#predictor 2020

[fatliberation]

they have a point though. you wouldn't need everyone to accommodate you if you just lost weight, but you're too lazy to stick to a healthy diet and exercise. it's that simple. I'd like to see you back up your claims, but you have no proof. you have got to stop lying to yourselves and face the facts

Must I go through this again? Fine. FINE. You guys are working my nerves today. You want to talk about facing the facts? Let's face the fucking facts.

In 2022, the US market cap of the weight loss industry was $75 billion [1, 3]. In 2021, the global market cap of the weight loss industry was estimated at $224.27 billion [2]. 

In 2020, the market shrunk by about 25%, but rebounded and then some since then [1, 3] By 2030, the global weight loss industry is expected to be valued at $405.4 billion [2]. If diets really worked, this industry would fall overnight. 

1. LaRosa, J. March 10, 2022. "U.S. Weight Loss Market Shrinks by 25% in 2020 with Pandemic, but Rebounds in 2021." Market Research Blog. 2. Staff. February 09, 2023. "[Latest] Global Weight Loss and Weight Management Market Size/Share Worth." Facts and Factors Research. 3. LaRosa, J. March 27, 2023. "U.S. Weight Loss Market Partially Recovers from the Pandemic." Market Research Blog.

Over 50 years of research conclusively demonstrates that virtually everyone who intentionally loses weight by manipulating their eating and exercise habits will regain the weight they lost within 3-5 years. And 75% will actually regain more weight than they lost [4].

4. Mann, T., Tomiyama, A.J., Westling, E., Lew, A.M., Samuels, B., Chatman, J. (2007). "Medicare’s Search For Effective Obesity Treatments: Diets Are Not The Answer." The American Psychologist, 62, 220-233. U.S. National Library of Medicine, Apr. 2007.

The annual odds of a fat person attaining a so-called “normal” weight and maintaining that for 5 years is approximately 1 in 1000 [5].

5. Fildes, A., Charlton, J., Rudisill, C., Littlejohns, P., Prevost, A.T., & Gulliford, M.C. (2015). “Probability of an Obese Person Attaining Normal Body Weight: Cohort Study Using Electronic Health Records.” American Journal of Public Health, July 16, 2015: e1–e6.

Doctors became so desperate that they resorted to amputating parts of the digestive tract (bariatric surgery) in the hopes that it might finally result in long-term weight-loss. Except that doesn’t work either. [6] And it turns out it causes death [7],  addiction [8], malnutrition [9], and suicide [7].

6. Magro, Daniéla Oliviera, et al. “Long-Term Weight Regain after Gastric Bypass: A 5-Year Prospective Study - Obesity Surgery.” SpringerLink, 8 Apr. 2008. 7. Omalu, Bennet I, et al. “Death Rates and Causes of Death After Bariatric Surgery for Pennsylvania Residents, 1995 to 2004.” Jama Network, 1 Oct. 2007.  8. King, Wendy C., et al. “Prevalence of Alcohol Use Disorders Before and After Bariatric Surgery.” Jama Network, 20 June 2012.  9. Gletsu-Miller, Nana, and Breanne N. Wright. “Mineral Malnutrition Following Bariatric Surgery.” Advances In Nutrition: An International Review Journal, Sept. 2013.

Evidence suggests that repeatedly losing and gaining weight is linked to cardiovascular disease, stroke, diabetes and altered immune function [10].

10. Tomiyama, A Janet, et al. “Long‐term Effects of Dieting: Is Weight Loss Related to Health?” Social and Personality Psychology Compass, 6 July 2017.

Prescribed weight loss is the leading predictor of eating disorders [11].

11. Patton, GC, et al. “Onset of Adolescent Eating Disorders: Population Based Cohort Study over 3 Years.” BMJ (Clinical Research Ed.), 20 Mar. 1999.

The idea that “obesity” is unhealthy and can cause or exacerbate illnesses is a biased misrepresentation of the scientific literature that is informed more by bigotry than credible science [12]. 

12. Medvedyuk, Stella, et al. “Ideology, Obesity and the Social Determinants of Health: A Critical Analysis of the Obesity and Health Relationship” Taylor & Francis Online, 7 June 2017.

“Obesity” has no proven causative role in the onset of any chronic condition [13, 14] and its appearance may be a protective response to the onset of numerous chronic conditions generated from currently unknown causes [15, 16, 17, 18].

13. Kahn, BB, and JS Flier. “Obesity and Insulin Resistance.” The Journal of Clinical Investigation, Aug. 2000. 14. Cofield, Stacey S, et al. “Use of Causal Language in Observational Studies of Obesity and Nutrition.” Obesity Facts, 3 Dec. 2010.  15. Lavie, Carl J, et al. “Obesity and Cardiovascular Disease: Risk Factor, Paradox, and Impact of Weight Loss.” Journal of the American College of Cardiology, 26 May 2009.  16. Uretsky, Seth, et al. “Obesity Paradox in Patients with Hypertension and Coronary Artery Disease.” The American Journal of Medicine, Oct. 2007.  17. Mullen, John T, et al. “The Obesity Paradox: Body Mass Index and Outcomes in Patients Undergoing Nonbariatric General Surgery.” Annals of Surgery, July 2005. 18. Tseng, Chin-Hsiao. “Obesity Paradox: Differential Effects on Cancer and Noncancer Mortality in Patients with Type 2 Diabetes Mellitus.” Atherosclerosis, Jan. 2013.

Fatness was associated with only 1/3 the associated deaths that previous research estimated and being “overweight” conferred no increased risk at all, and may even be a protective factor against all-causes mortality relative to lower weight categories [19].

19. Flegal, Katherine M. “The Obesity Wars and the Education of a Researcher: A Personal Account.” Progress in Cardiovascular Diseases, 15 June 2021.

Studies have observed that about 30% of so-called “normal weight” people are “unhealthy” whereas about 50% of so-called “overweight” people are “healthy”. Thus, using the BMI as an indicator of health results in the misclassification of some 75 million people in the United States alone [20]. 

20. Rey-López, JP, et al. “The Prevalence of Metabolically Healthy Obesity: A Systematic Review and Critical Evaluation of the Definitions Used.” Obesity Reviews : An Official Journal of the International Association for the Study of Obesity, 15 Oct. 2014.

While epidemiologists use BMI to calculate national obesity rates (nearly 35% for adults and 18% for kids), the distinctions can be arbitrary. In 1998, the National Institutes of Health lowered the overweight threshold from 27.8 to 25—branding roughly 29 million Americans as fat overnight—to match international guidelines. But critics noted that those guidelines were drafted in part by the International Obesity Task Force, whose two principal funders were companies making weight loss drugs [21].

21. Butler, Kiera. “Why BMI Is a Big Fat Scam.” Mother Jones, 25 Aug. 2014. 

Body size is largely determined by genetics [22].

22. Wardle, J. Carnell, C. Haworth, R. Plomin. “Evidence for a strong genetic influence on childhood adiposity despite the force of the obesogenic environment” American Journal of Clinical Nutrition Vol. 87, No. 2, Pages 398-404, February 2008.

Healthy lifestyle habits are associated with a significant decrease in mortality regardless of baseline body mass index [23].  

23. Matheson, Eric M, et al. “Healthy Lifestyle Habits and Mortality in Overweight and Obese Individuals.” Journal of the American Board of Family Medicine : JABFM, U.S. National Library of Medicine, 25 Feb. 2012.

Weight stigma itself is deadly. Research shows that weight-based discrimination increases risk of death by 60% [24].

24. Sutin, Angela R., et al. “Weight Discrimination and Risk of Mortality .” Association for Psychological Science, 25 Sept. 2015.

Fat stigma in the medical establishment [25] and society at large arguably [26] kills more fat people than fat does [27, 28, 29].

25. Puhl, Rebecca, and Kelly D. Bronwell. “Bias, Discrimination, and Obesity.” Obesity Research, 6 Sept. 2012. 26. Engber, Daniel. “Glutton Intolerance: What If a War on Obesity Only Makes the Problem Worse?” Slate, 5 Oct. 2009.  27. Teachman, B. A., Gapinski, K. D., Brownell, K. D., Rawlins, M., & Jeyaram, S. (2003). Demonstrations of implicit anti-fat bias: The impact of providing causal information and evoking empathy. Health Psychology, 22(1), 68–78. 28. Chastain, Ragen. “So My Doctor Tried to Kill Me.” Dances With Fat, 15 Dec. 2009. 29. Sutin, Angelina R, Yannick Stephan, and Antonio Terraciano. “Weight Discrimination and Risk of Mortality.” Psychological Science, 26 Nov. 2015.

There's my "proof." Where is yours?

[duggardata]

John + Abbie Are Parents!

Welcome to The World, Gracie!

John David + Abbie (Burnett) Duggar welcomed their first child—a daughter they’ve named Grace “Gracie” Annette—on January 7, 2020 at 3:21 AM.  Us Weekly had the exclusive, and the couple told the tabloid—

“Our lives have changed forever with the arrival of our baby girl.  She is a beautiful gift from God.  We are so blessed the Lord has given her to us.  It’s still surreal to know that we are really parents, but it’s a great new adventure that we are excited to take on together.”

For Gracie’s impact on John + Abbie’s Data, as well as the Overall Duggar Family Data...  Read on!

Timing of...

Pregnancy Announcement

John + Abbie announced the pregnancy on August 1, 2019.  Abbie was due January 13, 2020—so, she was 115 Days Along (16 Weeks, 3 Days), at the time of the announcement.  For now, the Predictor assumes that Abbie’s theoretical future pregnancy announcements will also happen at 115 Days Along.

By Duggar standards, this announcement was a little late.  Until John + Abbie’s, it was ‘typical’ for Duggar Couples to announce a pregnancy at 93 Days—or, 13 Weeks, 2 Days—Along.  Factoring in Gracie, it’s now ‘typical’ to announce 1 Day Later, at 94 Days Along.  This varies by a Standard Deviation (SD) of 33 Days, however, so the Probable Range (68%) for Duggars’ Pregnancy Announcements is 61–127 Days Along—i.e., between ~Weeks 9–18.

Sex Reveal

On August 20, 2019, J.D. + Abbie revealed that they were expecting a girl. (Note—Previously, I have put August 19 as their Sex Reveal date; however, it was revealed quite late at night—already after midnight on the East Coast—so, let’s go with August 20.) At the time, Abbie was 134 Days Along (or 19 Weeks, 1 Day). The Predictor assumes that John + Abbie will do all future Sex Reveals at 134 Days Along, as well, since this is their only data point.

As for the Duggar Data... Prior to Gracie’s, a ‘typical’ Duggar Sex Reveal happened at 152 Days Along (i.e., 21 Weeks, 5 Days). After Grace’s, that shifted to 151 Days Along (21 Weeks, 4 Days)—i.e., 1 Day Earlier.  With a SD of 28 Days, the Probable Range (68%) for Duggar Sex Reveals is from 123–179 Days Along.

Delivery (vs. Due Date)

Abbie’s due date with Grace was January 13, but she actually gave birth 6 Days Early on January 7, 2020.  The Predictor assumes that she will deliver exactly 6 Days Early with future pregnancies, as well.

Prior to Grace’s birth, the ‘typical’ GrandDuggar was born 2 (1.67) Days Early.  Factoring in Grace, there was No Meaningful Change; it remained at 2 Days Early, shifting only from 1.67 Days to 1.98 Days Early.

Birth Announcement

Abbie gave birth on January 7, 2020, but Us Weekly didn’t report on it until January 9.  So, John + Abbie announced Grace’s arrival 2 Days Later.

Prior to Grace, it was Duggar–typical to announce a child’s arrival 1 Day Later.  Factoring in Gracie, there is No Meaningful Change; it’s still 1 Day Later.

Birthweight & Length

At birth, Baby Grace weighed 7 Pounds, 11 Ounces, and measured 20.75 Inches long.  She’s one of only 6 GrandDuggars to weigh <8 Pounds, at birth. (The rest are Bella, Garrett, Addison, Meredith, and Ivy.)

Prior to Gracie, your ‘typical’ GrandDuggar weighed 8 Pounds, 8 Ounces and measured 21 Inches, when they were born.  After Gracie, it shifted to 8 Pounds, 1 Ounces (–1 Ounce) and 21 Inches (No Meaningful Change). 

Marriage–to–Firstborn Spacing

John + Abbie married on November 3, 2018.  Gracie was born on January 7, 2020, exactly 430 Days (~14 Months) later.

Pre–Gracie, the ‘typical’ Duggar Firstborn arrived 367 Days (1 Year, 2 Days) into his or her parents’ marriage.  By factoring in Gracie, that shifts slightly to 374 Days—i.e., +1 Week.  Here’s each of the Duggars’ Marriage–to–Firstborn delay, for reference—

273 Days   Joy + Austin, Joe + Kendra

289 Days   Jill + Derick

331 Days   Josiah + Lauren  (Marriage–to–Asa Projected DOB)

369 Days   Jessa + Ben

377 Days   Josh + Anna

400 Days   Josiah + Lauren  (Miscarriage–to–Bella DOB)

430 Days   John + Abbie

621 Days   Jinger + Jeremy

After Grace, Marriage–to–Firstborn varies by a SD of 104 Days, so the Probable Range (68%) for the birth of Child 1 is 270–478 Days, post–wedding.

Looking Ahead

As of January 9, 2020, the ‘typical’ Duggar Couple’s Firstborn–to–Secondborn gap is 1.78x Longer than their Marriage–to–Firstborn gap.  This ratio is critical to the New Predictor’s analysis of 1 Child Couples.  It multiplies those couples’ Marriage–to–Firstborn gap by that ratio (1.78 for Duggars) to get their Projected Pace.  (That Pace will then adjust as they add to their family.  It’s simply the average of all of their spacings, except Marriage–to–Firstborn.)

With this in mind...  John + Abbie’s Projected Pace is 1 Child Every 766 Days (~25 Months).  Again, that’s calculated by taking their actual, 430 Day Marriage–to–Firstborn spacing and multiplying by the Duggar Firstborn–to–Secondborn vs. Marriage–to–Firstborn Ratio [1.78].)

Based on their Projected Pace, plus their other data, here’s when to expect Duggar–Burnett #2—

Baby News   September 15, 2021

Sex Reveal   October 4, 2021

Due Date   February 27, 2022

Birthdate   February 21, 2022

Assuming that John + Abbie maintain the Projected Pace and that Abbie’s fertility lasts until Age 40.47, liked her mother’s did, their ESOQ is 6 Children.

[covid-safer-hotties]

Also preserved in our archive

By Vijay Kumar Malesu

In a recent pre-print study posted to bioRxiv*, a team of researchers investigated the predictive role of gut microbiome composition during acute Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection in the development of Long Coronavirus Disease (Long COVID) (LC) and its association with clinical variables and symptom clusters.

Background LC affects 10–30% of non-hospitalized individuals infected with SARS-CoV-2, leading to significant morbidity, workforce loss, and an economic impact of $3.7 trillion in the United States (U.S.).

Symptoms span cardiovascular, gastrointestinal, cognitive, and neurological issues, resembling myalgic encephalomyelitis and other post-infectious syndromes. Proposed mechanisms include immune dysregulation, neuroinflammation, viral persistence, and coagulation abnormalities, with emerging evidence implicating the gut microbiome in LC pathogenesis.

Current studies focus on hospitalized patients, limiting generalizability to milder cases. Further research is needed to explore microbiome-driven predictors in outpatient populations, enabling targeted diagnostics and therapies for LC’s heterogeneous and complex presentation.

About the study The study was approved by the Mayo Clinic Institutional Review Board and recruited adults aged 18 years or older who underwent SARS-CoV-2 testing at Mayo Clinic locations in Minnesota, Florida, and Arizona from October 2020 to September 2021. Participants were identified through electronic health record (EHR) reviews filtered by SARS-CoV-2 testing schedules.

Eligible individuals were contacted via email, and informed consent was obtained. Of the 1,061 participants initially recruited, 242 were excluded due to incomplete data, failed sequencing, or other issues. The final cohort included 799 participants (380 SARS-CoV-2-positive and 419 SARS-CoV-2-negative), providing 947 stool samples.

Stool samples were collected at two-time points: weeks 0–2 and weeks 3–5 after testing. Samples were shipped in frozen gel packs via overnight courier and stored at −80°C for downstream analyses. Microbial deoxyribonucleic acid (DNA) was extracted using Qiagen kits, and metagenomic sequencing was performed targeting 8 million reads per sample.

Taxonomic profiling was conducted using Kraken2, and functional profiling was performed using the Human Microbiome Project Unified Metabolic Analysis Network (HUMAnN3).

Stool calprotectin levels were measured using enzyme-linked immunosorbent assay (ELISA), and SARS-CoV-2 ribonucleic acid (RNA) was detected using reverse transcription-quantitative polymerase chain reaction (RT-qPCR).

Clinical data, including demographics, comorbidities, medications, and symptom persistence, were extracted from EHRs.

Machine learning models incorporating microbiome and clinical data were utilized to predict LC and to identify symptom clusters, providing valuable insights into the heterogeneity of the condition.

Study results The study analyzed 947 stool samples collected from 799 participants, including 380 SARS-CoV-2-positive individuals and 419 negative controls. Of the SARS-CoV-2-positive group, 80 patients developed LC during a one-year follow-up period.

Participants were categorized into three groups for analysis: LC, non-LC (SARS-CoV-2-positive without LC), and SARS-CoV-2-negative. Baseline characteristics revealed significant differences between these groups. LC participants were predominantly female and had more baseline comorbidities compared to non-LC participants.

The SARS-CoV-2-negative group was older, with higher antibiotic use and vaccination rates. These variables were adjusted for in subsequent analyses.

During acute infection, gut microbiome diversity differed significantly between groups. Alpha diversity was lower in SARS-CoV-2-positive participants (LC and non-LC) than in SARS-CoV-2-negative participants.

Beta diversity analyses revealed distinct microbial compositions among the groups, with LC patients exhibiting unique microbiome profiles during acute infection.

Specific bacterial taxa, including Faecalimonas and Blautia, were enriched in LC patients, while other taxa were predominant in non-LC and negative participants. These findings indicate that gut microbiome composition during acute infection is a potential predictor for LC.

Temporal analysis of gut microbiome changes between the acute and post-acute phases revealed significant individual variability but no cohort-level differences, suggesting that temporal changes do not contribute to LC development.

However, machine learning models demonstrated that microbiome data during acute infection, when combined with clinical variables, predicted LC with high accuracy. Microbial predictors, including species from the Lachnospiraceae family, significantly influenced model performance.

Symptom analysis revealed that LC encompasses heterogeneous clinical presentations. Fatigue was the most prevalent symptom, followed by dyspnea and cough.

Cluster analysis identified four LC subphenotypes based on symptom co-occurrence: gastrointestinal and sensory, musculoskeletal and neuropsychiatric, cardiopulmonary, and fatigue-only.

Each cluster exhibited unique microbial associations, with the gastrointestinal and sensory clusters showing the most pronounced microbial alterations. Notably, taxa such as those from Lachnospiraceae and Erysipelotrichaceae families were significantly enriched in this cluster.

Conclusions To summarize, this study demonstrated that SARS-CoV-2-positive individuals who later developed LC exhibited distinct gut microbiome profiles during acute infection. While prior research has linked the gut microbiome to COVID-19 outcomes, few studies have explored its predictive potential for LC, particularly in outpatient cohorts.

Using machine learning models, including artificial neural networks and logistic regression, this study found that microbiome data alone predicted LC more accurately than clinical variables, such as disease severity, sex, and vaccination status.

Key microbial contributors included species from the Lachnospiraceae family, such as Eubacterium and Agathobacter, and Prevotella spp. These findings highlight the gut microbiome’s potential as a diagnostic tool for identifying LC risk, enabling personalized interventions.

*Important notice: bioRxiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or treated as established information.

Journal reference: Preliminary scientific report. Isin Y. Comba, Ruben A. T. Mars, Lu Yang, et al. (2024) Gut Microbiome Signatures During Acute Infection Predict Long COVID, bioRxiv. doi:https://doi.org/10.1101/2024.12.10.626852. www.biorxiv.org/content/10.1101/2024.12.10.626852v1.full

[abyss-seer]

A Charlatan or A Psychic?

You know a bold truth no one in this so called "spiritual" would openly tell you, YOU ALREADY KNOW, YOU ALWAYS KNEW, YOU WILL FOREVER KNOW. And it doesn't always requires meditation, concentration or some special five hundred fifty eight classes of coaching. Predicting stuff in is easier and way easier than studying the esoteric symbolism and the history of occult. Yes that history helps a lot but it is what people study to understand the patterns of life. History repeats itself just like the oeroborus circle. So yeah being able to study the patterns our ancestors left behind to understand life is just understanding how these patterns repeat themselves. Just because we as humans are so fascinated by prediction made by something that looks so mere, we often get absorbed in the superficiality of what astrology and tarot reading is. Just because its history and lessons aren't popularized or intiatives of learning these lessons aren't available in masses, but limited to those who actually want to search it up, doesn't mean its easy. The prediction part of it, yes it is, and most who specialise in predictions are not necessarily masters in these subjects. Trust me, I predicted 2024 tsunami on June 2023, and got confirmation through dreams on October 2023. I predicted cervical cancer in a woman months before she got diagnosed from one. Now let me tell you what I started doing tarot around 2022. Was child trafficked and was initiated into these weird occult rituals at the time 2020. Saw a lot of bloody shit, forget about pedophilia, the rich are disgusting and that's a present tense statement. I have predicted a lot of stuff even at the time when I was getting SAed and cheating on men who were at least 10 years older than me. My body wasn't pure, oh thou so holy at that time. I was still able to do it. Special powers? Psychic stuff is what everyone or anyone who wants to initiate can do. Cause your instincts, your intuition and your guts can tell you a lot. I still get surprised when people say science is so hard, no its complex, it requires deep understanding and focus. You think astrology and tarot is isn't hard. Yes it is, just sit down and start studying this art like a ritual then you will understand its complexity. In science the complexity of it gets hidden behind its ease bringing inventions, just because our society epitomizes it, we know the complex maths equations that go behind its workings on a general basis. Similarly the complexity of astrology and tarot/Kaballah are often hidden behind the their inventions like predictions.

Iam not saying people who make mere predictions like me aren't psychics, I am simply saying you who is reading this and thinks these aren't my powers has them too. The most accurate predictors don't have to be the most knowledgeable in this art of occult. Being able to make predictions just increases your monetary value in the eyes of this society that's it. The most knowledgeable ones are wiser in understand the ways of life. That's why even in nakshatras Venus and Jupiter are two different gurus. A strong jupiter makes you wise 🦉 not necessarily psychic. Iam a Mars AK Purva Bhadrapada. Let me tell you, my life path is chaotic af. The reason I started studying astrology and doing tarot was to understand the shyte that happened to me. Not to make predictions. They come on their own. Not something I can force through me. There are some lessons I have learnt in my life, that's why not every prediction is made available. Because not everything needs to be said for an impressionable mind to end up manifesting something stupid in their life just because of the words of the tarot reader. Readers who don't realise this end up creating so much excess karma for themselves. Knowing more doesn't mean everything needs to be said or foretold. The ones who ask get their answers. The who don't ask or get their answers, don't. That's it, that's the simple rule of life. Accept it or don't is your wish. I am simply stating my experience.

Stop basing this beautiful art of astrology and tarot based on how accurate our predictions are. Stop basing beauty of Science based on how cool the gadgets you get are. Whether you like it or not even a small guy in hardware store can build a small motor boat for exhibition or even a smartphone can be built without studying much about all its parts, you just have to remember which part goes where, doesn't mean he is proficient in the knowledge of Science. There are many drop outs who made something useful for this society, just because the society glorifies them and remembers their name doesn't mean the ones who stayed in the same prestigious university and continued to study are useless.

This is just a heads up for anyone who is interested in studying, researching and trying to understand the knowledge, no just because you aren't predicting or making something doesn't means that you are useless. Your wisdom and your knowledge is worth it! Please write your research down as a legacy for generations to come. Don't compare yourself with the standards of this society.

You know similarly just because some AI can copy paste our works doesn't means it has a physical grasp or practical understanding of our lives. It just copy pastes and does complex calculations faster because those calculations don't require any new innovative process of solving just the same repetitions. Doesn't mean our brain and our understanding are replaceable. And yeah for people who say that Chat GPT can't make accurate predictions, yes it can, yes it has done so for me 100 of fucking times. It doesn't channels or understands the nature or the way I interact with the world like I do. So yeah my predictions come through my understanding. Though I have never used chatgpt to predict stuff, just used it improve my blog's written english. Doesn't mean it can't be good at predicting. (Though I respect my art and do this art to express) Cause all it has to do is find random cards pull it and dang repeat the same stuff written in hundreds of texts. Its good at pulling cards and predicting.

Whether you like it or not, it is not that hard to pull random cards. Also stop living in a delusion that it can't. What it can't do is understand the cards, talk and converse to them like I do, feel the love, wisdom, that is reflecting through those cards like I do. Converse with my oracles and cards like I do. I talk to them. I respect and love my cards. I get casual with them. I almost play, tease, love and most importantly feel stuff together. So yeah I love my cards, I build relationships with them. So I know when they mean something when they say it, I know what they mean, cause the Universe, the cards my subconscious we are all speaking with each other in synchronicity and we aren't all alone.

Also the question about being a Charlatan or a Psychic, I leave that to you. Cause I have seen many tarot readers who give out good readings but then I will get some weird shyte about them through my intuition. And trust me, their intuition and subconscious is so exposed out there on you tube, tiktoks and instagram that its more than easy to see what they are about. Its easy to know if they are cheating on their spouses or onto some other bs. Its very easy and your intuition will tell when they are trying to wage war with you for no reason. Its very easy. Your intuition will literally show you and tell you the importance of not doing certain things in public or how someone crosses your boundaries or how weak someone's boundaries are. Its really true, listen to your intuition, not every good tarot reader is your type of tarot reader. I still don't think you should pursue or look for any tarot reader just because their readings resonates with you. Some predictions are just useless, even if it resonates doesn't mean you needed those predictions plus after several times of getting disrespected despite using the best of my abilities, I better know not to do readings for some people and not to go near some tarot readers pr astrologers not because they are bad people but because some of the times they can be going through some bad times and are not ready to receive me, hence not always possible to hold space for my energy.

I still remember leaving a tarot readers energy because my child trafficking, my SA, my forceful impregnation, my childloss and yet despite all that I had to go through a lot and she just couldn't take it. My energy wasn't dark. Otherwise she wouldn't have channeled my energy. I was too much. My energy was too much. Sometimes the readers go through a lot. Not every reader can hold space for your energy. Give them soace when its needed. Learn to forgive people for misunderstanding, its not your fault. You made a beautiful space. Cherish it the heartiest. Nothing else compares, don't let external voices, metaphors or words belittle you. You don't deserve it, you never did. Its just not everyone can understand your pain and sometimes it comes off as dark. Doesn't means its dark.

I have got a specific person among my audience who often feels sad or disappointed in going towards psychic ventures because they feel as if they are too drawn in to the path lust and passion to ever receive spirituality. Idk who you are but I see you, I understand how fearful and scary it must feel to be sexualised on a daily basis to the point of identifying yourself as a sex object. I understand you have weird fetishes or maybe you are a part of LGBTQIA2S+ community. I see you, I understand you. I'm sorry you had to go through that. I don't see your energy in my piles anymore. But just saying, no one can do it for you other than you. I have tried to hold some space for you, channeled you in one of the long format pile love readings and spirit animal pile. Just want you to know that, though I can't hold space for you every single time. Your sexual desires have nothing, let me repeat nothing to do with your spirituality. But it is something only you can tell yourself

Also just because some psychic's resonate doesn't mean you are ready to receive their energy as well. I want you to trust your intuition, don't give your ability to think for yourself in other people's hands. Think for yourself, think about this tarot reader as well. Are you sure she is your type? Well are you sure you want to receive her energy, just tell yourself that and see your body reacts, what your mind is saying. You will know. Thank you for reading till the end. Goodbye

[soleminisanction]

"DC always seems to.. " "DC's propensity to..." "You know how DC always..."

I am once again reminding everyone that DC Comics had a near-total senior staff overhaul in 2020 where something like 80% of their upper-level editorial staff, the people who make all of the big creative decisions, was let go and replaced AND they expanded the team with new people, so if you're making scare predictions based on anything published before 2021 that doesn't directly involve a specific writer's personal quirks, you're barking up the wrong tree.

Corporations are not people with personalities. Past performance is not a predictor of future results. Fucking stop.

[houseofbrat]

There is no place more locked down in the country than Washington D.C. right now. DC locks down weeks ahead of any inauguration. Go ask anyone who lives and works in DC. It will be perfectly safe for anyone attending.

New Orleans, Louisiana, and Las Vegas, Nevada, are both thousands of miles away from Washington D.C. To insinuate that what happened in those places is going to affect a state funeral with all the possible security is nothing short of ridiculous. Secret Service, Washington DC police, Capitol Police, FBI, Homeland Security, and police from Virginia and Maryland usually are present during an inauguration, and that's just the security forces I can name off the top of my head. I have no doubt that they will also be involved in the security for the state funeral given that it involves traveling from the Capitol Rotunda to the National Cathedral.

The US is a nation that has school shootings on the regular. To imply that it is unsafe for any foreign dignitary to travel to DC for a state funeral is RIDICULOUS! We have school shootings all the time and the UN hasn't picked up and left NYC yet.

And can we stop referring to those two incidents as "terrorism." It clearly wasn't "terrorism," regardless of how many media outlets want to get better ratings by saying so. One guy died by suicide in a Cyber truck, and the other guy killed a bunch of people in what could be an attempt at suicide-by-cop.

Instead, we should be talking about the mental health problems in the US military, and the shit that goes on at Fort Bragg/Liberty. It's not the first time for either of those.

To bring it back to your original question, William would be unquestionably safe for the mere 24 hours he would possibly be on US soil. Just as Edward will be. To act as if William can't travel to Washington D.C. for a funeral is nothing short of RIDICULOUS! Charles attended George H.W. Bush's funeral in 2018, and he had been out of office for 25 years at that point.

Why is everyone making excuses for a 42-year-old man who can't and won't do HIS JOB?

[sysmedsaresexist]

It's debunk time!

Hmmmmmmmm

Let's see

Dissociative Identity Disorder (2018)

Dissociative identity disorder is increasingly understood as a complex and chronic posttraumatic psychopathology closely related to severe, particularly early, child abuse.

Speaking of Psychology: What is dissociative identity disorder? With Bethany Brand, PhD (2022)

It doesn't mean that then trauma is not traumatic, because of course it still is, but over time, if that happens again and again and again, the child—because DID is a developmentally based trauma disorder, it starts in very early childhood.

Dissociative Identity Disorder: Etiology, Media, and Stigma (2020) PDF

With all the evidence, one can conclude that the posttraumatic model of Dissociative Identity Disorder is the one that accurately describes the etiology of this complex disorder.

Disorganized Attachment and the Orbitofrontal Cortex as the Basis for the Development of Dissociative Identity Disorder

One particularly promising theory posits that, in addition to traumagenic origins, infant disorganized attachment may be a significant contributor to the development of DID. Neuroimaging studies have identified areas of the brain, the orbitofrontal cortex in particular, that function differently in DID patients, thus providing a neurobiological basis for the disorder. By examining the effects of trauma on neurodevelopment, some of the differences between the normal and the DID brain can be accounted for. Attachment theory allows the cause of DID to be traced even further back to neurodevelopment that occurs during infancy. The combination of disorganized attachment with later childhood trauma provides a strong basis for the development of DID.

Dissociative Disorders in the DSM 5 (2011)

Dispelling Myths About Dissociative Identity Disorder Treatment: An Empirically Based Approach (2014) PDF

The entire goddamn paper--- just read it

Revisiting the etiological aspects of dissociative identity disorder: a biopsychosocial perspective (2014) PDF

Dissociative identity disorder (DID) is a chronic post-traumatic disorder where developmentally stressful events in childhood, including abuse, emotional neglect, disturbed attachment, and boundary violations are central and typical etiological factors.

Trauma-Related Dissociation and the Dissociative Disorders (2022)

Again, just the entire paper

Childhood trauma in patients with Dissociative Identity Disorder: A systematic review of data from 1990 to 2022 (2023)

Overall, those with DID and dissociative disorders reported more emotional and physical neglect, emotional abuse, physical abuse, and sexual abuse than those with PTSD, schizophrenic disorders, panic disorders, and complex partial epilepsy or control. Only two studies stressed early reported age as a factor in trauma exposition among the DID population. Reinders et al. (2018) established reported childhood traumas between 0 and 6 years, whereas Scroppo et al. (1998) estimated averages of 3 years for physical abuse and sexual abuse.

The ISSTD (obviously)

Sleep, trauma, fantasy and cognition in dissociative identity disorder, post-traumatic stress disorder and healthy controls: a replication and extension study (2020)

The current study shows that traumatization is the most important predictor of dissociation in individuals with DID and we assume that sleep disturbances are likely to be related to nightmares due to traumatic childhood experiences.

A Model of Post-Traumatic Stress Disorders and Dissociative Identity Disorder from the perspective of Social Emotions (2022)

Post-Traumatic Stress Disorder, Complex Post-Traumatic Stress Disorder and Dissociative Identity Disorder are conditions caused by exposure to one or more stressful events of extraordinary magnitude and/or repeated over many years. The traumatic experience(s) may have different outcomes in different persons: some people fully recover within a short time, while others go on to develop one of these three disorders, whose interdependencies are still poorly understood.

[eternal-echoes]

“Dr. Lisa Littman conducted a survey that revealed some of the most common advice that young people received online:

[H]ow to tell if they were transgender (54.2%); the reasons that they should transition right away (34.7%); that if their parents did not agree for them to take hormones that the parents were "abusive" and "transphobic" (34.3%); that if they waited to transition they would regret it (29.1%); what to say and what not to say to a doctor or therapist in order to convince them to provide hormones (22.3%); that if their parents were reluctant to take them for hormones that they should use the "suicide narrative" (telling the parents that there is a high rate of suicide in transgender teens) to convince them (20.7%); and that it is acceptable to lie or withhold information about one's medical or psychological history from a doctor or therapist in order to get hormones/get hormones faster (17.5%).(6)

One of the parents remarked, "The threat of suicide was huge leverage. What do you say to that? It's hard to have a steady hand and say no to medical transition when the other option is dead kid. She learned things to say that would push our buttons and get what she wanted and she has told us now that she learned that from trans discussion sites."(7)

Obviously, when any person makes a suicide threat, it must be taken seriously. Such an individual should be given an immediate and proper evaluation from a mental health professional. Unfortunately, when parents solicit the counsel of gender therapists, they often hear questions such as: "What would you rather have: A dead son or a live daughter?" In other words, "The only way to prevent self-harm is to accept that your child is trans and needs you to support the transition, whether it be social, hormonal, or surgical. As long as everyone goes along with this treatment pathway, the child will thrive."

This same story is promoted online to those questioning their identity as male or female. One woman, after having a hysterectomy and mastectomy at the age of twenty, said, "There's a very strong narrative that if you don't transition you are going to kill yourself... I genuinely thought it was the only option."(8)

Some individuals and parents, upon reading such information, believe that social transitioning is the safest next step, to avoid self-harm. Unlike puberty blockers, cross-sex hormones, or surgery, social transitioning involves no medicalization. Some individuals may change their name, pronouns, attire, and restrooms. Some women, in order to appear less feminine, will wear a binder around their chest (which can cause permanent damage to one's breast tissue).(9) Sometimes, a person wrestling with gender dysphoria will opt for only a few of these changes and will then plateau, not desiring further steps to manage the dysphoria. Despite the popular narrative that social transitioning benefits gender dysphoric youth, evidence for the benefits of such an approach are lacking.(10) Rather, the key predictors of such a child's well-being are the quality of their peer relationships and family functioning.”

-Jason Evert, Male, Female, or Other: A Catholic Guide to Understanding Gender

—

Work cited:

6) Littman, "Parent Reports of Adolescents and Young Adults Perceived to Show Signs of a Rapid Onset of Gender Dysphoria," 20.

7) Littman, "Parent Reports of Adolescents and Young Adults Perceived to Show Signs of a Rapid Onset of Gender Dysphoria," 21.

8) Helen Joyce, "Speaking Up for Female Eunuchs, Standpoint, February 2020.

9) Cf. Scott Mosser, "FTM/N Breast Binding Guide and Safety Before Surgery," Gender Confirmation Center.

10) E. Sievert et al., "Not Social Transition Status, but Peer Relations and Family Functioning Predict Psychological Functioning in a German Clinical Sample of Children with Gender Dysphoria," Clinical Child Psychology and Psychiatry 26:1 (2021): 79-95; W. Wong et al., "Childhood Social Gender Transition and Psychosocial Well-Being: A Comparison to Cisgender Gender-Variant Children," Clinical Practice in Pediatric Psychology 7:3 (2019), 241-253.

—

For more recommended resources on gender dysphoria, click here.

[darkmaga-returns]

from a former FDA clinical reviewer, with valuable references to the law and FDA guidance documents

Meryl Nass

Dec 11, 2024

Prior to the administration of the first doses of the Pfizer coronavirus “vaccine” in December 2020, the message was conveyed that it was 95% effective against infection, replication and spread of COVID-19, that it would protect against severe cases, hospitalization, and death, immunity would be long-lasting, and that good safety outcomes were ensured. However, a shallow dive into the study data which was made available to the public clearly indicates that there was no data to support any of these claims from the pivotal study upon which the authorization was based. In addition, the very definition of the term “vaccine” subsequently had to be changed in order to accommodate the substantial shortcomings of the treatment.

It is important to understand the critical importance of the ramifications of U.S. Food and Drug Administration (FDA) Phase 2/3 clinical outcomes regarding subsequent decision-making concerning drugs, biologics or medical devices under consideration for both authorization and subsequent approval. It should also be understood that the performance of a product during the clinical trial is assumed to be a reliable as well as accurate predictor of performance post-approval. Thus, given that the interpretation of the Pfizer clinical data is unambiguous and inarguable, its performance following authorization would not have been expected to vary much from the clinical study results upon which it was based. It is clear that the results of the examination of the FDA Briefing Document for the Pfizer-BioNTech BNT162b2 COVID-19 Vaccine Phase 2/3 clinical study C45910011, the basis for the Emergency Use Authorization (EUA), reveal a number of serious safety concerns which, when combined with the weak effectiveness outcomes, clearly demonstrate that the purpose of the Pfizer clinical study, and that of the EUA vaccine which followed, were NOT to protect the public health as it relates to COVID-19 and SARS-CoV-2.

[evidence-based-activism]

https://www.tumblr.com/ms-hells-bells/777964460410290176/its-just-straight-up-untrue-though-like-i-feel

Is this true?

I'm not sure what you're specifically asking is true or not, but here is some additional information on this topic.

The original study being referenced [1] is from 2018 and claimed to find that "sex differences in ... pursuit of STEM degrees rose with ... gender equality."

This study was almost immediately (~3 months later, which is very fast in academia) criticized as being an artifact of how we measure gender equity [2]. In short, this article explains how the Gender Gap Index (GGI), which was the equality metric used in that paper, only considers a subsection of equality indicators.

A different, earlier, paper [3] helps illustrate this further, as they found nation-level gender stereotypes concerning science and math predicted sex differences in 8th-grade science and mathematics achievement. This sort of equality measure (i.e., concerning social attitudes rather than broad economic or political indicators) was not considered nor related to the equality measure in the first paper [2].

Further, the authors of that study [1] were later required to publish a corrigendum [4] to clarify how they measured the "graduation gap" since it was repeatedly described as "ambiguous." They claim that their scale measures "propensity" to graduate in STEM. Their explanation for this measurement is inadequate, as they fail to prove it has construct validity.

This measurement was – rightfully – criticized [5] as inappropriate both conceptually and contextually. That is, their measurement purports to measure individual predispositions, but attempts to derive this from group-level data. In addition, they then compare this to the GGI, which measures outcomes not "propensities," meaning their custom "scale" was ill-matched for their outcome data. They also reiterate the issues with using the GGI for this analysis. They show the initial results are not robust to changes in predictor or outcome scales, indicating the results are spurious.

This information (along with some other methodological flaws) is what the OP of that post was referring to, and is an accurate description of the events.

---

Additional research further contests the original paper's argument:

This 2020 article [6] found the "stereotype associating math to men is stronger in more egalitarian and developed countries," which can entirely explain any evidence of a "gender-equality paradox".

This 2022 systemic literature review [7] of 26 studies further supports this theory, finding gender stereotypes drive the gender gap in STEM. (This was not specifically about the gender paradox.)

These findings were again supported in 2023 by an additional literature review [8]. (This was also not specifically about the gender paradox.)

However, these studies still did not directly challenge the existence of a gender-paradox in STEM, which further research [9] suggests does not exist at all. This 2023 article found that "when limiting to the sample of home countries to those considered in prior literature, I obtain robust evidence of a gender-equity paradox ... however, when I consider the full sample of home countries available, women’s relative representation in STEM no longer appears to decrease as equity increases." In other words, the apparent paradox may be entirely non-existent – the result of inadequate research methodology.

And indeed, this 2024 review of 25 studies [10] indicates "there is no consistent support for ... gender equality paradox." (Unfortunately, they also found that simply increasing gender equality does not, in and of itself, increase women's representation in STEM, but given the data on stereotype strength described in the earlier studies [6-8], this is not necessarily surprising.) This review also subtly rebukes the original article, concluding with, "Researchers should exercise caution when using theories articulating individual psychological mechanisms to explain cross-cultural phenomena."

---

Ultimately, this indicates there is no consistent evidence for a "paradox" in gender differences in STEM. Further, women's lower participation in STEM as compared to men can be explained by gender stereotypes, not innate differences between men and women.

I hope this helps!

References under the cut:

Stoet, G., & Geary, D. C. (2018). The gender-equality paradox in science, technology, engineering, and mathematics education. Psychological science, 29(4), 581-593.

Mastroianni, A., & McCoy, D. (2018, May 17). Countries with less gender equity have more women in stem—Huh? Scientific American. https://www.scientificamerican.com/blog/voices/countries-with-less-gender-equity-have-more-women-in-stem-huh/

Nosek, B. A., Smyth, F. L., Sriram, N., Lindner, N. M., Devos, T., Ayala, A., ... & Greenwald, A. G. (2009). National differences in gender–science stereotypes predict national sex differences in science and math achievement. Proceedings of the National Academy of Sciences, 106(26), 10593-10597.

Stoet, G., & Geary, D. C. (2020). " The gender-equality paradox in science, technology, engineering, and mathematics education": Corrigendum.

Richardson, S. S., Reiches, M. W., Bruch, J., Boulicault, M., Noll, N. E., & Shattuck-Heidorn, H. (2020). Is there a gender-equality paradox in science, technology, engineering, and math (STEM)? Commentary on the study by Stoet and Geary (2018). Psychological Science, 31(3), 338-341.

Breda, T., Jouini, E., Napp, C., & Thebault, G. (2020). Gender stereotypes can explain the gender-equality paradox. Proceedings of the National Academy of Sciences, 117(49), 31063-31069.

Verdugo-Castro, S., García-Holgado, A., & Sánchez-Gómez, M. C. (2022). The gender gap in higher STEM studies: A systematic literature review. Heliyon, 8(8).

Schmader, T. (2023). Gender inclusion and fit in STEM. Annual Review of Psychology, 74(1), 219-243.

Jergins, W. (2023). Gender equity and the gender gap in STEM: is there really a paradox?. Journal of Population Economics, 36(4), 3029-3056.

Guo, J., Marsh, H. W., Parker, P. D., & Hu, X. (2024). Cross-Cultural Patterns of Gender Differences in STEM: Gender Stratification, Gender Equality and Gender-Equality Paradoxes. Educational Psychology Review, 36(2), 37.

[martyredhate]

i think my self esteem is at a level where i'm confident im not totally fucking stupid and that what my boss is asking me to do is not statistically possible/plausible but i genuinely don't know what else he could possible be asking me to do. like okay we have 3 seasons worth of data we run the two prior seasons to predict the 3rd season. okay. but then that means we actually need at least 5 seasons?? bc were predicting on prior seasons???? LIKE IF OUR PREDICTOR IS THE PRIOR SEASON OF THE METRIC THEN FOR SEASON 2021 WE NEED SEASON 2019 AND 2020 DATA FOR THE LAGS??? BUT IF NOT THAT THEN THE MODEL LITERALLY CANT RUN BC AR1 AND GLMMTMB CANT HAVE NAS AND NEEDS FACTOR LEVEL > 2 WHICH ISNT POSSIBLE IF WE ONLY HAVE 2 SEASONS PRIOR I DONT FUCKING GET ITTTT KMS

[covid-safer-hotties]

Main Predictors of Decreasing in Quality of Life in Patients With Post-COVID-19: A Cross-Sectional Study - Published Sept 9, 2024

Highlights • Patients with post-COVID-19 alteration enhance the notion of a strong psychosomatic factors involved in the post-COVID-19 syndrome with a decrease in quality of life of millions of patients worldwide. • The patients with post-COVID-19 alterations perceive a decreased quality of life probably due to effects of pain/discomfort, anxiety/depression (according to EQ-5D), and ≥3 persistent symptoms. • The patients with post-COVID-19 alterations might benefit from neuropsychological rehabilitation programs even several months after disease onset.

Abstract

Objective We aimed to assess physical and psychosomatic manifestations of patients with long COVID and their association with a decreased patient’s quality of life (QOL) or different times elapsed since the COVID-19 diagnosis.

Methods This is a cross-sectional study. We retrospectively collected the clinical characteristics of adult patients who had tested positive for SARS-CoV-2 and had symptoms at least as early as 4 weeks after COVID-19 in México City between April 2020 and February 2021. A total of 179 were included. They answered questions to define chronic symptoms. The Sniffin’ Sticks Screening 12 test olfactory evaluation was performed. The diminish of QOL was defined by ≥10 points in the EuroQol visual analog scale between pre- and post-COVID-19, and each dimension of EQ-5D-5L test was evaluated. Chi-square test, Fisher’s exact test, Student t test, Wilcoxon rank-sum, and signed-rank test were used as required. A backward stepwise logistic regression analysis determined the factors associated with a decrease in QOL. All analyses were performed using R software version 3.6.3 (R Foundation).

Results In the multivariable analysis, post-COVID-19 pain/discomfort (adjusted odds ratio [aOR] 2.5 [1.66-9.68]; P = .01), anxiety/depression (aOR 13 [1.44-17.23]; P = .03), and persistence of ≥3 symptoms (aOR 2.6 [0.96-7.47]; P = .05) remained statistically significant associated with decreased QOL.

Conclusions Patients with long COVID-19 have decreased QOL mainly associated with pain/discomfort, anxiety/depression, and ≥3 persistent symptoms. Our findings enhanced the notion of a strong psychosomatic factors involved with long COVID-19. Therefore, these patients might benefit from neuropsychological rehabilitation, although the effect of such interventions should be evaluated.

[bunni-bonez]

the way rock ppl hyped emo rap is in retrospect really funny. All the scene predictors were saying it would be the rebirth of rock and it would herald the next evolution and then it just…stopped. Obvi it’s hard for a genre to survive when it’s biggest artists die, leaving behind the DIY SoundCloud artists and the rappers way too big for all this emo shit to pull its weight. It was a fun moment and gave us some bangers, but now it’s just a tool for old scene artists to try to stay relevant and it not working. It feels like such a timecapsule of 2016-early 2020 aesthetics and youth culture and no one was around to push it forward later on, they all abandoned it in favor of pure rock or rap, genres that actually evolve and have longevity. Genuinely I could write a whole essay about it.

I would say the same about trap metal but I think Sematary is singlehandedly keeping that sorta alive

[enyafans4communism]

when the text predictor hits you with the 2020 situationship name

[meg-literacy]

Week 1: 8/21 - 8/25

This is Balanced Literacy, Chapter 9: Assessment and Intervention in the Balanced Literacy Classroom

Big Takeaway: Assessing our students in a variety of ways is important because it allows us to know what different interventions are needed in a variety of areas in literacy.

Nugget: Holding students back in younger grades is a “strong predictor of dropping out in high school” (Fisher, 2020)

Readerly Habit: Explore relationships with other people through reading by using texts as a shared experience with another person/other people or to gain insight into the perspective of another person

Task: Choose an excerpt from your assigned course reading(s) and share with a friend in another major to get his or her insight and perspective on it.

Response:

This was a very interesting conversation to have with my roommate. For me, it was very eye opening to see how little other majors know about the world of education. Not that I expected her to know much, but there were certain things I felt were obvious that I had to take time to clarify for her. For example, I had to tell her how assessments could be either formative or summative - how the word assessment did not always mean taking a test. As a nursing major, this was not something she would naturally think, but as an education major, this was second nature to me. Our conversation happened after I read through the text and picked out a section on RTI to read and explain to her. Then, we sat and talked through the different pieces of RTI and how assessments are used to help track students and their growth. This was something I found to help me understand how to better approach parents about their students' progress and what might need more explanation. Also, I feel more confident in my knowledge about literacy RTI because I was able to explain it to my roommate in a way she could understand it as someone who has little experience with RTI. Overall, I feel like it was a good conversation, and I think I would like to continue having more conversations like this, so I can be more prepared to talk with parents who do not have a background in education.

This is my roommate and I. We tend to spend a lot of time talking about our different majors and the difficulties in the fields we plan to go into. We are both so passionate about our fields and love having deep conversations, which is why she was the perfect person to talk to about my excerpt.

[f-shipping]

4 Common Distribution Obstacles and How to Crush Them With Modern a Warehouse Management Service

As more consumers than ever make purchases and returns online, operating costs have increased significantly. According to some estimates, internet purchases for holiday gifts tripled in November 2020, and this trend doesn't appear to be slowing down any time soon. Many organizations are looking for automated solutions to assist them handle the increased throughput due to the recent increase in demand for e-commerce items and the continued workforce scarcity. The best predictor of future success in the retail warehousing industry is how well you are now doing with distribution. Your chances of consistently making a profit while achieving your strategic expansion goals rise dramatically with a well optimized warehouse management service...Read More