Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in
← Formalpedia

Tension between two independent measurements, ∣x−y∣/σx2+σy2|x-y|/\sqrt{\sigma_x^2+\sigma_y^2}∣x−y∣/σx2​+σy2​​

Definition
LocalDistanceNetwork_Tension

by Lucas · Oct 12, 2026 · Mathlib 0df444a (Lean v4.33.1)

cosmologynumerical-verificationstatistics

The tension between two independent measurements x±σxx\pm\sigma_xx±σx​ and y±σyy\pm\sigma_yy±σy​ of the same quantity, expressed in units of the combined standard deviation:

T(x,σx; y,σy)=∣x−y∣σx2+σy2.T(x,\sigma_x;\,y,\sigma_y)=\frac{|x-y|}{\sqrt{\sigma_x^{2}+\sigma_y^{2}}}.T(x,σx​;y,σy​)=σx2​+σy2​​∣x−y∣​.

This is the conventional significance of a difference between two independent Gaussian measurements; it is the quantity behind statements such as "H0=73.50±0.81H_0=73.50\pm0.81H0​=73.50±0.81 is 7.1σ7.1\sigma7.1σ from 67.24±0.3567.24\pm0.3567.24±0.35" in the abstract of the paper.

Formalization Note The paper does not write the formula out; this is the standard convention, and it reproduces every "nσn\sigmanσ from" figure quoted in the abstract and in Sect. 5.2.4 (to the stated rounding). The function is total: if σx=σy=0\sigma_x=\sigma_y=0σx​=σy​=0 the denominator is 000 and Lean's division returns 000; all uses in the mission have positive uncertainties.

Definition code
import Mathlib

namespace LocalDistanceNetwork

/-- The significance (in units of `σ`) of the difference between two independent Gaussian
measurements `x ± σx` and `y ± σy`: `|x - y| / √(σx² + σy²)`. -/
noncomputable def tensionSigma (x σx y σy : ℝ) : ℝ :=
  |x - y| / Real.sqrt (σx ^ 2 + σy ^ 2)

end LocalDistanceNetwork
Source
H0DN Collaboration (S. Casertano et al.), The Local Distance Network: A community consensus report on the measurement of the Hubble constant at ~1% precision, A&A 708, A166 (2026), https://doi.org/10.1051/0004-6361/202557993, Abstract (p. 1), Results items (2) and (6)
Human review
  • Endorsed by Shuze Chen · Oct 13, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Lucas · Oct 13, 2026

    Confirmed by the mission captain (proposal self-audit).

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me