This video updates the previous one. Here I look at cardiac events in general - including brachycardia, pericarditis, tachycardia, cardiac arrest, myocardial infarction etc - rather than just myocarditis. I also look at elevated troponin levels.
The frequency of these symptoms is plotted against age, and it is found that young people are far more at risk than people over 30 years of age.
A link for the pdf - https://howbad.info/myoage4.pdf
In this study, I downloaded the VAERS data for the whole of 2021, and counted the number of cases where myocarditis was mentioned as a symptom, and the age of each recipient.
There were a total of 1054 cases where the age of the recipient was provided.
Then I created a pivot table to count the number of cases of myocarditis for each age.
The graph shows an exponential decline of myocarditis with age for COVID 19 vaccine recipients. For every 12 years that passes, the risk of myocarditis falls by half.
This means that babies will have –
• 2 x the risk compared to 12 year-olds
• 4 x the risk compared to 24 year-olds
• 8 x the risk compared to 36 year-olds
• 16 x the risk compared to 48 year-olds
It was pointed out that I should take into account the different population sizes for each age group, since if a smaller population produced a high case rate of myocarditis, then this would greatly increase the calculated risk of myocarditis for that population. Since young people had only recently begun vaccination, I suspected that their population was less than older age groups who began vaccination earlier in the year. Consequently, I expected the risk of myocarditis to be even higher in the young than calculated above.
In order to compensate for population size effects, I divided the number of cases for each age group by the total number of records (all adverse reactions) for that age group in VAERS.
The resulting graph shows that the risk of myocarditis starts jumping up to a very high level as age decreases. A very rough approximation is that myocarditis is halved for every 8 years that age increases. But we will need to take a closer look in order to calculate the incidence of myocarditis in babies.
Calculating the Incidence of Myocarditis for Babies
The incidence of myocarditis for babies would be the incidence at year 0, so I would need to extrapolate the graph backwards to see where it cuts the y-axis. As you can see, the graph is shooting up quite rapidly as age decreases, so I decided to create a log graph instead to better estimate the point of intersection.
It looks as if the point of intersection is at 10 3.1217 = 1323. This means that the estimated rate of myocarditis in babies following COVID-19 vaccination is 1323 cases per 100,000 = 7.43 times the rate for 15 year-olds (which was 178 cases per 100,000).
Of course, VAERS is under-reporting by an order of magnitude, but this calculation tells us that babies will get myocarditis 7.43 x more than adolescents.
The Thailand Study
The Thailand myocarditis study (Cardiovascular Effects of the BNT162b2 mRNA COVID-19 Vaccine in Adolescents[v1] | Preprints) found 7 cases of myocarditis in 301 adolescent subjects – a rate of 1 in 43 or 2.3%. Therefore, the incidence of myocarditis in babies will be 7.43 x this = 17%. So 1 in 6 babies exposed to the COVID-19 vaccine will get myocarditis.
You can find my full report at https://t.me/CovidScienceLibrary/868 or at
I have created an updated report here -
The updated report looks at the frequency of cardiac events in general, and also looks at the frequency of elevated troponin for different age groups following Covid 19 gene therapy ("vaccination")
Funeral directors, coroners, doctors and nurses are aware of a 500-600% increase in thrombosis amongst the vaccinated.
Many chose to keep quiet in order to keep their jobs - just following orders.
Even in those who show no sign of vaccine injury, micro-clotting in the capillaries has been found to occur in 52% of those vaccinated with mRNA Covid vaccines.
This results in reduction of blood flow to cells. Whilst this may not lead to major organ failure, it will lead to cell death and impaired functioning - a general fall in the level of health.
The mechanism of these clotting effects has been described here -
It is important to point out though that in addition to blood clotting there may be an additional mechanism at work in the vaccinated that restricts blood flow. I refer to the progressive growth and formation of an elastic stringy material - which has been found by coroners in the blood vessels of covid vaccinated.
If this is the case, then the mRNA in the vaccines may not simply code for the spike protein. It may also cause cells to produce this elastic material which gathers together to form strings, resulting in loss of blood to the extremities.
In effect, the mRNA may program for a clot whose rate of manifestation is determined by the rate at which cells can manufacture the clotting material. This would produce a delayed clotting effect - which should be apparent as an increasing probability of clotting over time.
I wanted to preserve this video in case it's deleted by censors. Pharma was well aware of these adverse reactions from as early as January 2021, but did not release this study to the public until 17 months later. During that time governments did not warn the public and allowed the vaccine rollout to continue - repeating the mantra that they were "safe and effective".
This interview shows how real these adverse effects are. It also shows how long lasting the effects are. They can be temporarily suppressed by immune system suppressants like corticosteroids, but symptoms return once treatment ends.
Pharma declared that all subjects had full recovery, yet the subject in the video says that she is not recovered, and that she knows at least half of the subjects, and none of them are recovered.
In their conclusion, the study says that these neurological reactions are caused by an auto-immune attack upon nerve cells - I suppose that is why an immune system inhibitor like corticosteroids provided temporary relief.
When we look at the WHO database for adverse reactions to Covid vaccines - we find that neurological symptoms are the most prominent - vigiaccess.org records 1.5 million people suffering from nervous system disorders (and that's just for Pfizer's Comirnaty brand)
If these adverse reactions are under reported by a factor of 40 (a figure established by otherstudies), we might expect the real figure to be closer to 60 million for Comirnaty alone.
In this project I counted the frequency of occurrence of each of the 64 codons in Human Chromosome 8 and arranged these 64 frequencies in the form of a 4 x 4 x 4 cube. The arrangement was not contrived, but determined solely by the arrangement of the standard genetic code table.
I then summed the frequencies for the codons belonging to each face of the cube - left and right, top and bottom, front and back.
The result was a Rubik Cube!
The sum of opposite faces was always the same !
The pdf can be downloaded here - https://t.me/creationevidence
Symptoms associated with immediate and delayed deaths following injection
with COVID-19 gene therapies.
I demonstrate that the most frequent cause of immediate deaths following vaccination is cardiac arrest.
The most frequent cause of delayed deaths (> 2 weeks after vaccination) is COVID 19.
The irony is that COVID 19 remains the dominant cause of death amongst the vaccinated for every week after weeks 1 and 2.
This suggests that the vaccine is failing to protect people from COVID 19. Why else would the main cause of death amongst the vaccinated be COVID 19?
NB. I am just saying what the data says. It says that the vaccinated die mostly from COVID 19
But what if COVID 19 does Not Exist or what if it is just like a mild flu?
I am not saying that people died because COVID 19 is dangerous, but rather because the vaccine makes people more susceptible to even a common cold. In other words, they become susceptible to everything. This is evidenced by the fact that viruses previously kept in check by the immune system suddenly proliferate after vaccination, e.g. Herpes.
Vigiaccess.org provides a list of infections that increase after COVID 19 injections -
Herpes zoster (32960)
COVID-19 pneumonia (6717)
Oral herpes (6007)
Suspected COVID-19 (5749)
Urinary tract infection (4500)
Vaccine breakthrough infection (3718)
Asymptomatic COVID-19 (3583)
Lower respiratory tract infection (1754)
Ophthalmic herpes zoster (1463)
Ear infection (1419)
Vestibular neuronitis (1306)
Sweating fever (1226)
Herpes simplex (1218)
Herpes virus infection (1059)
Viral infection (943)
Genital herpes (854)
Septic shock (730)
Upper respiratory tract infection (657)
Post-acute COVID-19 syndrome (612)
Pneumonia aspiration (569)
Injection site cellulitis (565)
Post viral fatigue syndrome (539)
Rash pustular (504)
Localised infection (493)
Notice that, at the top of the list, we have COVID 19, Influenza, Herpes , Pneumonia.
(There is also listed 909 cases of encephalitis (mad cow disease) !)
Pfizers own study, published released on Feb 28th 2021 stated that within the first 90 days of vaccine deployment the Pfizer company received 8000 reports of Herpes outbreak in the vaccinated.
I have published documents and research here - https://howbad.info/secondpeak.html
The vaccines have a delayed effect. Analysis by state shows massive increase in mortality in 7 states in the third quarter of 2021 (Q3). I demonstrate that this is due to the vaccines deployed in Q1 and Q2. So the vaccines act like a bomb with a 100 day fuse. Pharma tested this delayed effect in 7 states only - all in the south east of the USA, and they tested it on working age adults - not on the aged.
For more information please visit - https://howbad.info/secondpeak.html
Since creating this video several prominent researchers have confirmed that a 5 month delayed death effect does exist. Please see - https://howbad.info where you can find a list of this research on the home page.
The numbers vaccinated follows a 7 day cycle each week - with a minimum number of vaccines being given on a Sunday, progressively more vaccines being administered on Monday, Tuesday and Wednesday, reaching a maximum on Thursday, then declining on Friday and Saturday down to a Sunday minimum.
This pattern is repeated every week.
I was curious to see if the number of deaths resulting from the vaccines followed a similar pattern.
So I counted the number of deaths associated with vaccines given on each day of the week. To do this I looked at each vaccination date and counted the total number of reports for that date which ended in a fatality.
I found that the number of deaths correlated very strongly with the number vaccinated on a particular day. The correlation was 0.99 with a probability of 0.046.
So, every week, as the number vaccinated rose and fell in a 7 day cycle, the number of deaths also rose and fell in a 7 day cycle, and this pattern persisted throughout the whole of 2021.
Perhaps we should ask a question -
"If the vaccine is meant to reduce mortality and protect our health, then why do deaths rise as the number of vaccinated rises, and fall as the number of vaccinated falls, in a weekly cycle that repeats over and over again?"
Belgium exhibits extremely high % of severe adverse reactions compared to the other European countries.
The hypothesis being put forward here is that Belgium is the site for the finishing plant for all European vaccines, so the people of Belgium receive the vaccine batches first after manufacture.
The mRNA in the vaccines seems to degrade quickly over the first 30 days, and there is a corresponding decrease in toxicity over that period. The % of reports that are severe is three times higher for vaccine deployed within that 30 day window.
So, in consequence, the people of Belgium are receiving the vaccines first, possibly even within the 30 day window, and suffering the consequences.
This is one of those instances where its good to be last - or at least as far past the expiry date as is possible.
For each Pfizer lot I counted the number of deaths, disabilities and life threatening illnesses. I summed these counts to get a total severity -
Total severe = deaths + disabilities + Life Threatening Illnesses
Then I calculated the % of reports for each lot that were severe
% Severe = Total severe/Total number of adverse reaction reports
I reasoned that if a lot was more toxic, then a greater % of its reports would result in death, disability or life threatening illness. Conversely. if a lot was more harmless, it would result in a significantly smaller number of deaths, disabilities and life threatening illnesses. This seems like common sense.
The results were interesting.
Pfizer lots vary in % severity by 40 fold.
They also vary alphabetically. As the alphabetic identifier of the batch code ascends, the % severity decreases.
It is also observable that the pattern of variation between the alphabetic groups for Pfizer is very similar to the pattern found between the alphabetic groups for Moderna.
Extraordinarily, they even embody a similar coding system.
The following analysis uses lot numbers that are validated by the CDC - these are 339 lots with expiry dates published on the CDC expiry list. As such, the lots do not contain any spelling mistakes.
LOT TO LOT VARIABILITY
We find 5-12 times higher variability between C19 lots compared to flu vaccine lots
SEVERE ADVERSE REACTIONS
Flu Vaccines - Average is 7 severe adverse reactions per lot
C19 Vaccines - Average is 340 severe adverse reactions per lot
FLU VACCINE RANGE
Minimum number of severe adverse reactions = 1
Maximum number of severe adverse reactions = 24
C19 VACCINE RANGE
Minimum number of severe adverse reactions = 1
Maximum number of severe adverse reactions = 1544
All pharmaceutical products are subject to the same regulatory requirements for manufacturing quality control. EUA and novelty of the tech is no excuse for killing thousands of people.
LOT SIZE AND ADVERSE EVENTS
We have the exact lot sizes for 33 Pfizer lots, and have correlated these with the number of adverse reports for those lots in VAERS.
Two strong correlations emerge -
11 out of 33 of the lots were deployed in the USA
USA lots - correlation between lot size and number of adverse reactions = 0.86
22 out of 33 of the lots were deployed in other countries
Foreign lots - correlation between lot sizes and number of adverse reactions = 0.7
The USA lots appear to be a much more poisonous product - as evidenced by the higher number of adverse reaction reports when compared to same size lots for the foreign lots. Also, as lot size increases for USA lots, the number of adverse reactions increases with a steeper gradient compared to foreign lots.
This phenomenon also manifests in the difference between numbers of deaths and disabilities for US vs foreign batches. In the US, batches produce more death, whilst in foreign countries batches produce more disability. See https://www.howbad.info/geography.html
NUMBER VACCINATED AND ADVERSE EVENTS
We have an extremely strong correlation between number vaccinated in each US state, and deaths in each state following vaccination. The more doses you give, the more deaths you get. This is strong evidence of a causal relationship.
We have an extremely strong correlation between number vaccinated in each US state, and disabilities in each state following vaccination. The more doses you give, the more disabilities you get. This is strong evidence of a causal relationship.
OUTLIERS SHOW HIGHER TOXICITY FOR CERTAIN STATES
When deaths were correlated with numbers vaccinated for all states, the result was a strong correlation forming a straight line. However there were 5 outlier states showing much higher deaths than expected for the numbers vaccinated - these were Kentucky, Tennessee, Minnesota, Michigan and Georgia. Kentucky had 6 x the expected number of deaths.
When we measure the toxicity of a snake venom, we do so by the number of severe reactions following a bite as a percentage of the total number of people bitten.
So if 100 people were bitten by a snake, and 90% died, we would say that the snake venom was very toxic. However if only a 10% died, we would say it was less toxic.
Pharma use the same method to determine a lethal dose - if it kills over 50% of the recipients then that is the LD50 level for a drug.
So the measure we are using is the % of adverse reaction reports that were severe.
A severe reaction is one that results in death, disability or life threatening illness - and is identified in the VAERS database by having a Y in one or more of those columns.
Measure of Toxicity
= Percentage of adverse reaction reports that are severe
= (deaths + disabilities + life threatening illnesses)/total number of adverse reaction reports
THIS MEASURE IS COMPLETELY INDEPENDENT OF BATCH SIZE.
I looked at all the Moderna lots generating over 100 adverse reaction reports for USA 2021.
I found that the lots varies in toxicity by from 0.4 % to 15% - in other words by 30 fold.
Moderna lots have alphabetic lot numbers and can be gathered together into alphabet groups - each group characterised by a different letter of the alphabet. When I did this, I found that the toxicity of the groups decreased as the alphabet ascended.
My current project is to update all the charts on the website to include a "lethality" rating based on the above measure.
I was asked to analyse differences in adverse reactions for each state in the USA. So I looked at deaths following vaccination.
I looked at all COVID 19 vaccines together, and filtered the results so I had only the adverse reactions resulting in death.
Then I used a pivot table to count the number of deaths for each state.
Then I obtained the number vaccinated in each state as of 14th January 2022. This gave me the number of deaths per 100,000 vaccinated.
All the red states clustered at the top with up to 19 x the number of deaths per 100,000 vaccinated.
I invite you to see the results yourself at https://www.howbad.info/states.html
When I looked at disability, the pattern was reversed with blue states being at the top.
On the page https://www.howbad.info/states.html I have looked at the effect of age of recipients.
Please also look at https://www.howbad.info/sizematters.html
Many people have wanted to see if they can replicate my figures as displayed on HowBadisMyBatch.com. In order to clearly outline the steps I take, I have created a video .
I wanted to see if there was any temporal relationship between the date of vaccination and the date of death. The government and media assert that people are just dying of old age or comorbidities that have nothing to do with the vaccine.
If the vaccination had nothing to do with their deaths, then there should be no relationship between the date of vaccination and the subsequent date of death. The dates of death should NOT cluster around the date of vaccination.
So I did the following
1. I downloaded the VAERS database for the USA for 2021, and
2. filtered the table so I just had COVID 19 vaccines. Then
3. I filtered it just for records where people had died. Then
4. I subtracted the date of vaccination from the date of death to get the difference in days
6. I plotted a histogram of the days between death and vaccination
Death was found to cluster very strongly around the date of vaccination, with 12% dying in the first 2 days, and 18% in the first 4 days and 22% in the first 6 days.
When I carried out a similar study in February 2021 with 456 deaths, the % dying in the first two days was much higher - it was 27.8% in the first day. I surmise from this that pharma are endeavouring to reduce the speed of death, since it would be too noticeable - especially amongst the young.
For future research, I intend to measure the speed of death for each vaccine lot, in order to determine if some lots are more potent than others. The analogy is a snake bite. The toxin of a more poisonous snake is faster acting and might kill you in hours rather than days.
I look at data from -
4. Pfizer's own reports
and demonstrate that the covid vaccines of Pfizer, Moderna, and Astrazeneca cause 2 - 3 times the number of injuries in women compared o men.
This is a huge safety signal, showing that the vaccines are not consistent in their effects upon different groups of the population. One group (women) suffer 3 times more adverse effects than another group (men).
The vaccine was only granted EUA on the basis that its effects would be consistent. This gender disparity negates its EUA authorisation.
Has the government acknowledged this safety signal? No
Has the government carried out an investigation? No
Has the government suspended the roll out until this issue is resolved? No
It is therefore apparent that the government is ignoring the safety signals.
If the governments intention is to ignore safety signals, then their intention is not to protect you from harm. However, it is the government that is actually pushing the thing that is causing the harm. My conclusion is that they are causing harm intentionally.
Once we establish that they are intending harm, then it is natural to ask WHY, what is the purpose?
Why are the vaccines targeting the female gender? I would suggest that this has something to do with reducing reproduction.
Pfizer produced 33 batches of vaccine between July and November of 2020. However, the regulators wrote to Pfizer informing them that they were not GMP compliant in 117 different ways.
Despite these batches being non-compliant, they were shipped anyway within a week, and resulted in over 1000 deaths.
The batches are from Pfizer's EJ, EK, and EL series.
Under emergency use authorisation, GMP compliance must still be upheld.
The extreme variation in toxicity between batches of equal size is evidence of the breakdown of manufacturing compliance which resulted in high levels of death and disability.
Part 1 - Getting your data
1. Download main table and batches table from VAERS website
2. Import batches table into same workbook as main table
3. Make sure both tables are in Table format, and named simply
4. Use vLookup() function to copy batch/lot numbers from batch table to main table
5. Use vLookup() function to copy vaccine names from batch table to main table
6. Save the main table with the columns that you have added.
Part 2 - Filtering the data
7. Use the dropdown filter to select a particular manufacturer in the vaccine name column
8. Use the dropdown filter to select a particular date range in the vaccine date column
9. Select columns for Lot Number, Died, L-Threat and Disability . Copy these using Control C
10. Paste into a new worksheet
Part 3 Counting your data
11. Create a pivot table to count the number of adverse reactions for each batch
12. Copy and paste the rows of the pivot table to a new worksheet
13. Name and order the columns
Each range of toxicity (indexed by levels of adverse reactions) has a distinct alpha numeric batch code. As the alphabet ascends, the toxicity appears to decrease in a linear step-wise fashion.
Was Pfizer testing out different concentrations of vaccine - and labelling each dosage level with a particular code? Scientists normally label each experimental condition carefully, so they can record and monitor the effects of that condition. Is that what is happening here?
Certainly, the batch codes within a particular toxicity range are not random between one range and another, but seem to ascend alphabetically as the toxicity falls.
And within each range, all the batch codes form a sequential mathematical series !
It appears that the adverse reactions may not be so much the product of the ill health of the vaccine recipients, but rather may simply be dependent upon the particular batch code series administered.
Seeing that there is such a wide variation in the number of adverse reactions, number of deaths and number of disabilities associated with different batches, it made sense to create an app/ website where people could look up a batch code and see if that batch was on record for causing problems.
The website is available here - http://www.howbad.info
How Bad is My Batch is quite simple to use, and is recommended for doctors and nurses - so they can see if a batch is bad before administering it.
For the same reason, it is recommended for parents and teachers - who are responsible for the welfare of the children. Parents and teachers can check the historical records for the safety of a particular batch here - http://www.howbad.info
If you would like to host this app on your own website, then you can download the source code as a compressed file directly from the website.
It is hoped that this app will raise awareness of the variability between batches, and also help people to make a more informed decision as to whether they want vaccine from any particular batch - based upon the number of deaths, disabilities and life threatening illnesses associated with that batch historically.
Scientists compared variability between Flu vaccine lots with variability between Covid vaccine lots, and were shocked to find EXCESSIVE and HIGHLY UNUSUAL degree of variation between different lots of the Covid vaccines.
When 22,000 flu vaccine lots were examined, almost all of them produced 5 or fewer severe adverse reactions per lot. Only 2 lots exceeded this (22 SAEs and 37 SAEs)
When the same number of Covid vaccines were compared, there was found to be huge variation - with many lots producing 5 or fewer severe adverse reactions , but many others producing 1000-5000 severe adverse reactions.
So the coefficient of variation for Covid vaccines is 1000% - compared to the coefficient of variation for flu vaccines (which is 99%)
In other words, Covid vaccines vary 10 times more than flu vaccines.
Under FDA regulations, such high variation between different lots and between different manufacturers means the drugs are ADULTERATED, and carries significant legal penalties.
Such variation may also negate EUA authorisation - which is only granted based on consistency of the product.
The purpose of this study was to determine if there is any significant variation in batch toxicity - by counting the number of adverse reaction reports associated with each batch number.
The number of adverse reactions in each State of the USA caused by each individual batch was also counted.
The results were interesting.
70% of the batches were harmless - producing only one adverse reaction report each.
80% of the batches produced only 1 or 2 adverse reaction reports. So the vast majority of the batches were harmless.
However, a very distinct and significant anomaly appeared.
1 in 200 (0.5%) of the batches was found to be between 1000 and 5000 times more toxic than the average batch, and accounted for 70% of all of the adverse reactions, and 70% of all of the deaths
1 in 20 (5%) of the batches accounted for 90% of the adverse reactions and deaths.
These toxic batches consistently produced high levels of adverse reactions, disability and death across every State in the USA, in sharp contrast to the harmless batches. As a consequence the toxic batches are easily visible as a string of numbers across the screen in the video above.
The consistency with which these batches produce adverse reactions indicates that the adverse reactions are caused by the batches rather than by the health status of the recipients.
The probable reason for these more toxic batches is either
1. The batches contain added ingredients that are highly toxic
2. The batches are of a higher concentration of the same ingredients
The later suggests that Pharma may be investigating the LD50 (Lethal Dose) in order to establish the therapeutic range. Needless to say, such experimentation carried out on human beings has already resulted in deaths and disabilities - as shown in this report.
The question arises -
If there is such high variation in the toxicity of the batches, should we be mandating this medical intervention?
Should we be coercing people under threat of losing their job or being confined at home , into taking something where death or disability is a possible adverse reaction?
Here is a translation of what he says -
“I think you all have heard few days back what the prime minister said that the vaccines are here now and and ready for anyone who wants to get it, but only if you want to, I take this opportunity as a friend of you all and tell you never agree on taking the vaccine, I repeat DO NOT TAKE IT.as the President samia said before that she have sent people to do research about the vaccine and here is the result they brought back, ”people should take vaccine only if they want to, but to the following groups it should be a must to take the vaccine, religious leaders, military, doctors and nurses and migration officers and tour guides, this is is very fun and stupid, we do not know how these vax will affect them, if they turn zombies or whatever bad, who will protect us?who will cure us?who will guide us spiritual?there is a God I worship and I possess his power and he made me stand here before you I say this is insane and I forbid this, whoever is behind this doesn't want us to grow and live our lives, and the fact they include religious leaders to be the first it means they want us to be lost who will reminds our kids about Quran, or the Bible,? I say this may this devilish go where it came from, they have failed here,
Ask yourself this corona where does it get power now as soon as our beloved magufuri passed away?who is behind this?
During the funeral we were millions of people at the airport who went to say goodbye by to the president magufuri, where was that corona during that time?we went through election, thousands of people were gathering together after the president samia elected again million of people showed up to witness it, where was that corona? Then suddenly they are saying that there is corona after we just buried our magufuri,I'm not trying to point out finger here. God said do not stay quite because I will use your voice to speak to others, they elect me now let me act on my position “there are people think I will be killed, hahaha whoever think will kill me first they will die before me, and whoever will take a gun and point it on it will kill themselves first, who will put poison they will go first as it says it the Bible “i will bring my witness in the world to speak of my existence and whoever tries to harm they will face my hand,
Those who are willing to lose their life because of me they will get great rewards.love,respect and great wealthy are from God, we are here to lead people to the goodness of God, there is the reason why magufuli elect me, it was God not him so here I am.praise the lord this is the voice of the servant of God.
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