Mostly Machines

Copper engraving from 1783 of the chess-playing automaton known as the Turk, seen from behind: a turbaned figure seated at a wooden cabinet with its doors open.

This blog’s counter says 336,000 views. Most of them were not people. What three tools show, why they disagree, how to count better, and my own estimate of how many humans actually read here.

Essay · this blog · October 2026

Blogger tells me this blog has been read 336,000 times. The line on its chart sat near the floor for a decade, began to climb in 2023 and, this October, went almost vertical: 20,900 views in thirty days, with a single day of about 5,000 around the ninth.[1] For a blog that began in 2008 as a notebook and spent most of the 2010s as a runner’s diary, that looks like success.

It is mostly not. When I opened the other two tools that Google offers for a site like this one, Google Analytics and Search Console, the same four weeks looked very different: 880 views by 361 visitors, and about twenty clicks a month from Google searches. Somewhere between the two numbers are the people who actually read what is written here. This post is an attempt to find them, with my own numbers, their limits, and what can be done to count better.

The cover is the Turk, the chess-playing automaton that toured Europe from 1770: a machine that seemed to think, with a human chess player hidden in its cabinet. A blog counter is the reverse. It shows what look like readers, and inside most of them there is a machine.

Three counters

Three counters, three different questions

Blogger’s own statistics count every time a page is served. It does not matter who asked for it: a person on a phone, a search engine indexing the page, a company collecting text to train an AI model, or a program probing the site for weaknesses. All of them count as views. The page shows where visits came from, which browser and system they used and which country they were in, but it has no way of telling a person from a program that says it is one.

Google Analytics works differently. It counts a visit only when a small script runs inside the visitor’s browser, which most simple programs never do, and it removes traffic from bots and spiders that Google already knows about. That filter cannot be switched off, and Google does not say how much it removes.[2] Analytics also measures how long a page stays open and in front of the reader, which is the closest thing these tools have to “did anyone read it?”

Search Console answers a narrower question: how often Google showed a page in its results, for which searches, and how often someone clicked. It does not count visits from anywhere else, but what it counts is real.

The machines

Who the machines are

Bots are not peculiar to this blog. Imperva, a security company that watches traffic across many large sites, reported that in 2024 automated traffic overtook human traffic for the first time in a decade, at 51 per cent of all web traffic, and that bad bots alone made up 37 per cent.[3] A small blog, with few human visitors to dilute them, can expect a larger share.

Several things in Blogger’s figures for the last thirty days point the same way:

Where
Portugal, where most readers of a blog written largely in Portuguese live, had only 520 of the 20,900 views, 2.5 per cent. Ahead of it were Brazil, the United States, Singapore, the United Kingdom, Bangladesh, Argentina, Iran and Colombia. Over all time, Singapore (21,800), Germany, Russia and Hong Kong are also high. Singapore, Hong Kong and northern Virginia are where many of the world’s data centres are.
On what
Phones were about 12 per cent of the month’s views. In Portugal, phones and computers now split web browsing roughly half and half.[4] Linux and Unix, the systems that servers run, had over 2,100 views.
From where
20,000 of the 20,900 views arrived with no known origin. Over all time, the figure is 300,000 of 336,000. One of the named sources is referrer spam: a site that fakes visits so that its name appears in reports like this one and the owner clicks on it. I have left its name out, which is the only thing it wants.
When
The day of about 5,000 views around 9 October has no counterpart in Google Analytics, which saw nothing unusual that day; its busiest day of the month, 3 October, had about 100 views.
Three signs that most of Blogger’s views are machines Share of Blogger’s 20,900 views in the last 30 days. No known source: 95.7 per cent; From Portugal: 2.5 per cent; From phones: 11.6 per cent. In Portugal, phones account for 49.52 per cent of web browsing (StatCounter, September 2026). 0% 25% 50% 75% 100% SHARE OF BLOGGER’S VIEWS, LAST 30 DAYS No known source 96% From Portugal 2.5% From phones 12% Portugal’s web: 50%
Figure 1. Three signs that most of Blogger’s views are machines, last 30 days. “No known source” excludes the running blogs and Google. The marker shows the share of web browsing done on phones in Portugal in September 2026. Sources: Blogger; StatCounter.[1][4]

Part of the recent climb is probably the companies that collect text to train language models, whose crawlers have multiplied since 2023; how that text is then used is explained in How a Language Model Learns. A blog that published dozens of long essays in two months is a rich and fresh source. I cannot see from these tools which crawlers came, only that most of the views behave like machines.

The people

Who the people are

In Google Analytics, the four weeks from 30 September to 27 October show 880 views by 361 visitors, who spent an average of 1 minute 28 seconds with the blog. Most entered through the front page (214 views, 32 seconds each) and left. A few pages were read at length:

Floreiras servem para pôr flores
24 views by 4 visitors, almost 12 minutes each, spread over repeated visits.
The Paths Through This Blog
14 views by 5 visitors, 5½ minutes each.
The Warning Shot
22 views by 5 visitors, 4 minutes each.
Por onde a água vai
21 views by 9 visitors, 3½ minutes each: the widest real readership of any single post this month.
ITRA Performance Index (2025)
16 views by 14 visitors, 5 seconds each. They come from Google, find the number they were looking for, and leave.

Two pages show one visitor each, browsing a whole series: the Memórias label (19 views, 5 minutes) and the AI label (13 views, almost 5 minutes). That is what a real reader looks like. It is also what I look like, checking my own posts.

And a large part of that long reading, it turned out, was mine.

Search Console adds the view from Google: 59 clicks in the three months to 27 October, about twenty a month, and 369 pages in Google’s index. Its one recommendation was that a 2022 race report, on the Backyard Ultra World Team Championship, had suddenly been shown four times as often as usual. The running posts are still what strangers find.

And then there are the other running blogs. Eight of them, from ultkm to trilhos míticos, sent 770 views this month according to Blogger, through the lists of “blogs I follow” that show each new post. Over all time, Google sent about 20,800 visits and Facebook about 13,800. The 283 comments, none of them this month, are the surest sign of all that someone was there.

One month of this blog, counted four ways Bars on a logarithmic scale for 30 September to 27 October 2026. Blogger counted 20,900 views; Google Analytics 880 views; the estimate of views by real readers is 164 to 315; Google search sent about 20 clicks a month. 10 100 1,000 10,000 100,000 VIEWS IN FOUR WEEKS, LOG SCALE Blogger views 20,900 Analytics views 880 Human views, est. 160–320 Google search clicks ≈20
Figure 2. One month, four counts, 30 September to 27 October 2026 (Blogger: last 30 days). The scale is logarithmic: each step is ten times the previous one. The estimate is explained two sections below. Source: Blogger, Google Analytics, Search Console; own calculations.[1]
The author

The most faithful reader

Google Analytics can list its visitors one by one, each with a number that it also keeps in the visitor’s browser, in the small file called a cookie. Sorted by activity, two visitors stood far above the rest. Everyone else made at most 25 events in the four weeks; these two made 753 and 396.

The first had been placed in six towns in Portugal, some of them places I had not been to, so at first it did not look like me. The cookie in my own browser settled it: the same number. The second, which Analytics placed in Portugal without naming a town, began its visits on 27 October a quarter of an hour after the first stopped, while I was finishing a post. It was my phone.

My computer
100 visits, 291 page views, 2 hours 53 minutes of reading. First seen on 25 October 2025; by its own cookie, it has visited the blog 706 times since then, about twice a day.
My phone
51 visits, 164 page views, 4 hours 59 minutes of reading. First seen on 27 March 2026.
Together
151 of the 555 visits (27 per cent), 455 of the 880 page views (52 per cent), and about 7 hours 53 minutes of the 8 hours 49 minutes of reading time that Analytics recorded (89 per cent).
My own share of what Google Analytics counted in four weeks 30 September to 27 October 2026. Visits: computer 18 per cent, phone 9 per cent, together 27 per cent; Page views: computer 33 per cent, phone 19 per cent, together 52 per cent; Events: computer 30 per cent, phone 16 per cent, together 45 per cent; Reading time: computer 33 per cent, phone 56 per cent, together 89 per cent. 0% 25% 50% 75% 100% MY SHARE OF ANALYTICS, 30 SEP – 27 OCT Visits 27% Page views 52% Events 45% Reading time 89% computer phone
Figure 3. My two devices as a share of what Google Analytics counted, 30 September to 27 October 2026. Total reading time is approximate: the average per visitor multiplied by the number of visitors. Source: Google Analytics, User explorer and Pages and screens.[1]

The reading time is the striking number. Other visitors made most of the visits, but almost all the time spent reading this blog last month was spent by its author: checking a post after pasting it, rereading, looking up an older one through the search box. That is what a writer does in a month with dozens of new essays. It is also what made the long reading times in the table above look like an audience.

Who made the 880 views that Google Analytics counted 30 September to 27 October 2026. Me, computer: 291; Me, phone: 164; Data centres: at least 220; Everyone else: at most 205 views. THE 880 ANALYTICS VIEWS, 30 SEP – 27 OCT Me, computer 291 Me, phone 164 Data centres ≥220 Everyone else ≤205
Figure 4. Who made the 880 views that Google Analytics counted. “Data centres” are the visitors placed in Singapore, Ashburn, Reston and Hong Kong, at one view each; “everyone else” is what remains, before adding the readers Analytics cannot see. Source: Google Analytics; own calculations.[1]
An estimate

How many people, then

Starting from Google Analytics, because it is closest to counting people, I made three corrections, and one assumption for the whole history, each with a range rather than a single number:

Remove data centres
Singapore (145 visitors), Ashburn (63) and Reston (7), both in northern Virginia, and Hong Kong (5) are data-centre hubs, and their visitors are almost certainly programs that run a full browser. That takes out 220 of the 361 visitors, and between one and two views each.
Remove myself
Measured, not guessed: 455 views, from my computer and my phone, as shown above.
Add the invisible
Some real readers never reach Analytics, because ad and tracker blockers stop its script. About three in ten internet users say they use an ad blocker at least sometimes, though not all of them block Analytics.[5] I assumed that between 15 and 35 per cent of real readers are invisible.
All time
For the whole history I have no Analytics, only Blogger. There, visits from Google, Facebook and one other blog, the sources that are almost certainly people, add up to 35,400. Readers who arrive directly or through apps leave no trace of where they came from, so I assumed between 1.5 and 2.5 people in total for every one with a named source.
336,000
views counted by Blogger, all time
53–89K
of them by people, my estimate: one in six to one in four
20,900
views counted by Blogger in the last 30 days
160–320
of them by other people, by about 160 to 210 readers: about 1 per cent

So, in the busiest month in the blog’s history, somewhere between 160 and 210 people read it, opening between 160 and 320 pages: most opened one page, perhaps two, and left. That is about 5 to 10 page views a day. For a new essay that means, in its first weeks, between a handful and a few dozen readers. Since Blogger began counting, the blog has probably been read 53,000 to 89,000 times by people, most of them in the running years, when the share of machines on the web was smaller. These are rough numbers. The point is the order of magnitude: hundreds a month, not tens of thousands.

The limits

What the estimate cannot see

Each correction can be wrong in either direction, and some of the numbers disagree in ways I cannot yet explain.

Data centres are not only bots
People who use a VPN or a company network can appear to be in Singapore or Virginia. Removing those cities removes a few of them too.
Places are guesses
Analytics places visitors by their internet address, and in Portugal the guess can be a long way off: my own browser appeared in six towns, some of them places I had not been to. A data centre in Singapore or Virginia is a much safer guess than a small town, but it is still a guess.
My own visits, measured on two devices
The computer is identified by its cookie, the phone by the times of its visits. I may have read on other devices too. Analytics was not told to ignore me until now, and the filter that does so does not apply to the past.[6]
The running blogs do not add up
Blogger says other running blogs sent 770 views this month, but Analytics saw only 361 visitors in total, from every source. Either many of those clicks were also machines following links, or many of the people they sent block Analytics. The Analytics report on where visits come from should settle it.
Google, twice
Blogger counts 126 visits from google.com this month; Search Console counts about twenty clicks from Google searches. The difference may be Google Images, Discover or other Google services, or programs that claim to come from Google.
Different windows
Blogger’s “last 30 days” and the 28 days used in Analytics do not line up exactly. The difference is small next to a factor of twenty.
The all-time multiplier
The ratio of 1.5 to 2.5 people per named visit is the weakest assumption here. It is a guess, not a measurement, and it may have changed over the years.
Counting better

How to count better from now on

None of this can be corrected backwards. Google Analytics does not rewrite its history: its filters, by its own documentation, “do not affect historical data”.[6] What can be done is to make the next months cleaner.

1. Stop counting myself
The simplest way is Google’s own Analytics opt-out add-on, installed in each browser I use; it stops the Analytics script from reporting my visits on any network.[7] I installed it on 28 October 2026, in the browser on my computer; the phone is not covered yet. The alternative, a filter by IP address (Admin, Data streams, Configure tag settings, Define internal traffic, then turning on the filter in Data filters), needs the public address of each place I connect from. It is not the address the computer itself reports: commands such as ipconfig show the address inside the local network, which Google never sees. And home addresses change. To find out whether a frequent visitor is me, I open the blog, press F12 and type document.cookie in the Console: the number after GA1.1. in the _ga cookie is the one that Analytics shows for that browser in Explore, User explorer.
2. Stop Blogger counting me
Blogger has its own switch, separate from Analytics: the link “Manage tracking your own pageviews” at the bottom of the Stats page, which tells Blogger not to count visits from that browser. It has to be set on each device, the phone included, and it applies only from then on.
3. Read people, not views
In Analytics, Reports, Engagement, Pages and screens, with average engagement time per visitor next to the views. A page read for minutes by a few people says more than one opened for seconds by many.
4. Set the data centres aside
A comparison that excludes Singapore, Ashburn, Reston, Hong Kong and similar cities gives a rough human-only view, at the cost of a few real readers.
5. Know where they come from
Reports, Acquisition, Traffic acquisition, by source, shows how many readers came through Facebook, Google and the running blogs. It will answer the question about the 770.
6. Ask Google directly
Search Console shows the actual searches that led to each post, and how often each appeared without being clicked.
7. Keep Blogger’s count for what it is
Blogger’s number is still useful for comparing posts with each other, and as a measure of how much attention the blog gets from machines. A sudden jump there, with nothing in Analytics, is a crawler, not a success.
The long view

What the totals say over time

Blogger’s overview page adds a few numbers that help to see past this month.[1]

The wave is passing
September had 10,421 views; October, 19,443 in its first 28 days, on course for about 21,500. But the counter showed 263 views on 27 October and 234 by the afternoon of the 28th, about a third of October’s daily average. The surge came in waves, and the waves are ending. If the blog settles at about 250 a day, November will show some 7,500 views in Blogger, and almost none of the fall will be readers lost.
Real readership has hardly moved
Google Analytics recorded about 5,000 views in 2024, 4,000 in 2025 and 9,400 in the first ten months of 2026, before removing bots and my own visits. The rise of 2026 is mostly mine: my two devices made 455 views in the last four weeks alone, and if that is a typical month, something like 4,000 this year, with data-centre visitors adding perhaps 2,000 more. What is left is close to the earlier years. The readers who are not me now make roughly 160 to 320 views a month, or 2,000 to 3,800 a year. While Blogger’s chart went vertical, the human audience stayed at a few hundred views a month. Two months of new essays did not visibly change that, at least not yet.
Single posts are counted more honestly
The newest essay had 7 views in Blogger on its first day, a believable number, against about 690 a day for the whole blog in October: most of the machines seem to visit the front page, the lists and the archives. Single posts are not immune, though. The English version of the ITRA post, from January 2025, shows 3,910 views in Blogger, about 190 a month; Analytics saw 16 in four weeks.
The running years
The twenty most-viewed posts add up to 46,100 views. Eighteen are about running: the ITRA index, ultramarathons from Sydney to Madeira, the Xisto villages, the Pyrenees. One is a sailing trip to the Azores, and one an essay from 2025, whose count, like the English ITRA post’s, is probably inflated. Most of them gathered their views over a decade in which machines were a much smaller part of the web. They are the core of the 53,000 to 89,000 human views estimated above.

Seen over the whole history, the two counters tell different stories. Blogger’s line rises steadily from a few hundred views a month in 2011 to about a thousand in the running years, climbs again from 2023, and leaves the chart in 2026. Analytics, which only began counting in January 2024, moves between about 150 and 1,500 views a month: higher in the months when I published most and read most myself, and always far below Blogger. In 2024 it saw one view for every six that Blogger counted; in 2025, one for every eleven; in October 2026, one for every twenty-two. The readers who are not me sit lower still.

Views per month in Blogger since 2011, and in Google Analytics since 2024 Logarithmic scale. Blogger views per month, read off its chart: about 2011: 112 a month, 2012: 636 a month, 2013: 505 a month, 2014: 709 a month, 2015: 1,116 a month, 2016: 1,004 a month, 2017: 1,076 a month, 2018: 807 a month, 2019: 1,332 a month, 2020: 1,306 a month, 2021: 1,273 a month, 2022: 1,221 a month, 2023: 2,323 a month, 2024: 2,493 a month, 2025: 3,819 a month, 2026: 9,750 a month. Google Analytics, from January 2024: 4,993 views in 2024, 3,974 views in 2025, 9,412 views in 2026; readers other than the author made an estimated 164 to 315 in October 2026. VIEWS PER MONTH, LOG SCALE 100 1,000 10,000 2011 2014 2017 2020 2023 2026 Blogger Analytics other readers, Oct 2026
Figure 5. Views per month since January 2011, on a logarithmic scale. The Blogger line is read off Blogger’s own chart, one pixel of which is about 157 views, so the smallest months are only roughly right and the earliest sit at the bottom of what the chart can show; September and October 2026 are Blogger’s exact totals, October for 28 days. The Analytics line is read the same way off its own chart, from January 2024, when it began counting, and scaled to its reported total of 18,379 views; the point and bar are the estimate for readers other than me in October 2026. Sources: Blogger, Google Analytics; own calculations.[1]

Read backwards, the widening gap suggests that the early numbers were more honest than today’s. They were not the truth, though. In 2013 Incapsula, a security company later bought by Imperva, counted every visit to its 20,000 client sites over 90 days and found that bots made 61 per cent of them.[8] A year later it put bots at 56 per cent of visits overall, and at 60 to 80 per cent on smaller sites,[9] the group this blog, at twenty or forty views a day, belonged to. Not every one of those bots would have reached Blogger’s counter, but many did. Split by period, the estimate above says that between a sixth and three-fifths of Blogger’s views from 2011 to 2022 were people, against about one in twenty now. Closer, then, but not close.

Part of that rise follows the writing. I published about 128,000 words in 2025 and close to a million in the first ten months of 2026, eight times as much. The views in Blogger rose with the words: more pages, more for the machines to read. The readers and the comments did not.

Views in Blogger and words published, per year, 2011 to 2026 2011: about 1,340 views, 14,083 words; 2012: about 7,637 views, 29,990 words; 2013: about 6,064 views, 7,542 words; 2014: about 8,504 views, 17,474 words; 2015: about 13,386 views, 26,917 words; 2016: about 12,048 views, 14,653 words; 2017: about 12,913 views, 1,067 words; 2018: about 9,685 views, 17,652 words; 2019: about 15,985 views, 38,833 words; 2020: about 15,670 views, 20,597 words; 2021: about 15,276 views, 77 words; 2022: about 14,647 views, 31,346 words; 2023: about 27,873 views, 99,578 words; 2024: about 29,920 views, 123,309 words; 2025: about 45,827 views, 128,208 words; 2026: about 97,501 views, 995,911 words. 2026 runs to the end of October. VIEWS IN BLOGGER, PER YEAR 0 50K 100K WORDS PUBLISHED, PER YEAR 0 500K 1M 2012 2015 2018 2021 2024
Figure 6. Views in Blogger and words published, per year, 2011 to 2026 (2026 to the end of October). Views are the monthly readings of Figure 5 added up; words are the visible text of the posts published each year, without figures. Sources: Blogger; the blog’s public post feed; own calculations.[1]

The clearest sign of people, though, is the comments. Of the 283 on the blog, 217 were written by 69 other people and 66 are my replies. They are not spread evenly over time. Between 2011 and 2016 other people left 160 comments on 95 posts. Between 2020 and 2026 they left 17, on 390.

Comments by other people on this blog, per year, and posts per year 2008: 0 comments, 20 posts; 2009: 0 comments, 6 posts; 2010: 0 comments, 13 posts; 2011: 14 comments, 19 posts; 2012: 60 comments, 29 posts; 2013: 17 comments, 4 posts; 2014: 13 comments, 6 posts; 2015: 42 comments, 22 posts; 2016: 14 comments, 15 posts; 2017: 2 comments, 3 posts; 2018: 14 comments, 17 posts; 2019: 24 comments, 37 posts; 2020: 7 comments, 19 posts; 2021: 2 comments, 1 posts; 2022: 3 comments, 24 posts; 2023: 0 comments, 30 posts; 2024: 1 comments, 79 posts; 2025: 0 comments, 16 posts; 2026: 4 comments, 221 posts. COMMENTS BY OTHER PEOPLE, PER YEAR 0 20 40 60 2008 20 6 2010 13 14 19 60 2012 29 17 4 13 2014 6 42 22 14 2016 15 2 3 14 2018 17 24 37 7 2020 19 2 1 3 2022 24 30 1 2024 79 16 4 2026 221 posts published that year
Figure 7. Comments by other people on this blog, by the year they were written, and posts published each year. My own replies are left out. Source: the blog’s public post and comment feeds, 27 and 28 October 2026.[1]

My own reading of this is that people stopped following blogs, and now prefer shorter things. The years fit, though not neatly. The comments peaked in 2012 and 2015, when the blog was one of a circle of running blogs whose authors read each other and answered each other, and when a reader like Google Reader brought every new post to the people who followed it. Google closed Reader in July 2013, saying its use had declined.[10] The comments held up for some years after that, with good years in 2015 and 2019, and then faded. Since then, links to the blog have mostly travelled through Facebook, which has sent about 13,800 visits over the years; whatever conversation followed those links happened there, not here. And the move towards short video is measured: across the markets studied by the Reuters Institute, the share of people who watch social video for news each week rose from 52 per cent in 2020 to 65 per cent in 2025.[11]

There are fair objections. Long text has not lost its readers: the same survey finds that most people still prefer to read their news rather than watch it, 55 per cent against 31,[11] and Substack, which delivers long writing by email, passed five million paid subscriptions in March 2025.[12] The readers moved to the inbox and the feed more than they left reading. And the blog changed too. The race reports were written for a community that ran the same races and knew the people in them; the essays of 2026 are long, mostly in English, about economics, biology and AI, and arrive at a pace of several a week that few readers could keep up with, let alone comment on. Both things are probably true: the medium moved, and so did the blog.

Coda

Fewer, and real

The honest count is smaller than the one on the dashboard by a factor of about a hundred: fewer than two hundred and fifty people a month, most of whom open one page and leave, and only a handful who stay for minutes. The most faithful reader of all, this month, was me, on two devices. Some of them have been here since the training cycles and race reports, and still arrive through the lists on other runners’ blogs. Others find a note on the ITRA index through Google and never come back.

The machines are not without consequence. Some of them index the blog so that people can find it; others take its text to train the models that will answer questions in its place. But they do not read. A couple of hundred people who do are worth more than a counter that says 336,000, and the counter will be easier to believe next month, when I am no longer among them.

On method and tools

This piece was written collaboratively with Claude Opus 5.5 (Anthropic): human specification and editorial direction, and the screenshots of the three tools; machine analysis and drafting. The numbers were read from screenshots of Blogger statistics (all time and last 30 days), Google Analytics (home page and Pages and screens, 30 September to 27 October 2026) and Search Console (overview, 27 July to 27 October 2026), all taken on 28 October 2026. Blogger’s overview page (totals, followers and the most-viewed posts) was read on the same day, and comments were counted by year from the blog’s public comment feed, without naming the people who wrote them. The monthly series in Figure 5 were read off the charts of Blogger and Google Analytics, which offer no export of them, and checked against their reported totals. The estimates come from a script, scripts/readers.py, which holds those numbers and the assumptions stated in the text. The most frequent visitor was identified by comparing its number in Analytics’ User explorer with the _ga cookie in the author’s browser. The ad-blocker figure is the GWI survey as reported by Backlinko; the original report was not seen.

Cover: the Turk, from Karl Gottlieb von Windisch, Briefe über den Schachspieler des Hrn. von Kempelen, 1783, via Wikimedia Commons, public domain, cropped.

Authored by: Luis Matos Ferreira — Physicist, Developer, Writer

Related essays on this blog
  1. The Paths Through This Blog — eighteen years of posts, and the themes that run through them.
  2. Os Caminhos Deste Blogue — the same guide, in Portuguese.
  3. How a Language Model Learns — what the text collected from the web is used for.
  4. The Manufactured Public — fake audiences on a larger scale: influence operations and their bots.
  5. ITRA Performance Index — the post strangers find most often through Google.
Sources
  1. dorsal1967, Blogger statistics (all time; last 30 days), Google Analytics 4 (30 September–27 October 2026; calendar year 2025) and Google Search Console (27 July–27 October 2026), screenshots taken on 28 October 2026; own calculations in scripts/readers.py.
  2. Google, Analytics Help, “[GA4] Known bot-traffic exclusion”, retrieved 28 October 2026.
  3. Imperva, “2025 Imperva Bad Bot Report: How AI is Supercharging the Bot Threat”, 15 April 2025.
  4. StatCounter Global Stats, Desktop vs mobile vs tablet market share, Portugal, September 2026 (mobile 49.5 %, desktop 49.4 %), retrieved 28 October 2026.
  5. GWI, ad-blocker use among internet users, Q2 2025 (29.5 % use one at least sometimes), as reported by Backlinko, “Ad Blocker Usage and Demographic Statistics”.
  6. Google, Analytics Help, “[GA4] Data filters”, retrieved 28 October 2026.
  7. Google, Analytics Help, “Google Analytics opt-out browser add-on”; add-on at tools.google.com/dlpage/gaoptout.
  8. Incapsula, 2013 Bot Traffic Report, as reported by phys.org, “Incapsula reports that web bots now account for 61% of web traffic”, 13 December 2013.
  9. Imperva (Incapsula), “2014 Bot Traffic Report: Just the Droids You were Looking for”, 18 December 2014.
  10. Google, “Powering Down Google Reader”, Google Reader blog, 13 March 2013, as reported by Search Engine Land/MarTech, “Google To Close Google Reader On July 1”, 13 March 2013.
  11. N. Newman et al., Reuters Institute Digital News Report 2025, “Executive summary and key findings”, 17 June 2025.
  12. Tubefilter, “Substack surpasses five million paid subscribers”, 12 March 2025.

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