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A Throttle Announced in Advance: Recording 30 Minutes of Northern Taiwan's Mobile Networks on 13 August

Measuring Taiwan's mobile network throttling drill

On Thursday 13 August, from 14:30 to 15:00 Taipei time (UTC+8), mobile networks in Keelung, Taipei, New Taipei, Taoyuan, Hsinchu City, Hsinchu County, and Yilan will be throttled for thirty minutes. The throttle is part of Taiwan's Urban Resilience Exercise, executed simultaneously by all three major carriers. Official announcements state that voice calls, SMS, and cell broadcast continue to work, and that high-bandwidth services degrade: video streaming, video calls, mobile payments, cloud sync.1 The NCC's advice for the window is to prepare in advance for going offline.2

Officials have described the depth of the throttle twice. On 20 July, Defence Minister Wellington Koo told the Legislative Yuan that speeds would drop to one percent of 4G and 5G capacity. After the central Taiwan drill on 10 August, the Executive Yuan described the method: carriers apply rate limiting in the core network, capping mobile download speeds at 256KB. The two statements are of the same order, and either one gives a figure to expect when the measurements come in.

The date, the window, the seven counties, the three carriers: every boundary of this throttle is public before it runs. Studies of network throttling rarely get that. In most cases users notice slowness first and researchers reconstruct the timeline afterwards, leaving the edges fuzzy. Pre-announced shutdowns are not new elsewhere, exam-period national shutdowns being the familiar example.6 On the publicly documented record, a pre-announced throttle is less common, particularly one with per-carrier granularity.

During the same window at the central Taiwan drill on 10 August, Taiwan's OONI observations contained no performance measurement from a mobile network at all. The northern drill is the last of this year's exercise, so after 13 August the opportunity does not come round again.

If you are in one of those seven counties, your phone is going to slow down for that half hour regardless. Rather than just waiting it out, you might as well leave a record behind.

Defending the Public's Right to Know: A Sinophone Asia-Pacific Reading of OONI in Practice

This post sits alongside Tor Project's spotlight series article on OONI. The body below summarises what the original covers and then maps the same workflow onto Sinophone Asia-Pacific — the section the original does not cover, and the main contribution of this post.

For the full narrative on Kenya's High Court case, Tanzania's follow-up litigation, Meduza's public-education framing, and the supporting cases from Egypt, Jordan, and India, please read the original:

Visual header for the Tor Project 'Defending the free internet' spotlight series, featuring OONI
Image source: Tor Project Blog.

Editorial note: This is a companion post for English-speaking readers. The original article, by Maria Xynou (OONI), was published on the Internet Society Pulse blog and reposted on OONI's blog. Please read it there. anoni.net Docs is reposting a short summary here, alongside translations into Traditional Chinese and Simplified Chinese, plus a regional context section for readers in Chinese-reading regions.

What the original article covers

Maria Xynou's post is a concise overview of how Internet censorship is becoming harder to measure, and what OONI's data shows about how it is evolving. The main points:

  • Censorship is rarely binary. Confirming a block is not just "up" or "down". False positives are common, methods range from DNS manipulation and IP blocking to throttling and forged responses, and the same site may be blocked on one network but reachable on another.
  • OONI's approach. Open measurement methodologies, control measurements, a probabilistic pipeline (OONI Pipeline v5) that classifies results as "blocked", "down", or "OK" with confidence estimates, and crowdsourced data from volunteers running OONI Probe on their local networks.
  • Seven evolving trends. Globalization and normalization of censorship beyond the usual suspects, short-term targeted blocks around political events, long-term systemic suppression of marginalised communities, less transparent censorship in an encrypted web (TLS interference via DPI, no block pages), throttling and degraded service as subtler control, attacks on privacy technologies (encrypted DNS, ECH), and the rise of national intranets and allowlisting approaches.
  • Measurement enables advocacy. OONI has been part of the #KeepItOn campaign since 2016, and OONI data has supported legal and policy interventions in Gabon, Tanzania, Nepal, Togo, Mozambique, Pakistan, Kenya, and others.
  • Scale. Over 3 billion measurements from 30,000 networks across 245 countries and territories since 2012, with tens of millions of new measurements added every month.

Please read the original for the full argument, all the supporting links, and the country-specific examples:

OONI is guarding its data against bad measurements — what that means if you build on it

We build on OONI's public dataset. Our own work tracks how well Taiwan and the wider APAC region are actually observed in that data, and our Run v2 census mapped how the whole Run v2 ecosystem gets used. So when OONI published a long engineering post on [how it detects and mitigates faulty measurements]1 — alongside a new anonymous-credential system now rolling into production — we read it not as OONI insiders but as people downstream who use this data to make claims about a thinly-observed part of the world.

Here is what stands out from that seat.

OONI Run v2 usage census

Worldwide, OONI Run v2 has produced 14.17 million measurements, and just three lists account for 72% of them. The highest-volume lists all work the same way: each one targets a single censorship or blocking phenomenon, and a continuously-running measurement backend executes it on a schedule, accumulating data over time. We surveyed every Run v2 link to measure how concentrated this is, and to draw out what the pattern offers communities that want to run their own local connectivity observation.

OONI (the Open Observatory of Network Interference) is a global censorship-measurement project. Its mobile app, OONI Probe, runs through a list of websites and reports whether each one is reachable from where you are. OONI Run v2 lets anyone compose their own list of sites to watch, generate a link, and have others run that list with one tap in OONI Probe, with every result flowing into OONI's public dataset. You can define your own measurement targets without writing code, yet few people know the feature exists or have used it, which is exactly why we wanted to see how it is actually used.