You’ve seen the Going Dark API posts. I’m out. I’ll be using an app to nuke my content from Reddit at the end of the month. Save this or don’t.
Personal Arizona cannabis recommendations
Based on comments from reddit.com/zonaents
Updated 2023-06-08

DISPENSARIES (best)

• Ponderosa - Glendale
• Sticky Saguaro - Chandler (favorite)
• TruMed - Phoenix (close to PHX Sky Harbor airport), 1
• Earth's Healing - North, South Tucson
• Halo - Tucson
• High Mountain Health - Flagstaff

ROSIN carts (use ≤ 2.0v, let cool between)

• Summus (disposables, very expensive!)
• Abundant Organics (consistent coil burn, inc. new triangle boxes)
• Local Flower (consistent coil death)

LIVE RESIN carts

• Cresco Live (Sonoran Roots "SR" colab only)
• Canamo Live (only @ BOGO, check dates)
• Canamo Disposables
• Grow Sciences (4/$100)

RESIN + CDT carts (“Live”)

• Select Elite Live
• Timeless NOIR Live (overpriced, even @ BOGO)

BUDGET carts (cheap, distillate)

• Cresco
• Canamo
• Item 9 (excluding Orion pods b/c Genesis flower)

ROSIN jars

• Farm Fresh
• Canamo (not dry sift)
• DRiP (TruMed colabs)
• Abundant Organics (only @ BOGO)
• Grow Sciences 1, 2

LIVE RESIN jars

• Melting Point Extracts [MPX]
• DRiP

GUMMIES

• Defi
• Wyld (when on sale)
• Ogeez (distillate, budget choice)

FLOWER

• TruMed house
• Potent Planet
• Sonoran Roots (only from deli jars @ Ponderosa) 1
• Farm Fresh
• Abundant Organics
• Alien Labs/Connected 1
• Grow Sciences 1, 2

FLOWER budget 1, 2, 2

• Ponderosa discount bags
• Sublime

RSO

• Canamo RHO
• Ponderosa RHO

GLASS/SMOKE SHOPS

• HIGH Maintenance Smoke Shop - Tempe
• Bud’s Glass Joint - Phoenix
• It's All Goodz - Tempe, Phoenix, N. Phoenix
• Spaceman and Bongs - Peoria
• Angel Eyes - Gilbert
• Sky High Smoke Shop - Tempe

AVOID dispensaries

• There's a Federal checkpoint south of Tucson. It is illegal to bring cannabis through. 1
• Curaleaf 1, 2, 3
• Debbie’s - Peoria, Phoenix, demoted from Favorites March '23 1, 2
• Downtown/D2 1
• Flower Shop 1, 2, 3
• Harvest 1, 2, 3, 4, 5
• The Mint 1, 2
• Nirvana 1, 2
• Sol 1, 2

AVOID 1

• Copperstate (inc. Jukebox, Sol, & Good Things Coming) 1, 2, 3
• Dr. Zodiak 1
• Genesis (inc. many Item 9 Orion pods) 1, 2, 3, 4
• Green Pharms 1
• I.O. 1, 2, 3, 4
• Jeeter (has lots of fans in CA, but many complaints about headaches in AZ) 1
• Modern Flower (Harvest's house flower) 1, 2
• Mohave 1
• Oasis 1
• Potent Planet CRC, 2
• Stiizy 1, 2
• Tru Infusion 1, 2, 3
• Venom 1, 2, 3, 4

So I am looking at getting my first watch. I have 2 I really like but I’m not sure I want to jump in at such a high price point. As you will see I’m a sucker for blue and silver color schemes. These are the two I really like.
https://www.baume-et-mercier.com/us/en/collections/classima-men/watch-classima-10707.html
https://www.longines.com/en-us/p/watch-the-longines-master-collection-l2-919-4-78-3
I was looking at maybe the William Wood Chivalrous in Gunmetal with the blue firehose band. ($635). Any other recommendations would be truly appreciated! Thanks!
https://williamwoodwatches.com/en-us/collections/chivalrouscollection/products/gunmetal?variant=43044513546489

Overview
In electronics, AI (artificial intelligence) chips are dedicated processors used to run AI algorithms. The difference from normal chips (CPU/GPU for general purpose) lies in the emphasis on specificity and versatility. CPU, GPU, FPGA, and ASIC chips can all execute AI algorithms. And to a certain extent, GPU and FPGA can also be regarded as AI chips, but ASIC has more distinctive features, so it is also the most representative. So what they are and why they matter?
​
What is AI Chip?
The so-called AI chips generally refer to ASIC (application-specific integrated circuit) chips. Both traditional CPUs and GPUs can be used to execute AI algorithms, but their speed is slow and performance is not good enough, making them impractical for commercial use. For example, automatic driving needs to recognize road pedestrians, traffic lights and other conditions, but if the current CPU is to calculate, then the car may overturn into the river before calculation results, which is a slow performance. If you use a GPU, the speed is indeed much faster, but the power consumption is high, and the battery of the car may not be able to support normal use for a long time, and the GPU is not economical, that is, ordinary consumers cannot afford it. What’s more, GPUs often out of stock. In addition, the GPU is not an ASIC specially developed for AI, so the speed has not reached its limit, and there is still room for improvement. In fields like intelligent driving requires fast calculation; in mobile terminals, AI applications such as face recognition and voice recognition must have low power consumption. Obviously, GPUs cannot meet the requirements, so the development of ASIC has become inevitable.
​
Why It Matters?
So why do we need AI chips? For AI algorithms, CNN (convolutional neural network) is commonly used in image recognition and other fields; RNN (recurrent neural network) is mainly used in speech recognition, natural language processing and other fields, which are two different types of algorithms. However, they are essentially matrix or vector multiplication and addition, and then cooperate with division, exponent algorithms.
A mature AI algorithm, such as YOLO-V3, is a large number of calculations such as convolution, residual network, and full connection, which are essentially multiplication and addition. More over, if the specific input graphic size is determined, then the total number of multiplication and addition calculations is determined, like one trillion times, of course, the real situation is much larger than this. If you want to execute it quickly, one trillion additions and multiplications must be performed.
Let’s take another example, such as IBM’s POWER8, one of the most advanced superscalar CPUs for servers, 4GHz, SIMD, 128-bit, assuming that 16bits data is processed, that is 8 numbers, and a maximum of 8 multiplication and addition calculations can be performed in one cycle, performing up to 16 operations at a time. But this is theoretical, it is unlikely in fact.
At this time, the peak calculation times of the CPU in one second = 16X4Gops = 64Gops. In this way, one CPU calculation time can be calculated. And the execution time can also be known by switching to GPU calculation. Let’s talk about AI chips, such as Google’s TPU v1, which is about 700MHz and has a pulsation array of 256X256, as shown in the figure below. A total of 64K units, and each unit can perform one multiplication and one addition at a time, that is 128K operations.
​
Systolic Data Flow of the Matrix Multiply Unit
In addition to the systolic array, there are other modules, such as activation, etc., which also include multiplication, addition, etc. Look at the peak calculation times of TPU v1 in one second is at least = 128K X 700MHz = 89600Gops ≈ 90Tops, compared with the CPU, you will find that there is a gap of several orders of magnitude in computing capability. Of course, the above data are completely ideal values, and the actual situation may be only 5%. Because the storage on the chip is not large enough, the data will be stored in DRAM, and the data extraction is very slow, then the multiplication logic often has to wait. In addition, the AI algorithm consists of many layers of networks, which must be calculated layer by layer. However, when switching layers, the multiplication logic is free. Therefore, many factors have caused the actual chip to fail to reach the calculation peak.
Although it can be used with slow calculating speed. But at present, the size of the neural network is getting bigger and bigger, and there are more and more parameters. When encountering a large NN model, it takes a few weeks or even a month or two to train, which wastes too much time. If you encounter a sudden situations, such as power outages, have to start all over again. Moreover, if the model is modified, it will take several weeks to know whether it is right or wrong, and no one has so much patience to wait. But with TPU, then you find that you can continue to run by optimizing the parameters during a meal. That is, fast calculation speed enables rapid iteration and development of a stronger AI model.
A deeper comparison can be made clearly for the kernel structure of the GPU. To be sure, the GPU is still relatively fast, at least much faster than the CPU, so most of them currently use the GPU, but don’t forget the GPU disadvantages mentioned earlier, so it is not suitable for large-scale use in data centers. Generally speaking, CPU and GPU are not AI-specific chips. Because they have to realize other functions with other logics inside, which are completely useless for the current AI algorithm. Their performance cannot be used optimally. So it can be seen that it is reasonable for Google to spend money to develop its own AI chip TPU.
​
AI Chips Design Principles
AI chips follow a hardware design rule: Sacrifice certain versatility to improve the efficiency of specific services. A well-understood example is Bitcoin mining. Bitcoin's basic algorithm is the SHA256, which is based on the hash algorithm, so there is no reverse formula, and it can only rely on mining machines to exhaustively enumerate a large number of possible values. For each block, the miner who first tries to get the correct value will be rewarded. So the faster the calculation, the higher the expectation of winning the reward.
For mining chips, both CPU and GPU have become the mainstream ever. However, as time goes by, GPU mining has become less useful. For example, the RTX3090 graphics card can perform 126.5M SHA256 calculations per second under overclocking conditions, and the total computing power of the entire Bitcoin network has exceeded 178.6EH/s, which is equivalent to the sum of the computing power of 1.4 trillion RTX3090 chips. Therefore, the current mainstream is ASIC mining, which are designed for the SHA256 algorithm, so ASIC mining far better than GPU, and even a single mining machine can overcome supercomputing centers. However, ASIC mining sacrifice generality in hardware, making it impossible to perform other computing tasks, and even unable to mine non-SHA256 algorithm blockchain currencies, such as Ethereum (which is a technology that's home to digital money, global payments, and applications. ).
In the example of Bitcoin mining, it can be seen that a dedicated chip is the most suitable: the algorithm or operator is fixed, and it is relatively simple in the application scenario. The AI chip has the same characteristics as the mining machine, emphasizing the computing efficiency in special scenarios, but the implementation scenarios are different.The purpose of the AI chip is to execute AI algorithms efficiently, so it is also called an AI accelerator. In addition, a bunch of other names are derived, such as NPU (neural network processor), TPU (Google’s tensor processor), APU ( AMD’s accelerated processor), whose properties are very similar.
​
AI Chip Classifications
AI chips can be divided into two categories. One is for both training and inference, and GPU or CPU can also do it, FPGA (Altera's Stratix series) either, but the TPU v2 and Bitmain's sophon may have an advantage in energy consumption. Compared with GPU, it retains a considerable number of floating-point processing units (or building a lot of tensor computing units), discards some useless graphics pipelines, and improves the energy consumption. There are fewer players in this part, but they are more interesting. For example, ICLR is also thinking about training with fixed-point devices, while Xilinx hopes that XNOR-net can allow fixed-point devices to participate in training.
The other type is the inference accelerator chip, which simply means running the trained model on the chip. This piece is really full of flowers, such as the Cambrian NPU, Intel Movidius (there is also a Nervana that should be similar to XeonPhi for training), Shenjian DPU, Horizon BPU, Imagination's PowerVR 2NX, ARM's Project Trillium, etc. This type of product provides IP for all developers to integrate deep learning accelerators into SoCs.
In addition, we need to talk about Tegra X2 separately. This is equivalent to a small desktop platform. The ARM processor plus Nvidia GPU can provide complete training and inference capabilities. Of course, the power consumption is also high. For other acceleration chips, I think it is best to divide them into two categories, floating-point and fixed-point. Floating point is only FP16 half-precision, of course, it supports FP16 and INT8, such as Cambrian’s NPU and Intel ‘s Movidius. In terms of fixed-point, it is easy to think of Horizon BPU and Imagination's PowerVR 2NX.
​
Development of AI Chips
Here we will take Google TPU as an example.

1. Parallelization

In order to better accelerate the reasoning of the model, it is necessary to summarize the characteristics of the actual model, find problems, and then make targeted optimization. The algorithm of the AI chip is usually based on the convolutional neural network. Faced with its huge amount of calculation, the CPU can only perform limited calculations in a single clock cycle, and calculation bottlenecks are prone to occur. Where the GPU improves the performance of parallel computing, and converts the equivalent transformation of the convolution operation into a multiplication and addition operation of the matrix, which has become the mainstream hardware for neural network training.
The core of model acceleration is to increase the level of parallelization and perform as many operations as possible in the same clock cycle. So the TPU redesigns a dedicated hardware architecture: the systolic array.
See the figure below for the systolic array of the TPU. The calculation results are not directly output, but "flow" in the array according to the law, and saved after the calculation is completed. It not only increases the degree of parallelism, but also realizes the reuse of parameters and avoids repeated loading. And this array can perform 65536 multiplication and addition operations of 8-bit integers per clock cycle. Under the main frequency of 700MHz, an amazing computing power of 65536 * 700,000,000 * 2 [email protected] is realized.
​
TPU-Systolic-Array
​

1. High-speed On-chip Storage

Google mentioned that in the neural network it deploys, the number of parameters ranges from 5 million to 100 million, and the intermediate results also have a large amount of data. If the convolution operation unit (such as a systolic array) is frequently performed from DDR:
1) Load parameters
2) Read data
3) Write results
Similar to the barrel effect, it is the shortest piece of wood that determines the water capacity, which is the performance bottleneck. The above-mentioned intensive DDR read and write operations make the IO speed easy to become the performance bottleneck of model reasoning. Therefore, TPUv1 is equipped with 28M bytes of on-chip memory (OCM). Although the cost is relatively high, the read and write speed is far superior to that of DDR. What’s more, the TPUv2 is equipped with 16GB of HBM storage, and its IO speed reached 600GB per second.
With a cache (OCM or HBM), frequently used parameters can be loaded into the cache in advance at runtime, and then the convolution kernel can quickly read the data without repeatedly loading from memory. Not only that, the on-chip memory can also save the intermediate results of the network operation, avoiding transfer (write + read back) on the memory, thereby significantly reducing the IO pressure of the memory.
The role of the cache here is similar to the L3 in the traditional CPU. The purpose is to effectively lower the pressure on the memory, so that the powerful computing power of the convolution kernel can be fully utilized, to avoid the situation of invalid waiting for data loading.
And the paper 2 experiments and counts the running performance of several mainstream models on TPU/GPU/CPU.
The horizontal axis is the required computing power divided by the amount of data that needs to be counted from the memory, which represents the computing density corresponding to the unit memory data loading, while the vertical axis is the actual computing power. Therefore, the slash part represents that the computing performance is restricted by the memory IO bandwidth, while the horizontal part represents that the performance has been fully utilized.
​
Operational Intensity: Ops/weight byte (log scale)
As shown in the figure, TPU is significantly better than CPU and GPU at high computing density. It can be seen that under high computing density, TPU can play a greater advantage.

1. CNN Quantization Algorithm

In addition to hardware design, in order to make the AI chip run the model more efficiently, it is necessary to perform lightweight processing on the AI algorithm, which can significantly reduce the size of parameters and the amount of calculation. The current neural network training is basically based on floating-point operations. When training and reasoning on the GPU, 32-bit or 64-bit is usually used to represent a floating-point number. If a lower number of bits is used, such as using 8 bits to represent numbers, the parameter size and calculation amount will be greatly reduced.
The figure below uses an 8-bit integer Q to approximate a 32-bit floating-point number.
​
32 bit float
This operation brings a certain quantization noise, and a good neural network will have a certain anti-noise ability, so the accuracy loss of the algorithm after quantization will be limited and controllable. Another advantage of quantization is that if the input and parameters of the model are quantized into integer numbers (such as int8/uint8), there is no floating-point calculation, which can simplify the hardware design. As mentioned above, the first-generation TPU only supports integer operations, not only because integer operations are more efficient in hardware, but also because the circuit is much simpler.
At present, there are two mainstream quantification methods:
​
Mainstream quantification methods
QAT uses the quantization operator when training the model. It can avoid the loss of precision to the greatest extent, but it cannot use the existing floating-point model and needs to retrain the model from scratch.
PTQ is to quantify the existing floating-point model, although the accuracy and efficiency of the model are not as good as QAT, there is still a great demand for use because there is no need to retrain the model and the threshold for use is lower. Here is a point, how to reduce the loss of accuracy is the goal of the PTQ program, and it has also produced a variety of ideas, such as linear quantization and logarithmic quantization.

1. Efficiency and Cost

In addition to the essential 3x3 convolution, there are dozens of common neural network operators. Because of the chip cost, design difficulty, and operating efficiency, existing AI chips can only support some operators. Therefore, it is necessary to understand and consider hardware capabilities during model training, and try to use operators that can be efficiently supported by AI chips to improve efficiency after deployment. Conversely, when designing the hardware of the AI chip, it is also necessary to consider the needs of algorithm design, and try to support more commonly used operators to improve the degree of freedom in model design.
If the manufacturer has the collaborative development capability between hardware, it can achieve a very good balance between model accuracy, chip cost, and inference speed. This is why more and more terminal manufacturers choose self-developed chips, and AI chip manufacturers often package algorithms for sale.
Note: This original content is from my blog KUKE Electronics.

A little background info on my situation… Back in Sept 2016, I was diagnosed with Type II diabetes, Peripheral Vascular Disease, Peripheral Arterial Disease, High BP, High Cholesterol, Diabetic Retinopathy in both eyes (laser surgery done to correct), severe neuropathy in both hands and, well, my feet ( until I lost them both)…there’s probably a couple more that I can’t think of off the top of my head.
Right leg was, at that time, worse off than the left. Vascular doctor assured that all will be done to save the leg, but in the end, I could lose it. Long story short, I had a diabetic ulcer on my heel that wouldn’t heal properly…snapped the calcaneus bone in my heel. Ended up amputating the right leg. Got a prosthetic, worked my butt off and was walking without any mobility aid within 30 days.
Feb 2020, I had another diabetic ulcer, this one was on the underside of my left Great (big) toe…result was amputation of the toe. Quit working as it was difficult for me to stand my cashier shift on 1 prosthetic leg and 4 toes. Filed for disability.
March 2022, I completed a virtual training course with the Amputee Coalition and became a volunteer Certified Peer Visitor.
Oct 2022, I ended up with a flesh eating bacteria in my remaining left foot…resulting in an amputation. Got a left prosthetic in Feb 2023 and was walking on both well for about a month, maybe a little longer. My prosthetist suggested that I look into having a PT Evaluation done, just to see if I needed the extra help, information, tips…or whatever Physical Therapy can offer.
I am a bilateral BKA and have been in PT for about six weeks, going two days per week and for 45 mins per session. My issue now is that I’m having a LOT of phantom sensations (more than before and sometimes they come through as sharp pains). My therapist and prosthetist both agree that it’s mostly coming from the nerves in my limbs, I’m not so sure that I agree. Has anyone else experienced this? How did you ease the sensations and aches?
TL;DR: Bilateral BKA in PT for about 6 weeks, having phantom sensation and pain in both limbs. Make it stop, will it stop?

1. Sonnet 18 by William Shakespeare: "Shall I compare thee to a summer's day? Thou art more lovely and more temperate: Rough winds do shake the darling buds of May, And summer's lease hath all too short a date..."
2. The Raven by Edgar Allan Poe: "Once upon a midnight dreary, while I pondered, weak and weary, Over many a quaint and curious volume of forgotten lore— While I nodded, nearly napping, suddenly there came a tapping, As of some one gently rapping, rapping at my chamber door..."
3. The Road Not Taken by Robert Frost: "Two roads diverged in a yellow wood, And sorry I could not travel both And be one traveler, long I stood And looked down one as far as I could..."
4. I Wandered Lonely as a Cloud by William Wordsworth: "I wandered lonely as a cloud That floats on high o'er vales and hills, When all at once I saw a crowd, A host, of golden daffodils..."
5. Harlem (Dream Deferred) by Langston Hughes: "What happens to a dream deferred? Does it dry up Like a raisin in the sun? Or fester like a sore— And then run?"

These examples represent different themes, forms, and poetic techniques, showcasing the diversity and richness of poetry as an art form.

35m, 5’6”, 160lbs
Background: prescription of sulfamethoxazole-trimethoprim (800mg/160mg) for what was possible a UTI, experienced three bed wetting occasions in 2 weeks. Don’t drink or do drugs for 8+ years.
UA with culture all negative except +1 ketone, comp med panel normal, cbc normal, no PSA, normal hemoglobin A1C. All this was on Saturday.
Took one dose on Monday at 10am
Day 1 Side effects: Felt like I was high, more emotional than normal, couldn’t focus and was tingling all over , headache, neck sore, and knee and shoulder pain, chills and cold, not hungry, Didn’t eat the whole day after bfast which I had before the dose
Day 2: Tingling all especially my back. rapid heart beat for over an hour after eating, insomnia and waking up sweating much better focus and less emotional
Day 3: Not hungry, also scared to eat since it is such a roller coaster of symptoms, no sleep last night, occasional sharp or sore and dull back pain especially right side, back feels stiff and off especially when bending over. Getting gassy, burping, and looser stool. Also teeth have felt sore since day 1.
Day 4: High heart rate, putting on shoes took me to 150bpm , all heart rate is 20 higher than normal resting and 40 higher for normal tasks like dish washing also still not hungry but am tired
Have a virtual appt setup for Monday but that feels far away
Lung damage ? Heart damage? Drug induced aseptic meningitis?
time to go to an ER
Thanks.

Hey Houston peeps!! You know what time it is - SUMMERTIME! and the livings easy.. Bradley’s on the microphone wi- sorry got carried away in song! 😂 It’s summertime and you know what that means? HIGH ELECTRIC BILLS! Who wants to pay $200-$300 a month just for our basic needs? It’s a SCAM. Let us help you and help planet Earth! Did you know that solar adds a median of $12,500 to your home value according to Rocket Homes? Without raising your property tax!! No money out of pocket! Yes, you read correctly! But, nothings free, this has to be a scam.. NOPE! It’s considered a “utility swap” therefore we don’t need money up front, we only want to help you replace your high electric bill with low monthly payments to pay off the panels themselves. We hook you up with a system that overproduces based on your average usage and the extra you don’t use gets sent out to your neighbors, making your meter run backwards, making the electric company owe YOU MONEY! Or you can put it towards credit to paying off your panels! Up to you! In 2020, 43% of all new electric capacity added to the grid came from solar! And the percentage keeps on rising! It’s no fluke. Solar has been rated #1 in new electric capacity additions increasing its share of total U.S electrical generation from just 0.1% in 2010 to 4% today! That is HUGE! 46% of homeowners are or have considered getting solar panels in the past YEAR. That’s incredible! If it’s apparently “so expensive” like a lot of sites claim, why are so many lower to middle class neighborhoods obtaining it? Because it’s not as expensive as you think! And it WORKS! Please, allow me to lower your bill while also giving you life changing equipment that will benefit not only you but Mother Nature! If you are interested or have any questions please reach out or comment below! Have a wonderful day!! 😊

Hi all, so basically I've been doing high-end landscape construction, and maintainence for 9 years now learning how to do stone masonry, japanese style pruning, water features, design concepts, fencing/carpentry, etc... Basically I became super skilled, and spent the past 4 years as a project manager for probably the top most quality landscape installation company in my area. I don't say this to boast, just to emphasize my difficulty in valuing my work in the future. Currently I'm making $30/hr which I know is much below my marketable value, especially taking into account that I am tied to the schedule of the company, which fluctuates in activity. I've kept around the past two years managing as a debt of gratitude to my boss who is slowing down and is planning to retire sometime.
My conclusion that I've come to is that I feel like as someone highly skilled in my trade, and with good people skills, I should be able to own a house, and somewhat comfortably support a family of 4 in the city which I live in, which I believe requires a minimum of $78,000/yr. I also imagine that in the high end market, I will be finding myself having a couple of months per years worth of time off, and then working 30/35 hrs a week for 10 months worth of time. So minimum for my personal hrs I'd need to charge $65/hr. Part of me feels like it's too small as it won't follow the impending inflations, and I feel like it's about what is averagely charged by others right now that are not as skilled in design, or installation as I am. Like how much more should I charge for the service because I am more skilled, and artistic than others? Should I charge any more for that? Is it a monetary value, or just an attraction value?

Do you know how some decisions in life just feel so right? Imagine a nice warm pizza right out of the oven. The pizza is covered in gooey cheese, warm meats, and whatever else will delight the eyes and nose so late into the night. So image, if you will, going out for just the briefest of seconds to enjoy the crisp feel of the fall air on your face. You come back to the apartment building that you, and appropriately 50 or 60 of your neighbors call home, only to find smoke billowing down the halls as you suddenly remember that you turned on the burner, and not the oven to preheat, and the smoke is from that pizza you left on the stove. If you feel like burrowing down the deepest hole after reading that, just remember that you are not alone. In the last week, I have taken a job at a hydroelectric power station as an operator, which at the time felt like an easy no-brainer decision. The job description was nothing if not a little enticing. There was a hefty sign-on bonus, more money than even I thought I was worth, and housing courtesy of the Corps of Engineers, which consider the aforementioned fire above, I needed pretty badly. My name is Kate Fugate, I am 24, and in so, so much, debt that I have moved to a small town in the northern Appalachia wilderness hoping to carve out a life here. The town is very small, having a few local stores primary consisting of convenience stores, gas stations, and dollar stores. The town is deeply forested and has recently had the honor of having this vast area be designated a National park. The houses are sandwiched into a sharp valley, consisting of a river, sprawling train tracks, and speckled with bridges of all makes and builds. If you were to come here at night, and I very much doubt you would be here at night, you might also take notice of the emergency room-slash-post office combination with twinkling neon lights. If you plan on staying here for very long, and once again, I doubt it, you should get to know the staff. The main attraction, and the reason that I am christening this journal, is that as much as I would like to believe otherwise, this place is weird but we will get into that more a bit later. What should be the most prominent feature of the town, the dam, is actually not in town. It is about 15 miles upstream, hidden on an unmarked road nestled in a forgotten corner of the park. This fortress spans the length of the river from hill to hill, and is a huge concrete wall with an office building made of brick and a stunningly massive art -deco window spanning the two floors of this structure neatly tucked off the side like an after thought. There are massive, brilliant flood lights spanning the entire length of the dam and stretching pretty far upstream. The concept is pretty simple, water goes in, spins turbines, and comes out on the other side, and creates the miracles that we all know and love: electricity. In addition, this place prevents flooding and is an all-around great place for serving the town as an early indicator for fires and other disasters. To make matters even more excruciatingly boring and downright fucking frustrating is that there no cell or internet connections to the dam or the cabin nearby that I get to call home. The formal answer I got back for this pile of fake manure is that the cell tower determined the population to “insignificant” to put a cell tower in this area, which I can almost buy. The sorry excuse for the internet is that the park service determines this spot too high of a national security threat and doesn’t want the risk of Russians destroying the place or something, this reasoning being absolutely shit if you ask me. In order to still get a tiny shred of civilization, I have to climb a stairway to heaven itself up a fire tower, on a hill to get just enough Wi-Fi to keep some semblance of sanity. And let me tell you, my ass is burning, my tounge is dry, and my lungs are one iota from exploding from the effort, and it is worth it. My first day here started off with my coworker, Sam, showing up two hours late for our designated meeting. He was dressed in bright white pants and a striped plunging v-neck tiger shirt and I would be lying if I didn’t say my first impression was trying to find a camera crew, because I was just certain that someone was trolling with me. He was average height, approximately 35, black hair, blue eyes, and very well groomed hair, and huge muscular arms and, all-in-all, gave off an energy that he thought he was a very pretty boy. We shake hands, before he cocks his head and give me a quizzical look, “Hey I noticed on your paperwork, is your name actually —“ I cut him off hard and fast, “Yes, it is. My parents were a bit, well, downright eccentric, alright? Don’t use that name, don’t even remember it alright. Do me a favor and call me Kate, Katie if you prefer.” He looks a bit taken aback and I feel a shred of remorse for the hostility, “Can do, may name is Samuel Carrington but Sam sounds more approachable if you wouldn’t mind using that.” We take a quick tour of the facility going into the offices, him quickly pointing out the landlines, emergency switches, exits, ect. He goes over the more technical aspects of the job, but then stops right before going into the turbine room, looks me dead in the eye with more seriousness than I thought was possible. “There are only a handful of rules you absolutely must follow: 1. Treat the equipment well, it is fucking EXPENSIVE and a lot of it is specialized. There is no hydroectric repair store just sitting around the corner. 2. Do not leave the site. I am dead serious about this one. Do. Not. Leave. The. Site. The only time you can leave is if you have someone competent here. I am only here two days a week as I have other obligations with the government, as you know the rest is up to you until we can get more people here. 3. Don‘t turn off the turbines for any reason. There are people downstream that stake their lives on the continual operation of this place. 4. If, for whatever reason, this place can not operate due to exceptional circumstances, or can no longer contain the river you must activate the emergency system. In addition to letting out an alert, it allows for people to know in advance to get to higher ground. This is critical, we are the only thing preventing everyone downstream a brutal watery demise.“ We head continue the turbine room talk about more dull operating procedures and then stop by a small office space. Sam stops and swings open the door which reveals all of a tiny efficiency apartment. “This is my room while I am here, if you need anything feel free to swing by.” He gives me a wink as I contemplate vomiting on his stupid gold tasseled shoes “We have a cabin for you since no other apartments exist and it was left furnished by my last guy.” We walk a short gravel path uphill to a small old cabin with a porch. He swings open the door, leaving very little to the imagination. Bed and mattress, fridge, stove, fill nearly all the available space. Right smack in the middle of the table sits a pissed off mostly hairless cat, that jumps off the table gives us a hiss for good measure and runs off into the woods. “Look, we can probably get rid of that if you want. I have no clue how it got in here, or hey, look at it this way! You already have a built in roommate! Feel free to decorate this place anyway you want, if you want I can go get us some food, and I can help you move in. Tomorrow I can go on a grocery run.” I open the cabinet to find an assortment of canned oddities left over from the last occupant. “No, that really won’t be necessary, but thank you so much for the offer.” I say trying to be nice. And then the thought occurred to me that this guy is being perhaps a bit too friendly. “Hey, is it alright if I have some, umm, well, overnight friends over? Very special female friends?” I asked trying to be subtle to see if that would discourage him. “Well douse me in gasoline and toss me a match. Are you a lesbian? That is so freaking awesome! I love chicks too, how cool is that? I shoulda known what with the flannel and pickup truck.” He says, totally oblivious to my growing acceptance that this guy was mostly harmless, if not a touch stupid. Sam cracks open the fridge, and rapidly shuts it back, as a slightly warm pungent smell swaggers into the room. “Yeah, definitely gonna get some real groceries tomorrow.” “Yep, that’s me, I’m a super lesbian.” I lie feeling like this statement may come back and haunt me. I turn on the kitchen facet as black water spills out. Sam looks at it a little concerned, “Might want to let that run for a bit, if it doesn’t clear soon, I’ll look into having it fixed. But look, seriously, if you need any help at all, don’t hesitate to call. This place is pretty spooky and it is easy to get hurt or in trouble out here. I’ve only been here about 3 months and my last coworker got pretty messed up. I liked him pretty well and it is an easy, if not boring job but it can take a toll.” Sam stepped out on the porch shooting a slightly nervous look at the woods before looking back at me. I waved him out, “It is alright, I’m fine, I can take care of myself. I will see you bright and early in the morning.” Sam nodded at me with me with a warm smile and made the short trek back to the dam. Night swiftly fell, and I was clutching my stomach off loading the contents into the porcelain alter for a cruel sadistic god. I hadn’t checked the expiration date too closely before downing a can of beef tounge I had found in the cabinets, which in retrospect was such a fuckingly stupid move on my part. I stepped back into the main living area to see just a swift glint of metal, before listening to the “Crash” as my widow was busted in and a hand swiftly unlocked the door from the inside. “Shit, this is real bad.” My brain thought. As my body tensed for a fight, in walked a figure in a green ranger uniform. The guy was 26-27, 5’11, light brown hair, green eyes, fair skin. He looked absolutely furious but satisfied. “I got you now, you jackass arsonist.” He says, grabbed me by the arms and tossing me on a stuffed chair hard. I feel a flash of pain on my ass as I land. “Damn, I realllly hope that wasn’t a needle.” I think as jump back up. Now, he looked back at me with with sheer bewilderment in his eyes. “OH shit, oh shit, I am gonna die.” I feel dread sneak into me as I scramble looking around. I take up a knife from the counter and plunge it into his hand. He lets out a yelp and given me a kick to my already twisted stomach. ”This is it.” I think as I land on the ground, and take the chance to grab his leg while it is still in the air. I push forward as he stumbles backwards. “Wait, but your not -“ he tries to slide out of the cabin but I pull down his socks and bite like a rabid dog, with all the energy I had. I taste a glint of metal. He starts really letting his lungs work now before coming to his senses again and grabs a fire extinguisher off the porch and hits me squarely with it. My vision swiftly faded to white after that. My next memory has me coming back to consciousness in a hospital room. I am under a blanket with cows on it, and look over to see a shitty thin blue curtain with yellow ducks on it. As I try to piece back my memory, I hear a commotion on the other side of the curtain. One female voice nearly splitting my ears says, “Are you a dumbass? You look like one to me dumbass. You obviously weren’t thinking, dumbass. God, what a dumbass.” Another male voice joins in, ”A girl, you beat a harmless girl senseless. And the poor thing was starting the job at the power plant. If you weren’t in already in the hospital, I’d put here, but to be fair that would make Dr. Sanders work harder, and unlike you I actually like the guy.” An older man wearing a white coat comes in about this time who I presume is the aforementioned individual, gives me the mouth zipping motion, a wink and walks to the other side of the curtain. “Well, she’s dead. You may as well see your handiwork.” The old doctors says. A younger voice pipes up, “B-B-But it was an accident. I didn’t mean-“ The curtain flies open to reveal two police officers, a short and slightly heavy male and a tall African American woman. Both looking ready to kill the park ranger in bed with his hand bandaged up. The young man looks at me absolutely horrified. I can’t help but let out a small snicker at the scene. The white haired doctor cracks up at the look of pure indignation I shoot park ranger. “She’ll be fine.” He says. The two officers looked a bit more at ease. Dr. Sander then goes on to say after sitting down on the edge of my bed, “You spooked us just a bit there, that one over there” he points to the park ranger, “sprayed you down with a fire extinguisher and caused some temporary asphyxiation.” The guy piped up, “I am so so so sorry. My name is Reuben, call me Ben. I’m so sorry, I had you mistaken for someone else. I’ll make this up to you. I really really fucked this up. Please don’t hate me,” he says. He was genuine, I fully believed that. “Glad you said, that Ben, because I’m pretty sure I need a door now. My name is Katie.” I went over and gave him a light smack to the back of the head. Dr. Sanders gave a puzzled look and picked my chart off the bed, “Wait, isn’t your name -,”. I stopped him, “Yep, it is, please for the love of all that is holy, just don’t.” After that, the female officer who’s name I learned was Talia, dropped me back off at the dam the next morning. Sam who had only the vaguest of ideas of what had gone on that night was filled in by Talia of the rest of the details and she quickly leaves afterwards leaving a cloud trail in the gravel. “Well,” Sam says “I guess this means your leaving.” “Are you kidding?” I say, “I only just got here.” Sam cracks a wide smile, “You’re in luck then, I forgot to show you something yesterday.” We go into the dam, down into the basement under the water level under the turbine rooms. I gasp as I look into the room, it was beautiful. There was a massive window looking out underwater. I could swear for the slightest second though that a fish swam by, displaying three eyes, and a sharp row of teeth. I knew in that moment that this river holds terrible and dark secrets and I had not even dipped toe in them. This is Katie, signing off, until next time.

Demographics: Male, half-Chinese half-white, mid public school in New Jersey
Hook: Does being a triplet count?
Intended Major: Chemistry or Materials science
SAT: 1400
GPA: 94% UW/98% W, Top 10% of a class of 300. No class ranks
Course Load:
AP Seminar lol (5), AP Human Geo lol (4)
These are pending but my guesses: AP Chem (5), APUSH (4), AP Physics 1, (4), AP Research (5)
Planning to take AP lit, AP Physics 2, AP Calc BC and auditing orgo course at community college
Awards: Honors wind ensemble saxophonist at local state college and CJMEA and biliteracy seal for Spanish (idk if these count)
ECs:
Drum Major for 2 years of state champion marching band
Jazz Ensemble for 4 years. Received a gold rating after our school not competing for >20 years
Co-leader of school's jazz combo
Marimba player for indoor percussion
Varsity sabre fencing for 2 years
Rubik's Cube competition organizer for two competitions with 400 people (it's pretty big in the cubing community), a New Year's competition in Chicago and 3 Brooklyn competitions
Staff at CubingUSA Nationals and Continental Championship starting 2019
World Cube Association Competitor for 8 years with over 100 competitions competed in
Peer leader at high school (adjust the freshman to the high school environment since the high school is regional but the primary schools aren't)
Character Education committee (Selective school organization to promote school spirit and involvement)
Environmental Club for 4 years
NHS recording secretary
Unorganized ECs
Rock climbing
Essays/LOR:
I think my essays can turn out to be a solid 7-8/10
LORs will probably average out to be a 9/10
ED: UChicago
EA: Georgia Tech, Emory, NYU (legacy), Rutgers, CMU, Purdue, Pitt
Please give me some advice for applying to schools. I literally have no idea of what I'm doing. My college research has consisted of scrolling through top chemistry programs on Niche and seeing if the school is in an urban location or not.
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Everything in my inventory is up for trade. The most valuable items are listed here, the rest you can find in My Inventory

Feel free to Add Me or even better send a Trade Offer. Open for any suggestions: upgrades, downgrades / knives, gloves, skins / stickers, patterns, floats.

All Buyouts are listed in cash value.

KNIVES

★ Butterfly Knife Freehand FN #1, B/O: $2500

★ Butterfly Knife Ultraviolet FT, B/O: $822

★ Butterfly Knife Scorched FT, B/O: $616

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★ Bayonet Tiger Tooth MW #1, B/O: $1300

★ Bayonet Autotronic FN, B/O: $1050

★ Bayonet Tiger Tooth MW, B/O: $629

★ Bayonet Bright Water FT, B/O: $326

★ Bayonet Safari Mesh BS, B/O: $233

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★ Karambit Lore FT, B/O: $1110

★ Karambit Damascus Steel FT, B/O: $840

★ Karambit Freehand MW, B/O: $784

★ Karambit Bright Water MW, B/O: $759

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★ M9 Bayonet Fade FN, B/O: $1801

★ M9 Bayonet Fade FN, B/O: $1801

★ M9 Bayonet Damascus Steel FN, B/O: $751

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★ Nomad Knife Fade FN, B/O: $1156

★ Nomad Knife Slaughter MW, B/O: $544

★ Nomad Knife Blue Steel WW, B/O: $318

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★ Flip Knife Marble Fade FN, B/O: $646

★ Flip Knife Doppler (Phase 4) FN, B/O: $574

★ Flip Knife Gamma Doppler (Phase 1) MW, B/O: $552

★ Flip Knife Case Hardened FT, B/O: $257

★ Flip Knife Freehand FT, B/O: $255

★ StatTrak™ Flip Knife Bright Water FN, B/O: $287

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★ Huntsman Knife Lore FN, B/O: $461

★ Huntsman Knife Gamma Doppler (Phase 4) FN, B/O: $436

★ Huntsman Knife Doppler (Phase 3) FN, B/O: $353

★ Huntsman Knife Autotronic FT, B/O: $212

★ Huntsman Knife Bright Water FT, B/O: $129

★ Huntsman Knife Forest DDPAT MW, B/O: $129

★ Huntsman Knife Forest DDPAT BS, B/O: $123

★ StatTrak™ Huntsman Knife Rust Coat BS, B/O: $127

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★ Bowie Knife Gamma Doppler (Phase 2) FN, B/O: $375

★ Bowie Knife Gamma Doppler (Phase 1) FN, B/O: $363

★ Bowie Knife Tiger Tooth FN, B/O: $269

★ Bowie Knife Crimson Web WW, B/O: $192

★ Bowie Knife Bright Water FN, B/O: $159

★ Bowie Knife Ultraviolet FT, B/O: $126

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★ Stiletto Knife Slaughter FN, B/O: $616

★ Stiletto Knife Crimson Web FT, B/O: $412

★ StatTrak™ Stiletto Knife Night Stripe FT, B/O: $227

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★ Falchion Knife Lore FT, B/O: $214

★ Falchion Knife Autotronic FT, B/O: $192

★ Falchion Knife Scorched WW, B/O: $105

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★ Survival Knife Crimson Web BS, B/O: $216

★ Survival Knife Case Hardened FT, B/O: $198

★ Survival Knife Scorched FT, B/O: $111

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★ Shadow Daggers Fade FN, B/O: $368

★ Shadow Daggers Doppler (Phase 3) FN, B/O: $228

★ Shadow Daggers, B/O: $201

★ Shadow Daggers Damascus Steel FT, B/O: $108

★ Shadow Daggers Ultraviolet FT, B/O: $105

★ Shadow Daggers Black Laminate FT, B/O: $99

★ Shadow Daggers Forest DDPAT FT, B/O: $85

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★ Gut Knife Doppler (Sapphire) MW #1, B/O: $1700

★ Gut Knife Gamma Doppler (Phase 1) FN, B/O: $223

★ Gut Knife Marble Fade FN, B/O: $203

★ Gut Knife Doppler (Phase 2) FN, B/O: $191

★ Gut Knife Case Hardened BS, B/O: $127

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★ Navaja Knife Doppler (Phase 4) FN, B/O: $199

★ Navaja Knife Doppler (Phase 4) FN, B/O: $199

★ Navaja Knife, B/O: $138

★ Navaja Knife Damascus Steel FN, B/O: $111

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★ Classic Knife Urban Masked FT, B/O: $146

★ StatTrak™ Classic Knife Stained BS, B/O: $168

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★ Ursus Knife Doppler (Phase 3) FN, B/O: $476

★ Ursus Knife, B/O: $375

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★ Skeleton Knife, B/O: $1137

★ Talon Knife, B/O: $608

★ Paracord Knife, B/O: $305

★ Survival Knife Forest DDPAT FT, B/O: $97

GLOVES

★ Moto Gloves Transport MW, B/O: $204

★ Moto Gloves Polygon BS, B/O: $142

★ Moto Gloves Blood Pressure BS, B/O: $84

★ Moto Gloves Blood Pressure BS, B/O: $84

★ Moto Gloves 3rd Commando Company BS, B/O: $63

★ Moto Gloves 3rd Commando Company BS, B/O: $63

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★ Specialist Gloves Crimson Kimono WW, B/O: $1215

★ Specialist Gloves Tiger Strike FT, B/O: $672

★ Specialist Gloves Lt. Commander FT, B/O: $305

★ Specialist Gloves Lt. Commander BS, B/O: $140

★ Specialist Gloves Crimson Web BS, B/O: $137

★ Specialist Gloves Buckshot FT, B/O: $75

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★ Driver Gloves Crimson Weave FT, B/O: $359

★ Driver Gloves Imperial Plaid BS, B/O: $229

★ Driver Gloves Overtake BS, B/O: $77

★ Driver Gloves Racing Green FT, B/O: $48

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★ Sport Gloves Omega FT, B/O: $739

★ Sport Gloves Amphibious BS #2, B/O: $733

★ Sport Gloves Arid BS, B/O: $292

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★ Hand Wraps Giraffe MW, B/O: $212

★ Hand Wraps Leather FT, B/O: $160

★ Hand Wraps Desert Shamagh MW, B/O: $101

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★ Broken Fang Gloves Yellow-banded MW, B/O: $185

★ Broken Fang Gloves Needle Point FT, B/O: $67

★ Broken Fang Gloves Needle Point WW, B/O: $59

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★ Hydra Gloves Case Hardened BS, B/O: $65

★ Hydra Gloves Emerald FT, B/O: $65

★ Hydra Gloves Emerald BS, B/O: $62

WEAPONS

AK-47 Case Hardened BS, B/O: $130

AK-47 Bloodsport MW, B/O: $79

AK-47 Fuel Injector BS, B/O: $76

AK-47 Fuel Injector BS, B/O: $76

AK-47 Bloodsport FT, B/O: $70

AK-47 Neon Rider MW, B/O: $60

StatTrak™ AK-47 Aquamarine Revenge FT, B/O: $72

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AWP Fade FN, B/O: $1039

AWP Asiimov FT, B/O: $139

AWP Asiimov FT, B/O: $139

AWP Wildfire MW, B/O: $95

AWP BOOM MW, B/O: $93

AWP BOOM MW, B/O: $93

AWP Duality FN, B/O: $81

AWP Asiimov BS, B/O: $79

AWP Asiimov BS, B/O: $79

AWP Chromatic Aberration FN, B/O: $60

StatTrak™ AWP Hyper Beast FT, B/O: $68

StatTrak™ AWP Hyper Beast FT, B/O: $68

StatTrak™ AWP Electric Hive FT, B/O: $55

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Desert Eagle Blaze FN, B/O: $623

Desert Eagle Emerald Jörmungandr FN, B/O: $241

Desert Eagle Cobalt Disruption FN, B/O: $81

Desert Eagle Cobalt Disruption FN, B/O: $81

Desert Eagle Cobalt Disruption FN, B/O: $81

Desert Eagle Printstream FT, B/O: $54

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M4A1-S Blue Phosphor FN, B/O: $434

StatTrak™ M4A1-S Bright Water MW, B/O: $55

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M4A4 Poseidon FN, B/O: $1465

M4A4 Asiimov BS, B/O: $55

M4A4 Hellfire MW, B/O: $50

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USP-S Kill Confirmed MW, B/O: $72

USP-S Printstream FT, B/O: $69

StatTrak™ USP-S Kill Confirmed FT, B/O: $139

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AUG Flame Jörmungandr FN, B/O: $234

P90 Run and Hide FT, B/O: $147

Five-SeveN Candy Apple FN, B/O: $61

Trade Offer Link - Steam Profile Link - My Inventory

Knives - Bowie Knife, Butterfly Knife, Falchion Knife, Flip Knife, Gut Knife, Huntsman Knife, M9 Bayonet, Bayonet, Karambit, Shadow Daggers, Stiletto Knife, Ursus Knife, Navaja Knife, Talon Knife, Classic Knife, Paracord Knife, Survival Knife, Nomad Knife, Skeleton Knife, Patterns - Gamma Doppler, Doppler (Phase 1, Phase 2, Phase 3, Phase 4, Black Pearl, Sapphire, Ruby, Emerald), Crimson Web, Lore, Fade, Ultraviolet, Night, Marble Fade (Fire & Ice, Fake FI), Case Hardened (Blue Gem), Autotronic, Slaughter, Black Laminate, Tiger Tooth, Boreal Forest, Scorched, Blue Steel, Vanilla, Damascus Steel, Forest DDPAT, Urban Masked, Freehand, Stained, Bright Water, Safari Mesh, Rust Coat, Gloves - Bloodhound Gloves (Charred, Snakebite, Guerrilla, Bronzed), Driver Gloves (Snow Leopard, King Snake, Crimson Weave, Imperial Plaid, Black Tie, Lunar Weave, Diamondback, Rezan the Red, Overtake, Queen Jaguar, Convoy, Racing Green), Hand Wraps (Cobalt Skulls, CAUTION!, Overprint, Slaughter, Leather, Giraffe, Badlands, Spruce DDPAT, Arboreal, Constrictor, Desert Shamagh, Duct Tape), Moto Gloves (Spearmint, POW!, Cool Mint, Smoke Out, Finish Line, Polygon, Blood Pressure, Turtle, Boom!, Eclipse, 3rd Commando Company, Transport), Specialist Gloves (Crimson Kimono, Tiger Strike, Emerald Web, Field Agent, Marble Fade, Fade, Foundation, Lt. Commander, Crimson Web, Mogul, Forest DDPAT, Buckshot), Sport Gloves (Pandora's Box, Superconductor, Hedge Maze, Vice, Amphibious, Slingshot, Omega, Arid, Big Game, Nocts, Scarlet Shamagh, Bronze Morph), Hydra Gloves (Case Hardened, Emerald, Rattler, Mangrove), Broken Fang Gloves (Jade, Yellow-banded, Unhinged, Needle Point), Pistols - P2000 (Wicked Sick, Ocean Foam, Fire Element, Amber Fade, Corticera, Chainmail, Imperial Dragon, Obsidian, Scorpion, Handgun, Acid Etched), USP-S (Printstream, Kill Confirmed, Whiteout, Road Rash, Owergrowth, The Traitor, Neo-Noir, Dark Water, Orion, Blueprint, Stainless, Caiman, Serum, Monster Mashup, Royal Blue, Ancient Visions, Cortex, Orange Anolis, Ticket To Hell, Black Lotus, Cyrex, Check Engine, Guardian, Purple DDPAT, Torque, Blood Tiger, Flashback, Business Class, Pathfinder, Para Green), Lead Conduit, Glock-18 (Umbral Rabbit, Fade, Candy Apple, Bullet Queen, Synth Leaf, Neo-Noir, Nuclear Garden, Dragon Tatto, Reactor, Pink DDPAT, Twilight Galaxy, Sand Dune, Groundwater, Blue Fissure, Snack Attack, Water Elemental, Brass, Wasteland Rebel, Vogue, Franklin, Royal Legion, Gamma Doppler, Weasel, Steel Disruption, Ironwork, Grinder, High Beam, Moonrise, Oxide Blaze, Bunsen Burner, Clear Polymer, Bunsen Burner, Night), P250 (Re.built, Nuclear Threat, Modern Hunter, Splash, Whiteout, Vino Primo, Mehndi, Asiimov, Visions, Undertow, Cartel, See Ya Later, Gunsmoke, Splash, Digital Architect, Muertos, Red Rock, Bengal Tiger, Crimson Kimono, Wingshot, Metallic DDPAT, Hive, Dark Filigree, Mint Kimono), Five-Seven (Neon Kimono, Berries And Cherries, Fall Hazard, Crimson Blossom, Hyper Beast, Nitro, Fairy Tale, Case Hardened, Copper Galaxy, Angry Mob, Monkey Business, Fowl Play, Anodized Gunmetal, Hot Shot, Retrobution, Boost Protocol), CZ75-Auto (Chalice, Crimson Web, Emerald Quartz, The Fuschia is Now, Nitro, Xiangliu, Yellow Jacket, Victoria, Poison Dart, Syndicate, Eco, Hexane, Pole, Tigris), Tec-9 (Rebel, Terrace, Nuclear Threat, Hades, Rust Leaf, Decimator, Blast From, Orange Murano, Toxic, Fuel Injector, Remote Control, Bamboo Forest, Isaac, Avalanche, Brother, Re-Entry, Blue Titanium, Bamboozle), R8 Revolver (Banana Cannon, Fade, Blaze, Crimson Web, Liama Cannon, Crazy 8, Reboot, Canal Spray, Night, Amber Fade), Desert Eagle (Blaze, Hand Cannon, Fennec Fox, Sunset Storm, Emerald Jörmungandr, Pilot, Hypnotic, Golden Koi, Printstream, Cobalt Disruption, Code Red, Ocean Drive, Midnight Storm, Kumicho Dragon, Crimson Web, Heirloom, Night Heist, Mecha Industries, Night, Conspiracy, Trigger Discipline, Naga, Directive, Light Rail), Dual Berettas (Flora Carnivora, Duelist, Cobra Strike, Black Limba, Emerald, Hemoglobin, Twin Turbo, Marina, Melondrama, Pyre, Retribution, Briar, Dezastre, Royal Consorts, Urban Shock, Dualing Dragons, Panther, Balance), Rifles - Galil (Aqua Terrace, Winter Forest, Chatterbox, Sugar Rush, Pheonix Blacklight, CAUTION!, Orange DDPAT, Cerberus, Dusk Ruins, Eco, Chromatic Aberration, Stone Cold, Tuxedo, Sandstorm, Shattered, Urban Rubble, Rocket Pop, Kami, Crimson Tsunami, Connexion), SCAR-20 (Fragments, Brass, Cyrex, Palm, Splash Jam, Cardiac, Emerald, Crimson Web, Magna Carta, Stone Mosaico, Bloodsport, Enforcer), AWP (Duality, Gungnir, Dragon Lore, Prince, Medusa, Desert Hydra, Fade, Lightning Strike, Oni Taiji, Silk Tiger, Graphite, Chromatic Aberration, Asiimov, Snake Camo, Boom, Containment Breach, Wildfire, Redline, Electric Hive, Hyper Beast, Neo-Noir, Man-o'-war, Pink DDPAT, Corticera, Sun in Leo, Elite Build, Fever Dream, Atheris, Mortis, PAW, Exoskeleton, Worm God, POP AWP, Phobos, Acheron, Pit Viper, Capillary, Safari Mesh), AK-47 (Head Shot, Wild Lotus, Gold Arabesque, X-Ray, Fire Serpent, Hydroponic, Panthera Onca, Case Hardened, Vulcan, Jet Set, Fuel Injector, Bloodsport, Nightwish, First Class, Neon Rider, Asiimov, Red Laminate, Aquamarine Revenge, The Empress, Wasteland Rebel, Jaguar, Black Laminate, Leet Museo, Neon Revolution, Redline, Frontside Misty, Predator, Legion of Anubis, Point Disarray, Orbit Mk01, Blue Laminate, Green Laminate, Emerald Pinstripe, Cartel, Phantom Disruptor, Jungle Spray, Safety Net, Rat Rod, Baroque Purple, Slate, Elite Build, Uncharted, Safari Mesh), FAMAS (Sundown, Prime Conspiracy, Afterimage, Commemoration, Dark Water, Spitfire, Pulse, Eye of Athena, Meltdown, Rapid Eye Move, Roll Cage, Styx, Mecha Industrie, Djinn, ZX Spectron, Valence, Neural Net, Night Borre, Hexne), M4A4 (Temukau, Howl, Poseidon, Asiimov, Daybreak, Hellfire, Zirka, Red DDPAT, Radiation Hazard, Modern Hunter, The Emperor, The Coalition, Bullet Rain, Cyber Security, X-Ray, Dark Blossom, Buzz Kill, In Living Color, Neo-Noir, Desolate Space, 龍王 (Dragon King), Royal Paladin, The Battlestar, Global Offensive, Tooth Fairy, Desert-Strike, Griffin, Evil Daimyo, Spider Lily, Converter), M4A1-S (Emphorosaur-S, Welcome to the Jungle, Imminent Danger, Knight, Hot Rod, Icarus Fell, Blue Phosphor, Printstream, Master Piece, Dark Water, Golden Coil, Bright Water, Player Two, Atomic Alloy, Guardian, Chantico's Fire, Hyper Beast, Mecha Industries, Cyrex, Control Panel, Moss Quartz, Nightmare, Decimator, Leaded Glass, Basilisk, Blood Tiger, Briefing, Night Terror, Nitro, VariCamo, Flashback), SG 553 (Cyberforce, Hazard Pay, Bulldozer, Integrale, Dragon Tech, Ultraviolet, Colony IV, Hypnotic, Cyrex, Candy Apple, Barricade, Pulse), SSG 08 (Death Strike, Sea Calico, Blood in the Water, Orange Filigree, Dragonfire, Big Iron, Bloodshot, Detour, Turbo Peek, Red Stone), AUG (Akihabara Accept, Flame Jörmungandr, Hot Rod, Midnight Lily, Sand Storm, Carved Jade, Wings, Anodized Navy, Death by Puppy, Torque, Bengal Tiger, Chameleon, Fleet Flock, Random Access, Momentum, Syd Mead, Stymphalian, Arctic Wolf, Aristocrat, Navy Murano), G3SG1 (Chronos, Violet Murano, Flux, Demeter, Orange Kimono, The Executioner, Green Apple, Arctic Polar Camo, Contractor), SMGs - P90 (Neoqueen, Astral Jörmungandr, Run and Hide, Emerald Dragon, Cold Blooded, Death by Kitty, Baroque Red, Vent Rush, Blind Spot, Asiimov, Trigon, Sunset Lily, Death Grip, Leather, Nostalgia, Fallout Warning, Tiger Pit, Schermatic, Virus, Shapewood, Glacier Mesh, Shallow Grave, Chopper, Desert Warfare), MAC-10 (Sakkaku, Hot Snakes, Copper Borre, Red Filigree, Gold Brick, Graven, Case Hardened, Stalker, Amber Fade, Neon Rider, Tatter, Curse, Propaganda, Nuclear Garden, Disco Tech, Toybox, Heat, Indigo), UMP-45 (Wild Child, Fade, Blaze, Day Lily, Minotaur's Labyrinth, Crime Scene, Caramel, Bone Pile, Momentum, Primal Saber), MP7 (Teal Blossom, Fade, Nemesis, Whiteout, Asterion, Bloosport, Abyssal Apparition, Full Stop, Special Delivery, Neon Ply, Asterion, Ocean Foam, Powercore, Scorched, Impire), PP-Bizon (Modern Hunter, Rust Coat, Forest Leaves, Antique, High Roller, Blue Streak, Seabird, Judgement of Anubis, Bamboo Print, Embargo, Chemical Green, Coblat Halftone, Fuel Rod, Photic Zone, Irradiated Alert, Carbon Fiber), MP9 (Featherweight, Wild Lily, Pandora's Box, Stained Glass, Bulldozer, Dark Age, Hot Rod, Hypnotic, Hydra, Rose Iron, Music Box, Setting Sun, Food Chain, Airlock, Mount Fuji, Starlight Protector, Ruby Poison Dart, Deadly Poison), MP5-SD (Liquidation, Oxide Oasis, Phosphor, Nitro, Agent, Autumn Twilly), Shotguns, Machineguns - Sawed-Off (Kiss♥Love, First Class, Orange DDPAT, Rust Coat, The Kraken, Devourer, Mosaico, Wasteland Princess, Bamboo Shadow, Copper, Serenity, Limelight, Apocalypto), XM1014 (Frost Borre, Ancient Lore, Red Leather, Elegant Vines, Banana Leaf, Jungle, Urban Perforated, Grassland, Blaze Orange, Heaven Guard, VariCamo Blue, Entombed, XOXO, Seasons, Tranquility, Bone Machine, Incinegator, Teclu Burner, Black Tie, Zombie Offensive, Watchdog), Nova (Baroque Orange, Hyper Beast, Green Apple, Antique, Modern Hunter, Walnut, Forest Leaves, Graphite, Blaze Orange, Rising Skull, Tempest, Bloomstick, Interlock, Quick Sand, Moon in Libra, Clean Polymer, Red Quartz, Toy Soldier), MAG-7 (Insomnia, Cinqueda, Counter Terrace, Prism Terrace, Memento, Chainmail, Hazard, Justice, Bulldozer, Silver, Core Breach, Firestarter, Praetorian, Heat, Hard Water, Monster Call, BI83 Spectrum, SWAG-7), M249 (Humidor, Shipping Forecast, Blizzard Marbleized, Downtown, Jungle DDPAT, Nebula Crusader, Impact Drill, Emerald Poison Dart), Negev (Mjölnir, Anodized Navy, Palm, Power Loader, Bratatat, CaliCamo, Phoenix Stencil, Infrastructure, Boroque Sand), Wear - 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I’m 35f. I was born with pretty severe in-toeing and my right foot never straightened out completely. I’ve had pain in my right knee as long as I can remember but my biggest issue has always been instability and feeling like it pops out of place. I’ve had many times throughout the last 10 years where I could barely walk on it months at a time. I haven’t always had access to medical care but when I did my insurance denied imaging and sent me to PT, over and over again until I gave up basically. I learned to maneuver myself to avoid pain or instability. But then I fell directly on it in April.
So, I’ve got better insurance now. And (I’m hoping) a orthopedic surgeon & PA who seem to care enough to take a look. And below are the results. My doctors office called me the day after my MRI to book a follow up asap, but asap means July, the day my doctor comes back from vacation.
I’m over here googling every other word and I would really appreciate having a basic understanding of these results. I still plan on seeing my doctor asap! But July feels like forever and a lot of googling I probably shouldn’t do.
Copy/pate, but I deleted the parts that said “grossly intact”
TECHNIQUE: Right knee MRI with 3 imaging planes and 5 imaging sequences on a 3 Tesla MRI scanner. No IV or intra-articular contrast.
FINDINGS: RIGHT KNEE BONES AND CARTILAGES: Moderate to severe tricompartmental osteoarthrosis, severe at lateral compartment with high-grade chondromalacia/near bone-on-bone and probable mild lateral tibial plateau degenerative osseous attrition.
RIGHT KNEE FLUID AND EDEMA: Mild to moderate joint effusion with synovitis. A few tiny subcentimeter loose bodies or foci of nodular synovial thickening at posterior recess of the knee joint. Medium sized complex leaking Baker's cyst.
RIGHT KNEE LIGAMENTS AND TENDONS: Anterior cruciate ligament: Gross intact with periligamentous synovitis Lateral collateral ligamentous complex: Chronic grade 2 sprain and scarring of proximal fibular collateral ligament at lateral femoral condylar attachment and at distal biceps femoris tendon at fibular head insertion. Grossly intact appearing iliotibial band. Medial patellofemoral ligament T medial
RIGHT KNEE MENISCI: Lateral meniscus: Extensive degenerative meniscal tears. Meniscal maceration of anterior horn. Posterior horn meniscal tear near free edge. Peripheral extrusion of macerated anterior meniscal body.
IMPRESSION: 1. Right knee extensive degenerative lateral meniscal tears. 2. Chronic proximal and distal lateral collateral ligamentous sprain and scarring as detailed above. 3. Mild to moderate joint effusion with synovitis and a few tiny subcentimeter loose bodies or foci of nodular synovial thickening. 3. Complex leaking Baker's cyst. 4. Tricompartmental degenerative osteoarthrosis, severe at lateral compartment.
Thank you for your help!

Hello everyone,
I've always been plagued with loose ankle joints/ligaments. Flopping my ankles over as a kid quite often. I am taking a wild guess that this hasn't really helped my ankle ligaments and tendons in the long run.
Over the last 3-4 years I have both completely and partially torn the ligaments on a multitude of times both on my left and my right ankle. The first time was during the last football match of the year. The second, third and fourth on very unfortunate events during a cross-country run through the forest, after which I had to drag my ass out of the woods for a good 4-5 kilometers, after which I had to drive home with an ankle that didn't want to do anything. Once a dog came flying out of the bushes, forcing me to adjust my step which landed right on a tree root. One was me not paying attention. And another was landing in a slightly deeper ditch than I thought because it was obscured by leaves. The fourth time was after picking up training again. Arguably the most horrible one I've had so far. Futsal with some friends. I'm up in the air for a header, and I just land slightly too far on the outside of my right foot. My entire bodyweight collapses on it. The amount of swelling, both on the inside and outside, and sight of colors was SO rapid, that it even shocked my best friend who has been a doctor for 6 years. He never saw anything like it.
The real problems now are the mental ones. Given, there are some physical problems. My right ankle probably still has an issue right now. I can't set my foot down 100% 'straight' anymore whilst walking. Forcing it 'straight' causes a pulling pain on the inside of my right knee. Obviously a problem. Can there be too much scar tissue on the inside after having wrecked that ankle on 3 separate occasions in my life? I have no clue how it works really. The mental problems are that I really don't want to do any form of jumping anymore. There's a mental blockade. Same goes for any form of running. That throws out a big part of my cardio. I'm not a big biking guy, and running always freed my mind up. I manage to get into 'the zone' quite fast.
Currently I'm at 92kg, 187cm. I still train the rest of my body on a regular basis. I would like to get back to my 85kg area, but I really need cardio and preferrably running for that. It's just what I've always been 'good' at. It's my comfort cardio.
What can I do? I've been working with a psychosomatic physiotherapist for other problems that plagued me my entire life, but this isn't something they have a direct answer for.

I've read a number of posts about the gold standard, but I have a bunch of questions. Any answers are greatly appreciated!
1.) How precisely does inflation work in a gold standard?
As I understand, long term, economy wide inflation cannot happen in a perfect GS. Your money supply cannot grow without more gold, so no inflation (if the economy stays the same as well). However, inflation on certain items can and does happen, i.e., if half of all cows die, milk is more expensive.
As I also understand, this short term inflation/deflation of prices of goods is quite erratic, as the economy essentially has to let the shockwaves of any change makes its way all around until things balance out again (because no one can theoretically interfere), like ripples in a pond. Is this correct?
2.) Did the world get really, really lucky during the gold standard's heyday?
In the international classical gold standard from 1873–1914, everything seemed to be working very nicely. I also know the GS has a lot of problems with it. Did we basically just get supremely lucky that the population, economic growth, amount of gold dug up, and the economies of all participating countries happened to line up to let the system work really well for fortyish years?
3.) How often did countries screw with their own gold standard? Can you even call it a GS in some cases?
From what I've read, it seems like countries frequently messed with their own gold standard all the time for their own advantage, in ways I don't really understand. Was this common, or did countries actually stick to their declared economic systems pretty well?
It also brings to mind a proportionate GS. Isn't that basically a fiat currency? If the system doesn't actually back all money with gold and only works if people believe it works, how is that not a fiat currency?
4.) Were we on the gold standard under FDR? What about the Bretton Woods system?
FDR made private gold illegal, then instantly devalued gold to cause instant inflation to get the economy moving out of the Great Depression. Was that a one time shot to the economy, and FDR stuck to the 'new' GS after that (i.e., the government only had as much money in circulation that gold could back) or was it pretty much ignored? What was the system in place if we weren't on the gold standard?
And did the US actually properly adhere to the Bretton Woods system, or did they just basically say "Sure, we're totally sticking to it" while they printed off more money that wasn't actually covered by gold?
5.) Supporters of a GS often like to say a dollar should always be constant, like a kilogram. Is this correct?
Or, "a foot is always a foot, and a dollar should always be a dollar, and it shouldn't change". I can't help but feel there's something flawed about this argument, but can't articulate what. I'm also confused--a dollar is a dollar; it's the price of goods that changes in amount, and that isn't set solely by the purchasing power of the dollar alone (see the cow example above). What exactly are they trying to argue?
6.) What's the deal with deflation?
I've seen a LOT of back and forth arguments over deflation in different threads: Deflation is actually good and fixes the economy if let alone--no, it's an endless downward spiral--no, we've never seen that happen historically--no, we actually have.
You get the picture. I'm not educated enough in economics, so to someone who is, what is the general consensus about deflation? And how supported is that general consensus?
For example, the 'theory' that a big asteroid was a major factor in the extinction of the dinosaurs is pretty much solid and accepted by everyone. It would be nothing less than a miracle for it to be disproven at this point. However, other theories like dark matter and energy-while fairly well accepted-are far less certain, and it wouldn't be a shock to find out that they were wrong.
How does the strength of evidence for deflation (good or bad) compare?

Preface: My time in the Army National Guard was, for the most part, overwhelmingly a positive experience. I made some of the best friends of my life and experienced things most never will. Through the duration of my time in, I was extremely highly motivated, dedicated to my MOS (68W), very physically fit, and was well-regarded and respected by my peers and leadership. Explicitly, my senior rater described me as "the best medic in the battalion", on my last E-4 eval. I was an Honor Graduate in BCT. I conducted classes and took initiative every drill. In 9 years of service, I never missed or was late to a drill, never missed an AT until my last year (continue reading), and extended my initial contract by two years so that I could deploy overseas with my unit.
Shortly after coming home from the aforementioned deployment, my girlfriend of 5 years and I adopted a puppy. He is a fantastic boy and we love him very much. It's just the three of us, and we live together in a state that neighbors the state where my unit was located. Either our first or second drill weekend back after post-deployment dwell time, my girlfriend calls me in the middle of the day, sobbing and frantic, and explains to me that she thinks something is wrong with the puppy. No problem, or so I thought, we'll be able to address this. I approach my PSG and explain the situation and request to be excused to go home, check in, and hopefully report back tomorrow morning. He brings me to the 1SG to explain further. The entire time I'm talking, 1SG is rolling his eyes, giving side-eyes to my PSG and the CO, and being blatantly disrespectful. After I finish speaking, he looks me at me and says "You know what? Fuck your girlfriend's dog. You have a phone, you can support her from here."
And so I stayed at drill and talked my girlfriend through how to bring him to the emergency vet and get him taken care of. Thankfully, the puppy was fine and is living his best life to this day. That moment, however, broke me as a dedicated soldier and ruined my faith in my leadership. That year, for the first time ever, I sought and found an excusal for AT. I also ETS'd, which was a decision I'd been on the fence about for a while, considering I'd been nearing the halfway point to the 20 year retirement.
It took me a while to figure out what to do with this story. I know that having a girlfriend freak out about a non-issue with a puppy is not, by any means, a big deal. However, I think it served as an important reminder for me that while you are in the military, you are not in control of your life the way that you would be if you were a civilian, and that not all leadership cares about their soldiers the way that they should. Sometimes, no matter how hard you work, if you are below a certain position on the totem pole, your life is at the whim of others, who might just be enormous dickheads.
Also, 1SG, if you read this, your book sucks.

It could be in terms of personality, design, writing etc. For me it’s Emporio, a 4 1/2 foot tall little boy in a baseball uniform who lived in a prison his entire life, lives in a “non-existent” music room complete with a piano that he uses as a bed, gets his food by sneaking around the prison while always somehow managing to never get caught, his favorite food is an intangible chocolate bar, he never went to school yet he can use a computer to research things like a pro and even figure out Sky High’s ability. And literally saved the entire universe (and possibly even made it better than the original) all at the age of 11 years old. Pretty bizarre in my book.
(I just started part 7, so blacking out spoilers will be appreciated)

Timestamp: https://imgur.com/a/rD1XMY8
Ultradyne Apollo 5.56 muzzle brake like new low salt- $50 sold
Howard Leight Impact Sport ear pro some salt bought for my wife that never really used they sat In range bag. Includes aftermarket gel pads, batteries and OG- $40sold
Brownells Nitride 6.5 grendel 2 Bcg brand new -$55 sold
Arisaka offset picatinny scout mount new -$35 Sold
Zbolt 18650 scout light body (made in usa) new never mounted - $45 sold
Orbtronic closed cell protected 3400mah rechargeable battery brand new never used-$20
Buck bantam 284+ low salt razor sharp and light weight made in usa ! -$20
Larue xmas edition Dillo new-$15 sold
Weaver Tactical 6 bolt 30mm high rings with picatinny top rail for piggy back rds rattle canned but these are awesome and solid as it comes -$30
Utg 20 moa picatinny riser new -$10sold
Utg 34mm 1.54” cantilever mount new - $25
UTG 45 degree rds mount new docter, vortex, foot print - $20
Strike industries FDE aluminum ultimate Dust cover salt- $15
Larue FDE index clips box of 72- $10
kac 11 rib panel black $12 sold Taupe salty $10sold
Milspec h1 buffer new $18
Magpul quad covers $5
Ergo pic covers 4 total for $10
Trijicon Rmr sealing plate $10
S&W 4.5” folder salty $5
30mm piggy back mounts $8 each x2
Can bundle the 18650 body, battery and Arisaka mount for $85