Demo 1 — Isolation and Loneliness Are Two Axes
Objective social isolation (how few contacts a person actually has) and subjective loneliness (how much a person feels the lack) are related but separable. Move the two sliders to place a person on the plane and read off which quadrant they fall in — including the two off-diagonal cases the single word "isolation" hides.
Isolated but content. Objectively few contacts, yet the person does not feel the lack — a solitary life that suits them. Objective isolation still carries some health risk here even without distress.
Demo 2 — Odds Ratio to Absolute Risk
An epidemiological odds ratio multiplies the odds of an outcome, not its probability. Set a baseline mortality risk and the isolation odds ratio, and watch the correctly converted absolute risk (rust) diverge from the naive reading that just multiplies the probability (grey). The gap widens as the baseline rises.
A baseline risk of 20.0% under an odds ratio of 1.29 gives a corrected absolute risk of 24.4% — an increase of 4.4%. Treating the odds ratio as a risk multiplier would wrongly suggest 25.8% (5.8% up), overstating the harm by 1.4% of absolute risk.
Demo 3 — Social Ties and the Mortality Gradient
In the Alameda County cohort, mortality rose steadily as the number of social ties fell — a graded dose–response, not an all-or-nothing threshold. Set the number of ties and watch both the network and the stylised relative-mortality curve respond.
With 2 social ties, relative mortality sits at about 1.60× that of the most-connected group. Each tie removed lifts the curve a little more — the hallmark graded gradient rather than a single cliff edge.