DAYWEEKYEARLIFE
PROJECT
Perspective Clock
CALC SHEET — LIFE VIEW · LIFE · AGE 35.43/80.00
OBSERVED
09:41:07
WED 2026-07-22 · GMT+12
CHECKED
NEVER ✓
SEE NOTE, SEC. 6
1Estimated span — derivation
BASELINE — SEX: MALE78.0
REGION — W. EUROPE / OCEANIA+1.0
SMOKING — NEVER+0.0
EXERCISE — WEEKLY+1.0
SPAN = max(AGE+1, min(105, Σ))80.0 YR
2Current state
AGE = (2026-07-22 − 1991-02-17) =12,939 D = 35.43 YR
ELAPSED = 35.43 / 80.0 =44.2836045%FLOORED, NEVER ROUNDED UP
REMAINING =T-44.57 YR
CELL = WEEK1,848/4,174ONE CELL PER ISO WEEK
3Fig. 1 — the grid, for reference
FIG. 1 — 4,174 WEEKS · LIVE WEEK IN CHECKING RED · ● RECORD ✱ ESTIMATE ◇ PROBABILITY ◆ CROSSROAD
4Moments — each shown with its working
01✓◆ The exam that redirected me
A FORK IN THE PATH — RECORDED ⇒ 2008-11-15 (17Y 8M AGO · AGE 17.7)
At 17 I got the news I'd failed an exam, and it changed which university I went to. Without it I'd never have met my wife, made the friends I have, or built the career I did. Nearly everything since traces back through this one week.
02✓● The day we met
RECORDED ⇒ 2010-04-08 (16Y 3M AGO · AGE 19.1)
The day I met my wife. Everything since is on this side of it.
03✓● The day we married
RECORDED ⇒ 2021-02-13 (5Y 5M AGO · AGE 30.0)
The day I married my wife.
04✓● My son was born
RECORDED ⇒ 2023-10-30 (2Y 8M AGO · AGE 32.7)
The day my son came into the world.
05→✱ Longer with my wife than without
MET + (MET - BIRTH) ⇒ 2029-05-28 (IN 2Y 10M · AGE 38.3)
From this week, more of my life has been spent with my wife than without.
06→✱ Halfway
BIRTH + EXPECTANCY / 2 ⇒ 2031-02-16 (IN 4Y 6M · AGE 40.0)
The midpoint of my estimated span — as much behind me as ahead.
07→✱ My son picks friends over me
BIRTH + 13Y — PEER ORIENTATION, EARLY ADOLESCENCE (12-14) ⇒ 2036-10-30 (IN 10Y 3M · AGE 45.7)
Around here my son starts turning to friends first, and I stop being the daily centre of their world.
08→◇ One parent likely gone
GOMPERTZ-MAKEHAM, NZ PERIOD TABLE, INDEPENDENT — P >= 0.50 ⇒ 2039-06-22 (IN 12Y 11M · AGE 48.3)
By this week, it is more likely than not that I have lost at least one of my parents.
09→✱ My son turns 18
BIRTH + 18Y ⇒ 2041-10-30 (IN 15Y 3M · AGE 50.7)
My son becomes an adult.
10→✱ My son leaves home
BIRTH + 22Y — NZ/AU MEDIAN AGE LEAVING HOME ⇒ 2045-10-30 (IN 19Y 3M · AGE 54.7)
My son likely moves out around now — 12% of the years spent living at home are already behind us.
11→◇ Both parents likely gone
GOMPERTZ-MAKEHAM, NZ PERIOD TABLE, INDEPENDENT — P >= 0.50 ⇒ 2050-05-22 (IN 23Y 10M · AGE 59.3)
By this week, it is more likely than not that both my parents are gone.
12→✱ Married longer than single
MARRIED + (MARRIED - BIRTH) ⇒ 2051-02-10 (IN 24Y 6M · AGE 60.0)
From this week, I have been married for more of my life than I was single.
13→◇ Almost certainly no parents
GOMPERTZ-MAKEHAM, NZ PERIOD TABLE, INDEPENDENT — P >= 0.90 ⇒ 2058-12-22 (IN 32Y 5M · AGE 67.8)
By this week, there is a nine-in-ten chance both my parents are gone.
14→✱ The age Dad is now
BIRTH + PARENT'S CURRENT AGE ⇒ 2059-02-17 (IN 32Y 6M · AGE 68.0)
I turn 68 — the age Dad is right now.
15→✱ My last good years
WHO HALE AT BIRTH, NZ ~70Y ⇒ 2061-02-17 (IN 34Y 6M · AGE 70.0)
Around here the healthy years typically run out; what comes after is usually lived with something wrong.
16→✱ The estimate runs out
BIRTH + EXPECTANCY ⇒ 2071-02-16 (IN 44Y 6M · AGE 80.0)
The end of my estimated span. The grid stops here.
5Residence schedule
Wairarapa1991–200918.0 YR
Wellington2009–20199.8 YR
Travelling20190.2 YR
London2019–20212.0 YR
Auckland2021–now5.4 YR
OVERLAY: ON — FIG. 1 IS TINTED BY RESIDENCE · [P] TOGGLES
6Mortality model — parameters as used
μ(x) = A + B·eθx
S(x) = exp(−A·x − (B/θ)(eθx − 1))
Gompertz–Makeham hazard, shaped to Stats NZ period life tables 2020–22. Drives every ◇ probability above; nothing else uses it.
| A | B | θ |
| MALE | 2.0e-4 | 2.0e-5 | 0.098 |
| FEMALE | 1.2e-4 | 1.0e-5 | 0.102 |
NOTES
These moments are arithmetic, not fortune-telling. Recorded dates are yours; everything else is a population-level curve — a Gompertz–Makeham mortality model fitted to modern high-income (NZ) life tables, plus a few coarse developmental averages — applied to people it has never met. Real lives miss these dates by years in both directions. Nothing here leaves this browser.
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