Pseudo-Scientific Longevity Estimator

Calculate your estimated longevity based on five key metrics.

Potential Longevity Claimed: 39%

VO2 Max

55% of possible

Good

Strength

71% of possible

Good

Smoking

0% of possible

2ppd

Social
Connection

0% of possible

Extremely Isolated

Blood
Pressure

0% of possible

Pre-Hypertension

Age

Sex

Biological Sex:

VO2 Max

The single most powerful predictor of mortality/longevity

Good

Strength

The second most powerful predictor of mortality/longevity

Strength Measurement Options

Good

Smoking

There is only good data for tobacco smoking. There is likely to be some risk for both smokeless tobacco as well as non-tobacco smoking, but the quantification is unclear.

1 cigar = roughly 1 cigarette. Higher amount of total tobacco, but usually less/minimal lung inhalation.

If deeply inhaled, 1 cigar = roughly ¼ pack

1 bowl of hookah = ½ pack of cigarettes

How long does it take you to smoke the equivalent of 2 packs of cigarettes?

Smoking Frequency:

Social Connectedness

Interestingly, it seems that only the amount of connections (isolation) counts for longevity, not the subjective feeling of loneliness.

The subjective experience, of course, is deeply linked to your quality, and meaningfulness of life.

As an additional consideration, these numbers are likely to be underestimates, since the studies deliberately disregarded deaths from suicide and accident. If we include those numbers (and we probably should), the total "point" value here would be significantly higher.

Social Connectedness Options
Do you interact (by any direct, 1-on-1 medium, including: e-mail, telephone, or face-to-face) more frequently than once per month with:

Extremely Isolated

Blood Pressure

MAP (Mean Arterial Pressure) is a way of combining Systolic Blood Pressure (the top number) and Diastolic Blood Pressure, into a single number, by adding ⅓ of the SBP with ⅔ of the DBP, since the heart spends roughly 1/3 of the time in systole.

Pre-Hypertension

Why Not Sleep?

Many people think sleep is a longevity factor. I'm not convinced (yet).

My view on sleep is somewhat complex, but in the current climate, I end up being a bit of a renegade. Everyone talks about the importance of sleep, but there's a ton of misinformation out there. A lot of popular information is hype and has created a culture in which many people just *can't believe* that sleep isn't a mortality factor. But, consider this.

The main, commonly cited studies are simple surveys asking people how long they slept on average. We're still waiting on a new generation of studies using sleep tracking data. But even in these studies, most of them show a u-shaped curve (with gender differences - women seem more resistant to the effects of short sleep than men). citation.

You can also check out this meta-analysis showing how small the likely effect size is, especially for short sleep. citation.

As you can see, while those studies did show a correlation (NOT causation) between shorter sleep and mortality, it wasn't huge - the real huge effect was between *long* sleep and mortality. And, these studies aren't randomized or controlled, like so many longevity topics, so there's the constant issue of confounding. Here's a study showing that once you adjust for physical activity, the supposed mortality/longevity issues around sleep disappear. citation.

Now, where the data for sleep seems more interesting is its effect on muscle building and the importance of sleep for developing muscle and strength. So even though sleep contributes, the real *metric* to track isn't sleep itself, but muscle - if you aren't sleeping well, but you're still able to develop muscle, then in my opinion, sleep itself isn't a mortality factor.

Citations:

  • VO2 Max

  • VO2 Max Norms

  • Strength

  • Strength Independent of VO2 Max

  • Smoking

    Smoking types and equivalencies

  • Social Connections

    This is a complex issue. Frankly, it is nearly impossible to ethically obtain definitive *causal* information on the health effects of social connections. We cannot randomly assign groups of people to a life of isolation. However, we are working on randomly assigning isolated people to interventions that increase social connectedness, and those seem to have promising improvements in mortality. For that reason, I elected to include it here, though the science is still far from definitive.

  • Blood Pressure Meta-Analysis

    For what it's worth, I am being a bit generous in my formulation of blood pressure as a mortality risk factor based on the study above (2009 meta-analysis). In reality the evidence is somewhat worse, since several other studies and meta-analyses found **NO benefit** in overall mortality from treatment of blood pressure.

    Other BP studies:

“Because that’s what true health is – the freedom and the potential to achieve any goal, to chase any dream.”
— Dr. Zain Hakeem