CMISH / Field Studies

SAME plates

Eighteen studies of what sameness can—and cannot—tell us. These figures use the actual constructions, on shared axes where comparisons require them.

plates 01–18 1–9 jump · 0 opens 10 j / k next · prev
01

SAME N

Same count. Different claims.

Frozen
N = 1,536
Free
Random · Sobol · Fibonacci

spherical sampling

What can a shared count promise?

Count does not determine coverage, dependence, or suitability for a task. The spacing statistic answers one specific question.

Enter live exhibit →
Fibonacci sphere and equal-area disk, 1536 sites
Fibonacci shown · low spacing variation is one property, not an overall ranking
02

SAME SHADOW

Same projection. Different bodies.

Frozen
one silhouette
Free
Prism · Grade · Well

occupancy from a projection

What did the view discard?

A single projection hides occupied depth. Turn the body, then return to the canonical face to recover the invariant.

Enter live exhibit →
Occupied depth sections of the three bodies at y equals zero
Section at y = 0 · identical occupied x extent · Well’s enclosed cavity is visible
03

SAME EARTH

Same planet. Different frames.

Frozen
one sampled surface
Free
Globe · Mercator · Equal Earth

measure vs shape

What did the projection change?

The sphere is the reference surface. Its globe view is an orthographic projection too; Mercator and Equal Earth make different local trade-offs.

Enter live exhibit →
Same spherical disks in Mercator and Equal Earth
Same disks · seam clipping · independently fitted map panels
04

SAME SITES

Same generators. Different territory.

Frozen
seven generators
Free
Euclidean · Taxicab · Chebyshev

nearest-site territory

Who defined nearest?

The generators stay put. Changing the distance rule changes which generator owns each location.

Enter live exhibit →
EuclideanTaxicabChebyshev
Same seven sites · Euclidean, Taxicab and Chebyshev · native 360² rasters
05

SAME SAMPLES

Same samples. Different assumptions.

Frozen
one measured set
Free
Global · Local · Periodic

model / influence

What does one measurement control?

Inspect the response to a hypothetical +1 at one sample. The reach of that change reveals the assumption behind each interpolant.

Enter live exhibit →
Three reconstructions above, and response to a unit change at sample five below
Common axes within each panel · same measured values · different influence
06

SAME VOLUME

Same target budget. Different obligations.

Frozen
target mean density 0.40
Free
Carry · Conduct · Share

structure / allocation

What does better mean?

One target budget serves three objectives. The achieved mean is numerical and shown explicitly; lower compliance means better only for its named objective.

slow to form
Enter live exhibit →
CarryMech 1.00×Heat 213.90×ρ mean 0.40000ConductMech 4715.55×Heat 1.00×ρ mean 0.40000ShareMech 1.27×Heat 1.59×ρ mean 0.40001
Target 0.40 · achieved means 0.40000000 / 0.40000000 / 0.40001309 · local SIMP results
07

SAME MARGINALS

Same x. Same y. Different pairing.

Frozen
same x, same y
Free
Align · Oppose · Scramble

coupling

What did the separate lists lose?

The same x values and the same y values permit different pairings. Marginal information does not determine joint behavior.

Enter live exhibit →
Three pairings of the same x and y values
Same x and y lists · fixed pairing permutations · common axes
08

SAME AVERAGE

Same averages. Different groups.

Frozen
400 records · A 60%, B 40%
Free
Agree · Disappear · Reverse

aggregation / weights

Whose weights made the average?

Keep all 400 records and both pooled rates. Change group membership to make the within-group difference agree, disappear, or reverse.

Enter live exhibit →
Reversal: A leads pooled sixty to forty percent; B leads within both groups
Reverse grouping shown · identical pooled rates · exact integer counts
09

SAME MAGNITUDE

Same Fourier magnitude. Different structure.

Frozen
one Fourier magnitude
Free
Source · Borrowed · Scrambled

spectrum vs structure

What did magnitude leave out?

Phase carries structure that a Fourier magnitude array cannot recover. The three images use one shared grayscale.

Enter live exhibit →
SourceBorrowedScrambled
Three real reconstructions · one magnitude array · common linear grayscale
10

SAME LAW

Same rule. Different histories.

Frozen
update rule · domain · grid
Free
A · B · C

dynamics / prediction

What else does a prediction need?

A fixed update rule does not specify an initial state. Three nearby starts follow exactly the same rule into different histories.

Enter live exhibit →
Three exact trajectories at step 32 and their distances from the reference
Step 32 · ε = 2⁻⁴⁰ · below: distance from A, logarithmic scale
11

SAME MOVES

Same moves. Different place.

Frozen
six rigid motions · λ = 1
Free
Given · Reversed · Shuffled

rigid motion / composition

What did order change?

Every ordering shares its total rotation and length, but the endpoint depends on composition order. Turn scale λ changes the moves; zero makes them commute.

Enter live exhibit →
All 720 endpoints with given and reversed paths at lambda one
All 720 endpoints · Given and Reversed paths · λ = 1 · fixed equal-unit axes
12

SAME DIVERGENCE

Same sources. Different flow.

Frozen
source field ρ · witness flux
Free
Quiet · Slide · Spin

vector fields / underdetermination

What did the sources leave open?

Equal divergence and witness flux do not determine the velocity field. Added divergence-free components change curl, circulation and trajectories.

Enter live exhibit →
Quiet Slide and Spin velocity fields with identical source and witness square
Shared source and arrow scale · witness flux 1/π² · y increases downward, as in the live exhibit
13

SAME DEGREES

Same neighbors counted. Different worlds.

Frozen
12 vertices · degree 3 · 18 edges · positions
Free
Spread · Narrow · Apart

networks / reachability

Can every local count match while the network comes apart?

Send a pulse from one vertex. Three exact cubic graphs keep every degree at three while their routes and connected components change.

Enter live exhibit →
Same degrees: three networks after two hops from A
Source A, two hops · Spread reaches 8, Narrow 7, Apart 6 · every vertex has degree 3 · identical positions and 18 edges
14

SAME IMPULSE

Same push integrated. Different motion.

Frozen
applied impulse · oscillator · starting rest
Free
Early pulse · Broad push · Two pulses

forced linear dynamics

How much does the timing of a push matter?

Equal applied-force area does not fix a spring–mass–damper’s motion. Time the second pulse and compare peak displacement and the residual vibration at one shared instant.

Enter live exhibit →
Same applied impulse, different oscillator responses
Applied impulse 1 N·s in every case · two pulses 1 s apart · exact responses on fixed axes · residual envelope measured at 3 s
15

SAME EIGENVALUES

Same eventual stability. Different excursions.

Frozen
eigenvalues −1, −2 · start (0, 1) · units · norm
Free
k = 0 · k = 4 · k = 12

linear dynamics / transient growth

Does eventual decay mean a disturbance never grows?

The eigenvalues stay negative as coupling changes. With one fixed start, coordinate system, and norm, the state can first travel farther from zero before it decays.

Enter live exhibit →
Same eigenvalues, different transient norms
k = 0, 4, 12 · peak / initial norm 1.000×, 1.036×, 3.011× · fixed starting vector (0, 1), units, and Euclidean norm
16

SAME DISTANCES

Same distances. Different handedness.

Frozen
six distances; four labels; units
Free
Rotate · Best proper fit · Reflect

distance geometry

Can equal distances certify a proper rigid match?

A labeled tetrahedron and its mirror share all six edge lengths. Their opposite signed volumes forbid a proper rigid match: the certified best 3D RMS error is 1 unit, while reflection aligns them exactly.

Enter live exhibit →
Same distances, opposite handedness
The same six distances survive both panels. Left: the global rotation-and-translation minimum retains 1 unit of 3D RMS error. Right: reflection closes the gap. Both use the same projection and scale.
17

SAME RESIDUAL

Same residual size. Different error.

Frozen
matrix A · right-hand side b · residual norm 1 · units
Free
First axis · Diagonal · Second axis

linear algebra / conditioning

Does the same residual size promise the same solution error?

A unit residual rotates through one fixed linear system. The corresponding error traces a 100-to-1 ellipse; relative amplification varies from 1 to 100 while the condition-number bound stays fixed.

Enter live exhibit →
Same residual, different solution error
θ = 45° · relative residual 1.000% · relative error 70.714% · κ₂ = 100 · equal-unit circle and error ellipse
18

SAME FIT

Same fitted summary. Different structure.

Frozen
11 observations · summary at declared rounding precision · shared axes
Free
Quartet I · Quartet II · Quartet III · Quartet IV

statistics / regression diagnostics

What did the fitted summary leave out?

Anscombe’s four datasets share rounded means, variances, correlation and fitted coefficients. Their actual computed fits differ slightly, while their point arrangements and residual patterns differ visibly.

Enter live exhibit →
Anscombe’s quartet: matching rounded summaries, different structures
Anscombe’s quartet · 11 points each · lines round to y = 3.00 + 0.50x · actual fitted coefficients differ · variance y agrees at 1 decimal place