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Sex Negative Feminism

A community for those who consider themselves as sex negative or sex critical, which is anyone who believes that "sexual acts are ranked hierarchically, with procreative marital heterosexuality at the top of the hierarchy and masturbation, homosexuality and other sexualities that deviate from societal norms closer to the bottom".
[link]

Lee Elbaz Has So Many Binary Options Fraud Victims That the US Government Needs to Notify Them En Masse

While following our updates, you have probably read up on the case against Lee Elbaz, a binary options fraudster from Israel. Elbaz ran a company called Yukom Communications, and scammed investors through the BigOption and BinaryBook websites.
While there are a number of binary options cases which are ongoing right now, this is one of the biggest. In fact, it is so big that the United States government asked the Court on October 15 if it could notify Elbaz’s victims publicly instead of privately.
Normally, victims in cases like these are contacted one by one, but as there are thousands of people who may have been scammed, this would not be a practical way to handle the notifications. If the motion to notify the victims publicly en masse is passed, the Department of Justice will do so at the URL: https://www.justice.gov/criminal-vns/case/lee-elbaz.
In the meantime, be sure to keep up with developments in USA v. Elbaz.
submitted by enivid to binaryoptions [link] [comments]

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submitted by binaryswapcom to BinaryOptions_2016 [link] [comments]

What's new in macOS 11, Big Sur!

It's that time of year again, and we've got a new version of macOS on our hands! This year we've finally jumped off the 10.xx naming scheme and now going to 11! And with that, a lot has changed under the hood in macOS.
As with previous years, we'll be going over what's changed in macOS and what you should be aware of as a macOS and Hackintosh enthusiast.

Has Nvidia Support finally arrived?

Sadly every year I have to answer the obligatory question, no there is no new Nvidia support. Currently Nvidia's Kepler line is the only natively supported gen.
However macOS 11 makes some interesting changes to the boot process, specifically moving GPU drivers into stage 2 of booting. Why this is relevant is due to Apple's initial reason for killing off Web Drivers: Secure boot. What I mean is that secure boot cannot work with Nvidia's Web Drivers due to how early Nvidia's drivers have to initialize at, and thus Apple refused to sign the binaries. With Big Sur, there could be 3rd party GPUs however the chances are still super slim but slightly higher than with 10.14 and 10.15.

What has changed on the surface

A whole new iOS-like UI

Love it or hate it, we've got a new UI more reminiscent of iOS 14 with hints of skeuomorphism(A somewhat subtle call back to previous mac UIs which have neat details in the icons)
You can check out Apple's site to get a better idea:

macOS Snapshotting

A feature initially baked into APFS back in 2017 with the release of macOS 10.13, High Sierra, now macOS's main System volume has become both read-only and snapshotted. What this means is:
However there are a few things to note with this new enforcement of snapshotting:

What has changed under the hood

Quite a few things actually! Both in good and bad ways unfortunately.

New Kernel Cache system: KernelCollections!

So for the past 15 years, macOS has been using the Prelinked Kernel as a form of Kernel and Kext caching. And with macOS Big Sur's new Read-only, snapshot based system volume, a new version of caching has be developed: KernelCollections!
How this differs to previous OSes:

Secure Boot Changes

With regards to Secure Boot, now all officially supported Macs will also now support some form of Secure Boot even if there's no T2 present. This is now done in 2 stages:
While technically these security features are optional and can be disabled after installation, many features including OS updates will no longer work reliably once disabled. This is due to the heavy reliance of snapshots for OS updates, as mentioned above and so we highly encourage all users to ensure at minimum SecureBootModel is set to Default or higher.

No more symbols required

This point is the most important part, as this is what we use for kext injection in OpenCore. Currently Apple has left symbols in place seemingly for debugging purposes however this is a bit worrying as Apple could outright remove symbols in later versions of macOS. But for Big Sur's cycle, we'll be good on that end however we'll be keeping an eye on future releases of macOS.

New Kernel Requirements

With this update, the AvoidRuntimeDefrag Booter quirk in OpenCore broke. Because of this, the macOS kernel will fall flat when trying to boot. Reason for this is due to cpu_count_enabled_logical_processors requiring the MADT (APIC) table, and so OpenCore will now ensure this table is made accessible to the kernel. Users will however need a build of OpenCore 0.6.0 with commit bb12f5f or newer to resolve this issue.
Additionally, both Kernel Allocation requirements and Secure Boot have also broken with Big Sur due to the new caching system discussed above. Thankfully these have also been resolved in OpenCore 0.6.3.
To check your OpenCore version, run the following in terminal:
nvram 4D1FDA02-38C7-4A6A-9CC6-4BCCA8B30102:opencore-version
If you're not up-to-date and running OpenCore 0.6.3+, see here on how to upgrade OpenCore: Updating OpenCore, Kexts and macOS

Broken Kexts in Big Sur

Unfortunately with the aforementioned KernelCollections, some kexts have unfortunately broken or have been hindered in some way. The main kexts that currently have issues are anything relying on Lilu's userspace patching functionality:
Thankfully most important kexts rely on kernelspace patcher which is now in fact working again.

MSI Navi installer Bug Resolved

For those receiving boot failures in the installer due to having an MSI Navi GPU installed, macOS Big Sur has finally resolved this issue!

New AMD OS X Kernel Patches

For those running on AMD-Based CPUs, you'll want to also update your kernel patches as well since patches have been rewritten for macOS Big Sur support:

Other notable Hackintosh issues

Several SMBIOS have been dropped

Big Sur dropped a few Ivy Bridge and Haswell based SMBIOS from macOS, so see below that yours wasn't dropped:
If your SMBIOS was supported in Catalina and isn't included above, you're good to go! We also have a more in-depth page here: Choosing the right SMBIOS
For those wanting a simple translation for their Ivy and Haswell Machines:

Dropped hardware

Currently only certain hardware has been officially dropped:

Extra long install process

Due to the new snapshot-based OS, installation now takes some extra time with sealing. If you get stuck at Forcing CS_RUNTIME for entitlement, do not shutdown. This will corrupt your install and break the sealing process, so please be patient.

X79 and X99 Boot issues

With Big Sur, IOPCIFamily went through a decent rewriting causing many X79 and X99 boards to fail to boot as well as panic on IOPCIFamily. To resolve this issue, you'll need to disable the unused uncore bridge:
You can also find prebuilts here for those who do not wish to compile the file themselves:

New RTC requirements

With macOS Big Sur, AppleRTC has become much more picky on making sure your OEM correctly mapped the RTC regions in your ACPI tables. This is mainly relevant on Intel's HEDT series boards, I documented how to patch said RTC regions in OpenCorePkg:
For those having boot issues on X99 and X299, this section is super important; you'll likely get stuck at PCI Configuration Begin. You can also find prebuilts here for those who do not wish to compile the file themselves:

SATA Issues

For some reason, Apple removed the AppleIntelPchSeriesAHCI class from AppleAHCIPort.kext. Due to the outright removal of the class, trying to spoof to another ID (generally done by SATA-unsupported.kext) can fail for many and create instability for others. * A partial fix is to block Big Sur's AppleAHCIPort.kext and inject Catalina's version with any conflicting symbols being patched. You can find a sample kext here: Catalina's patched AppleAHCIPort.kext * This will work in both Catalina and Big Sur so you can remove SATA-unsupported if you want. However we recommend setting the MinKernel value to 20.0.0 to avoid any potential issues.

Legacy GPU Patches currently unavailable

Due to major changes in many frameworks around GPUs, those using ASentientBot's legacy GPU patches are currently out of luck. We either recommend users with these older GPUs stay on Catalina until further developments arise or buy an officially supported GPU

What’s new in the Hackintosh scene?

Dortania: a new organization has appeared

As many of you have probably noticed, a new organization focusing on documenting the hackintoshing process has appeared. Originally under my alias, Khronokernel, I started to transition my guides over to this new family as a way to concentrate the vast amount of information around Hackintoshes to both ease users and give a single trusted source for information.
We work quite closely with the community and developers to ensure information's correct, up-to-date and of the best standards. While not perfect in every way, we hope to be the go-to resource for reliable Hackintosh information.
And for the times our information is either outdated, missing context or generally needs improving, we have our bug tracker to allow the community to more easily bring attention to issues and speak directly with the authors:

Dortania's Build Repo

For those who either want to run the lastest builds of a kext or need an easy way to test old builds of something, Dortania's Build Repo is for you!
Kexts here are built right after commit, and currently supports most of Acidanthera's kexts and some 3rd party devs as well. If you'd like to add support for more kexts, feel free to PR: Build Repo source

True legacy macOS Support!

As of OpenCore's latest versioning, 0.6.2, you can now boot every version of x86-based builds of OS X/macOS! A huge achievement on @Goldfish64's part, we now support every major version of kernel cache both 32 and 64-bit wise. This means machines like Yonah and newer should work great with OpenCore and you can even relive the old days of OS X like OS X 10.4!
And Dortania guides have been updated accordingly to accommodate for builds of those eras, we hope you get as much enjoyment going back as we did working on this project!

Intel Wireless: More native than ever!

Another amazing step forward in the Hackintosh community, near-native Intel Wifi support! Thanks to the endless work on many contributors of the OpenIntelWireless project, we can now use Apple's built-in IO80211 framework to have near identical support to those of Broadcom wireless cards including features like network access in recovery and control center support.
For more info on the developments, please see the itlwm project on GitHub: itlwm

Clover's revival? A frankestien of a bootloader

As many in the community have seen, a new bootloader popped up back in April of 2019 called OpenCore. This bootloader was made by the same people behind projects such as Lilu, WhateverGreen, AppleALC and many other extremely important utilities for both the Mac and Hackintosh community. OpenCore's design had been properly thought out with security auditing and proper road mapping laid down, it was clear that this was to be the next stage of hackintoshing for the years we have left with x86.
And now lets bring this back to the old crowd favorite, Clover. Clover has been having a rough time of recent both with the community and stability wise, with many devs jumping ship to OpenCore and Clover's stability breaking more and more with C++ rewrites, it was clear Clover was on its last legs. Interestingly enough, the community didn't want Clover to die, similarly to how Chameleon lived on through Enoch. And thus, we now have the Clover OpenCore integration project(Now merged into Master with r5123+).
The goal is to combine OpenCore into Clover allowing the project to live a bit longer, as Clover's current state can no longer boot macOS Big Sur or older versions of OS X such as 10.6. As of writing, this project seems to be a bit confusing as there seems to be little reason to actually support Clover. Many of Clover's properties have feature-parity in OpenCore and trying to combine both C++ and C ruins many of the features and benefits either languages provide. The main feature OpenCore does not support is macOS-only ACPI injection, however the reasoning is covered here: Does OpenCore always inject SMBIOS and ACPI data into other OSes?

Death of x86 and the future of Hackintoshing

With macOS Big Sur, a big turning point is about to happen with Apple and their Macs. As we know it, Apple will be shifting to in-house designed Apple Silicon Macs(Really just ARM) and thus x86 machines will slowly be phased out of their lineup within 2 years.
What does this mean for both x86 based Macs and Hackintoshing in general? Well we can expect about 5 years of proper OS support for the iMac20,x series which released earlier this year with an extra 2 years of security updates. After this, Apple will most likely stop shipping x86 builds of macOS and hackintoshing as we know it will have passed away.
For those still in denial and hope something like ARM Hackintoshes will arrive, please consider the following:
So while we may be heart broken the journey is coming to a stop in the somewhat near future, hackintoshing will still be a time piece in Apple's history. So enjoy it now while we still can, and we here at Dortania will still continue supporting the community with our guides till the very end!

Getting ready for macOS 11, Big Sur

This will be your short run down if you skipped the above:
For the last 2, see here on how to update: Updating OpenCore, Kexts and macOS
In regards to downloading Big Sur, currently gibMacOS in macOS or Apple's own software updater are the most reliable methods for grabbing the installer. Windows and Linux support is still unknown so please stand by as we continue to look into this situation, macrecovery.py may be more reliable if you require the recovery package.
And as with every year, the first few weeks to months of a new OS release are painful in the community. We highly advise users to stay away from Big Sur for first time installers. The reason is that we cannot determine whether issues are Apple related or with your specific machine, so it's best to install and debug a machine on a known working OS before testing out the new and shiny.
For more in-depth troubleshooting with Big Sur, see here: OpenCore and macOS 11: Big Sur
submitted by dracoflar to hackintosh [link] [comments]

Don't Be A Basic Bench: A Comprehensive Introductory Guide

Hello everyone!
In an effort to keep the subreddit and its wiki filled with good and useful information, we are compiling guides for the main lifts (deadlift, squat, bench, potentially others). These guides will be added to the wiki and posted as posts as they are completed. The goal of these guides is to provide basic lift information, descriptions of some common variations, equipment considerations, related and complimentary exercises, additional resources for further reading, and to showcase incredible women (and non-binary folks) performing these lifts.
This is the second entry in this lift series. Check out the first entry, The Deadlift Guide in the FAQ!
If you have suggestions regarding things that should be added to these guides, or other subjects you'd like to see in the wiki, please message the mods!

The Bench Press

Bench Press Form and Variations

The main muscle group worked by the bench press is the pectoralis major, which is the largest muscle in the chest area. The pectoralis major muscle has two sections that are named for the bones they attach to – the sternal portion attaches to the breast bone and makes up the bulk of the muscle fibers, making up the middle and lower section; the clavicular portion attaches to the collarbone and is the more superior (upper) portion. The bench press also heavily involves the triceps (back of the upper arm), and recruits the deltoid muscles (shoulder), and pectoralis minor to lesser extents.
I’ll first be discussing the form for a standard, flat, “neutral/wide” grip bench press. Variations on this will be discussed below it. This guide is written for barbell bench pressing, but all of these variations can be performed with dumbbells as well.
Flat bench – the standard/”default” bench press Start out flat on the bench with bar directly over your eyes (with spotter) or over your nose/mouth (without spotter), feet flat, butt and upper back planted firmly on the bench. Arching of the lumbar spine is normal, fine, and absolutely legal in lifting competitions. Scapulas (shoulderblades) should be retracted or “pinched together” to provide both a stable flat surface for your upper back to settle on the bench, and to minimize undue tension on your shoulder joints. Retracting your scapulae will also puff your chest up and put your shoulders in a safer position for the lift.
The bar should rest in the heel of your palm so that it is stacked above the wrist, forearm, and elbows through the lift. A slight internal rotation of the hands will help with this positioning and will angle your elbows out slightly. For a standard flat bench press, your hands will be a bit further apart than shoulder width – about 1.5-2x shoulder width is the average position – position your hands so that your forearms will be almost completely perpendicular to the floor at the bottom of the lift.
Retract your scapulae (as if you’re trying to pick up a pencil off the bench between them), keep actively pushing your chest up, take in a big belly breath, and hold it before pushing the bar away from the rack and locking out at the elbows. Bring the bar down your torso so that it is directly over the line of your shoulders – this is likely going to be about the level of the middle of your sternum or your nipple line, but may vary depending on your individual anatomy and the degree of arching your back is doing.
The bar should be directly above your elbows at all times during the movement of the lift. This not only increases stability during the lift, but also prevents undue stress on your triceps or your shoulders. It also is the most efficient configuration for using the majority of the muscle fibers within the pectoralis major.
Speaking of efficiency in recruiting pectoral muscle fibers, let’s talk about arching your back during a bench press. This is a faux controversy like “sumo deadlifting is cheating” – the claim is that an arch will significantly decrease the range of motion for the bar, making the lift “easier”. While the purpose of the arch is to slightly decrease the range of motion, it also makes the lift safer at the bottom of the movement, which is the riskiest for your shoulder joints. It also serves to recruit more of your pectoral muscle fibers to the lift – this should increase the amount of weight one can lift and impact muscle growth when the goal is hypertrophy.
Degree of arching is going to be up to personal preference and anatomy, but some degree of arch is natural and normal. Check out the natural position of the spine and you can see that the lumbar spine (lower back) has a natural forward curve (lordosis) which helps with loadbearing since we’re just hairless upright apes. An arch during bench press may be anywhere from your normal lumbar spine position to an exaggeration of your body’s natural lordosis.
As you lower the bar, keep tension in your upper body by trying to “break the bar in half” or “rip the bar apart” until it touches your mid-to-lower sternum (depending on anatomy and degree of arch). After a touch (and brief pause, if you’re powerlifting), push the bar back upwards and slightly backwards towards your face to lockout. You can now exhale that big belly breath you’ve been holding for the duration of the rep.

How-To Guides/Videos

Bench Press Variations

Helpful Bench Press Cues

Supplemental/Complimentary Exercises

MegSquats also recently posted a “3 tips for push ups” post that several of our users have already mentioned as being helpful.

Equipment, Tools, and Other Considerations

These items are not required to be successful in bench pressing, but can be beneficial to lifters that bench press at any skill or weight level.

Badass Women Bench Pressing Obscene Numbers

Jen Thompson using wrist straps, slingshot, and benchblokz to bench 340lbs 3x
Jen Thompson 330lb PR
Jen Thompson just holding 550lbs in lockout because god damn
Kimberly Walford, legs up 231.5lb
Kimberly Walford, 253.5lbs – note bar path
April Mathis, 355lbs plus 115lbs in chains
Shannon Nash, 380lbs at 185lb BW
Allison Hind – 345lbs at 165BW and 335lbs at 148BW
17 year old Samantha Eugenie, 217lb at 139lbs. Extreme but legal arch - her butt is still in contact with the bench
submitted by Joonami to xxfitness [link] [comments]

GameMaker Studio 2.3.1 will allow you to build games for Raspberry Pi - here's how to get it all working!

GameMaker: Studio 2.3.1 will be introducing a significant amount of support for platforms running on ARM. For the most part, exporting to these platforms is a subset of the target platforms (specifically Mac OS and Ubuntu/Linux) that already are supported by GMS2, but the magic happens in the export! If the platform you’re targeting is running on an ARM processor, the build process will handle the heavy lifting.
I’ve left a full guide below to getting your projects running on a Raspberry Pi - here are the important take-away’s if you’re familiar with the Ubuntu export process
Warning: Depending on your project, performance will vary significantly - you should expect to overclock your Raspberry Pi CPU and GPU clock speeds to achieve best performance in graphically intense games. Most folks have their Pi’s overclocked, and it’s a very straight forward process that you can learn about here. I suggest getting a case for your Pi with heatsinks and fan, regardless of your configuration.

Known Supported Linux Distributions for building GMS2 projects on RPi

It’s important to note, while I haven’t tried it, the binaries generated should work fine on most distros running on ARMv8.

How-to

What you’ll need:

Step 1: Setting up your Raspberry Pi

There are plenty of guides for how to do this online, so I’ll assume you can figure most of this out.Prepare your SD card with either Raspbian or Ubuntu MATE and boot into it on your Raspberry Pi. I suggest going with Raspbian, and most of my notes in here will be specific to it - it will be the most straight-forward option and likely the best performance on Pi.
Once Raspbian has booted, let it update using the built-in update manager (it might take a little while)
Find a way to entertain yourself... this might take a little bit.

Step 2: Install the dependencies

This is pretty much the same as it would be in any regular Linux setup to build your GMS2 projects, however, if you’re using Raspbian some of the regular dependencies will already be installed - so I’ve skipped the ones we won’t need right now in the list below. If you’re having an issue or using Ubuntu MATE, check out the full list here.
> Open "Terminal"
For each of these you’ll type “sudo apt install” followed by the listed name, so for the first one we’ll go:
sudo apt install clang 
And go through the whole list:
clang libssl-dev libxrandr-dev libxxf86vm-dev libopenal-dev libgl1-mesa-dev libglu1-mesa-dev libcurl4-openssl-dev libxfont1 
Speed x3000... I didn't want to make you wait here.

Step 3: Enable SSH

Raspbian has the OpenSSH server dependency that GameMaker: Studio needs already installed, but it’s inactive by default. Browse to the Raspberry Pi Configuration window (located in the Raspberry Pi icon menu > Preferences > Raspberry Pi Configuration and over to the tab “Interfaces”. Enable SSH and press OK.

Do not forget to enable SSH!

Step 4: Reboot

I can’t stress this enough - Reboot your Pi. Just do it, it may or may not do anything at this point, but it’s better than not doing it.

Step 5: Set up your connection in GameMaker

This is pretty straight-forward. In the upper right hand corner of your IDE window, change your target platform to Ubuntu.Add a Device for your Raspberry Pi.
You can set the Display Name to anything you’d like to,
Host Name should be the local ip address for the Raspberry Pi - an easy way to get this is by typing “hostname -I” into your terminal on the Raspberry Pi.
By default, if using Raspbian, your username is “pi” and your password is what you set during the Raspbian setup.

Here's what my device looks like - your hostname is most definitely different <3
Press “Test Connection” - you should see a message that the connection was successful! If not, double check that the IP address you dropped into Host Name is correct and that you followed step 3 to enable the SSH server.
Press “OK” once you’ve gotten a Connection Successful message, and you’re off to the races!

Step 6: Build your project on your Raspberry Pi

Once you’ve ensured that your target is available, all you have to do is press the “Run” button in GameMaker. You should shortly see your project open and start running on your Raspberry Pi!
Both the Runner (VM) and Compiler (YYC) work properly with Raspbian and Ubuntu MATE.
If you export your project, it will work the same way it does on other platforms - it will build on the Raspberry Pi and send back a .zip file containing the binaries needed to run it on most Raspberry Pi’s to the machine running your IDE.
I think this was pre-overclocking for me (and with some background processes running, like NoMachine). Without NoMachine this holds a steady ~60fps, which is where it should be.
submitted by anon1141514 to gamemaker [link] [comments]

VALORANT Patch Notes 1.09

VALORANT Patch Notes 1.09

Visualization of changes
Riot KOREA official breakdown video w/ English Subtitles

AGENT UPDATES

OMEN

Paranoia
We’re keeping an eye on the overall power level of Paranoia, but as a first step wanted to resolve visual issues where players hit with Paranoia appear outside of its impact on their screen.

JETT

Blade Storm (Burst Fire)
While we continue to investigate some of her outsized strengths, we think the burst fire on her Blade Storm has been over-performing at long ranges. The burst fire is intended to be a close range attack, but we found it frequently getting frags at over 20 meters away. These changes aim to rein in its effective range while retaining its close range potency.

VIPER

Fuel
Now that Viper can place her wall pre-round, we want her to be able to act with her team right at barrier drop without the tension of also trying to maximize her fuel for an initial move.
Snake Bite
Immediately dropping the vulnerable debuff upon exit wasn’t creating the threat we’ve hoped for when we added it. This change should make the Viper (and team) advantage window more realistic, as well as project a unique threat on opponents playing around it.
Viper’s Pit
The combination of a slow placement and re-equip time was resulting in Viper players getting too hurt or killed while casting ults in a situation we felt should be pretty safe. This change should increase the positional options available while casting, and get your weapon up sooner.

REYNA

Empress
At its previous fire rate, we felt Empress was too effective when using heavies/smgs, AND too fast to master the change in spray pattern on rifles. We hope this change allows us to address both issues at once, while also giving us a chance to have a unified fire rate increase (matching Brimstone’s stim below) that players can learn and master.

BRIMSTONE

Stim Beacon
Paired with Reyna’s change (above), we felt Brimstone’s stim could use a little more punch. This also unifies our two fire rate increase buffs, making them easier to learn.

WEAPON UPDATES

Operator

All Weapons

COMPETITIVE UPDATES

This is already a very rare occurrence, but it can happen more often for high rank players—especially in premade groups. We are also doing some tuning behind the scenes to keep high rank matches found after long queue times reasonably balanced and fair.

SOCIAL UPDATES

Players that have been reported for inappropriate Riot IDs will now be reviewed automatically after the match has ended. If their name is flagged as inappropriate, they will be forced to change their Riot ID the next time they log in to the Riot Client.
Some sneaky people were impersonating system messages to troll others into quitting a match. Enough!
Sorting algorithm for the social panel has been updated to make it more intuitive for players as they interact with it.

BUG FIXES

submitted by MentallyStableMan to ValorantCompetitive [link] [comments]

Facebook Connect / Quest 2 - Speculations Megathread

EDIT: MAJOR UPDATE AT BOTTOM
Welcome to the "Speculations" mega thread for the device possibly upcoming in the Oculus Quest line-up. This thread will be a compilation of leaks, speculation & rumors updated as new information comes out.
Let's have some fun and go over some of the leaks, rumors, speculation all upcoming before Facebook Connect, we'll have a full mega thread going during Connect, but this should be a great thread for remembrance afterward.
Facebook Connect is happening September 16th at 10 AM PST, more information can be found here.

Leaks
In March, Facebook’s public Developer Documentation website started displaying a new device called ‘Del Mar’, with a ‘First Access’ program for developers.
In May, we got the speculated specs, based off the May Bloomberg Report (Original Paywall Link)
• “at least 90Hz” refresh rate
• 10% to 15% smaller than the current Quest
• around 20% lighter
• “the removal of the fabric from the sides and replacing it with more plastic”
• “changing the materials used in the straps to be more elastic than the rubber and velcro currently used”
• “a redesigned controller that is more comfortable and fixes a problem with the existing controller”

On top of that, the "Jedi Controller" drivers leaked, which are now assumed to be V3 Touch Controllers for the upcoming device.
The IMUs seem significantly improved & the reference to a 60Hz (vs 30hz) also seems to imply improved tracking.
It's also said to perhaps have improved haptics & analog finger sensing instead of binary/digital.
Now as of more recent months, we had the below leaks.
Render (1), (2)
Walking Cat seems to believe the device is called "Quest 2", unfortunately since then, his twitter has been taken down.
Real-life pre-release model photos
Possible IPD Adjustment
From these photos and details we can discern that:
Further features speculation based on firmware digging (thanks Reggy04 from the VR Discord for quite a few of these), as well as other sources, all linked.

Additional Sources: 1/2/3/4
Headset Codenames
We've seen a few codenames going around at this point, Reggy04 provided this screenshot that shows the following new codenames.
Pricing Rumors
So far, the most prevalent pricing we've seen is 299 for 64gb, and 399 for 256GB
These were shown by a Walmart page for Point Reyes with a release date of September 16 and a Target price leak with a street date of October 13th

Speculation
What is this headset?
Speculation so far is this headset is a Quest S or Quest 2
OR
This is a flat-out cheaper-to-manufacture, small upgrade to the Oculus Quest to keep up with demand and to iterate the design slowly.
Again, This is all speculation, nothing is confirmed or set in stone.
What do you think this is and what we'll see at FB Connect? Let's talk!
Rather chat live? Join us on the VR Discord
EDIT: MAJOR UPDATE - Leaked Videos.
6GB of RAM, XR2 Platform, "almost 4k display" (nearly 2k per eye) Source
I am mirroring all the videos in case they get pulled down.
Mirrors: Oculus Hand Tracking , Oculus Casting, Health and Safety, Quest 2 Instructions, Inside the Upgrade
submitted by charliefrench2oo8 to OculusQuest [link] [comments]

No gods, no kings, only NOPE - or divining the future with options flows. [Part 3: Hedge Winding, Unwinding, and the NOPE]

Hello friends!
We're on the last post of this series ("A Gentle Introduction to NOPE"), where we get to use all the Big Boy Concepts (TM) we've discussed in the prior posts and put them all together. Some words before we begin:
  1. This post will be massively theoretical, in the sense that my own speculation and inferences will be largely peppered throughout the post. Are those speculations right? I think so, or I wouldn't be posting it, but they could also be incorrect.
  2. I will briefly touch on using the NOPE this slide, but I will make a secondary post with much more interesting data and trends I've observed. This is primarily for explaining what NOPE is and why it potentially works, and what it potentially measures.
My advice before reading this is to glance at my prior posts, and either read those fully or at least make sure you understand the tl;drs:
https://www.reddit.com/thecorporation/collection/27dc72ad-4e78-44cd-a788-811cd666e32a
Depending on popular demand, I will also make a last-last post called FAQ, where I'll tabulate interesting questions you guys ask me in the comments!
---
So a brief recap before we begin.
Market Maker ("Mr. MM"): An individual or firm who makes money off the exchange fees and bid-ask spread for an asset, while usually trying to stay neutral about the direction the asset moves.
Delta-gamma hedging: The process Mr. MM uses to stay neutral when selling you shitty OTM options, by buying/selling shares (usually) of the underlying as the price moves.
Law of Surprise [Lily-ism]: Effectively, the expected profit of an options trade is zero for both the seller and the buyer.
Random Walk: A special case of a deeper probability probability called a martingale, which basically models stocks or similar phenomena randomly moving every step they take (for stocks, roughly every millisecond). This is one of the most popular views of how stock prices move, especially on short timescales.
Future Expected Payoff Function [Lily-ism]: This is some hidden function that every market participant has about an asset, which more or less models all the possible future probabilities/values of the assets to arrive at a "fair market price". This is a more generalized case of a pricing model like Black-Scholes, or DCF.
Counter-party: The opposite side of your trade (if you sell an option, they buy it; if you buy an option, they sell it).
Price decoherence ]Lily-ism]: A more generalized notion of IV Crush, price decoherence happens when instead of the FEPF changing gradually over time (price formation), the FEPF rapidly changes, due usually to new information being added to the system (e.g. Vermin Supreme winning the 2020 election).
---
One of the most popular gambling events for option traders to play is earnings announcements, and I do owe the concept of NOPE to hypothesizing specifically about the behavior of stock prices at earnings. Much like a black hole in quantum mechanics, most conventional theories about how price should work rapidly break down briefly before, during, and after ER, and generally experienced traders tend to shy away from playing earnings, given their similar unpredictability.
Before we start: what is NOPE? NOPE is a funny backronym from Net Options Pricing Effect, which in its most basic sense, measures the impact option delta has on the underlying price, as compared to share price. When I first started investigating NOPE, I called it OPE (options pricing effect), but NOPE sounds funnier.
The formula for it is dead simple, but I also have no idea how to do LaTeX on reddit, so this is the best I have:

https://preview.redd.it/ais37icfkwt51.png?width=826&format=png&auto=webp&s=3feb6960f15a336fa678e945d93b399a8e59bb49
Since I've already encountered this, put delta in this case is the absolute value (50 delta) to represent a put. If you represent put delta as a negative (the conventional way), do not subtract it; add it.
To keep this simple for the non-mathematically minded: the NOPE today is equal to the weighted sum (weighted by volume) of the delta of every call minus the delta of every put for all options chains extending from today to infinity. Finally, we then divide that number by the # of shares traded today in the market session (ignoring pre-market and post-market, since options cannot trade during those times).
Effectively, NOPE is a rough and dirty way to approximate the impact of delta-gamma hedging as a function of share volume, with us hand-waving the following factors:
  1. To keep calculations simple, we assume that all counter-parties are hedged. This is obviously not true, especially for idiots who believe theta ganging is safe, but holds largely true especially for highly liquid tickers, or tickers will designated market makers (e.g. any ticker in the NASDAQ, for instance).
  2. We assume that all hedging takes place via shares. For SPY and other products tracking the S&P, for instance, market makers can actually hedge via futures or other options. This has the benefit for large positions of not moving the underlying price, but still makes up a fairly small amount of hedges compared to shares.

Winding and Unwinding

I briefly touched on this in a past post, but two properties of NOPE seem to apply well to EER-like behavior (aka any binary catalyst event):
  1. NOPE measures sentiment - In general, the options market is seen as better informed than share traders (e.g. insiders trade via options, because of leverage + easier to mask positions). Therefore, a heavy call/put skew is usually seen as a bullish sign, while the reverse is also true.
  2. NOPE measures system stability
I'm not going to one-sentence explain #2, because why say in one sentence what I can write 1000 words on. In short, NOPE intends to measure sensitivity of the system (the ticker) to disruption. This makes sense, when you view it in the context of delta-gamma hedging. When we assume all counter-parties are hedged, this means an absolutely massive amount of shares get sold/purchased when the underlying price moves. This is because of the following:
a) Assume I, Mr. MM sell 1000 call options for NKLA 25C 10/23 and 300 put options for NKLA 15p 10/23. I'm just going to make up deltas because it's too much effort to calculate them - 30 delta call, 20 delta put.
This implies Mr. MM needs the following to delta hedge: (1000 call options * 30 shares to buy for each) [to balance out writing calls) - (300 put options * 20 shares to sell for each) = 24,000 net shares Mr. MM needs to acquire to balance out his deltas/be fully neutral.
b) This works well when NKLA is at $20. But what about when it hits $19 (because it only can go down, just like their trucks). Thanks to gamma, now we have to recompute the deltas, because they've changed for both the calls (they went down) and for the puts (they went up).
Let's say to keep it simple that now my calls are 20 delta, and my puts are 30 delta. From the 24,000 net shares, Mr. MM has to now have:
(1000 call options * 20 shares to have for each) - (300 put options * 30 shares to sell for each) = 11,000 shares.
Therefore, with a $1 shift in price, now to hedge and be indifferent to direction, Mr. MM has to go from 24,000 shares to 11,000 shares, meaning he has to sell 13,000 shares ASAP, or take on increased risk. Now, you might be saying, "13,000 shares seems small. How would this disrupt the system?"
(This process, by the way, is called hedge unwinding)
It won't, in this example. But across thousands of MMs and millions of contracts, this can - especially in highly optioned tickers - make up a substantial fraction of the net flow of shares per day. And as we know from our desk example, the buying or selling of shares directly changes the price of the stock itself.
This, by the way, is why the NOPE formula takes the shape it does. Some astute readers might notice it looks similar to GEX, which is not a coincidence. GEX however replaces daily volume with open interest, and measures gamma over delta, which I did not find good statistical evidence to support, especially for earnings.
So, with our example above, why does NOPE measure system stability? We can assume for argument's sake that if someone buys a share of NKLA, they're fine with moderate price swings (+- $20 since it's NKLA, obviously), and in it for the long/medium haul. And in most cases this is fine - we can own stock and not worry about minor swings in price. But market makers can't* (they can, but it exposes them to risk), because of how delta works. In fact, for most institutional market makers, they have clearly defined delta limits by end of day, and even small price changes require them to rebalance their hedges.
This over the whole market adds up to a lot shares moving, just to balance out your stupid Robinhood YOLOs. While there are some tricks (dark pools, block trades) to not impact the price of the underlying, the reality is that the more options contracts there are on a ticker, the more outsized influence it will have on the ticker's price. This can technically be exactly balanced, if option put delta is equal to option call delta, but never actually ends up being the case. And unlike shares traded, the shares representing the options are more unstable, meaning they will be sold/bought in response to small price shifts. And will end up magnifying those price shifts, accordingly.

NOPE and Earnings

So we have a new shiny indicator, NOPE. What does it actually mean and do?
There's much literature going back to the 1980s that options markets do have some level of predictiveness towards earnings, which makes sense intuitively. Unlike shares markets, where you can continue to hold your share even if it dips 5%, in options you get access to expanded opportunity to make riches... and losses. An options trader betting on earnings is making a risky and therefore informed bet that he or she knows the outcome, versus a share trader who might be comfortable bagholding in the worst case scenario.
As I've mentioned largely in comments on my prior posts, earnings is a special case because, unlike popular misconceptions, stocks do not go up and down solely due to analyst expectations being meet, beat, or missed. In fact, stock prices move according to the consensus market expectation, which is a function of all the participants' FEPF on that ticker. This is why the price moves so dramatically - even if a stock beats, it might not beat enough to justify the high price tag (FSLY); even if a stock misses, it might have spectacular guidance or maybe the market just was assuming it would go bankrupt instead.
To look at the impact of NOPE and why it may play a role in post-earnings-announcement immediate price moves, let's review the following cases:
  1. Stock Meets/Exceeds Market Expectations (aka price goes up) - In the general case, we would anticipate post-ER market participants value the stock at a higher price, pushing it up rapidly. If there's a high absolute value of NOPE on said ticker, this should end up magnifying the positive move since:
a) If NOPE is high negative - This means a ton of put buying, which means a lot of those puts are now worthless (due to price decoherence). This means that to stay delta neutral, market makers need to close out their sold/shorted shares, buying them, and pushing the stock price up.
b) If NOPE is high positive - This means a ton of call buying, which means a lot of puts are now worthless (see a) but also a lot of calls are now worth more. This means that to stay delta neutral, market makers need to close out their sold/shorted shares AND also buy more shares to cover their calls, pushing the stock price up.
2) Stock Meets/Misses Market Expectations (aka price goes down) - Inversely to what I mentioned above, this should push to the stock price down, fairly immediately. If there's a high absolute value of NOPE on said ticker, this should end up magnifying the negative move since:
a) If NOPE is high negative - This means a ton of put buying, which means a lot of those puts are now worth more, and a lot of calls are now worth less/worth less (due to price decoherence). This means that to stay delta neutral, market makers need to sell/short more shares, pushing the stock price down.
b) If NOPE is high positive - This means a ton of call buying, which means a lot of calls are now worthless (see a) but also a lot of puts are now worth more. This means that to stay delta neutral, market makers need to sell even more shares to keep their calls and puts neutral, pushing the stock price down.
---
Based on the above two cases, it should be a bit more clear why NOPE is a measure of sensitivity to system perturbation. While we previously discussed it in the context of magnifying directional move, the truth is it also provides a directional bias to our "random" walk. This is because given a price move in the direction predicted by NOPE, we expect it to be magnified, especially in situations of price decoherence. If a stock price goes up right after an ER report drops, even based on one participant deciding to value the stock higher, this provides a runaway reaction which boosts the stock price (due to hedging factors as well as other participants' behavior) and inures it to drops.

NOPE and NOPE_MAD

I'm going to gloss over this section because this is more statistical methods than anything interesting. In general, if you have enough data, I recommend using NOPE_MAD over NOPE. While NOPE in theory represents a "real" quantity (net option delta over net share delta), NOPE_MAD (the median absolute deviation of NOPE) does not. NOPE_MAD simply answecompare the following:
  1. How exceptional is today's NOPE versus historic baseline (30 days prior)?
  2. How do I compare two tickers' NOPEs effectively (since some tickers, like TSLA, have a baseline positive NOPE, because Elon memes)? In the initial stages, we used just a straight numerical threshold (let's say NOPE >= 20), but that quickly broke down. NOPE_MAD aims to detect anomalies, because anomalies in general give you tendies.
I might add the formula later in Mathenese, but simply put, to find NOPE_MAD you do the following:
  1. Calculate today's NOPE score (this can be done end of day or intraday, with the true value being EOD of course)
  2. Calculate the end of day NOPE scores on the ticker for the previous 30 trading days
  3. Compute the median of the previous 30 trading days' NOPEs
  4. From the median, find the 30 days' median absolute deviation (https://en.wikipedia.org/wiki/Median_absolute_deviation)
  5. Find today's deviation as compared to the MAD calculated by: [(today's NOPE) - (median NOPE of last 30 days)] / (median absolute deviation of last 30 days)
This is usually reported as sigma (σ), and has a few interesting properties:
  1. The mean of NOPE_MAD for any ticker is almost exactly 0.
  2. [Lily's Speculation's Speculation] NOPE_MAD acts like a spring, and has a tendency to reverse direction as a function of its magnitude. No proof on this yet, but exploring it!

Using the NOPE to predict ER

So the last section was a lot of words and theory, and a lot of what I'm mentioning here is empirically derived (aka I've tested it out, versus just blabbered).
In general, the following holds true:
  1. 3 sigma NOPE_MAD tends to be "the threshold": For very low NOPE_MAD magnitudes (+- 1 sigma), it's effectively just noise, and directionality prediction is low, if not non-existent. It's not exactly like 3 sigma is a play and 2.9 sigma is not a play; NOPE_MAD accuracy increases as NOPE_MAD magnitude (either positive or negative) increases.
  2. NOPE_MAD is only useful on highly optioned tickers: In general, I introduce another parameter for sifting through "candidate" ERs to play: option volume * 100/share volume. When this ends up over let's say 0.4, NOPE_MAD provides a fairly good window into predicting earnings behavior.
  3. NOPE_MAD only predicts during the after-market/pre-market session: I also have no idea if this is true, but my hunch is that next day behavior is mostly random and driven by market movement versus earnings behavior. NOPE_MAD for now only predicts direction of price movements right between the release of the ER report (AH or PM) and the ending of that market session. This is why in general I recommend playing shares, not options for ER (since you can sell during the AH/PM).
  4. NOPE_MAD only predicts direction of price movement: This isn't exactly true, but it's all I feel comfortable stating given the data I have. On observation of ~2700 data points of ER-ticker events since Mar 2019 (SPY 500), I only so far feel comfortable predicting whether stock price goes up (>0 percent difference) or down (<0 price difference). This is +1 for why I usually play with shares.
Some statistics:
#0) As a baseline/null hypothesis, after ER on the SPY500 since Mar 2019, 50-51% price movements in the AH/PM are positive (>0) and ~46-47% are negative (<0).
#1) For NOPE_MAD >= +3 sigma, roughly 68% of price movements are positive after earnings.
#2) For NOPE_MAD <= -3 sigma, roughly 29% of price movements are positive after earnings.
#3) When using a logistic model of only data including NOPE_MAD >= +3 sigma or NOPE_MAD <= -3 sigma, and option/share vol >= 0.4 (around 25% of all ERs observed), I was able to achieve 78% predictive accuracy on direction.

Caveats/Read This

Like all models, NOPE is wrong, but perhaps useful. It's also fairly new (I started working on it around early August 2020), and in fact, my initial hypothesis was exactly incorrect (I thought the opposite would happen, actually). Similarly, as commenters have pointed out, the timeline of data I'm using is fairly compressed (since Mar 2019), and trends and models do change. In fact, I've noticed significantly lower accuracy since the coronavirus recession (when I measured it in early September), but I attribute this mostly to a smaller date range, more market volatility, and honestly, dumber option traders (~65% accuracy versus nearly 80%).
My advice so far if you do play ER with the NOPE method is to use it as following:
  1. Buy/short shares approximately right when the market closes before ER. Ideally even buying it right before the earnings report drops in the AH session is not a bad idea if you can.
  2. Sell/buy to close said shares at the first sign of major weakness (e.g. if the NOPE predicted outcome is incorrect).
  3. Sell/buy to close shares even if it is correct ideally before conference call, or by the end of the after-market/pre-market session.
  4. Only play tickers with high NOPE as well as high option/share vol.
---
In my next post, which may be in a few days, I'll talk about potential use cases for SPY and intraday trends, but I wanted to make sure this wasn't like 7000 words by itself.
Cheers.
- Lily
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[ Poll results!!] Drag Race Holland Episode 5: 'Snatch Game.'

[ Poll results!!] Drag Race Holland Episode 5: 'Snatch Game.'
So once again I am surprised at your reactions, I expected you to disagree HARD with the judges on this episode, but besides the mini-challenge and the runway most of the answers generally agree with the judges. Though that could also be attributed to it being the top 6 and there's just not enough space to disagree anymore. What are you looking for next week? Who's your personal favourite of the top 5 and what are your views on the gender-binary? I'm looking forward to the discussion below and I'm also looking forward to having some less serious bonus question again haha. See you next sunday with another poll!
We're all born and the rest is drag; who do you think had the best nude photo? / We zijn allemaal naaktgeboren en de rest is drag; wie vindt jij dat de beste naaktfoto had?
1. ChelseaBoy – 263 (34,3%)
2. Envy Peru – 190 (24,8%)
3. Janey Jacké – 121 (15,8%)
4. Ma’Ma Queen – 118 (15,4%)
5. Sederginne – 41 (5,4%)
6. Miss Abby OMG – 33 (4,8%)
Then we headed straight into the snatch game; which queens had the best snatch? / Toen gingen we direct door naar de snatch game; wie gaf jou de beste 'snatch?'
1. ChelseaBoy (Joe Exotic) – 549 (71,7%)
2. Envy Peru (Patty Brard)– 181 (23,6%)
3. No opinion / geen mening – 33 (4,3%)
4. Miss Abby OMG (Michella Kox) – 1 (0,1%)
5. Janey Jacké (Anny Schilder) – 0 (0,0%)
6. Ma’Ma Queen (Ryanne van Dorst) – 0 (0,0%)
7. Sederginne (Mega Mega Mindy) – (0,0%)
Our Tiger King
Dutch exclusive question: Nou jongens, ik heb dit in mijn eigen kringen lopen roepen voordat we wisten dat we een snatchgame zouden krijgen; maar ik vind persoonlijk dat ze 'Ranking the Stars' als format hadden moeten nemen. Het is in vorm een vergelijkbaar spel, en daarnaast heel herkenbaar voor de gewone Nederlander. Wat is jullie mening hier in?
Disclaimer: I’ve left out the percentages in the results of this question as the overwhelming majority (over 600 respondents) is not Dutch (yay international audience!).
1. Ik ben het hier wel mee eens – 48
2. Als het grappiger was geweest dan deze snatch game dan zou ik het er wel mee eens zijn hoor! - 39
3. Ik sta hier neutral in - 28
4. Ik ben Anny Schilder – 28
5. Ik ben het er niet mee eens – 16
For reference this is 'Ranking the Stars,' a program in which Dutch celebs rank eachother comedically based on a humorous prompt. As I asked in this exclusively Dutch question, it's a program which in form and content is similar to Snatch Game but which I think would have worked better for Drag Race Holland.
Category is: 'Split Personality,' which 3 looks made you feel moist in your split? / categorie is: 'Gespleten persoonlijkheid,' welke 3 looks maakten het vocht in je spleetje warm?
· ChelseaBoy – 695 (90,7%)
· Ma’Ma Queen – 672 (87,7%)
· Envy Peru – 552 (72,1%)
· Janey Jacké – 267 (34,9%)
· Miss Abby OMG – 69 (nice (9%))
· Sederginne – 43 (5,6%)
Who would you give your top toot to? wie zou jij je top toet geven?
1. ChelseaBoy – 392 (51,4%)
2. Ma’Ma Queen – 245 (32,2%)
3. Envy Peru – 91 (11,9%)
4. Janey Jacké – 27 (3,5%)
5. Miss Abby OMG – 5 (0,7%)
6. Sederginne – 2 (0,3%)
Our top toot of the week is: ChelseaBoy!
Based on the runway, as well as both challenges; who would you say 'condragulations, you're the winner of this week.' to? / Gebaseerd op de runway en de beide challenges; wie zou jij willen feliciteren met de winst van deze week?
1. ChelseaBoy – 613 (80,3%)
  1. Envy Peru – 139 (18,2%)
  2. Janey Jacké – 5 (0,7%)
  3. Ma’Ma Queen – 5 (0,7%)
  4. Miss Abby OMG – 0 (0,0%)
  5. Sederginne – 0 (0,0%)
Who would you have picked for the bottom two? / wie zou jij hebben laten lipsyncen?
· Miss Abby OMG – 695 (90,7%)
· Sederginne – 671 (87,6%)
· Janey Jacké – 81 (10,6%)
· Ma’Ma Queen – 71 (9,3%)
· Envy Peru – 11 (1,4%)
· ChelseaBoy – 3 (0,4%)
Who lost the lipsync? / wie verloor de lipsync?
1. Sederginne – 297 (39,1%)
2. Miss Abby OMG – 228 (30%)
3. Double Sashay / ze hadden beiden moeten vertrekken – 218 (28,7%)
4. Double Shantay / ze hadden beiden moeten blijven – 17 (2,2%)
Who are your favorite 3 queens thus far? / welke 3 queens zijn tot nu toe je favoriet?
· ChelseaBoy – 709 (92,6%)
· Envy Peru – 651 (85%)
· Ma’Ma Queen – 558 (72,8%)
· Janey Jacké – 302 (39,4%)
· Miss Abby OMG – 78 (10,2%)
who's your personal favorite going into next week? / welke queen uit de top 5 is je persoonlijke favoriet?
Interesting to see how our 2nd most favorite queen gets eliminated.
B-B-B-Bonus question #1 The eliminated queens have announced who they would have done on their respective socials, what snatch did you miss most on the current panel? / De geëlimineerde queens hebben op hun respectievelijke socials bekend gemaakt wie zij voor hun snatchgame zouden hebben gedaan; wie van deze had jij het liefst op het panel gezien?
Considering over 600 respondents weren’t Dutch it’s not very surprising that the top 3 here are the international choices.
1. Patty Pam Pam (option 2: Dame Edna) – 236 (32,6%)
2. Roem Service (Option 2: Miranda Priestly) – 233 (32,2%)
3. Madame Madness (Conchita Wurst) – 99 (13,7%)
4. Patty Pam Pam (option 1: Princess Beatrix) – 81 (11,2%)
5. Roem Service (option 1: Juf Ank) – 55 (7,6%)
6. Megan Schoonbrood (Rachel Hazes) – 20 (2,8%)

Patty's Dame Edna
B-B-B-Bonus question #2 the Judges response to Ma'Ma Queen's explaination for their outfit has sparked some discussion about non-binarity acceptance in the Netherlands; which response suits your opinion on the situation best: / Het jury commentaar op Ma'Ma queens uitleg van hun outfit heeft voor wat discussie gezorgd online over de acceptatie van non-binairiteit in Nederland; welk van de volgende antwoorden past het beste bij jouw mening op het onderwerp?
1. The producers should have brought in judges that are informed on the subjects that matter in the LGBTQ+ community, this is unacceptable on Drag Race. / De producenten hadden ervoor moeten zorgen dat er jury-leden zaten die op de hoogte zijn van de onderwerpen die er toe doen binnen de LHBTIQ+ gemeenschap, dit is niet acceptabel voor Drag Race. – 317 (42,2%)
  1. I think the judges were uninformed on the subject of non-binarity, which speaks to the lack of representation of non-binarity. / Ik denk dat de juryleden van het bestaan van 'non-binair zijn' niet afwisten, en dat zegt wat over de representatie van Non-binaire personen. – 201 (26,7%)
  2. I acknowledge that the producers are fighting to balance the issues on this show to keep it relevant for a mainstream audience, but if they don't want to hit controversy they should not have chosen this category or interpreted it as they did. / Ik begrijp goed dat de producenten alle onderwerpen wikken en wegen om het programma ook toegankelijk te maken voor het gewone publiek, maar als ze geen controverse willen scheppen hadden ze dit onderwerp niet moeten aansnijden of in ieder geval niet zo moeten interpreteren. – 142 (18,9%)
  3. I'm neutral on this subject, but I'm glad a discussion has started. / Ik sta hier neutral in maar ik ben blij dat een discussie op gang komt. – 61 (8,1%)
  4. I'm not informed enough on the subject matter to choose any of these answers. / Ik weet te weinig over dit onderwerp om één van deze antwoorden te kiezen. – 29 (3,9%)
B-B-B-Bonus Question #3: How do you identify? (if your option isn't in the list, choose one of the 'other' options and inform me in the comments of the reddit post on how you identify!) / Hoe identificeer jij jezelf? (als je je niet kunt vinden in de opties in de lijst kies dan een van de 'anders namelijk...' opties en geef het aan in de comments van de reddit post hoe jij je identificeert!)
Disclaimer, I had to change two of the possible answers half way through because the wording of them was bio-essentialist. I referred to 'identifying with your biological sex,' implying that biology plays a part in gender identity while gender is a social construct. instead I was given the tip to change it to 'identifying with the gender you were assigned at birth.' which is a more suitable answer in the context as it leaves biology completely out of the discussion. But because of this change Google forms categorized the changed answers as a different answer so the math of this question could be off as I added up the percentages to create two answers in the end result.
1. I identify myself along the binary and I identify with the gender that was assigned to me at birth (Cis) / Ik identificeer mijzelf langs de binaire verdeling en ik identificeer mij met het geslacht wat mij bij mijn geboorte is toegewezen(Cis.) – 550 (74,8%)
  1. I identify myself along the binary but I'm fluid in my identity (genderfluid) / Ik identificeer mezelf langs de binaire verdeling maar ik ben fluïde in mijn identiteit (gender fluïde) – 55 (7,5%)
  2. I don't identify myself along the binary (non-binary) / Ik identificeer me niet langs de binaire verdeling ( non-binair) – 55 (7,5%)
  3. I don't identify myself along the binary but I don't consider myself non-binary (other...) / Ik identificeer me niet langs de binaire verdeling maar ik identificeer mij ook niet als non-binair (anders namelijk...) – 47 (6,4%)
  4. I identify myself along the binary but I don't identify as any of the other options given (other...) / Ik identificeer me wel langs de binaire verdeling maar ik identificeer me niet als een van de gegeven opties. (anders namelijk...) – 15 (2%)
  5. I identify myself along the binary but I don't identify with the gender I was assigned at birth (Trans) / Ik identificeer mijzelf langs de binaire verdeling maar ik identificeer mij niet met het geslacht dat mij bij mijn geboorte werd toegewezen(Trans). – 7 (1%)
submitted by mythologue to DragRaceHolland [link] [comments]

Subreddit Demographic Survey 2020 : The Results

2020 Childfree Subreddit Survey

1. Introduction

Once a year, this subreddit hosts a survey in order to get to know the community a little bit and in order to answer questions that are frequently asked here. Earlier this summer, several thousand of you participated in the 2020 Subreddit Demographic Survey. Only those participants who meet our wiki definition of being childfree's results were recorded and analysed.
Of these people, multiple areas of your life were reviewed. They are separated as follows:

2. Methodology

Our sample is redditors who saw that we had a survey currently active and were willing to complete the survey. A stickied post was used to advertise the survey to members.

3. Results

The raw data may be found via this link.
7305 people participated in the survey from July 2020 to October 2020. People who did not meet our wiki definition of being childfree were excluded from the survey. The results of 5134 responders, or 70.29% of those surveyed, were collated and analysed below. Percentages are derived from the respondents per question.

General Demographics

Age group

Age group Participants Percentage
18 or younger 309 6.02%
19 to 24 1388 27.05%
25 to 29 1435 27.96%
30 to 34 1089 21.22%
35 to 39 502 9.78%
40 to 44 223 4.35%
45 to 49 81 1.58%
50 to 54 58 1.13%
55 to 59 25 0.49%
60 to 64 13 0.25%
65 to 69 7 0.14%
70 to 74 2 0.04%
82.25% of the sub is under the age of 35.

Gender and Gender Identity

Age group Participants # Percentage
Agender 62 1.21%
Female 3747 73.04%
Male 1148 22.38%
Non-binary 173 3.37%

Sexual Orientation

Sexual Orientation Participants # Percentage
Asexual 379 7.39%
Bisexual 1177 22.93%
Heterosexual 2833 55.20%
Homosexual 264 5.14%
It's fluid 152 2.96%
Other 85 1.66%
Pansexual 242 4.72%

Birth Location

Because the list contains over 120 countries, we'll show the top 20 countries:
Country of birth Participants # Percentage
United States 2775 57.47%
United Kingdom 367 7.60%
Canada 346 7.17%
Australia 173 3.58%
Germany 105 2.17%
Netherlands 67 1.39%
India 63 1.30%
Poland 57 1.18%
France 47 0.97%
New Zealand 42 0.87%
Mexico 40 0.83%
Brazil 40 0.83%
Sweden 38 0.79%
Finland 31 0.64%
South Africa 30 0.62%
Denmark 28 0.58%
China 27 0.56%
Ireland 27 0.56%
Phillipines 24 0.50%
Russia 23 0.48%
90.08% of the participants were born in these countries.
These participants would describe their current city, town or neighborhood as:
Region Participants # Percentage
Rural 705 13.76
Suburban 2661 51.95
Urban 1756 34.28

Ethnicity

Ethnicity Participants # Percentage
African Descent/Black 157 3.07%
American Indian or Alaskan Native 18 0.35%
Arabic/Middle Eastern/Near Eastern 34 0.66%
Bi/Multiracial 300 5.86%
Caucasian/White 3946 77.09%
East Asian 105 2.05%
Hispanic/Latinx 271 5.29%
Indian/South Asian 116 2.27%
Indigenous Australian/Torres Straight IslandeMaori 8 0.16%
Jewish (the ethnicity, not religion) 50 0.98%
Other 32 0.63%
Pacific IslandeMelanesian 4 0.08%
South-East Asian 78 1.52%

Education

Highest Current Level of Education

Highest Current Level of Education Participants # Percentage
Associate's degree 233 4.55%
Bachelor's degree 1846 36.05%
Did not complete elementary school 2 0.04%
Did not complete high school 135 2.64%
Doctorate degree 121 2.36%
Graduated high school / GED 559 10.92%
Master's degree 714 13.95%
Post Doctorate 19 0.37%
Professional degree 107 2.09%
Some college / university 1170 22.85%
Trade / Technical / Vocational training 214 4.18%
Degree (Major) Participants # Percentage
Architecture 23 0.45%
Arts and Humanities 794 15.54%
Business and Economics 422 8.26%
Computer Science 498 9.75%
Education 166 3.25%
Engineering Technology 329 6.44%
I don't have a degree or a major 1028 20.12%
Law 124 2.43%
Life Sciences 295 5.77%
Medicine and Allied Health 352 6.89%
Other 450 8.81%
Physical Sciences 199 3.89%
Social Sciences 430 8.41%

Career and Finances

The top 10 industries our participants are working in are:
Industry Participants # Percentage
Information Technology 317 6.68%
Health Care 311 6.56%
Education - Teaching 209 4.41%
Engineering 203 4.28%
Retail 182 3.84%
Government 172 3.63%
Admin & Clerical 154 3.25%
Restaurant - Food Service 148 3.12%
Customer Service 129 2.72%
Design 127 2.68%
Note that "other", "I'm a student", "currently unemployed" and "I'm out of the work force for health or other reasons" have been disregarded for this part of the evaluation.
Out of the 3729 participants active in the workforce, the majority (1824 or 48.91%) work between 40-50 hours per week with 997 or 26.74% working 30-40 hours weekly. 6.62% work 50 hours or more per week, and 17.73% less than 30 hours.
513 or 10.13% are engaged in managerial responsibilities (ranging from Jr. to Sr. Management).
On a scale of 1 (lowest) to 10 (highest), the overwhelming majority (3340 or 70%) indicated that career plays a very important role in their lives, attributing a score of 7 and higher.
1065 participants decided not to disclose their income brackets. The remaining 4,849 are distributed as follows:
Income Participants # Percentage
$0 to $14,999 851 21.37%
$15,000 to $29,999 644 16.17%
$30,000 to $59,999 1331 33.42%
$60,000 to $89,999 673 16.90%
$90,000 to $119,999 253 6.35%
$120,000 to $149,999 114 2.86%
$150,000 to $179,999 51 1.28%
$180,000 to $209,999 25 0.63%
$210,000 to $239,999 9 0.23%
$240,000 to $269,999 10 0.25%
$270,000 to $299,999 7 0.18%
$300,000 or more 15 0.38%
87.85% earn under $90,000 USD a year.
65.82% of our childfree participants do not have a concrete retirement plan (savings, living will).

Religion and Spirituality

Faith Originally Raised In

There were more than 50 options of faith, so we aimed to show the top 10 most chosen beliefs.
Faith Participants # Percentage
Catholicism 1573 30.76%
None (≠ Atheism. Literally, no notion of spirituality or religion in the upbringing) 958 18.73%
Protestantism 920 17.99%
Other 431 8.43%
Atheism 318 6.22%
Agnosticism 254 4.97%
Anglicanism 186 3.64%
Judaism 77 1.51%
Hinduism 75 1.47%
Islam 71 1.39%
This top 10 amounts to 95.01% of the total participants.

Current Faith

There were more than 50 options of faith, so we aimed to show the top 10 most chosen beliefs:
Faith Participants # Percentage
Atheism 1849 36.23%
None (≠ Atheism. Literally, no notion of spirituality or religion currently) 1344 26.33%
Agnosticism 789 15.46%
Other 204 4.00%
Protestantism 159 3.12%
Paganism 131 2.57%
Spiritualism 101 1.98%
Catholicism 96 1.88%
Satanism 92 1.80%
Wicca 66 1.29%
This top 10 amounts to 94.65% of the participants.

Level of Current Religious Practice

Level Participants # Percentage
Wholly seculanon religious 3733 73.73%
Identify with religion, but don't practice strictly 557 11.00%
Lapsed/not serious/in name only 393 7.76%
Observant at home only 199 3.93%
Observant at home. Church/Temple/Mosque/etc. attendance 125 2.47%
Strictly observant, Church/Temple/Mosque/etc. attendance, religious practice/prayeworship impacting daily life 56 1.11%

Effect of Faith over Childfreedom

Figure 1

Effect of Childfreedom over Faith

Figure 2

Romantic and Sexual Life

Current Dating Situation

Status Participants # Percentage
Divorced 46 0.90%
Engaged 207 4.04%
Long term relationship, living together 1031 20.10%
Long term relationship, not living with together 512 9.98%
Married 1230 23.98%
Other 71 1.38%
Separated 18 0.35%
Short term relationship 107 2.09%
Single and dating around, but not looking for anything serious 213 4.15%
Single and dating around, looking for something serious 365 7.12%
Single and not looking 1324 25.81%
Widowed 5 0.10%

Childfree Partner

Is your partner childfree? If your partner wants children and/or has children of their own and/or are unsure about their position, please consider them "not childfree" for this question.
Partner Participants # Percentage
I don't have a partner 1922 37.56%
I have more than one partner and none are childfree 3 0.06%
I have more than one partner and some are childfree 35 0.68%
I have more than one partner and they are all childfree 50 0.98
No 474 9.26%
Yes 2633 51.46%

Dating a Single Parent

Would the childfree participants be willing to date a single parent?
Answer Participants # Percentage
No, I'm not interested in single parents and their ties to parenting life 4610 90.13%
Yes, but only if it's a short term arrangement of some sort 162 3.17%
Yes, whether for long term or short term, but with some conditions (must not have child custody, no kid talk, etc.), as long as I like them and long as we're compatible 199 3.89%
Yes, whether for long term or short term, with no conditions, as long as I like them and as long as we are compatible 144 2.82%

Childhood and Family Life

On a scale from 1 (very unhappy) to 10 (very happy), how would you rate your childhood?
Figure 3
Of the 5125 childfree people who responded to the question, 67.06% have a pet or are heavily involved in the care of someone else's pet.

Sterilisation

Sterilisation Status

Sterilisation Status Participants # Percentage
No, I am not sterilised and, for medical, practical or other reasons, I do not need to be 869 16.96%
No. However, I've been approved for the procedure and I'm waiting for the date to arrive 86 1.68%
No. I am not sterilised and don't want to be 634 12.37%
No. I want to be sterilised but I have started looking for a doctorequested the procedure 594 11.59%
No. I want to be sterilised but I haven't started looking for a doctorequested the procedure yet 2317 45.21%
Yes. I am sterilised 625 12.20%

Age when starting doctor shopping or addressing issue with doctor. Percentages exclude those who do not want to be sterilised and who have not discussed sterilisation with their doctor.

Age group Participants # Percentage
18 or younger 207 12.62%
19 to 24 588 35.85%
25 to 29 510 31.10%
30 to 34 242 14.76%
35 to 39 77 4.70%
40 to 44 9 0.55%
45 to 49 5 0.30%
50 to 54 1 0.06%
55 or older 1 0.06%

Age at the time of sterilisation. Percentages exclude those who have not and do not want to be sterilised.

Age group Participants # Percentage
18 or younger 5 0.79%
19 to 24 123 19.34%
25 to 29 241 37.89%
30 to 34 168 26.42%
35 to 39 74 11.64%
40 to 44 19 2.99%
45 to 49 1 0.16%
50 to 54 2 0.31%
55 or older 3 0.47%

Elapsed time between requesting procedure and undergoing procedure. Percentages exclude those who have not and do not want to be sterilised.

Time Participants # Percentage
Less than 3 months 330 50.46%
Between 3 and 6 months 111 16.97%
Between 6 and 9 months 33 5.05%
Between 9 and 12 months 20 3.06%
Between 12 and 18 months 22 3.36%
Between 18 and 24 months 15 2.29%
Between 24 and 30 months 6 0.92%
Between 30 and 36 months 2 0.31%
Between 3 and 5 years 40 6.12%
Between 5 and 7 years 25 3.82%
More than 7 years 50 7.65%

How many doctors refused at first, before finding one who would accept?

Doctor # Participants # Percentage
None. The first doctor I asked said yes 604 71.73%
One. The second doctor I asked said yes 93 11.05%
Two. The third doctor I asked said yes 54 6.41%
Three. The fourth doctor I asked said yes 29 3.44%
Four. The fifth doctor I asked said yes 12 1.43%
Five. The sixth doctor I asked said yes 8 0.95%
Six. The seventh doctor I asked said yes 10 1.19%
Seven. The eighth doctor I asked said yes 4 0.48%
Eight. The ninth doctor I asked said yes 2 0.24%
I asked more than 10 doctors before finding one who said yes 26 3.09%

Childfreedom

Primary Reason to Not Have Children

Reason Participants # Percentage
Aversion towards children ("I don't like children") 1455 28.36%
Childhood trauma 135 2.63%
Current state of the world 110 2.14%
Environmental (including overpopulation) 158 3.08%
Eugenics ("I have 'bad genes'") 57 1.11%
Financial 175 3.41%
I already raised somebody else who isn't my child 83 1.62%
Lack of interest towards parenthood ("I don't want to raise children") 2293 44.69%
Maybe interested for parenthood, but not suited for parenthood 48 0.94%
Medical ("I have a condition that makes conceiving/bearing/birthing children difficult, dangerous or lethal") 65 1.27%
Other 68 1.33%
Philosophical / Moral (e.g. antinatalism) 193 3.76%
Tokophobia (aversion/fear of pregnancy and/or chidlbirth) 291 5.67%
95.50% of childfree people are pro-choice, however only 55.93% of childfree people support financial abortion.

Dislike Towards Children

Figure 4

Working With Children

Work Participants # Percentage
I'm a student and my future job/career will heavily makes me interact with children on a daily basis 67 1.30%
I'm retired, but I used to have a job that heavily makes me interact with children on a daily basis 6 0.12%
I'm unemployed, but I used to have a job that heavily makes me interact with children on a daily basis 112 2.19%
No, I do not have a job that makes me heavily interact with children on a daily basis 4493 87.81%
Other 148 2.89%
Yes, I do have a job that heavily makes me interact with children on a daily basis 291 5.69%

4. Discussion

Child Status

This section solely existed to sift the childfree from the fencesitters and the non childfree in order to get answers only from the childfree. Childfree, as it is defined in the subreddit, is "I do not have children nor want to have them in any capacity (biological, adopted, fostered, step- or other) at any point in the future." 70.29% of participants actually identify as childfree, slightly up from the 2019 survey, where 68.5% of participants identified as childfree. This is suprising in reflection of the overall reputation of the subreddit across reddit, where the subreddit is often described as an "echo chamber".

General Demographics

The demographics remain largely consistent with the 2019 survey. However, the 2019 survey collected demographic responses from all participants in the survey, removing those who did not identify as childfree when querying subreddit specific questions, while the 2020 survey only collected responses from people who identified as childfree. This must be considered when comparing results.
82.25% of the participants are under 35, compared with 85% of the subreddit in the 2019 survey. A slight downward trend is noted compared over the last two years suggesting the userbase may be getting older on average. 73.04% of the subreddit identify as female, compared with 71.54% in the 2019 survey. Again, when compared with the 2019 survey, this suggests a slight increase in the number of members who identify as female. This is in contrast to the overall membership of Reddit, estimated at 74% male according to Reddit's Wikipedia page [https://en.wikipedia.org/wiki/Reddit#Users_and_moderators]. The ratio of members who identify as heterosexual remained consistent, from 54.89% in the 2019 survey to 55.20% in the 2020 survey.
Ethnicity wise, 77% of members identified as primarily Caucasian, consistent with the 2019 results. While the ethnicities noted to be missing in the 2019 survey have been included in the 2020 survey, some users noted the difficulty of responding when fitting multiple ethnicities, and this will be addressed in the 2021 survey.

Education level

As it did in the 2019 survey, this section highlights the stereotype of childfree people as being well educated. 2.64% of participants did not complete high school, which is a slight decrease from the 2019 survey, where 4% of participants did not graduate high school. However, 6.02% of participants are under 18, compared with 8.22% in the 2019 survey. 55% of participants have a bachelors degree or higher, while an additional 23% have completed "some college or university".
At the 2020 survey, the highest percentage of responses under the: What is your degree/major? question fell under "I don't have a degree or a major" (20.12%). Arts and Humanities, and Computer Science have overtaken Health Sciences and Engineering as the two most popular majors. However, the list of majors was pared down to general fields of study rather than highly specific degree majors to account for the significant diversity in majors studied by the childfree community, which may account for the different results.

Career and Finances

The highest percentage of participants at 21.61% listed themselves as trained professionals.
One of the stereotypes of the childfree is of wealth. However this is not demonstrated in the survey results. 70.95% of participants earn under $60,000 USD per annum, while 87.85% earn under $90,000 per annum. 21.37% are earning under $15,000 per annum. 1065 participants, or 21.10% chose not to disclose this information. It is possible that this may have skewed the results if a significant proportion of these people were our high income earners, but impossible to explore.
A majority of our participants work between 30 and 50 hours per week (75.65%) which is slightly increased from the 2019 survey, where 71.2% of participants worked between 30 and 50 hours per week.

Location

The location responses are largely similar to the 2019 survey with a majority of participants living in a suburban and urban area. 86.24% of participants in the 2020 survey live in urban and suburban regions, with 86.7% of participants living in urban and suburban regions in the 2019 survey. There is likely a multifactorial reason for this, encompassing the younger, educated skew of participants and the easier access to universities and employment, and the fact that a majority of the population worldwide localises to urban centres. There may be an element of increased progressive social viewpoints and identities in urban regions, however this would need to be explored further from a sociological perspective to draw any definitive conclusions.
A majority of our participants (57.47%) were born in the USA. The United Kingdom (7.6%), Canada (7.17%), Australia (3.58%) and Germany (2.17%) encompass the next 4 most popular responses. This is largely consistent with the responses in the 2019 survey.

Religion and Spirituality

For the 2020 survey Christianity (the most popular result in 2019) was split into it's major denominations, Catholic, Protestant, Anglican, among others. This appears to be a linguistic/location difference that caused a lot of confusion among some participants. However, Catholicism at 30.76% remained the most popular choice for the religion participants were raised in. However, of our participant's current faith, Aetheism at 36.23% was the most popular choice. A majority of 78.02% listed their current religion as Aetheist, no religious or spiritual beliefs, or Agnostic.
A majority of participants (61%) rated religion as "not at all influential" to the childfree choice. This is consistent with the 2019 survey where 62.8% rated religion as "not at all influential". Despite the high percentage of participants who identify as aetheist or agnostic, this does not appear to be related to or have an impact on the childfree choice.

Romantic and Sexual Life

60.19% of our participants are in a relationship at the time of the survey. This is consistent with the 2019 survey, where 60.7% of our participants were in a relationship. A notable proportion of our participants are listed as single and not looking (25.81%) which is consistent with the 2019 survey. Considering the frequent posts seeking dating advice as a childfree person, it is surprising that such a high proportion of the participants are not actively seeking out a relationship. Unsurprisingly 90.13% of our participants would not consider dating someone with children. 84% of participants with partners of some kind have at least one childfree partner. This is consistent with the often irreconcilable element of one party desiring children and the other wishing to abstain from having children.

Childhood and Family Life

Overall, the participants skew towards a happier childhood.

Sterilisation

While just under half of our participants wish to be sterilised, 45.21%, only 12.2% have been successful in achieving sterilisation. This is likely due to overarching resistance from the medical profession however other factors such as the logistical elements of surgery and the cost may also contribute. There is a slight increase from the percentage of participants sterilised in the 2019 survey (11.7%). 29.33% of participants do not wish to be or need to be sterilised suggesting a partial element of satisfaction from temporary birth control methods or non-necessity of contraception due to their current lifestyle practices. Participants who indicated that they do not wish to be sterilised or haven't achieved sterilisation were excluded from the percentages where necessary in this section.
Of the participants who did achieve sterilisation, a majority began the search between 19 and 29, with the highest proportion being in the 19-24 age group (35.85%) This is a marked increase from the 2019 survey where 27.3% of people who started the search were between 19-24. This may be due to increased education about permanent contraception or possibly due to an increase in instability around world events.
The majority of participants who sought out and were successful at achieving sterilisation, were however in the 25-29 age group (37.9%). This is consistent with the 2019 survey results.
The time taken between seeking out sterilisation and achieving it continues to increase, with only 50.46% of participants achieving sterilisation in under 3 months. This is a decline from the number of participants who achieved sterilisation in 3 months in the 2019 survey (58.5%). A potential cause of this decrease is to Covid-19 shutdowns in the medical industry leading to an increase in procedure wait times. The proportion of participants who have had one or more doctors refuse to perform the procedure has stayed consistent between the two surveys.

Childfreedom

The main reasons for people choosing the childfree lifestyle are a lack of interest towards parenthood and an aversion towards children which is consistent with the 2019 survey. Of the people surveyed 67.06% are pet owners or involved in a pet's care, suggesting that this lack of interest towards parenthood does not necessarily mean a lack of interest in all forms of caretaking. The community skews towards a dislike of children overall which correlates well with the 87.81% of users choosing "no, I do not have, did not use to have and will not have a job that makes me heavily interact with children on a daily basis" in answer to, "do you have a job that heavily makes you interact with children on a daily basis?". This is an increase from the 2019 survey.
A vast majority of the subreddit identifes as pro-choice (95.5%), a slight increase from the 2019 results. This is likely due to a high level of concern about bodily autonomy and forced birth/parenthood. However only 55.93% support financial abortion, aka for the non-pregnant person in a relationship to sever all financial and parental ties with a child. This is a marked decrease from the 2019 results, where 70% of participants supported financial abortion.
Most of our users realised that did not want children young. 58.72% of participants knew they did not want children by the age of 18, with 95.37% of users realising this by age 30. This correlates well with the age distribution of participants. Despite this early realisation of our childfree stance, 80.59% of participants have been "bingoed" at some stage in their lives.

The Subreddit

Participants who identify as childfree were asked about their interaction with and preferences with regards to the subreddit at large. Participants who do not meet our definition of being childfree were excluded from these questions.
By and large our participants were lurkers (72.32%). Our participants were divided on their favourite flairs with 38.92% selecting "I have no favourite". The next most favourite flair was "Rant", at 16.35%. Our participants were similarly divided on their least favourite flair, with 63.40% selecting "I have no least favourite". In light of these results the flairs on offer will remain as they have been through 2019.
With regards to "lecturing" posts, this is defined as a post which seeks to re-educate the childfree on the practices, attitudes and values of the community, particularly with regards to attitudes towards parenting and children, whether at home or in the community. A commonly used descriptor is "tone policing". A small minority of the survey participants (3.36%) selected "yes" to allowing all lectures, however 33.54% responded "yes" to allowing polite, respectful lectures only. In addition, 45.10% of participants indicated that they were not sure if lectures should be allowed. Due to the ambiguity of responses, lectures will continue to be not allowed and removed.
Many of our participants (36.87%) support the use of terms such as breeder, mombie/moo, daddict/duh on the subreddit, with a further 32.63% supporting use of these terms in context of bad parents only. This is a slight drop from the 2019 survey. In response to this use of the above and similar terms to describe parents remains permitted on this subreddit. However, we encourage users to keep the use of these terms to bad parents only.
44.33% of users support the use of terms to describe children such as crotchfruit on the subreddit, a drop from 55.3% last year. A further 25.80% of users supporting the use of this and similar terms in context of bad children only, an increase from 17.42% last year. In response to this use of the above and similar terms to describe children remains permitted on this subreddit.
69.17% of participants answered yes to allowing parents to post, provided they stay respectful. In response to this, parent posts will continue to be allowed on the subreddit. As for regret posts, which were to be revisited in this year's survey, only 9.5% of participants regarded them as their least favourite post. As such they will continue to stay allowed.
64% of participants support under 18's who are childfree participating in the subreddit with a further 19.59% allowing under 18's to post dependent on context. Therefore we will continue to allow under 18's that stay within the overall Reddit age requirement.
There was divide among participants as to whether "newbie" questions should be removed. An even spread was noted among participants who selected remove and those who selected to leave them as is. We have therefore decided to leave them as is. 73.80% of users selected "yes, in their own post, with their own "Leisure" flair" to the question, "Should posts about pets, travel, jetskis, etc be allowed on the sub?" Therefore we will continue to allow these posts provided they are appropriately flaired.

5. Conclusion

Thank you to our participants who contributed to the survey. This has been an unusual and difficult year for many people. Stay safe, and stay childfree.

submitted by Mellenoire to childfree [link] [comments]

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