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im not saying we shouldn't be calling out hypocrisy but i do think it's important to be aware of what i call the Two Different Guys Fallacy. and that's that whenever you're thinking to yourself, oh how come X group claim they want this thing but also support that other incompatible thing. take a moment to stop and consider whether it could just be Two Different Guys that think each thing
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It's been a while since I last made a rec post, and it's been a slower year for hard-hitting Hong Kong cinema, but hello! I'm back and I have a film to talk about:
我們不是什麼 | We're Nothing At All (2026)
“當雪崩的時候，沒有一片雪花是無辜的。”
"In an avalanche, no snowflake is innocent."
We're Nothing At All is the latest film from director Herman Yau, a self-funded crime thriller starring Patrick Tam, Anson Kong, and Ansonbean. Loosely inspired by real historical events, the film kicks off when retired forensic investigator Lung-sir (Patrick Tam) is called back into the field to solve the mystery of a double decker bus explosion, which took place on the morning of Valentine's Day and killed everyone on board. As the investigation and plot unfolds, it is eventually revealed that the explosion was a murder-suicide, carried out by a young gay couple named Faizai (Anson Kong) and Ike (Ansonbean) who could see no other end to the ostracization they faced in society. We, the audience, know how this story will end from the beginning. It is important that this story is witnessed anyways.
We're Nothing At All is a sharp, focused snapshot on the widespread homophobia that still remains normalized in Hong Kong, as well as its intersections with class background, cultural gender norms, and sex work, which all affect how different individuals experience queerness. There were a couple narrative twists in directions I didn't expect this film to go, and despite the heavy, suffocating feeling it leaves you with, I found it refreshing that a director and creative team were willing to explore these themes so clearly in 2026. Some reviews call this movie too heavy-handed. In my opinion, given the discussions I saw in Hong Kong surrounding this movie, the thematic bluntness is necessary.
Aside from the plot and pacing being mostly well done, the film's acting and production are commendable. All three leads do a fantastic job, and kudos to the two Ansons for taking on their characters with this much determination (this movie was an acting breakthrough for both of them, as most of their roles before this had been idol-drama type projects). Patrick Tam is semi-unrecognizable as Lung-sir, and I sincerely hope he and Anson Kong will receive some kind of recognition in the upcoming awards season. All the supporting cast members also fit into their roles well. Shoutout to Thor Lok as Andrew, a character who was without a doubt the scene-stealer of this film.
The cinematography looks great considering the extremely tight production schedule this film had— there's a rougher quality to it in some areas, but in a sort of charming, gritty way. The soundtrack is absolutely beautiful, and I still can't get it out of my head after seeing the movie twice in theatres. I think regardless of if this movie turns out to be for you or not, it is still worth watching, and worth discussing.
We're Nothing At All is currently winding down its theatrical release in Hong Kong, and has already gone through limited theatrical releases in the UK and Canada. However, it is making its way through film festivals around the world (its latest premiere was at Taipei Film Festival and it will be screening at the upcoming Fantasia Festival in Canada), and hopefully there will be future releases in other countries. If what I've said intrigues you, here are a couple trailers below, and as always, please let me know if I've ever convinced you to watch a film!
I had a lot of/still have some vestigial arrogance about quantitative methods over qualitative ones, probably in a combination of scientific misogyny + STEMlord superiority. But doing regression analysis and quant-heavy data analysis makes me realise more and more that you can justify basically any claim with numbers, and that you can construct your research in such a way as to output the numbers you want. which does not mean that all data are made up or that quantitative knowledge is all false. I think stories about scientists straight up inventing numbers or fudging experiments on purpose prove that there is a real difference between fraudulent and non-fraudulent research. but those data must always be narrativised & are always already narrativised. The act of presenting numbers itself is doing some of that narration because you’re already arguing that these numbers are worth presenting
People in the notes are rightfully pointing out common issues with data manipulation and pre-loaded conclusions in scientific research (i.e., the academic version of asking "so, how often do you beat your wife?" and so on), but I should have clarified that I'm not really talking about that. I'm talking about completely legitimate, above-board scientific research.
For example, I've had students ask me (in good faith) how it was possible for international medical bodies to report different counts of COVID-19 cases during the early years of the pandemic. And one of the answers is that you need to first define what you mean by a "COVID-19 case." Do you include self-reported incidences? Waste water data? Geo-fenced social media posts about people complaining about their coronavirus symptoms? Federal estimates? Hospital data? How do you compare countries/territories/substate entities with mandatory reporting mechanisms vs countries/territories/substate entities that rely only on voluntary self-reported cases? And what combination of these do you use? How you construct what you mean by "case" is going to impact the outcomes you report. These different counts of COVID-19 cases can all be true simultaneously, not because numbers are made up, but because they all come out of different methodologies that can be equally valid.
And this is true across all science, not just social science. Bill Clinton said it best lol: "it depends on what your definition of the word 'is' is." This feels obvious when you look at scientific research that uses "skull measurements" as their object of analysis - the concept itself is white supremacist, regardless of how "sound" the research is. But even something as apparently self-evident as a COVID-19 case still requires a definition, and how you define your variables is necessarily going to impact how the research goes and what conclusions are drawn.
These definitions are always embedded in political & social assumptions. And again, this does not mean that science is all made up or nonsense or whatever. There is a widespread fetishism of "objective knowledge" that is itself ideological - the idea that knowledge can be divorced from all historical and political contexts, that you can scrub bias from research and simply report the facts. Valuable, well-supported, well-constructed scientific research is always embedded in these contexts. Not just as a result of researcher assumptions, but of the material context it exists in - what research resources are available, how & what research gets funded, the academy's relationship to the state & non-government bodies that both provide data and use that research to inform policy, the historical relationships universities often have with settler-colonialism and imperialism that give them access to "foreign" research subjects, etc etc etc.
So my overall point (which I didn't communicate well) is that data can always say what you want to some extent, for good and for ill. And research results (at least in my experience) tend to surprise you in ways that require explanations, which themselves can be fully justified, but again, exist within many different contexts that influence how you interpret them - and not just the results themselves, but your own surprise at your results
Hey did you draw that evil feminist caricature to warn men how their wives would act once they got the right to vote? Illustrator: sure did boss. real sexy, just like you asked.
I reblogged this last year and then immediately bought some of this tea and it was the best decision. It is *SO AWESOME* to have a pitcher of Thai tea ready to go in your fridge.
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i love queerplatonic relationships where one of them is aroace and the other isn't. i love when the allo character has a crush that fades over time. i love when they don't care what they are to each other as long as they're together. i love when romance is an option that they don't choose. i love when both aros and allos feel fulfilled without romance or sex.
I don't read as much fic as I used to but one "tell" for non Canadians writing us, besides the etransfer, is the units you use to describe us measuring something. I hate to tell you this but The Chart is real and it's completely subconscious. Please abide
I still remember this French exchange student who came to Canada and said to me in exasperation, "I thought you did metric!" We do, just not always.
The thing is, I'd say we are bilingual in measurements, but I can only do my height in inches and feet, cm and meters mean nothing to me if it's a human. I have to convert with math (I do know my own height in both). If I'm told a human's weight in kg I have literally no picture in my head of how they might look. Tell me in pounds and I'm good. Tell me the day's temperature in F and I won't know how to dress. Has to be C
We really do measure travel distances in time. I live 2 and a half hours away from my parents. No idea how many kms. That's not important. The important part is the time.
If I will defend anything imperial, it's cups and spoons. Best way to bake in my humble opinion. Trying to bake in metric has too many hundreds of ml.
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'why is so much politically-focused genre fiction centred on monarchies' many reasons, but one which I think deserves attention: monarchy is an obvious way of tying together the dysfunctions of the domestic to those of the state
These folks are cosplaying as the characters from Romance of the Three Kingdoms. The guy with the sword is Emperor Liu Bei. His horse is guided by Guan Yu, his military general, and the sword Liu Bei uses is Guan Yu's signature weapon. It's also worth noting that Liu Bei, Guan Yu and Zhang Fei (who's not depicted here) famously sworn in a brotherly bond and refers to each other as brothers.
The horse following him is ZhuGe Liang, Liu Bei's advisor (you know because he's wielding a fan, which is his signature... tool, some games shows him use it as a weapon).
Also throughout this whole thing they're speaking mock archaic Chinese extremely badly.
Translation:
Liu Bei: I shall borrow the power of Guan Yu's sword! *Smacks the balls*
ZhuGe Liang: Your Majesty, this shot was dopeth as fuck! *Uses his fan to push a ball in*
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Liu Bei: Ball #3 goes in the top left hole. *Scores correctly*
ZhuGe Liang: Your Majesty, why is your sword so rusty?
Liu Bei: This is the Blade of Tetanus! Ha ha ha.
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Guan Yu: Big Brother, the horse seems hungry. *puts some hay on the table so the horse shoves all the balls into the hole as it eats*
Liu Bei: What a good horse Di Lu (Liu Bei's horse) is! Scored so beautifully, how timely it knew to be hungry!
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The bottom caption reads: Dangerous moves, do not copy. Fictional acting, for entertainment purposes only, not to be seen as bad influence
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