The internet is so full of explanations for how small dominos can topple bigger ones it's got the Google Search AI convinced it's physically impossible for big dominos to topple small ones.
![Search: toppling big domino toward smal
AI answer:
A small domino cannot topple a larger one in reverse (from big to small through a standard chain reaction because a falling large block simply overpowers or misses a smaller target without transferring the necessary cascading trigger
Most users on Reddit agree that the amplification effect onlv works in one direction- from small to large-because settina each larqer domino upright stores gravitational potential energy that the previous small block releases. Going backwards from big to small lacks this stored potential-energy buildup in the smaller targets. YouTube: Stephen .. +1
The Physics of Scale
Energy Storage: Upright dominoes hold gravitational potential energy; a fall acts merely as a trigger to release what is already stored in that specific block. Reddit
The 1.5x Rule: Moving from smal to large allows each piece to be roughly 1.5 times larger than the previous one, amplifying force exponentially. Business Insider +1
Reverse Failure: A large falling block toppling toward a smaller one fails because the center of mass of the bia domino strikes below or completelv overshoots the tinv center of gravity of the small one, breaking the proportional transfer of momentum.
A professor demonstrates how the domino amplification effect works in reverse anc forward scales:
[Video link]
Would you like to know how many dominoes it would take to scale up to the size of a building, or are you looking for help with a specific physics problem?](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:wwxyzknmxaan4psyyqv3dgw6/bafkreigxt62finrk4ajldpx5im6w7klkhbq45witcvi6nnvzzsz7zxitw4)
Max Papillon
@maxpapillon.bsky.social
500 followers 626 following 250 posts
Linguistics PhD. No one is free until everyone is free. he/him 🟨⬜️🟪⬛
![[Screeshot from a cbc news article which reads:]
When asked by reporters in Ottawa today about the post from Hegseth, Prime Minister Mark Carney said the message was "beneath their office."
"When the Americans stop doing memes, stop throwing shade, stop trying to be tough and start being serious about having the discussions, we can have those discussions," he said. "But it's not constructive, but that's their democracy."](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:wwxyzknmxaan4psyyqv3dgw6/bafkreifneoy6dobs7wupjcc6o4boibdglbciunh2tmjcifvqkwwk2sjybq)
![Screenshot from the paper showing a paragraph of text, a figure, and the figure's caption.
Text: Frequency analysis was completed on the trimmed recordings using the linguistic software Praat, version 6.1.55 (http://www.praat.org, accessed on 1 November 2021 [79] to obtain the mean wingbeat fundamental frequency for each individual recording. Pitch analysis settings were set to a Gaussian window: window length 6/75 (0.08 s), with a silence threshold of 0.01, a voicing threshold to 0.5, a voiced/unvoiced cost at 0.01, the pitch range set to 100 to 350 Hz, and autocorrelation was selected as the analysis method. The entire spectrogram was highlighted to obtain the mean fundamental frequency for each recording. Visible pitch contours were extracted for each individual recording and provided information on the number of valid (voiced) frames, estimated spreading at the 84% median, and range. Trimmed audio recordings of less than 1000 valid frames were discarded and not included in the analysis (Figure 1).
[Figure shows a diagram starting from of a raw .wav file, illustrared by a spectrogram. From the spectrogram an arrow to "pitch detection", then arrow to a box titled "mean fundamental frequency / wingbeat frequency", illustrated with a classic waveform & spectrogram combo from Praat, and a spectral slice laveled with a fundamental frequency and harmonics.]
Caption: Figure 1. Overall methodology showing transition from raw recording to determination of mean wingbeat frequency for an individual specimen. Example shown is for male C. dubia.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:wwxyzknmxaan4psyyqv3dgw6/bafkreihexz4gxyuipb2hlqge44kmh52qphimcmxm62w7cfp6tc5wlu4bum)
![Screenshot of the word sunset.
The AI overview shows three images of sunset and then says the following before trailing off:
Sunset refers to the daily disappearance of the Sun below the Earth's horizon caused by the planet's rotation.
In [redacted] today's sunset occurs at approximately 9:24 PM [redacted]. Because of your northern latitude during June, your days are long, bringing extended evening daylight and](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:wwxyzknmxaan4psyyqv3dgw6/bafkreid56mlbbunn5aj5pknwgs4meb3bxsfldlp6tywrxapyv3fnzqbrdu)
![Screenshot of John McCarthy's wikipedia page. A picture of him is at the bottom. The text reads as follows:
John McCarthy (September 4, 1927 – October 24, 2011) was an American computer scientist and cognitive scientist. He was one of the founders of the discipline of artificial intelligence.[1] He co-authored the document that coined the term "artificial intelligence" (AI), developed the programming language family Lisp, significantly influenced the design of the language ALGOL, popularized time-sharing, and invented garbage collection.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:wwxyzknmxaan4psyyqv3dgw6/bafkreiezrw3ogbtahtf6vxlhbowp4fipnlw4qvbcel6jm5y33kb7hwnce4)
![Screenshot of John J. McCarthy's wikipedia page. A photo of him is at the bottom. The text reads:
John Joseph McCarthy (born 1953) is an American linguist and the Provost and Senior Vice Chancellor for Academic Affairs at the University of Massachusetts Amherst since July 2017. In July 2018, he assumed office as the Provost.[1]](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:wwxyzknmxaan4psyyqv3dgw6/bafkreihhh6jje6nuzff7xpjh26kh2ct25jivrqdedo4kzshdxbrq5fehpm)
