The Digital Whale

Section

Society

Connectivity, environment, money, and what is honestly known about long-run effects.

The largest questions have the weakest evidence. Connectivity and e-waste are measured reasonably well; emissions estimates rest on modelling with acknowledged gaps; the long-run social effects of these technologies have not been measured at all, because they have not happened yet. This section says which is which rather than smoothing them into one confident account. For a workplace-oriented example of technology measurement in practice, see productivity vs efficiency.

The long-run social effects of these technologies have not been measured, because they have not happened yet.

Evidence at a glance — every finding in this section, graded
ArticleFindings Strong / mixed / weak
Who is still offline
Three-quarters of the world is online, the remaining quarter is overwhelmingly poor and rural, and the headline count is a model output rather than a headcount.
6
The environmental cost of digital technology
The sector-level numbers are real and rising, but the per-activity figures that circulate most widely are modelled, and the most famous one was a unit-conversion error.
5
Shopping and money online
Online retail shares are measured well but not comparably between countries, while the evidence on manipulation and credit is strong on mechanism and thin on population-scale harm.
6
Technology and society, honestly assessed
Attitudes are measured shakily, the labour-market evidence describes robots rather than AI, and every forward-looking number in this subject is a model output.
5