If you're following me you've seen pictures of amazing nebulas and galaxies from space.
How can I take this dark portion of the sky and get a nebula out of it? From the ground? From light-polluted Vancouver?!
Physics to the rescue! /1
In #Astrophotography, cameras & randomness of light sources in space filtering through the atmosphere produce noise.
But! The photons of space are there! So we do something called "Stacking".
Here is one 90-second exposure of the Iris Nebula. EW! barely looks like anything. /2
However, here is 5 x 90s images stacked together. as the noise is random, and the signal coming from space is constant, as we add more images, we start being able to separate the signal from the noise.
See how there is more nebula visible now? /3
We're at 10 x 90s images.
The random noise keeps averaging out on top of itself (decreasing the noise), whereas the signal is constant!
Noise down, signal same = increasing the signal-to-noise ratio!
Now we start seeing details within and outside the nebula. /4
13 x 90s images.
When we started, the noise was much higher, but with each 90 second image added, the noise decreases. At this point, it's precisely half what it was before.
You'll note the light parts are getting *very smooth*. The noise is weak compared to strong signal. /5
20 x 90s images (30 minutes)
The gains start becoming smaller, so the time invested needs to increase. Our signal to noise ratio inches higher and higher. (2.5x better now!)
Despite the minor minimal gains, we are starting to see more "space dust" outside the nebula! /6
40 x 90s images (60 minutes)
We've gone from 2.5x better to 3.3x better, and we're getting even more detail of the dust clouds surrounding the Iris Nebula. /7
And here we are at 240 images!
Of course it is not processed yet so it still looks noisy, but now we have tons of definition within the nebula, as well as more than a few surrounding dust clouds. /8
Side by side, you can see what a difference stacking makes. By the time I'm at 6 hours, woah! huge difference. /9
So future/present astrophotographers! check out some videos/tutorials on stacking! It's a great way to get that exposure time up while keeping thermal noise low (for uncooled cameras), and it is essential for deep space photography. /10
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Coplan et al separated three kinds of preschool solitude: reticence (hovering, wanting in), solitary-active (solo play near others), solitary-passive (quiet constructive or exploratory play).
/2
They were not associated with each other. And only reticence was associated with anxiety now and later for the child.
The kid reading a book is solitary-passive, and that's a benign form of solitude (not always, but mostly).
/3
A warning about Dr Jessica Taylor, the "Sexy But Psycho" author whose anti-psychiatry content keeps crossing my feed. She has real credentials and a PhD in forensic psychology. What she doesn't have is any clinical qualification.
Her own bio lists her credentials: PhD, BPS Chartered Psychologist, AFBPsS. What it has never listed: "clinical psychologist" / "practitioner psychologist". the HCPC-regulated, legally protected titles required to practice clinically in the UK.
No regulatory body to complain to
Yet her businesses offer "expert witness services," trauma "assessments," "therapies" and a sound bath studio using quartz bowls to "recalibrate the nervous system."
* Elon net worth is $980B (+$500B)
* Donald Trump's family ~$10B, up about $7B
* Top 15 billionaires: up 33%
And USAID was cut 6 billion, resulting in hundreds of thousands of or the poorest people needlessly dying and suffering.
/1
Since Trump was elected:
* $5-700M on white house renovations
* $132B for the war in Iran
* $930M for the refurbishment of the "gifted Qatari jet"
* $102M for Trump's golf trips every weekend (at his properties, which profit)
* $40M for a military parade
/2
Since Trump was elected:
* $500B in lost IRS revenue
* $135B in benefits obligations and costs due to DOGE retirements
/3
Point 1: "Disease-targeting" is an invented criterion
1a. You demand drugs show "disease-targeting effects" or be presumed harmful. This is never necessary. The actual claim: reliable symptom change across replicated RCTs.
/2
Point 1: "Disease-targeting" is an invented criterion
1b. Cardiology doesn't know the molecular lesion driving most post-MI mortality benefit from beta-blockers. We use them anyway because they work. "No known mechanism, therefore presume harm" would gut most of medicine.
/3
The core trick: he treats prescription prevalence as self-evidently bad. But high rates only signal a problem if the meds don't work, are given to people who don't need them, or cause net harm. He establishes none of this. He just gestures at numbers.
/2
The same rhetorical structure would indict insulin prescribing, or asthma inhalers. Prevalence is not pathology. The question is whether treatment matches need — and whether the alternative (untreated illness) is better or worse.
/3
It makes no sense the way we treat our people with disabilities in Canada. Canada has the full apparatus to implement adjusted payments, yet we typically support disabled people WELL under the poverty line.
/1
Canada has an official poverty line: the Market Basket Measure. It's regionally calibrated, methodologically sound, and updated by StatCan.
A single person on BC PWD receives ~$18.4k/year. The Vancouver MBM is ~$29k.
That's not a rounding error. It's a structural choice.
PWD recipients in Vancouver sit at roughly 47% of the poverty line and below the Deep Income Poverty threshold (75% of MBM), which is the level StatCan uses to flag the worst material deprivation in the country.
/3