*AI Summary*
*# *Phase 1: Analyze and Adopt**
*Domain:* Clinical Psychology / Behavioral Science / Digital Wellness
*Persona:* Senior Clinical Psychologist and Behavioral Addiction Specialist
---
### *Phase 2: Abstract and Summary*
*Abstract:*
This presentation examines the psychological paradox of "productive procrastination" within the digital self-improvement landscape. The analysis posits that consuming self-help content often serves as an insidious defense mechanism, allowing individuals to bypass the necessary "cost" of behavioral change by substituting active implementation with passive consumption. The speaker argues that the YouTube algorithmic model inherently prioritizes retention and entertainment over clinical utility, leading to a "consumption trap" where users feel a false sense of progress. By utilizing principles of Motivational Interviewing (MI), the discourse highlights how our brains gravitate toward the "free" dopamine of theoretical knowledge to avoid the immediate discomfort (cost) of practical application. The final recommendation emphasizes a shift toward targeted, problem-specific learning that occurs only after an initial investment of effort.
*Behavioral Mechanics of Digital Self-Help Consumption*
* *0:00 The Irony of Passive Improvement:* The proliferation of self-help content has created an "insidious problem" where high consumption rates do not correlate with measurable life improvements.
* *0:41 The "Insidious Thought" of Efficiency:* Users justify time-wasting by choosing "productive" content (e.g., podcasts, psychology videos) over pure entertainment. This creates a cognitive illusion that the time spent is an investment rather than a distraction.
* *1:34 Algorithmic Misalignment:* Content creators are incentivized to produce "palatable" and "consumable" media rather than clinically effective tools. Engagement metrics (CTR, watch time) fundamentally conflict with the friction required for genuine behavioral change.
* *3:36 The Human Connection Gap:* Coaching and therapy offer "follow-through" and "setback management" that passive video consumption lacks. The speaker notes that users often avoid professional help because YouTube provides the illusion of "free" progress.
* *4:37 The "Efficiency Trap":* Viewing self-improvement as "bonus" content (multitasking while doing dishes or gaming) devalues the information. If the "cost" of the information is zero, the brain becomes unwilling to pay the high "cost" of actual effort required for change.
* *5:50 Ambivalence and Motivational Interviewing:* Change is hindered by "ambivalence"—the conflict between long-term benefits and immediate costs. When starting a goal (e.g., the gym), users focus on far-off benefits; when implementing, they only experience immediate costs (fatigue, discomfort), leading to abandonment.
* *7:53 Decoupling Improvement from Entertainment:* To break the cycle, individuals must categorize activities as either "Learning for Implementation" or "Wasting Time."
* *8:41 The Targeted Learning Model:* Effective self-help follows a "Cost-First" approach: engage in the difficult task first (e.g., cooking), identify specific obstacles, and only then consume targeted content to solve those specific problems.
---
### *Phase 3: Expert Group Review*
*Recommended Review Group:*
A Peer-Review Panel of *Clinical Psychologists, Neurobiologists, and Digital Wellness Researchers.*
*Summary from the Perspective of the Panel:*
*Subject:* Clinical Analysis of "Passive Cognition and the Self-Correction Illusion"
The panel concludes that the material accurately identifies a growing phenomenon in digital health: *Cognitive Pseudo-Competence.* This occurs when the acquisition of theoretical frameworks via high-engagement media creates a dopamine-mediated sense of achievement that satisfies the urge for change without necessitating any actual behavioral modification.
*Key Findings for Clinical Review:*
1. *Retention vs. Remediation:* The panel notes the speaker’s valid critique of the "Attention Economy." Algorithms favor "retention," which is functionally antithetical to "remediation." Genuine psychological work requires friction, whereas platform growth requires the removal of friction.
2. *Ambivalence and Temporal Discounting:* The speaker’s application of Motivational Interviewing (MI) correctly identifies "temporal discounting"—the tendency to overvalue immediate costs (the effort of action) while devaluing delayed rewards (the results of that action). Passive consumption serves as a "relief valve" for the anxiety of non-action.
3. *Prescription for Practice:* The panel supports the "Targeted Learning" recommendation. In clinical settings, this aligns with *Task-Oriented Behavioral Therapy,* where information is provided as a "just-in-time" resource to overcome specific hurdles discovered during active practice, rather than "just-in-case" knowledge that remains dormant.
AI-generated summary created with gemini-3-flash-preview for free via RocketRecap-dot-com. (Input: 18,260 tokens, Output: 995 tokens, Est. cost: $0.0121).
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Fluidigm Polaris Part 2- illuminator and camera
mikeselectricstuff
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Fluidigm Polaris part 1 : • Fluidigm Polaris (Part 1) - Biotech g...
Ebay listings: https://www.ebay.co.uk/usr/mikeselect...
Merch https://mikeselectricstuff.creator-sp...
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mikeselectricstuff
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40 Comments
@robertwatsonbath
6 hours ago
Thanks Mike. Ooof! - with the level of bodgery going on around 15:48 I think shame would have made me do a board re spin, out of my own pocket if I had to.
1
Reply
@Muonium1
9 hours ago
The green LED looks different from the others and uses phosphor conversion because of the "green gap" problem where green InGaN emitters suffer efficiency droop at high currents. Phosphide based emitters don't start becoming efficient until around 600nm so also can't be used for high power green emitters. See the paper and plot by Matthias Auf der Maur in his 2015 paper on alloy fluctuations in InGaN as the cause of reduced external quantum efficiency at longer (green) wavelengths.
4
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1 reply
@tafsirnahian669
10 hours ago (edited)
Can this be used as an astrophotography camera?
Reply
mikeselectricstuff
·
1 reply
@mikeselectricstuff
6 hours ago
Yes, but may need a shutter to avoid light during readout
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@2010craggy
11 hours ago
Narrowband filters we use in Astronomy (Astrophotography) are sided- they work best passing light in one direction so I guess the arrows on the filter frames indicate which way round to install them in the filter wheel.
1
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@vitukz
12 hours ago
A mate with Channel @extractions&ire could use it
2
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@RobertGallop
19 hours ago
That LED module says it can go up to 28 amps!!! 21 amps for 100%. You should see what it does at 20 amps!
Reply
@Prophes0r
19 hours ago
I had an "Oh SHIT!" moment when I realized that the weird trapezoidal shape of that light guide was for keystone correction of the light source.
Very clever.
6
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@OneBiOzZ
20 hours ago
given the cost of the CCD you think they could have run another PCB for it
9
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@tekvax01
21 hours ago
$20 thousand dollars per minute of run time!
1
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@tekvax01
22 hours ago
"We spared no expense!" John Hammond Jurassic Park.
*(that's why this thing costs the same as a 50-seat Greyhound Bus coach!)
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@florianf4257
22 hours ago
The smearing on the image could be due to the fact that you don't use a shutter, so you see brighter stripes under bright areas of the image as you still iluminate these pixels while the sensor data ist shifted out towards the top. I experienced this effect back at university with a LN-Cooled CCD for Spectroscopy. The stripes disapeared as soon as you used the shutter instead of disabling it in the open position (but fokussing at 100ms integration time and continuous readout with a focal plane shutter isn't much fun).
12
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mikeselectricstuff
·
1 reply
@mikeselectricstuff
12 hours ago
I didn't think of that, but makes sense
2
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@douro20
22 hours ago (edited)
The red LED reminds me of one from Roithner Lasertechnik. I have a Symbol 2D scanner which uses two very bright LEDs from that company, one red and one red-orange. The red-orange is behind a lens which focuses it into an extremely narrow beam.
1
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@RicoElectrico
23 hours ago
PFG is Pulse Flush Gate according to the datasheet.
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@dcallan812
23 hours ago
Very interesting. 2x
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@littleboot_
1 day ago
Cool interesting device
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@dav1dbone
1 day ago
I've stripped large projectors, looks similar, wonder if some of those castings are a magnesium alloy?
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@kevywevvy8833
1 day ago
ironic that some of those Phlatlight modules are used in some of the cheapest disco lights.
1
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1 reply
@bill6255
1 day ago
Great vid - gets right into subject in title, its packed with information, wraps up quickly. Should get a YT award! imho
3
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@JAKOB1977
1 day ago (edited)
The whole sensor module incl. a 5 grand 50mpix sensor for 49 £.. highest bid atm
Though also a limited CCD sensor, but for the right buyer its a steal at these relative low sums.
Architecture Full Frame CCD (Square Pixels)
Total Number of Pixels 8304 (H) × 6220 (V) = 51.6 Mp
Number of Effective Pixels 8208 (H) × 6164 (V) = 50.5 Mp
Number of Active Pixels 8176 (H) × 6132 (V) = 50.1 Mp
Pixel Size 6.0 m (H) × 6.0 m (V)
Active Image Size 49.1 mm (H) × 36.8 mm (V)
61.3 mm (Diagonal),
645 1.1x Optical Format
Aspect Ratio 4:3
Horizontal Outputs 4
Saturation Signal 40.3 ke−
Output Sensitivity 31 V/e−
Quantum Efficiency
KAF−50100−CAA
KAF−50100−AAA
KAF−50100−ABA (with Lens)
22%, 22%, 16% (Peak R, G, B)
25%
62%
Read Noise (f = 18 MHz) 12.5 e−
Dark Signal (T = 60°C) 42 pA/cm2
Dark Current Doubling Temperature 5.7°C
Dynamic Range (f = 18 MHz) 70.2 dB
Estimated Linear Dynamic Range
(f = 18 MHz)
69.3 dB
Charge Transfer Efficiency
Horizontal
Vertical
0.999995
0.999999
Blooming Protection
(4 ms Exposure Time)
800X Saturation Exposure
Maximum Date Rate 18 MHz
Package Ceramic PGA
Cover Glass MAR Coated, 2 Sides or
Clear Glass
Features
• TRUESENSE Transparent Gate Electrode
for High Sensitivity
• Ultra-High Resolution
• Board Dynamic Range
• Low Noise Architecture
• Large Active Imaging Area
Applications
• Digitization
• Mapping/Aerial
• Photography
• Scientific
Thx for the tear down Mike, always a joy
Reply
@martinalooksatthings
1 day ago
15:49 that is some great bodging on of caps, they really didn't want to respin that PCB huh
8
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@RhythmGamer
1 day ago
Was depressed today and then a new mike video dropped and now I’m genuinely happy to get my tear down fix
1
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@dine9093
1 day ago (edited)
Did you transfrom into Mr Blobby for a moment there?
2
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@NickNorton
1 day ago
Thanks Mike. Your videos are always interesting.
5
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@KeritechElectronics
1 day ago
Heavy optics indeed... Spare no expense, cost no object. Splendid build quality. The CCD is a thing of beauty!
1
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@YSoreil
1 day ago
The pricing on that sensor is about right, I looked in to these many years ago when they were still in production since it's the only large sensor you could actually buy. Really cool to see one in the wild.
2
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@snik2pl
1 day ago
That leds look like from led projector
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@vincei4252
1 day ago
TDI = Time Domain Integration ?
1
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@wolpumba4099
1 day ago (edited)
Maybe the camera should not be illuminated during readout.
From the datasheet of the sensor (Onsemi): saturation 40300 electrons, read noise 12.5 electrons per pixel @ 18MHz (quite bad). quantum efficiency 62% (if it has micro lenses), frame rate 1 Hz. lateral overflow drain to prevent blooming protects against 800x (factor increases linearly with exposure time) saturation exposure (32e6 electrons per pixel at 4ms exposure time), microlens has +/- 20 degree acceptance angle
i guess it would be good for astrophotography
4
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@txm100
1 day ago (edited)
Babe wake up a new mikeselectricstuff has dropped!
9
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@vincei4252
1 day ago
That looks like a finger-lakes filter wheel, however, for astronomy they'd never use such a large stepper.
1
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@MRooodddvvv
1 day ago
yaaaaay ! more overcomplicated optical stuff !
4
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1 reply
@NoPegs
1 day ago
He lives!
11
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1 reply
Transcript
0:00
so I've stripped all the bits of the
0:01
optical system so basically we've got
0:03
the uh the camera
0:05
itself which is mounted on this uh very
0:09
complex
0:10
adjustment thing which obviously to set
0:13
you the various tilt and uh alignment
0:15
stuff then there's two of these massive
0:18
lenses I've taken one of these apart I
0:20
think there's something like about eight
0:22
or nine Optical elements in here these
0:25
don't seem to do a great deal in terms
0:26
of electr magnification they're obiously
0:28
just about getting the image to where it
0:29
uh where it needs to be just so that
0:33
goes like that then this Optical block I
0:36
originally thought this was made of some
0:37
s crazy heavy material but it's just
0:39
really the sum of all these Optical bits
0:41
are just ridiculously heavy those lenses
0:43
are about 4 kilos each and then there's
0:45
this very heavy very solid um piece that
0:47
goes in the middle and this is so this
0:49
is the filter wheel assembly with a
0:51
hilariously oversized steper
0:53
motor driving this wheel with these very
0:57
large narrow band filters so we've got
1:00
various different shades of uh
1:03
filters there five Al together that
1:06
one's actually just showing up a silver
1:07
that's actually a a red but fairly low
1:10
transmission orangey red blue green
1:15
there's an excess cover on this side so
1:16
the filters can be accessed and changed
1:19
without taking anything else apart even
1:21
this is like ridiculous it's like solid
1:23
aluminium this is just basically a cover
1:25
the actual wavelengths of these are um
1:27
488 525 570 630 and 700 NM not sure what
1:32
the suffix on that perhaps that's the uh
1:34
the width of the spectral line say these
1:37
are very narrow band filters most of
1:39
them are you very little light through
1:41
so it's still very tight narrow band to
1:43
match the um fluoresence of the dies
1:45
they're using in the biochemical process
1:48
and obviously to reject the light that's
1:49
being fired at it from that Illuminator
1:51
box and then there's a there's a second
1:53
one of these lenses then the actual sort
1:55
of samples below that so uh very serious
1:58
amount of very uh chunky heavy Optics
2:01
okay let's take a look at this light
2:02
source made by company Lumen Dynamics
2:04
who are now part of
2:06
excelitas self-contained unit power
2:08
connector USB and this which one of the
2:11
Cable Bundle said was a TTL interface
2:14
USB wasn't used in uh the fluid
2:17
application output here and I think this
2:19
is an input for um light feedback I
2:21
don't if it's regulated or just a measur
2:23
measurement facility and the uh fiber
2:27
assembly
2:29
Square Inlet there and then there's two
2:32
outputs which have uh lens assemblies
2:35
and this small one which goes back into
2:37
that small Port just Loops out of here
2:40
straight back in So on this side we've
2:42
got the electronics which look pretty
2:44
straightforward we've got a bit of power
2:45
supply stuff over here and we've got
2:48
separate drivers for each wavelength now
2:50
interesting this is clearly been very
2:52
specifically made for this application
2:54
you I was half expecting like say some
2:56
generic drivers that could be used for a
2:58
number of different things but actually
3:00
literally specified the exact wavelength
3:02
on the PCB there is provision here for
3:04
385 NM which isn't populated but this is
3:07
clearly been designed very specifically
3:09
so these four drivers look the same but
3:10
then there's two higher power ones for
3:12
575 and
3:14
520 a slightly bigger heat sink on this
3:16
575 section there a p 24 which is
3:20
providing USB interface USB isolator the
3:23
USB interface just presents as a comport
3:26
I did have a quick look but I didn't
3:27
actually get anything sensible um I did
3:29
dump the Pi code out and there's a few
3:31
you a few sort of commands that you
3:32
could see in text but I didn't actually
3:34
manage to get it working properly I
3:36
found some software for related version
3:38
but it didn't seem to want to talk to it
3:39
but um I say that wasn't used for the
3:41
original application it might be quite
3:42
interesting to get try and get the Run
3:44
hours count out of it and the TTL
3:46
interface looks fairly straightforward
3:48
we've got positions for six opto
3:50
isolators but only five five are
3:52
installed so that corresponds with the
3:54
unused thing so I think this hopefully
3:56
should be as simple as just providing a
3:57
ttrl signal for each color to uh enable
4:00
it a big heat sink here which is there I
4:03
think there's like a big S of metal
4:04
plate through the middle of this that
4:05
all the leads are mounted on the other
4:07
side so this is heat sinking it with a
4:09
air flow from a uh just a fan in here
4:13
obviously don't have the air flow
4:14
anywhere near the Optics so conduction
4:17
cool through to this plate that's then
4:18
uh air cooled got some pots which are
4:21
presumably power
4:22
adjustments okay let's take a look at
4:24
the other side which is uh much more
4:27
interesting see we've got some uh very
4:31
uh neatly Twisted cable assemblies there
4:35
a bunch of leads so we've got one here
4:37
475 up here 430 NM 630 575 and 520
4:44
filters and dcro mirrors a quick way to
4:48
see what's white is if we just shine
4:49
some white light through
4:51
here not sure how it is is to see on the
4:54
camera but shining white light we do
4:55
actually get a bit of red a bit of blue
4:57
some yellow here so the obstacle path
5:00
575 it goes sort of here bounces off
5:03
this mirror and goes out the 520 goes
5:07
sort of down here across here and up
5:09
there 630 goes basically straight
5:13
through
5:15
430 goes across there down there along
5:17
there and the 475 goes down here and
5:20
left this is the light sensing thing
5:22
think here there's just a um I think
5:24
there a photo diode or other sensor
5:26
haven't actually taken that off and
5:28
everything's fixed down to this chunk of
5:31
aluminium which acts as the heat
5:32
spreader that then conducts the heat to
5:33
the back side for the heat
5:35
sink and the actual lead packages all
5:38
look fairly similar except for this one
5:41
on the 575 which looks quite a bit more
5:44
substantial big spay
5:46
Terminals and the interface for this
5:48
turned out to be extremely simple it's
5:50
literally a 5V TTL level to enable each
5:54
color doesn't seem to be any tensity
5:56
control but there are some additional
5:58
pins on that connector that weren't used
5:59
in the through time thing so maybe
6:01
there's some extra lines that control
6:02
that I couldn't find any data on this uh
6:05
unit and the um their current product
6:07
range is quite significantly different
6:09
so we've got the uh blue these
6:13
might may well be saturating the camera
6:16
so they might look a bit weird so that's
6:17
the 430
6:18
blue the 575
6:24
yellow uh
6:26
475 light blue
6:29
the uh 520
6:31
green and the uh 630 red now one
6:36
interesting thing I noticed for the
6:39
575 it's actually it's actually using a
6:42
white lead and then filtering it rather
6:44
than using all the other ones are using
6:46
leads which are the fundamental colors
6:47
but uh this is actually doing white and
6:50
it's a combination of this filter and
6:52
the dichroic mirrors that are turning to
6:55
Yellow if we take the filter out and a
6:57
lot of the a lot of the um blue content
7:00
is going this way the red is going
7:02
straight through these two mirrors so
7:05
this is clearly not reflecting much of
7:08
that so we end up with the yellow coming
7:10
out of uh out of there which is a fairly
7:14
light yellow color which you don't
7:16
really see from high intensity leads so
7:19
that's clearly why they've used the
7:20
white to uh do this power consumption of
7:23
the white is pretty high so going up to
7:25
about 2 and 1 half amps on that color
7:27
whereas most of the other colors are
7:28
only drawing half an amp or so at 24
7:30
volts the uh the green is up to about
7:32
1.2 but say this thing is uh much
7:35
brighter and if you actually run all the
7:38
colors at the same time you get a fairly
7:41
reasonable um looking white coming out
7:43
of it and one thing you might just be
7:45
out to notice is there is some sort
7:46
color banding around here that's not
7:49
getting uh everything s completely
7:51
concentric and I think that's where this
7:53
fiber optic thing comes
7:58
in I'll
8:00
get a couple of Fairly accurately shaped
8:04
very sort of uniform color and looking
8:06
at What's um inside here we've basically
8:09
just got this Square Rod so this is
8:12
clearly yeah the lights just bouncing
8:13
off all the all the various sides to um
8:16
get a nice uniform illumination uh this
8:19
back bit looks like it's all potted so
8:21
nothing I really do to get in there I
8:24
think this is fiber so I have come
8:26
across um cables like this which are
8:27
liquid fill but just looking through the
8:30
end of this it's probably a bit hard to
8:31
see it does look like there fiber ends
8:34
going going on there and so there's this
8:36
feedback thing which is just obviously
8:39
compensating for the any light losses
8:41
through here to get an accurate
8:43
representation of uh the light that's
8:45
been launched out of these two
8:47
fibers and you see uh
8:49
these have got this sort of trapezium
8:54
shape light guides again it's like a
8:56
sort of acrylic or glass light guide
9:00
guess projected just to make the right
9:03
rectangular
9:04
shape and look at this Center assembly
9:07
um the light output doesn't uh change
9:10
whether you feed this in or not so it's
9:11
clear not doing any internal Clos Loop
9:14
control obviously there may well be some
9:16
facility for it to do that but it's not
9:17
being used in this
9:19
application and so this output just
9:21
produces a voltage on the uh outle
9:24
connector proportional to the amount of
9:26
light that's present so there's a little
9:28
diffuser in the back there
9:30
and then there's just some kind of uh
9:33
Optical sensor looks like a
9:35
chip looking at the lead it's a very
9:37
small package on the PCB with this lens
9:40
assembly over the top and these look
9:43
like they're actually on a copper
9:44
Metalized PCB for maximum thermal
9:47
performance and yeah it's a very small
9:49
package looks like it's a ceramic
9:51
package and there's a thermister there
9:53
for temperature monitoring this is the
9:56
475 blue one this is the 520 need to
9:59
Green which is uh rather different OB
10:02
it's a much bigger D with lots of bond
10:04
wise but also this looks like it's using
10:05
a phosphor if I shine a blue light at it
10:08
lights up green so this is actually a
10:10
phosphor conversion green lead which
10:12
I've I've come across before they want
10:15
that specific wavelength so they may be
10:17
easier to tune a phosphor than tune the
10:20
um semiconductor material to get the uh
10:23
right right wavelength from the lead
10:24
directly uh red 630 similar size to the
10:28
blue one or does seem to have a uh a
10:31
lens on top of it there is a sort of red
10:33
coloring to
10:35
the die but that doesn't appear to be
10:38
fluorescent as far as I can
10:39
tell and the white one again a little
10:41
bit different sort of much higher
10:43
current
10:46
connectors a makeer name on that
10:48
connector flot light not sure if that's
10:52
the connector or the lead
10:54
itself and obviously with the phosphor
10:56
and I'd imagine that phosphor may well
10:58
be tuned to get the maximum to the uh 5
11:01
cenm and actually this white one looks
11:04
like a St fairly standard product I just
11:06
found it in Mouse made by luminous
11:09
devices in fact actually I think all
11:11
these are based on various luminous
11:13
devices modules and they're you take
11:17
looks like they taking the nearest
11:18
wavelength and then just using these
11:19
filters to clean it up to get a precise
11:22
uh spectral line out of it so quite a
11:25
nice neat and um extreme
11:30
bright light source uh sure I've got any
11:33
particular use for it so I think this
11:35
might end up on
11:36
eBay but uh very pretty to look out and
11:40
without the uh risk of burning your eyes
11:43
out like you do with lasers so I thought
11:45
it would be interesting to try and
11:46
figure out the runtime of this things
11:48
like this we usually keep some sort
11:49
record of runtime cuz leads degrade over
11:51
time I couldn't get any software to work
11:52
through the USB face but then had a
11:54
thought probably going to be writing the
11:55
runtime periodically to the e s prom so
11:58
I just just scope up that and noticed it
12:00
was doing right every 5 minutes so I
12:02
just ran it for a while periodically
12:04
reading the E squ I just held the pick
12:05
in in reset and um put clip over to read
12:07
the square prom and found it was writing
12:10
one location per color every 5 minutes
12:12
so if one color was on it would write
12:14
that location every 5 minutes and just
12:16
increment it by one so after doing a few
12:18
tests with different colors of different
12:19
time periods it looked extremely
12:21
straightforward it's like a four bite
12:22
count for each color looking at the
12:24
original data that was in it all the
12:26
colors apart from Green were reading
12:28
zero and the green was reading four
12:30
indicating a total 20 minutes run time
12:32
ever if it was turned on run for a short
12:34
time then turned off that might not have
12:36
been counted but even so indicates this
12:37
thing wasn't used a great deal the whole
12:40
s process of doing a run can be several
12:42
hours but it'll only be doing probably
12:43
the Imaging at the end of that so you
12:46
wouldn't expect to be running for a long
12:47
time but say a single color for 20
12:50
minutes over its whole lifetime does
12:52
seem a little bit on the low side okay
12:55
let's look at the camera un fortunately
12:57
I managed to not record any sound when I
12:58
did this it's also a couple of months
13:00
ago so there's going to be a few details
13:02
that I've forgotten so I'm just going to
13:04
dub this over the original footage so um
13:07
take the lid off see this massive great
13:10
heat sink so this is a pel cool camera
13:12
we've got this blower fan producing a
13:14
fair amount of air flow through
13:16
it the connector here there's the ccds
13:19
mounted on the board on the
13:24
right this unplugs so we've got a bit of
13:27
power supply stuff on here
13:29
USB interface I think that's the Cyprus
13:32
microcontroller High speeded USB
13:34
interface there's a zyink spon fpga some
13:40
RAM and there's a couple of ATD
13:42
converters can't quite read what those
13:45
those are but anal
13:47
devices um little bit of bodgery around
13:51
here extra decoupling obviously they
13:53
have having some noise issues this is
13:55
around the ram chip quite a lot of extra
13:57
capacitors been added there
13:59
uh there's a couple of amplifiers prior
14:01
to the HD converter buffers or Andor
14:05
amplifiers taking the CCD
14:08
signal um bit more power spy stuff here
14:11
this is probably all to do with
14:12
generating the various CCD bias voltages
14:14
they uh need quite a lot of exotic
14:18
voltages next board down is just a
14:20
shield and an interconnect
14:24
boardly shielding the power supply stuff
14:26
from some the more sensitive an log
14:28
stuff
14:31
and this is the bottom board which is
14:32
just all power supply
14:34
stuff as you can see tons of capacitors
14:37
or Transformer in
14:42
there and this is the CCD which is a uh
14:47
very impressive thing this is a kf50 100
14:50
originally by true sense then codec
14:53
there ON
14:54
Semiconductor it's 50 megapixels uh the
14:58
only price I could find was this one
15:00
5,000 bucks and the architecture you can
15:03
see there actually two separate halves
15:04
which explains the Dual AZ converters
15:06
and two amplifiers it's literally split
15:08
down the middle and duplicated so it's
15:10
outputting two streams in parallel just
15:13
to keep the bandwidth sensible and it's
15:15
got this amazing um diffraction effects
15:18
it's got micro lenses over the pixel so
15:20
there's there's a bit more Optics going
15:22
on than on a normal
15:25
sensor few more bodges on the CCD board
15:28
including this wire which isn't really
15:29
tacked down very well which is a bit uh
15:32
bit of a mess quite a few bits around
15:34
this board where they've uh tacked
15:36
various bits on which is not super
15:38
impressive looks like CCD drivers on the
15:40
left with those 3 ohm um damping
15:43
resistors on the
15:47
output get a few more little bodges
15:50
around here some of
15:52
the and there's this separator the
15:54
silica gel to keep the moisture down but
15:56
there's this separator that actually
15:58
appears to be cut from piece of
15:59
antistatic
16:04
bag and this sort of thermal block on
16:06
top of this stack of three pel Cola
16:12
modules so as with any Stacks they get
16:16
um larger as they go back towards the
16:18
heat sink because each P's got to not
16:20
only take the heat from the previous but
16:21
also the waste heat which is quite
16:27
significant you see a little temperature
16:29
sensor here that copper block which
16:32
makes contact with the back of the
16:37
CCD and this's the back of the
16:40
pelas this then contacts the heat sink
16:44
on the uh rear there a few thermal pads
16:46
as well for some of the other power
16:47
components on this
16:51
PCB okay I've connected this uh camera
16:54
up I found some drivers on the disc that
16:56
seem to work under Windows 7 couldn't
16:58
get to install under Windows 11 though
17:01
um in the absence of any sort of lens or
17:03
being bothered to the proper amount I've
17:04
just put some f over it and put a little
17:06
pin in there to make a pinhole lens and
17:08
software gives a few options I'm not
17:11
entirely sure what all these are there's
17:12
obviously a clock frequency 22 MHz low
17:15
gain and with PFG no idea what that is
17:19
something something game programmable
17:20
Something game perhaps ver exposure
17:23
types I think focus is just like a
17:25
continuous grab until you tell it to
17:27
stop not entirely sure all these options
17:30
are obviously exposure time uh triggers
17:33
there ex external hardware trigger inut
17:35
you just trigger using a um thing on
17:37
screen so the resolution is 8176 by
17:40
6132 and you can actually bin those
17:42
where you combine multiple pixels to get
17:46
increased gain at the expense of lower
17:48
resolution down this is a 10sec exposure
17:51
obviously of the pin hole it's very uh
17:53
intensitive so we just stand still now
17:56
downloading it there's the uh exposure
17:59
so when it's
18:01
um there's a little status thing down
18:03
here so that tells you the um exposure
18:07
[Applause]
18:09
time it's this is just it
18:15
downloading um it is quite I'm seeing
18:18
quite a lot like smearing I think that I
18:20
don't know whether that's just due to
18:21
pixels overloading or something else I
18:24
mean yeah it's not it's not um out of
18:26
the question that there's something not
18:27
totally right about this camera
18:28
certainly was bodge wise on there um I
18:31
don't I'd imagine a camera like this
18:32
it's got a fairly narrow range of
18:34
intensities that it's happy with I'm not
18:36
going to spend a great deal of time on
18:38
this if you're interested in this camera
18:40
maybe for astronomy or something and
18:42
happy to sort of take the risk of it may
18:44
not be uh perfect I'll um I think I'll
18:47
stick this on eBay along with the
18:48
Illuminator I'll put a link down in the
18:50
description to the listing take your
18:52
chances to grab a bargain so for example
18:54
here we see this vertical streaking so
18:56
I'm not sure how normal that is this is
18:58
on fairly bright scene looking out the
19:02
window if I cut the exposure time down
19:04
on that it's now 1 second
19:07
exposure again most of the image
19:09
disappears again this is looks like it's
19:11
possibly over still overloading here go
19:14
that go down to say say quarter a
19:16
second so again I think there might be
19:19
some Auto gain control going on here um
19:21
this is with the PFG option let's try
19:23
turning that off and see what
19:25
happens so I'm not sure this is actually
19:27
more streaking or which just it's
19:29
cranked up the gain all the dis display
19:31
gray scale to show what um you know the
19:33
range of things that it's captured
19:36
there's one of one of 12 things in the
19:38
software there's um you can see of you
19:40
can't seem to read out the temperature
19:42
of the pelta cooler but you can set the
19:44
temperature and if you said it's a
19:46
different temperature you see the power
19:48
consumption jump up running the cooler
19:50
to get the temperature you requested but
19:52
I can't see anything anywhere that tells
19:54
you whether the cool is at the at the
19:56
temperature other than the power
19:57
consumption going down and there's no
19:59
temperature read out
20:03
here and just some yeah this is just
20:05
sort of very basic software I'm sure
20:07
there's like an API for more
20:09
sophisticated
20:10
applications but so if you know anything
20:12
more about these cameras please um stick
20:14
in the
20:15
comments um incidentally when I was
20:18
editing I didn't notice there was a bent
20:19
pin on the um CCD but I did fix that
20:22
before doing these tests and also
20:24
reactivated the um silica gel desicant
20:26
cuz I noticed it was uh I was getting
20:28
bit of condensation on the window but um
20:31
yeah so a couple of uh interesting but
20:34
maybe not particularly uh useful pieces
20:37
of Kit except for someone that's got a
20:38
very specific use so um I'll stick a
20:42
I'll stick these on eBay put a link in
20:44
the description and say hopefully
20:45
someone could actually make some uh good
20:47
use of these things
Example Output:
**Abstract:**
This video presents Part 2 of a teardown focusing on the optical components of a Fluidigm Polaris biotechnology instrument, specifically the multi-wavelength illuminator and the high-resolution CCD camera.
The Lumen Dynamics illuminator unit is examined in detail, revealing its construction using multiple high-power LEDs (430nm, 475nm, 520nm, 575nm, 630nm) combined via dichroic mirrors and filters. A square fiber optic rod is used to homogenize the light. A notable finding is the use of a phosphor-converted white LED filtered to achieve the 575nm output. The unit features simple TTL activation for each color, conduction cooling, and internal homogenization optics. Analysis of its EEPROM suggests extremely low operational runtime.
The camera module teardown showcases a 50 Megapixel ON Semiconductor KAF-50100 CCD sensor with micro-lenses, cooled by a multi-stage Peltier stack. The control electronics include an FPGA and a USB interface. Significant post-manufacturing modifications ("bodges") are observed on the camera's circuit boards. Basic functional testing using vendor software and a pinhole lens confirms image capture but reveals prominent vertical streaking artifacts, the cause of which remains uncertain (potential overload, readout artifact, or fault).
**Exploring the Fluidigm Polaris: A Detailed Look at its High-End Optics and Camera System**
* **0:00 High-End Optics:** The system utilizes heavy, high-quality lenses and mirrors for precise imaging, weighing around 4 kilos each.
* **0:49 Narrow Band Filters:** A filter wheel with five narrow band filters (488, 525, 570, 630, and 700 nm) ensures accurate fluorescence detection and rejection of excitation light.
* **2:01 Customizable Illumination:** The Lumen Dynamics light source offers five individually controllable LED wavelengths (430, 475, 520, 575, 630 nm) with varying power outputs. The 575nm yellow LED is uniquely achieved using a white LED with filtering.
* **3:45 TTL Control:** The light source is controlled via a simple TTL interface, enabling easy on/off switching for each LED color.
* **12:55 Sophisticated Camera:** The system includes a 50-megapixel Kodak KAI-50100 CCD camera with a Peltier cooling system for reduced noise.
* **14:54 High-Speed Data Transfer:** The camera features dual analog-to-digital converters to manage the high data throughput of the 50-megapixel sensor, which is effectively two 25-megapixel sensors operating in parallel.
* **18:11 Possible Issues:** The video creator noted some potential issues with the camera, including image smearing.
* **18:11 Limited Dynamic Range:** The camera's sensor has a limited dynamic range, making it potentially challenging to capture scenes with a wide range of brightness levels.
* **11:45 Low Runtime:** Internal data suggests the system has seen minimal usage, with only 20 minutes of recorded runtime for the green LED.
* **20:38 Availability on eBay:** Both the illuminator and camera are expected to be listed for sale on eBay.
Here is the real transcript. What would be a good group of people to review this topic? Please summarize provide a summary like they would:
Why You Should Stop Watching YouTube (Yes, Even This Video)
HealthyGamerGG
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From a channel with a health professional licensed in the US
Learn more about how experts define health sources
361,465 views Feb 8, 2026 #drk #healthygamer #mentalhealth
Build the life you want with HG Coaching: https://bit.ly/4qppYfA
▼ Timestamps ▼
────────────
00:00 Intro
01:34 Is Self-Help Content Helpful?
03:36 When Does Just Watching Become a Problem?
07:53 You Need to Appreciate the Cost
────────────
We offer tons of mental wellness resources to help you get your life on track. Learn more: https://bit.ly/3ZNv0qY
Dr. K wrote a book called "How to Raise a Healthy Gamer," available now: https://bit.ly/3VZSDLL
NEW! Check out the HG Institute for modern mental health CE's to incorporate into your practice: https://bit.ly/4oPHnhu
DISCLAIMER
Healthy Gamer is an online community and resource platform for gamers and their families. It does not provide medical services or professional counseling, and it is not a substitute for professional medical care. Our coaches are peer coaches, not professionally trained experts, and they cannot provide medical service. If you or a loved one are experiencing an emergency, please call your nation's emergency telephone number.
All guests of Healthy Gamer are informed of the public, non-medical nature of the content and have expressly agreed to share their story.
For clinical or crisis support resources in your area, check out our Mental Health pack: https://bit.ly/41g77Ja
Learn more about the research that goes into making our videos: https://www.healthygamer.gg/citations
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Research Citations: https://www.healthygamer.gg/citations
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HealthyGamerGG
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Pinned by @HealthyGamerGG
@HealthyGamerGG
15 hours ago
EDITORS NOTE: I know its seems backwards to tell you guys to watch less YT but hes right. I'm trying to get better with having a podcast open on another screen as I'm editing.
Unlock your potential with HG Coaching: https://bit.ly/3O1Mmy8
675
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20 replies
@angelamarie7614
15 hours ago
Reads title
Yeah you’re right.
clicks video
6.3K
Reply
12 replies
@pretzel1611
16 hours ago
Youtube is my longest running addiction
8K
Reply
94 replies
@carloshuerta7946
15 hours ago
Can’t believe dr k is breaking up with me
2.6K
Reply
14 replies
@abhishekkhandkar
6 hours ago
At the peak of my depression, when I was ready to let the light fade, I came across a post on reddit that just said " watch positive stuff" and in the recommendations Healthy gamer was suggested. I started watching it. Then watched good films. Then some other positive stuff - funny, or silly or goofy but positive.
It's been two years. I am still struggling but I am not suicidal. I think I am doing a lot better. So yeah. For those moments, following the right content worked.
425
Reply
9 replies
@1perspective286
6 hours ago
The sad thing for me is that I don't binge YouTube all day because I think it's useful, I do it because it has the illusion of sociality. My friends all moved on to chase job opportunities elsewhere, and I don't trust anyone in my family anymore, so I use YouTube in lieu of a social life. You're not actually being social, but you can trick yourself into thinking you are, and I know there are a lot of people out there who use other forms of social media that way too.
165
Reply
4 replies
@AM2K2
16 hours ago
"An ounce of action is worth a ton of theory"
1.4K
Reply
11 replies
@turning_machine
17 hours ago
0:41 stopped watching, hope i didn't miss anything important
1.3K
Reply
22 replies
@Odisher7
16 hours ago
this is something i realized some time ago, where even my therapist had to go "hey i kinda think you already know everything you need to know and you should just apply it". And indeed i noticed that i was very stagnant no matter how much I learned, but when i tried to do things and experiment i would improve much quicker and stronger
674
Reply
3 replies
@ChaosSasori
26 seconds ago
For awhile i wasnt getting your videos reccomended to me and now that im seeing this on my algorithm means it must be time to get back into my self help addictions
Reply
@jomon324
7 hours ago
"Change comes when the pain of staying the same becomes too great" -David Bayles and Ted Orland, from Art & Fear: The Perils (and rewards!) of Artmaking.
I will never forget that phrase.
144
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4 replies
@autumnalbreeze8677
17 hours ago
Bro is sacrificing his views for our wellbeing. Very honorable and venerable you the goat
3.6K
Reply
50 replies
@hopper6280
16 hours ago
Watching this while shaving my ballsack btw.
2.2K
Reply
·
49 replies
@CaptainNinjaKid
14 hours ago
Youtube is legitimately my longest and most crippling addiction. Since 2013 I've frequently found myself watching over 40 hours of youtube a week. Many weeks in excess of 80 hours. It's impacted my work, school, sleep. It is something too accessible to consistently shut out. I'm turning 25 next week and I can confidently say I've spent close to a quarter of my time alive, not spent sleeping, just watching youtube. It is an addiction, I've worked with therapists, nothing helps long term. I even find myself watching most content between 2.2-2.7 times speed just to get through more content. I don't know how to escape it. It has been my primary coping mechanism since 2010 where I would watch videos to drown out the noise of a chaotic home. I often feel powerless when it comes to this addiction. Idk if anyone will see this rant but this video definitely struck a chord.
930
Reply
46 replies
@EmelDee-v1p
2 minutes ago
Wow! This makes so much sense! I always thought I was feeding my brain with all the educational videos I am watching.
Reply
@lukebravin
4 minutes ago (edited)
YouTube is the last addictive website I have left to kick. I still have Instagram but rarely go on it, I remade a Reddit account a few weeks ago, and quickly fell into it again so deleted the account. If it weren't for the kind of videos I post I would've deleted YT ages ago.
Reply
@dend1
16 hours ago (edited)
As I've gotten better I've started watching Dr k less, not because I'm uninterested, but because my self work has me more advanced at this point than the broadstrokes he's forced to work with. Still catch things when I can though
1.2K
Reply
·
11 replies
@KaneLivesAgain
17 hours ago
It's been fun Dr. K. Last YouTube video. See you around Space Cowboy
331
Reply
6 replies
@sixjwiansnskakad
17 hours ago
Incredibly selfless choice, instead of trying to farm engagement like many other self improvement gurus do Dr K is actively encouraging his viewers to make the change nessisary for a better life. Love this dude and I'll never forget the change he's had on me
404
Reply
·
8 replies
@swiinka
7 hours ago
I got into watching YT regularly during the pandemic. As I was stuck in my house (just like everyone else), I fell into a DIY craze and wanted to learn some things on how to renovate a house. 2 years later I realised that I'd watched hundreds of videos, but did absolutely nothing. Last year I finally laid off YT and started actually doing things, and it feels so much better. Of course I still watch some stuff, but now I am more selective. As an ADHDer, my go-to trick is to take notes on paper as I watch a video (I use my bullet journal for this, so that I can return to my notes easily later). This requires me to pause the video, write, basically I focus on the video itself instead of making it a background noise. Highly recommended!
56
Reply
2 replies
Transcript
0:00
All righty, chat. Today we're going to
0:02
talk about how to stop watching YouTube
0:04
in 2026. And I recognize the absolute
0:07
irony of me telling you to do that as a
0:10
YouTuber. But here's what I'm seeing,
0:12
and it's pretty disturbing. We're seeing
0:15
a lot of people watch more and more
0:17
self-help content on the internet. And
0:20
as you watch things like this channel,
0:22
which by the way, a lot of our content
0:24
is great. I highly recommend it. There's
0:26
an insidious problem that's starting to
0:29
grow, which is that people are watching
0:31
content like this. They're listening to
0:34
podcasts. We're doing all kinds of stuff
0:36
for our benefit, but it's not actually
0:39
resulting in a lot of benefit. So,
0:41
here's how this works. I decide at some
0:43
point to waste a little bit of time.
0:45
Maybe I'm taking a break from work.
0:47
Maybe I'm going to the restroom. And so,
0:49
I decide to open up something like
0:50
YouTube because I want a little bit of a
0:52
distraction. I want to entertain myself
0:54
a little bit. And then a really really
0:56
sneaky thought creeps in which is that
0:58
if I'm going to waste my time, why don't
1:01
I watch something productive, right? So
1:03
instead of watching some standup comedy
1:06
or some like, you know, improv comedy
1:08
sketch or something like that on
1:09
YouTube, why don't I pull up a Dr. K
1:11
video or a productivity video or a
1:14
podcast and at least that way when I'm
1:16
wasting time, I'm actually learning
1:18
something. So it's not really a waste of
1:21
time, right? That turns out to be an
1:24
incredibly insidious thought because
1:28
what I want you all to think about for a
1:29
moment is what determines the self-help
1:33
content that you watch. The scary thing
1:35
is that our job as YouTubers is to make
1:39
content that is not helpful, but that is
1:42
palatable, that is entertaining, that is
1:45
enjoyable. The metrics we're measured on
1:48
are not randomized control trials where
1:51
people look at, you know, how much
1:52
YouTube you watch and how much you
1:54
actually get better. Those are not the
1:56
kinds of videos that we make. We make
1:58
videos that are entertaining. We make
2:00
videos that get people to click them. We
2:02
make videos that people will watch to
2:04
the end. And so, what we're actually
2:06
doing is making content that isn't
2:09
designed to be helpful. It's designed to
2:11
be consumed. Now, before we get into
2:14
like, oh my god, all YouTubers are evil.
2:17
I want to take a moment and just share
2:18
with you that that's actually your
2:21
fault, not ours. Because I've tried
2:23
this. If I made a 2hour really, really
2:27
really, really helpful video, but it was
2:30
boring, but it didn't have a clickbait
2:33
title, but it was not something that was
2:35
easily doable, who would watch that
2:38
video? And it turns out that the answer
2:40
is no one. So, there's a very subtle
2:43
problem here, which is that the
2:45
self-help content on the internet is not
2:48
designed in a way to be helpful. It's
2:50
designed in a way to be consumed. But
2:52
that doesn't mean that it isn't helpful,
2:54
right? So, like people watch this
2:55
channel. It's hilarious. There's
2:57
actually a study at the American
2:58
Psychiatric Association that's being
3:00
presented this year on healthy gamers
3:03
content. So, this is wild. like we are
3:05
actually being studied by people at the
3:08
American Psychiatric Association for the
3:10
value of the content that we produce.
3:12
And it turns out that our content is
3:14
about as useful as the American
3:16
Psychiatric Association's content.
3:18
Right? So these are people that are not
3:19
trying to be entertaining. They're
3:21
trying to be helpful. And I watch
3:23
self-help content. I listen to podcasts.
3:25
And there's a lot of good stuff there.
3:28
Right? And there are absolutely people
3:30
that have been a part of this community,
3:31
have watched this content. It has
3:33
transformed their lives and they've
3:35
moved on. The problem though is that
3:37
there are people who have watched
3:39
content for years. There there's people
3:41
who consume every podcast on the planet.
3:43
They watch for hours and hours and hours
3:45
and hours and hours and they don't
3:47
translate it into something. So then the
3:49
question becomes what's the difference?
3:52
And in order to understand that we have
3:54
to dig into the psychology a little bit
3:56
more. When people hear about our
3:57
coaching program, their first response
3:59
is usually, "Why would I work with
4:01
another human being when I can watch
4:03
YouTube videos all on my own?" Working
4:05
with a coach is about amplifying your
4:08
time and effort. We're great at wanting
4:10
things and even making some progress,
4:12
but we usually struggle with follow
4:14
through or have some kind of setback.
4:16
And that's exactly where working with a
4:17
coach can help. Coaches provide
4:19
personalized support to help you set
4:21
appropriate goals, make progress, and
4:23
even work through setbacks. Just let us
4:26
know what your goals are, what kind of
4:27
support you're looking for, and we'll
4:29
match you with the best coach for your
4:31
unique needs. Check out the link in the
4:33
description below to see if coaching is
4:34
right for you. So, it comes down to this
4:37
idea of let me just watch some content
4:40
and be more efficient, right? So, this
4:42
is something that happens so often where
4:44
like if I'm sitting down to do some
4:46
dishes or clean my kitchen, I'm going to
4:48
turn on a podcast. If I'm waiting for a
4:51
queue to pop in a game, I'm going to
4:53
have healthy gamer GI and Dr. Okay, on
4:55
my second screen. So, at least I'm using
4:57
that time efficiently. And so, this
4:59
self-help content that we watch becomes
5:02
bonus. It becomes free. It becomes
5:05
incredibly efficient. It becomes
5:07
something that isn't a priority that I'm
5:10
dedicating my time to, it starts to
5:13
become extra. And the problem with that
5:15
is that if it's something that's extra,
5:17
if it's something that's free, that
5:19
means it doesn't cost me anything. I'm
5:22
gaining something without spending
5:24
anything. And the moment we shift into
5:27
that idea, that's when we run into a
5:30
huge problem. Because the moment that
5:32
our brain starts to think this is
5:33
something that I'm getting for free, at
5:35
that point we become unwilling to pay a
5:39
price to actually improve our life
5:42
because we have tricked our brains or
5:44
our brains have tricked us into thinking
5:46
that this is something I can get for
5:48
free. So, there's a really good example
5:50
of this which comes from something
5:52
called motivational interviewing, which
5:54
is an evidence-based technique for
5:56
helping people overcome addictions. So,
5:59
in motivational interviewing, we learn
6:00
about something called ambivalence,
6:02
which is sort of this internal conflict.
6:05
I want to make a change, but I don't
6:06
want to make a change. So, here's the
6:08
way that this looks. When I start out
6:11
making a change, when I decide to make a
6:13
change, I think about the benefit of the
6:15
change, which is a far far far away.
6:17
Let's say that it's January of 2026 and
6:19
I'm going to sign up for a gym
6:21
membership. When I sign up for a gym
6:24
membership, what motivates me to do
6:25
that? It's the benefit of going to the
6:27
gym. It's thinking to myself, okay, if I
6:29
go to the gym for 6 months this year, if
6:31
I work out three times a week, I'm going
6:32
to get an awesome beach bod. I'm going
6:34
to be ready for summer. It's going to
6:35
improve my health. It's going to be
6:37
really good for my mental health. There
6:38
going to be all these benefits. We do
6:40
things because of the benefits. And so
6:43
the moment that I sign up for the gym,
6:45
I'm thinking about all the benefits but
6:47
not thinking about the costs. And then
6:49
we run into a problem because when I
6:51
actually go to the gym, what I do is pay
6:54
the costs without actually getting a
6:57
benefit. Right? I don't have a Beachbod,
7:00
the first time I go to the gym and I'm
7:02
huffing and puffing and sweating on the
7:04
treadmill and wondering why I ever came
7:06
here and I want to stop and I want to
7:07
leave early and oh my god, I'm so out of
7:09
shape. We start to have all of these
7:10
negative thoughts. So there's something
7:12
really interesting about human behavior,
7:14
which is that when we think about a
7:15
goal, it's all upside. And as we move
7:17
towards the goal, the cost actually
7:20
increases. This is why we don't stick
7:23
with stuff. We start something and we're
7:24
like, "Oh my god, this turned out to be
7:26
so much harder than I thought." And then
7:28
we decide to move in the opposite
7:29
direction. Okay, forget about the gym.
7:30
Now what I'm going to do is make a video
7:32
game because that would be really cool.
7:33
I'd make a lot of extra income. I love
7:35
video games. It'd be awesome to make a
7:37
game. I'm so excited. I have all these
7:38
ideas. And then you start the process of
7:40
learning how to code and then you run
7:42
into bugs and then you run into more
7:44
bugs and you run into more bugs and then
7:46
you realize all the work that you put in
7:47
doesn't really work because you weren't
7:48
sort of thinking about the architecture
7:50
of the game at the very beginning and so
7:52
then you quit. The way we help people in
7:54
motivational interviewing is by helping
7:56
them appreciate the cost. And so if we
8:00
want to stop wasting our time with
8:03
self-help content, there's one really
8:05
simple thing that we need to do. We need
8:08
to start separating out improvement from
8:12
entertainment. It's not something that
8:14
we're doing extra. It's if you are going
8:17
to improve something, that should be the
8:19
dedicated goal that you spend. It's not
8:22
on your second monitor. You are going to
8:24
sit down and intentionally
8:27
learn something for the sake of
8:29
implementation. And like I said, a lot
8:31
of people have benefited from this
8:33
channel. I have benefited from a lot of
8:35
the great content on the internet. And
8:37
here's the difference between people who
8:39
benefit and people who don't benefit.
8:41
Some people start doing the thing and
8:45
then consume content in a targeted way
8:48
to improve the thing. I'll give you all
8:51
an example from my life. I like watching
8:53
cooking videos. But the cooking videos
8:55
that are helpful to me are not the
8:57
random videos that I click on because I
9:00
think the thumbnail is cool. It's stuff
9:02
like, okay, if I'm going to learn how to
9:03
grill, I'm going to spend some time
9:05
grilling. And once I spend some time
9:07
grilling, I run into problems with the
9:09
things that I grill. My carrots are not
9:12
tender, and if they get tender, they get
9:14
burned. This was a huge problem that I
9:15
ran into. So then I'm going to watch a
9:18
targeted video to help me solve that
9:21
problem. Here's the big difference. The
9:23
work, the energy investment, the cost
9:26
comes first. That is actually the
9:28
primary thing. and watching content to
9:32
supplement that comes second. It is not
9:34
something extra that I'm doing. It's not
9:36
something that I get for free. I pay the
9:38
price upfront. So, if y'all want to stop
9:40
wasting time on YouTube or Tik Tok or
9:42
Instagram, one thing that you need to
9:45
do, there's no more free extra or
9:47
efficiency of learning. Either you are
9:50
learning or you are wasting time. Don't
9:54
confuse the two. Hey y'all, hope you
9:55
enjoyed today's video. We talk about a
9:57
bunch of topics like this on the
9:59
channel, so be sure to subscribe for
10:00
more. If you're already subscribed, GG,
10:03
and we'll see you in chat.