This article is not intended to "debunk" any specific claim, but to present information on the Facebook page of AE911Truth - as per yesterday, August 28th 2019. They today have over 500,000 "Likes" - quite a feat in a "9/11 Truth" world that nowhere attracts more than 25,000 followers (as measured by signatures, members, "likes"). AE911Truth created their Facebook group on February 28, 2009 - 10.5 years ago: Architects & Engineers for 9/11 Truth (on Facebook) I have been keeping a tally of the "Likes" to this page since about December 2014. I have started to tabulate the "Likes" number almost daily on April 1st, 2015. Before that, I have occasional records - here is a graph of my 13 datapoints between February 2009 and April 1st, 2015: You see that, in the first 3 1/2 years, they got 88,725 signatures - about 70 per day - and after that, the curve was steeper at about 120/day. Probably what you could expect, seeing that Facebook was growing in popularity. Note that from March 13 to March 14, 2015, they lost 10,456 signatures in one single day. I have no idea what happened then. An intervention by Facebook? Of a general nature, or targeting AE911Truth and similar pages? One can only speculate. A similar, but not as big, short-term loss occurred between April 13 and 16, 2017 (-2096). I am maintaining a spreadsheet (with LibreOffice Calc), where I manually jot down the date and the number of "Likes" at that moment, and compute the resulting "Likes/day" and "annual growth rate in %". This occurs at somewhat irregular intervals: Between April 2015 and January 2016 I recorded the Likes almost daily (I skipped the occasional day when e.g. internet or computer was down, or a week when I was on vacation). Average time interval was 1.06 day, maximum interval 8 days. Between February 2016 and Mid-March 2018 I slagged - I had intervals between datapoints averaging 3.5 days, with a maximum of 15 days. Since Mid-March 2018, I am back to an "almost daily" routine, with average intervals of 1.05 days, and max 5 days. Note that I do not put down the number at the same time on the clock every day! I usually do it late in the evening here in Germany, say 10 to 11 p.m., but sometimes it's after midnight, sometimes late in the afternoon. I keep a separate table for each month, to which I copy the records for each 1st of the month - or the nearest date, if I skipped the 1st. Again, I compute "Likes/day" and "Annual %". Here is a simple graph showing how the number of "Likes" has developed, month by month - total number: My monthly tallying began actually on January 1st 2015. I include the 1-day dip of March 13, 2015. You see already that the curve was rather steep, with varying gradients, between August 2015 and October 2016 - and since then, it's been going stepwise: Several months of shallow gradients and short 2-months steps of high gradient. This graphs shows the resulting "Likes/day" on a monthly average basis: Note that the curve before 2015 is of little value, as the time intervals vary greatly. The years from late 2014 to September 2016 show great ups and downs - which I have never been able to correlate with anything, but since October 2016, patterns emerge among the randomness. A closer look at the fine data reveals what I mean. The next graph shows the actual "Likes/day" as finely granulated as I have them, i.e. almost daily for much of the scope: I want to point out the following features: The 9/11 anniversaries: There are very high, very short peaks at the same dates every year: Between about September 10 and September 14. I'll show you detailed graphs for each September below in thumbnails. This one's obvious: Both the general interest and AE911Truth's own marketing efforts peek around 9/11 each year. There is also always a sharp peak at or around the 1st day of the year. I have no explanation for that. Most of the time, the curve meanders randomly about some low baseline, which occasionally even dips slightly below zero for periods of time. These periods are mostly confined to a range between -50 and +100 Likes/day. And then, there are two periods, each 65 days long, where suddenly, from one day to the next, the low random walk explodes to a whole new level. Each time, the first full day of such a period sees the local maximum: +1,899 on 12/18/2017, and 1864 on 10/02/2018. After that, these periods fluctuated at levels between 250 and 600 (Dec 2017/Jan18) and between 600 and 900 (Oct/Nov 2018). Then, as suddenly as the frenzy started, it drops from top to zero from one day to the next. These thumbnails show the Septembers of 2015, 2016, 2017 and 2018: In these years, the 4 days from the 11th to the 14th of September had the following total new Likes: 2015: 3,194 2016: 2,367 (only 11th to 13th) 2017: 1,109 2018: 1,537 Same for the New Years of 2016 through 2019: These graphs are not as obvious as the Septembers. Some explanations: 2016: The y-scale goes to 3000, to capture an extraordinary peak on January 15th. Its 2256 Likes were the record high for a single day I recorded so far, and it was followed by 1,639, 966, 835, 719, 701, 474 and fading into the around-300 range. I'll have to go back later and figure out what that was. Anyway, the peak for the beginning of January at 560 comes on Jan 3rd, and it looks small to that scale, but is a local maximum. 2017: Unfortunately, I only have a data point for the first 7 days of January 2017: That was +1,774 for 7 days. This could well hide a sharp, genuine peak. It's still a local maximum, the last time that this value of 253/day had been exceeded before was 70 days prior, and the next time this value would get exceeded was the next September 11th. 2018: This is in the middle of a 2-months period of very high traffic, but still comfortably a local maximum, exceeded only by the first day of that high-traffic period. 2019: A clear, lonesome peak, distributed over 2 days. It's always possible that an event that occurs entirely within a day in, say, California, will be registered by me as being spread over 2 days - time zones! I can roughly estimate how many "Likes" those January 1st peaks added to the general trend at the time, by subtracting the local baseline: 2016: +500 2017: +1,000 2018: +800 2019: +850 Now for the most interesting feature of them all the two 65-days periods of crazy increases. First, I'll thumbnail these two periods so you can appreciate the suddenness of their beginnings and ends: In both cases, the fact that there is a first "intermediate" day before the maximum peek aroun 1,900 can be attributed to the fact that, whatever happened there, began during a day, and that first day may have captured only some hours of the sudden activity burst. Same goes for a single step down at the end. Rather obviously, some activity was "switched on", and 65 days later "switched off". Here is the effect this had in a more broad picture - I segmented the era since October 21st, 2016 (when an period of low activity began) into 5 segments, bounded by these 6 dates / values: 10/21/2016 : 407,995 12/15/2017 : 420,402 - 420 days of low activity, +12407 02/18/2018 : 448,033 - 65 days of high activity, +27,631 09/30/2018 : 454,056 - 224 days of low activity, +6,023 12/04/2018 : 502,667 - 65 days of high activity, +48,611 08/28/2019 : 507,510 - 267 days of low activity, ongoing, +4,843 In that era, which was 1,041 days long, they added 99,515 Likes - that's 96/day. Of these, 49% came in the second hot phase, 28% in the first hot phase, and the remaining 23% in the three cold phases. So 12% of the days got 77% of the "Likes". The hot phases had annual growth rates of 43% and 77%, respectively, while the cold phases had rates of 2.6%, 2.2% and 1.3% annually. We could subtract from the "cold" phases the peaks of Jan 1st and Sept 09 to arrive at a "base" performance: 1st low phase: subtract 1,100 and 1,000 = ca. 10,300 in 420 days = 24.5/day 2nd low phase: subtract 800 = ca. 5,023 in 224 days = 22.4/day 3rd low phase: subtract 850 = ca. 4,000 in 267 days = 15.0/day Now actually, for the last half year, since mid-February, the number of Likes has stagnated: +/- 0! There are shorter periods where the number steadily increases at rates between 1% and 4% annually, alternating with periods where the number steadily decreases at rates around 2% annually. It looks like this: It is peculiar that lately, the direction (up or down) has been maintained for periods of 25 days and more before turning to go the other way with equal steadiness. This doesn't appear to be random, but I have no explanation at this time. tl;dr Ok ok, that was lots of borring statistics. here is the quick takeaway: The AE911Truth Facebook page has existed since February 2009. It has received more than 500,000 "Likes" since then I have monitored this development from day to day since April 2015 In 2015 and until October 2016, the rates at which "Likes" came in were going up and down chaotically, but generally fast, mostly at rates between 100 and 500 per day. Since November 2016, Likes have, for most (88%) of the time trickeled in at under 25/day on average, with periods of sustained daily losses interspersed. There are notable peaks, adding on the order of 1,000 Likes, each year around the first day of the year, and around the 9/11 anniversary. While these peaks are very visible, they are only borderline significant, often contributing less than 5% of a year's "Likes" Occasionally, however, there comes a period, very suddenly, and goes as suddenly 65 later, when massive numbers of Likes flow in - often more than 500/day - these account for more than 3/4th of all new "Likes" in the last 3 years. Personal Conclusions It is my conviction, though I have no independed evidence, that these 65-day bursts are caused by direct action, most likely on the part of AE911Truth, or affiliated parties. Such action might be the purchase of major ad campaigns from Facebook (you pay money so Facebook shows your page to millions upon millions of people that Facebook thinks might like your kind of page). It could also be that AE911Truth (or someone acting on their behalf) purchases the services of bot farms (borderline legal - usually a breach of Facebook standards) that induce live accounts, or fake accounts, to "Like" AE911Truth. These campaigns are time limited, and may have certain goals in mind. It is noteworthy, for example, that the era of "low" activity started in October 2016 shortly (4 weeks) after they had surpassed 400,000, and the most recent "hot" phase ended just 3 days after reaching 500,000. It alone had added close to 49,000 Likes in a little over 2 months. I do not accuse AE911Truth of wrong-doing. It is certainly legitimate and normal to invest in advertising to increase visibility and followership on social media. I am however arguing that AE911Truth sees very little organic growth - members telling other members, etc. Lately, it seems the baseline even seems to have been turning to negative growth.