cited that around 50 billion tonnes of sand and gravel is used annually, although I want to be cautious about relying solely on that. I recall global cement production was about 4.1 billion tonnes in 2019. I'll reason that the cement makes up about 10-15% of concrete. This gives a ratio of concrete to cement mass around 6 to 10, with a 90% confidence interval ranging from 4 to 12.**Calculating global concrete mass** I'm figuring out the relationship between global cement mass and concrete mass using a ratio. Taking a cement estimate of 3 to 5 billion tonnes with a ratio of 4 to 12 gives a concrete mass ranging from 12 to 60 billion tonnes. However, I think a better estimate might be 20 to 40 billion tonnes. I’ll choose a global cement mass of 3 to 5 billion tonnes and a concrete-to-cement mass ratio of 4 to 10, leading to a concrete mass of around 12 to 50 billion tonnes. Considering the density of concrete is about 2.4 t/m³, I'll keep it consistent as I calculate the volume based on mass and density.**Calculating concrete and canyon volumes** I'm working through the calculations for global concrete production and the Grand Canyon's volume. First, I estimate global cement production, which could be around 3.5 to 5.5 billion tonnes, and a concrete-to-cement mass ratio of 5 to 10. This suggests a global concrete mass ranging from 18 to 40 billion tonnes. I’ll use a density range of 2.2 to 2.5 t/m³ to find the concrete volume, which leads to approximately 7 to 18 km³ annually. Next, I'll simplify the Grand Canyon’s geometry to estimate its volume using a wedge approximation, looking closely at its length, width, depth, and cross-sectional area.**Estimating canyon volume and concrete mass** I’m estimating the Grand Canyon's volume based on its total length, average rim-to-rim width, depth, and shape factor for the cross-section area. Then, I’ll calculate the fraction of concrete that would fill the canyon volume. For cement mass, I’m considering a range of 3.5 to 5.5 gigatonnes per year, with a concrete-to-cement ratio roughly between 5 and 8. This results in global concrete mass estimates, which I’ll use to compute concrete volume annually. After that, I’ll finalize the canyon's volume and the fraction that could be filled with concrete.**Refining cement-concrete estimates** I’m considering the fraction of cement that turns into concrete, which I estimate at about 80-95%. We can ignore some variations for simplicity and focus on the overall cement mass instead. I’ll review known concrete flows and calculate corresponding volumes; for instance, 30 Gt of concrete gives roughly 12.5 km³, pointing to a fraction that fills a small part of the Grand Canyon. I’ll narrow down uncertainties in canyon dimensions and adjust estimates for cement production and ratios to provide a more accurate overall volume and ratio analysis.
Visible reasoning (post-thinking)
We want: > fraction filled = (volume of all concrete made in 1 year) / (volume of the Grand Canyon) I’ll estimate both volumes separately, then take the ratio. --- ## 1. Volume of all concrete produced in one year ### 1.1 Global cement production (mass per year) Modern global cement production is widely known to be a few billion tonnes per year, not tens of billions, and not less than a billion. Given historical data up to the 2020s, a 90% confidence interval: - Lower bound: 3.5 billion tonnes (3.5e9 t) - Upper bound: 4.7 billion tonnes (4.7e9 t) This captures “recent typical” years without being too tight. So: - `cement_mass ≈ to(3.5e9, 4.7e9)` tonnes/year ### 1.2 Concrete mass per unit cement mass Concrete is mostly aggregates + sand + water, with cement as the binder. By mass, a typical structural concrete mix is roughly: - ~10–20% cement - the rest aggregates + water + admixtures So the ratio: > concrete_mass / cement_mass is typically in the range: - If cement is 20% by mass → ratio = 1/0.20 = 5 - If cement is 12.5% → ratio = 1/0.125 = 8 - It’s unlikely to be <5 or >8 on a global average. So as a 90% interval: - `concrete_to_cement_ratio ≈ to(6, 8)` (dimensionless) This also implicitly includes cement used in mortars and similar mixes — they’re concrete-like in density and bulk behavior. Then: - `concrete_mass = cement_mass * concrete_to_cement_ratio` ### 1.3 Density of concrete Normal structural concrete has density around 2.3–2.5 t/m³: - Lightweight and heavyweight mixes exist, but the global average should be close to “normal” concrete. So: - `concrete_density ≈ to(2.3, 2.5)` tonnes per cubic meter Then annual concrete volume: > concrete_volume = concrete_mass / concrete_density Units: m³/year. --- ## 2. Volume of the Grand Canyon We’ll approximate the Grand Canyon as a long, roughly V-shaped trench. ### 2.1 Length of the main canyon The commonly referenced length (Colorado River through the main canyon) is around the mid-400s of kilometers. For a 90% interval: - Lower: 430 km - Upper: 470 km So: - `canyon_length ≈ to(430e3, 470e3)` meters ### 2.2 Average rim-to-rim width The canyon is: - Max width approaching ~30 km in some places - Much narrower in others An average “effective” width for the main canyon might be in the low to mid-teens of kilometers. Reasonable 90% interval: - Lower: 12 km - Upper: 20 km So: - `canyon_width ≈ to(12e3, 20e3)` meters ### 2.3 Average depth (rim to river) Maximum depth is around 1.8 km; many sections are shallower. Average depth of the big canyon sections is plausibly: - Roughly 1.1–1.5 km So: - `canyon_depth ≈ to(1.1e3, 1.5e3)` meters ### 2.4 Cross-section shape factor If we took a simple rectangular cross-section (width × depth), that would overestimate volume, since the canyon is more like a V/U shape: steep walls, benches, side valleys, etc. Define: > shape_factor = (actual cross-sectional area) / (width × depth) - A perfect triangle would be 0.5 - The Grand Canyon is irregular; some parts are very steep, some stepped, so 0.3–0.6 feels like a reasonable range. So: - `cross_section_shape_factor ≈ to(0.3, 0.6)` (dimensionless) Then: > cross_section_area = canyon_width * canyon_depth * cross_section_shape_factor > canyon_volume = canyon_length * cross_section_area Units: m³. This approach should put us in the right ballpark (a few thousand cubic kilometers). --- ## 3. Fraction of the canyon filled Finally: > fraction_filled = concrete_volume / canyon_volume This is dimensionless (a fraction between 0 and 1). Intuitively, with tens of billions of tonnes of concrete per year and a few thousand cubic kilometers of canyon, we expect the result to be far below “completely full,” but not vanishingly small (i.e., some small fraction of the canyon’s volume). --- ## 4. Squiggle code
Extracted squiggle block
// 1. Global concrete volume per year
cement_mass = to(3.5e9, 4.7e9) // tonnes of cement produced globally per year
concrete_to_cement_ratio = to(6, 8) // mass of concrete per unit mass of cement (dimensionless)
concrete_mass = cement_mass * concrete_to_cement_ratio // tonnes of concrete produced per year
concrete_density = to(2.3, 2.5) // density of concrete in tonnes per cubic meter
concrete_volume = concrete_mass / concrete_density // cubic meters of concrete produced per year
// 2. Grand Canyon volume
canyon_length = to(430e3, 470e3) // length of main Grand Canyon section, in meters
canyon_width = to(12e3, 20e3) // average rim-to-rim width, in meters
canyon_depth = to(1.1e3, 1.5e3) // average depth from rim to river, in meters
cross_section_shape_factor = to(0.3, 0.6) // fraction of rectangular cross-section that is actual canyon void
canyon_volume = canyon_length * canyon_width * canyon_depth * cross_section_shape_factor // cubic meters
// 3. Fraction of the Grand Canyon filled by one year's concrete production
fraction_filled = concrete_volume / canyon_volume // dimensionless fraction (0-1)
{
p5: quantile(fraction_filled, 0.05),
p50: quantile(fraction_filled, 0.50),
p95: quantile(fraction_filled, 0.95)
}Full raw response
We want:
> fraction filled = (volume of all concrete made in 1 year) / (volume of the Grand Canyon)
I’ll estimate both volumes separately, then take the ratio.
---
## 1. Volume of all concrete produced in one year
### 1.1 Global cement production (mass per year)
Modern global cement production is widely known to be a few billion tonnes per year, not tens of billions, and not less than a billion.
Given historical data up to the 2020s, a 90% confidence interval:
- Lower bound: 3.5 billion tonnes (3.5e9 t)
- Upper bound: 4.7 billion tonnes (4.7e9 t)
This captures “recent typical” years without being too tight.
So:
- `cement_mass ≈ to(3.5e9, 4.7e9)` tonnes/year
### 1.2 Concrete mass per unit cement mass
Concrete is mostly aggregates + sand + water, with cement as the binder.
By mass, a typical structural concrete mix is roughly:
- ~10–20% cement
- the rest aggregates + water + admixtures
So the ratio:
> concrete_mass / cement_mass
is typically in the range:
- If cement is 20% by mass → ratio = 1/0.20 = 5
- If cement is 12.5% → ratio = 1/0.125 = 8
- It’s unlikely to be <5 or >8 on a global average.
So as a 90% interval:
- `concrete_to_cement_ratio ≈ to(6, 8)` (dimensionless)
This also implicitly includes cement used in mortars and similar mixes — they’re concrete-like in density and bulk behavior.
Then:
- `concrete_mass = cement_mass * concrete_to_cement_ratio`
### 1.3 Density of concrete
Normal structural concrete has density around 2.3–2.5 t/m³:
- Lightweight and heavyweight mixes exist, but the global average should be close to “normal” concrete.
So:
- `concrete_density ≈ to(2.3, 2.5)` tonnes per cubic meter
Then annual concrete volume:
> concrete_volume = concrete_mass / concrete_density
Units: m³/year.
---
## 2. Volume of the Grand Canyon
We’ll approximate the Grand Canyon as a long, roughly V-shaped trench.
### 2.1 Length of the main canyon
The commonly referenced length (Colorado River through the main canyon) is around the mid-400s of kilometers.
For a 90% interval:
- Lower: 430 km
- Upper: 470 km
So:
- `canyon_length ≈ to(430e3, 470e3)` meters
### 2.2 Average rim-to-rim width
The canyon is:
- Max width approaching ~30 km in some places
- Much narrower in others
An average “effective” width for the main canyon might be in the low to mid-teens of kilometers.
Reasonable 90% interval:
- Lower: 12 km
- Upper: 20 km
So:
- `canyon_width ≈ to(12e3, 20e3)` meters
### 2.3 Average depth (rim to river)
Maximum depth is around 1.8 km; many sections are shallower.
Average depth of the big canyon sections is plausibly:
- Roughly 1.1–1.5 km
So:
- `canyon_depth ≈ to(1.1e3, 1.5e3)` meters
### 2.4 Cross-section shape factor
If we took a simple rectangular cross-section (width × depth), that would overestimate volume, since the canyon is more like a V/U shape: steep walls, benches, side valleys, etc.
Define:
> shape_factor = (actual cross-sectional area) / (width × depth)
- A perfect triangle would be 0.5
- The Grand Canyon is irregular; some parts are very steep, some stepped, so 0.3–0.6 feels like a reasonable range.
So:
- `cross_section_shape_factor ≈ to(0.3, 0.6)` (dimensionless)
Then:
> cross_section_area = canyon_width * canyon_depth * cross_section_shape_factor
> canyon_volume = canyon_length * cross_section_area
Units: m³.
This approach should put us in the right ballpark (a few thousand cubic kilometers).
---
## 3. Fraction of the canyon filled
Finally:
> fraction_filled = concrete_volume / canyon_volume
This is dimensionless (a fraction between 0 and 1).
Intuitively, with tens of billions of tonnes of concrete per year and a few thousand cubic kilometers of canyon, we expect the result to be far below “completely full,” but not vanishingly small (i.e., some small fraction of the canyon’s volume).
---
## 4. Squiggle code
```squiggle
// 1. Global concrete volume per year
cement_mass = to(3.5e9, 4.7e9) // tonnes of cement produced globally per year
concrete_to_cement_ratio = to(6, 8) // mass of concrete per unit mass of cement (dimensionless)
concrete_mass = cement_mass * concrete_to_cement_ratio // tonnes of concrete produced per year
concrete_density = to(2.3, 2.5) // density of concrete in tonnes per cubic meter
concrete_volume = concrete_mass / concrete_density // cubic meters of concrete produced per year
// 2. Grand Canyon volume
canyon_length = to(430e3, 470e3) // length of main Grand Canyon section, in meters
canyon_width = to(12e3, 20e3) // average rim-to-rim width, in meters
canyon_depth = to(1.1e3, 1.5e3) // average depth from rim to river, in meters
cross_section_shape_factor = to(0.3, 0.6) // fraction of rectangular cross-section that is actual canyon void
canyon_volume = canyon_length * canyon_width * canyon_depth * cross_section_shape_factor // cubic meters
// 3. Fraction of the Grand Canyon filled by one year's concrete production
fraction_filled = concrete_volume / canyon_volume // dimensionless fraction (0-1)
{
p5: quantile(fraction_filled, 0.05),
p50: quantile(fraction_filled, 0.50),
p95: quantile(fraction_filled, 0.95)
}
```run_id f9393918cb2e · provider openrouter · model openai/gpt-5.1-20251113 · seed 1